Mercurial > repos > bgruening > sklearn_sample_generator
annotate main_macros.xml @ 9:049c8e817869 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
author | bgruening |
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date | Wed, 30 May 2018 08:24:49 -0400 |
parents | 9a2ad992d048 |
children | badf6af0a182 |
rev | line source |
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0
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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1 <macros> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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2 <token name="@VERSION@">0.9</token> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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3 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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4 <token name="@COLUMNS_FUNCTION@"> |
8
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
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5 def read_columns(f, c, return_df=False, **args): |
2
8b2620209553
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 641ac64ded23fbb6fe85d5f13926da12dcce4e76
bgruening
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6 data = pandas.read_csv(f, **args) |
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dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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7 cols = c.split (',') |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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8 cols = map(int, cols) |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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9 cols = list(map(lambda x: x - 1, cols)) |
8
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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10 data = data.iloc[:,cols] |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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11 y = data.values |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
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12 if return_df: |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
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13 return y, data |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
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14 else: |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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15 return y |
0
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
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16 return y |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
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17 </token> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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18 |
9
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
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19 ## generate an instance for one of sklearn.feature_selection classes |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
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20 ## must call "@COLUMNS_FUNCTION@" |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
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21 <token name="@FEATURE_SELECTOR_FUNCTION@"> |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
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22 def feature_selector(inputs): |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
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diff
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23 selector = inputs["selected_algorithm"] |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
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24 selector = getattr(sklearn.feature_selection, selector) |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
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25 options = inputs["options"] |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
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26 |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
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27 if inputs['selected_algorithm'] == 'SelectFromModel': |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
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28 if not options['threshold'] or options['threshold'] == 'None': |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
changeset
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29 options['threshold'] = None |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
changeset
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30 if 'extra_estimator' in inputs and inputs['extra_estimator']['has_estimator'] == 'no_load': |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
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31 fitted_estimator = pickle.load(open("inputs['extra_estimator']['fitted_estimator']", 'r')) |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
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32 new_selector = selector(fitted_estimator, prefit=True, **options) |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
changeset
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33 else: |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
changeset
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34 estimator=inputs["estimator"] |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
changeset
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35 if inputs["extra_estimator"]["has_estimator"]=='no': |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
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36 estimator=inputs["extra_estimator"]["new_estimator"] |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
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37 estimator=eval(estimator.replace('__dq__', '"').replace("__sq__","'")) |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
changeset
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38 new_selector = selector(estimator, **options) |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
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39 |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
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40 elif inputs['selected_algorithm'] in ['RFE', 'RFECV']: |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
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41 if 'scoring' in options and (not options['scoring'] or options['scoring'] == 'None'): |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
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42 options['scoring'] = None |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
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43 estimator=inputs["estimator"] |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
changeset
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44 if inputs["extra_estimator"]["has_estimator"]=='no': |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
changeset
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45 estimator=inputs["extra_estimator"]["new_estimator"] |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
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46 estimator=eval(estimator.replace('__dq__', '"').replace("__sq__","'")) |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
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47 new_selector = selector(estimator, **options) |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
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48 |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
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49 elif inputs['selected_algorithm'] == "VarianceThreshold": |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
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50 new_selector = selector(**options) |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
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51 |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
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diff
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52 else: |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
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53 score_func = inputs["score_func"] |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
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diff
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54 score_func = getattr(sklearn.feature_selection, score_func) |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
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55 new_selector = selector(score_func, **options) |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
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56 |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
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57 return new_selector |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
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58 </token> |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
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59 |
0
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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60 <xml name="python_requirements"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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61 <requirements> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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62 <requirement type="package" version="2.7">python</requirement> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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63 <requirement type="package" version="0.19.1">scikit-learn</requirement> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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64 <requirement type="package" version="0.22.0">pandas</requirement> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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65 <yield /> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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66 </requirements> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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67 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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68 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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69 <xml name="macro_stdio"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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70 <stdio> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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71 <exit_code range="1:" level="fatal" description="Error occurred. Please check Tool Standard Error"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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72 </stdio> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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73 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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74 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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75 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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76 <!--Generic interface--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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77 <xml name="train_loadConditional" token_train="tabular" token_data="tabular" token_model="txt"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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78 <conditional name="selected_tasks"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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79 <param name="selected_task" type="select" label="Select a Classification Task"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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80 <option value="train" selected="true">Train a model</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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81 <option value="load">Load a model and predict</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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82 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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83 <when value="load"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
84 <param name="infile_model" type="data" format="@MODEL@" label="Models" help="Select a model file."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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changeset
|
85 <param name="infile_data" type="data" format="@DATA@" label="Data (tabular)" help="Select the dataset you want to classify."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff
changeset
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86 <conditional name="prediction_options"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
87 <param name="prediction_option" type="select" label="Select the type of prediction"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
88 <option value="predict">Predict class labels</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff
changeset
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89 <option value="advanced">Include advanced options</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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|
90 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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91 <when value="predict"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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changeset
|
92 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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changeset
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93 <when value="advanced"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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changeset
|
94 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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changeset
|
95 </conditional> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
96 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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97 <when value="train"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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98 <param name="infile_train" type="data" format="@TRAIN@" label="Training samples (tabular)"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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99 <conditional name="selected_algorithms"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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100 <yield /> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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101 </conditional> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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102 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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103 </conditional> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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104 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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105 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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106 <xml name="sl_Conditional" token_train="tabular" token_data="tabular" token_model="txt"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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107 <conditional name="selected_tasks"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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108 <param name="selected_task" type="select" label="Select a Classification Task"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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109 <option value="train" selected="true">Train a model</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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110 <option value="load">Load a model and predict</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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111 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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112 <when value="load"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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113 <param name="infile_model" type="data" format="@MODEL@" label="Models" help="Select a model file."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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114 <param name="infile_data" type="data" format="@DATA@" label="Data (tabular)" help="Select the dataset you want to classify."/> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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115 <param name="header" type="boolean" optional="True" truevalue="booltrue" falsevalue="boolfalse" checked="False" label="Does the dataset contain header:" /> |
0
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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116 <conditional name="prediction_options"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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117 <param name="prediction_option" type="select" label="Select the type of prediction"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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118 <option value="predict">Predict class labels</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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119 <option value="advanced">Include advanced options</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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120 </param> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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121 <when value="predict"> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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122 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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123 <when value="advanced"> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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124 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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125 </conditional> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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126 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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127 <when value="train"> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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128 <conditional name="selected_algorithms"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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129 <yield /> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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130 </conditional> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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131 </when> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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132 </conditional> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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133 </xml> |
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134 |
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135 <xml name="advanced_section"> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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136 <section name="options" title="Advanced Options" expanded="False"> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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137 <yield /> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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138 </section> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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139 </xml> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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140 |
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141 |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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142 <!--Generalized Linear Models--> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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143 <xml name="loss" token_help=" " token_select="false"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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144 <param argument="loss" type="select" label="Loss function" help="@HELP@"> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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145 <option value="squared_loss" selected="@SELECT@">squared loss</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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146 <option value="huber">huber</option> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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147 <option value="epsilon_insensitive">epsilon insensitive</option> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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148 <option value="squared_epsilon_insensitive">squared epsilon insensitive</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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149 <yield/> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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150 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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151 </xml> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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152 |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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153 <xml name="penalty" token_help=" "> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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154 <param argument="penalty" type="select" label="Penalty (regularization term)" help="@HELP@"> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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155 <option value="l2" selected="true">l2</option> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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156 <option value="l1">l1</option> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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157 <option value="elasticnet">elastic net</option> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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158 <option value="none">none</option> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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159 <yield/> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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160 </param> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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161 </xml> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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162 |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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163 <xml name="l1_ratio" token_default_value="0.15" token_help=" "> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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164 <param argument="l1_ratio" type="float" value="@DEFAULT_VALUE@" label="Elastic Net mixing parameter" help="@HELP@"/> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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165 </xml> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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166 |
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167 <xml name="epsilon" token_default_value="0.1" token_help="Used if loss is ‘huber’, ‘epsilon_insensitive’, or ‘squared_epsilon_insensitive’. "> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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168 <param argument="epsilon" type="float" value="@DEFAULT_VALUE@" label="Epsilon (epsilon-sensitive loss functions only)" help="@HELP@"/> |
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169 </xml> |
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170 |
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171 <xml name="learning_rate_s" token_help=" " token_selected1="false" token_selected2="false"> |
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172 <param argument="learning_rate" type="select" optional="true" label="Learning rate schedule" help="@HELP@"> |
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173 <option value="optimal" selected="@SELECTED1@">optimal</option> |
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174 <option value="constant">constant</option> |
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175 <option value="invscaling" selected="@SELECTED2@">inverse scaling</option> |
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176 <yield/> |
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177 </param> |
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178 </xml> |
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179 |
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180 <xml name="eta0" token_default_value="0.0" token_help="Used with ‘constant’ or ‘invscaling’ schedules. "> |
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181 <param argument="eta0" type="float" value="@DEFAULT_VALUE@" label="Initial learning rate" help="@HELP@"/> |
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182 </xml> |
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183 |
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184 <xml name="power_t" token_default_value="0.5" token_help=" "> |
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185 <param argument="power_t" type="float" value="@DEFAULT_VALUE@" label="Exponent for inverse scaling learning rate" help="@HELP@"/> |
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186 </xml> |
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187 |
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188 <xml name="normalize" token_checked="false" token_help=" "> |
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189 <param argument="normalize" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="@CHECKED@" label="Normalize samples before training" help=" "/> |
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190 </xml> |
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191 |
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192 <xml name="copy_X" token_checked="true" token_help=" "> |
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193 <param argument="copy_X" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="@CHECKED@" label="Use a copy of samples" help="If false, samples would be overwritten. "/> |
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194 </xml> |
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195 |
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196 <xml name="ridge_params"> |
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197 <expand macro="normalize"/> |
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198 <expand macro="alpha" default_value="1.0"/> |
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199 <expand macro="fit_intercept"/> |
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200 <expand macro="max_iter" default_value=""/> |
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201 <expand macro="tol" default_value="0.001" help_text="Precision of the solution. "/> |
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202 <!--class_weight--> |
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203 <expand macro="copy_X"/> |
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204 <param argument="solver" type="select" value="" label="Solver to use in the computational routines" help=" "> |
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205 <option value="auto" selected="true">auto</option> |
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206 <option value="svd">svd</option> |
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207 <option value="cholesky">cholesky</option> |
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208 <option value="lsqr">lsqr</option> |
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209 <option value="sparse_cg">sparse_cg</option> |
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210 <option value="sag">sag</option> |
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211 </param> |
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212 <expand macro="random_state"/> |
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213 </xml> |
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214 |
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215 <!--Ensemble methods--> |
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216 <xml name="n_estimators" token_default_value="10" token_help=" "> |
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217 <param argument="n_estimators" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Number of trees in the forest" help="@HELP@"/> |
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218 </xml> |
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219 |
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220 <xml name="max_depth" token_default_value="" token_help=" "> |
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221 <param argument="max_depth" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Maximum depth of the tree" help="@HELP@"/> |
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222 </xml> |
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223 |
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224 <xml name="min_samples_split" token_type="integer" token_default_value="2" token_help=" "> |
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225 <param argument="min_samples_split" type="@TYPE@" optional="true" value="@DEFAULT_VALUE@" label="Minimum number of samples required to split an internal node" help="@HELP@"/> |
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226 </xml> |
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227 |
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228 <xml name="min_samples_leaf" token_type="integer" token_default_value="1" token_label="Minimum number of samples in newly created leaves" token_help=" "> |
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229 <param argument="min_samples_leaf" type="@TYPE@" optional="true" value="@DEFAULT_VALUE@" label="@LABEL@" help="@HELP@"/> |
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230 </xml> |
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231 |
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232 <xml name="min_weight_fraction_leaf" token_default_value="0.0" token_help=" "> |
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233 <param argument="min_weight_fraction_leaf" type="float" optional="true" value="@DEFAULT_VALUE@" label="Minimum weighted fraction of the input samples required to be at a leaf node" help="@HELP@"/> |
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234 </xml> |
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235 |
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236 <xml name="max_leaf_nodes" token_default_value="" token_help=" "> |
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237 <param argument="max_leaf_nodes" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Maximum number of leaf nodes in best-first method" help="@HELP@"/> |
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238 </xml> |
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239 |
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240 <xml name="min_impurity_decrease" token_default_value="0" token_help=" "> |
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241 <param argument="min_impurity_decrease" type="float" value="@DEFAULT_VALUE@" optional="true" label="The threshold value of impurity for stopping node splitting" help="@HELP@"/> |
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242 </xml> |
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243 |
0
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244 <xml name="bootstrap" token_checked="true" token_help=" "> |
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245 <param argument="bootstrap" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolflase" checked="@CHECKED@" label="Use bootstrap samples for building trees." help="@HELP@"/> |
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246 </xml> |
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247 |
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248 <xml name="criterion" token_help=" "> |
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249 <param argument="criterion" type="select" label="Function to measure the quality of a split" help=" "> |
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250 <option value="gini" selected="true">Gini impurity</option> |
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251 <option value="entropy">Information gain</option> |
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252 <yield/> |
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253 </param> |
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254 </xml> |
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255 |
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256 <xml name="criterion2" token_help=""> |
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257 <param argument="criterion" type="select" label="Function to measure the quality of a split" > |
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258 <option value="mse">mse - mean squared error</option> |
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259 <option value="mae">mae - mean absolute error</option> |
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260 <yield/> |
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261 </param> |
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262 </xml> |
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263 |
0
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264 <xml name="oob_score" token_checked="false" token_help=" "> |
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265 <param argument="oob_score" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="@CHECKED@" label="Use out-of-bag samples to estimate the generalization error" help="@HELP@"/> |
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266 </xml> |
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267 |
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268 <xml name="max_features"> |
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269 <conditional name="select_max_features"> |
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270 <param argument="max_features" type="select" label="max_features"> |
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271 <option value="auto" selected="true">auto - max_features=n_features</option> |
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272 <option value="sqrt">sqrt - max_features=sqrt(n_features)</option> |
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273 <option value="log2">log2 - max_features=log2(n_features)</option> |
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274 <option value="number_input">I want to type the number in or input None type</option> |
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275 </param> |
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276 <when value="auto"> |
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277 </when> |
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278 <when value="sqrt"> |
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279 </when> |
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280 <when value="log2"> |
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281 </when> |
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282 <when value="number_input"> |
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283 <param name="num_max_features" type="float" value="" optional="true" label="Input max_features number:" help="If int, consider the number of features at each split; If float, then max_features is a percentage and int(max_features * n_features) features are considered at each split."/> |
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284 </when> |
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285 </conditional> |
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286 </xml> |
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287 |
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288 <xml name="verbose" token_default_value="0" token_help="If 1 then it prints progress and performance once in a while. If greater than 1 then it prints progress and performance for every tree."> |
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289 <param argument="verbose" type="integer" value="@DEFAULT_VALUE@" optional="true" label="Enable verbose output" help="@HELP@"/> |
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290 </xml> |
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291 |
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292 <xml name="learning_rate" token_default_value="1.0" token_help=" "> |
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293 <param argument="learning_rate" type="float" optional="true" value="@DEFAULT_VALUE@" label="Learning rate" help="@HELP@"/> |
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294 </xml> |
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295 |
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296 <xml name="subsample" token_help=" "> |
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297 <param argument="subsample" type="float" value="1.0" optional="true" label="The fraction of samples to be used for fitting the individual base learners" help="@HELP@"/> |
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298 </xml> |
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299 |
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300 <xml name="presort"> |
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301 <param argument="presort" type="select" label="Whether to presort the data to speed up the finding of best splits in fitting" > |
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302 <option value="auto" selected="true">auto</option> |
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303 <option value="true">true</option> |
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304 <option value="false">false</option> |
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305 </param> |
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306 </xml> |
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307 |
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308 <!--Parameters--> |
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309 <xml name="tol" token_default_value="0.0" token_help_text="Early stopping heuristics based on the relative center changes. Set to default (0.0) to disable this convergence detection."> |
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310 <param argument="tol" type="float" optional="true" value="@DEFAULT_VALUE@" label="Tolerance" help="@HELP_TEXT@"/> |
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311 </xml> |
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312 |
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313 <xml name="n_clusters" token_default_value="8"> |
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314 <param argument="n_clusters" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Number of clusters" help=" "/> |
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315 </xml> |
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316 |
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317 <xml name="fit_intercept" token_checked="true"> |
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318 <param argument="fit_intercept" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="@CHECKED@" label="Estimate the intercept" help="If false, the data is assumed to be already centered."/> |
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319 </xml> |
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320 |
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321 <xml name="n_jobs" token_default_value="1" token_label="The number of jobs to run in parallel for both fit and predict"> |
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322 <param argument="n_jobs" type="integer" value="@DEFAULT_VALUE@" optional="true" label="@LABEL@" help="If -1, then the number of jobs is set to the number of cores"/> |
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323 </xml> |
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324 |
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325 <xml name="n_iter" token_default_value="5" token_help_text="The number of passes over the training data (aka epochs). "> |
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326 <param argument="n_iter" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Number of iterations" help="@HELP_TEXT@"/> |
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327 </xml> |
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328 |
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329 <xml name="shuffle" token_checked="true" token_help_text=" " token_label="Shuffle data after each iteration"> |
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330 <param argument="shuffle" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="@CHECKED@" label="@LABEL@" help="@HELP_TEXT@"/> |
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331 </xml> |
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332 |
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333 <xml name="random_state" token_default_value="" token_help_text="Integer number. The seed of the pseudo random number generator to use when shuffling the data. A fixed seed allows reproducible results."> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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334 <param argument="random_state" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Random seed number" help="@HELP_TEXT@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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335 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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336 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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337 <xml name="warm_start" token_checked="true" token_help_text="When set to True, reuse the solution of the previous call to fit as initialization,otherwise, just erase the previous solution."> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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338 <param argument="warm_start" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="@CHECKED@" label="Perform warm start" help="@HELP_TEXT@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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339 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
340 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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341 <xml name="C" token_default_value="1.0" token_help_text="Penalty parameter C of the error term."> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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342 <param argument="C" type="float" optional="true" value="@DEFAULT_VALUE@" label="Penalty parameter" help="@HELP_TEXT@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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343 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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344 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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345 <!--xml name="class_weight" token_default_value="" token_help_text=""> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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346 <param argument="class_weight" type="" optional="true" value="@DEFAULT_VALUE@" label="" help="@HELP_TEXT@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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347 </xml--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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348 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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349 <xml name="alpha" token_default_value="0.0001" token_help_text="Constant that multiplies the regularization term if regularization is used. "> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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350 <param argument="alpha" type="float" optional="true" value="@DEFAULT_VALUE@" label="Regularization coefficient" help="@HELP_TEXT@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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351 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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352 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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353 <xml name="n_samples" token_default_value="100" token_help_text="The total number of points equally divided among clusters."> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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354 <param argument="n_samples" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Number of samples" help="@HELP_TEXT@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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355 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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356 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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357 <xml name="n_features" token_default_value="2" token_help_text="Number of different numerical properties produced for each sample."> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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358 <param argument="n_features" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Number of features" help="@HELP_TEXT@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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359 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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360 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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361 <xml name="noise" token_default_value="0.0" token_help_text="Floating point number. "> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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362 <param argument="noise" type="float" optional="true" value="@DEFAULT_VALUE@" label="Standard deviation of the Gaussian noise added to the data" help="@HELP_TEXT@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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363 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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364 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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changeset
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365 <xml name="C" token_default_value="1.0" token_help_text="Penalty parameter C of the error term. "> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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366 <param argument="C" type="float" optional="true" value="@DEFAULT_VALUE@" label="Penalty parameter" help="@HELP_TEXT@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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367 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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368 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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369 <xml name="max_iter" token_default_value="300" token_label="Maximum number of iterations per single run" token_help_text=" "> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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370 <param argument="max_iter" type="integer" optional="true" value="@DEFAULT_VALUE@" label="@LABEL@" help="@HELP_TEXT@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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371 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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372 |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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373 <xml name="n_init" token_default_value="10" > |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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374 <param argument="n_init" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Number of runs with different centroid seeds" help=" "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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375 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
376 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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377 <xml name="init"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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378 <param argument="init" type="select" label="Centroid initialization method" help="''k-means++'' selects initial cluster centers that speed up convergence. ''random'' chooses k observations (rows) at random from data as initial centroids."> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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379 <option value="k-means++">k-means++</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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380 <option value="random">random</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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381 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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382 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
383 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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384 <xml name="gamma" token_default_value="1.0" token_label="Scaling parameter" token_help_text=" "> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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385 <param argument="gamma" type="float" optional="true" value="@DEFAULT_VALUE@" label="@LABEL@" help="@HELP_TEXT@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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386 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
387 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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388 <xml name="degree" token_default_value="3" token_label="Degree of the polynomial" token_help_text=" "> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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389 <param argument="degree" type="integer" optional="true" value="@DEFAULT_VALUE@" label="@LABEL@" help="@HELP_TEXT@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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390 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
391 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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392 <xml name="coef0" token_default_value="1" token_label="Zero coefficient" token_help_text=" "> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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393 <param argument="coef0" type="integer" optional="true" value="@DEFAULT_VALUE@" label="@LABEL@" help="@HELP_TEXT@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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394 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
395 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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396 <xml name="pos_label" token_default_value=""> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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397 <param argument="pos_label" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Label of the positive class" help=" "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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398 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
399 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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400 <xml name="average"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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401 <param argument="average" type="select" optional="true" label="Averaging type" help=" "> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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402 <option value="micro">Calculate metrics globally by counting the total true positives, false negatives and false positives. (micro)</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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403 <option value="samples">Calculate metrics for each instance, and find their average. Only meaningful for multilabel. (samples)</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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404 <option value="macro">Calculate metrics for each label, and find their unweighted mean. This does not take label imbalance into account. (macro)</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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405 <option value="weighted">Calculate metrics for each label, and find their average, weighted by support (the number of true instances for each label). This alters ‘macro’ to account for label imbalance; it can result in an F-score that is not between precision and recall. (weighted)</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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406 <option value="None">None</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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407 <yield/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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408 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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409 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
410 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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411 <xml name="beta"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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412 <param argument="beta" type="float" value="1.0" label="The strength of recall versus precision in the F-score" help=" "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
413 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
414 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
415 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
416 <!--Data interface--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
417 <xml name="tabular_input"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
418 <param name="infile" type="data" format="tabular" label="Data file with numeric values"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
419 <param name="start_column" type="data_column" data_ref="infile" optional="True" label="Select a subset of data. Start column:" /> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
420 <param name="end_column" type="data_column" data_ref="infile" optional="True" label="End column:" /> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
421 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
422 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
423 <xml name="sample_cols" token_label1="File containing true class labels:" token_label2="File containing predicted class labels:" token_multiple1="False" token_multiple2="False" token_format1="tabular" token_format2="tabular" token_help1="" token_help2=""> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
424 <param name="infile1" type="data" format="@FORMAT1@" label="@LABEL1@" help="@HELP1@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
425 <param name="col1" multiple="@MULTIPLE1@" type="data_column" data_ref="infile1" label="Select target column(s):"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
426 <param name="infile2" type="data" format="@FORMAT2@" label="@LABEL2@" help="@HELP2@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
427 <param name="col2" multiple="@MULTIPLE2@" type="data_column" data_ref="infile2" label="Select target column(s):"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
428 <yield/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
429 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
430 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
431 <xml name="samples_tabular" token_multiple1="False" token_multiple2="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
432 <param name="infile1" type="data" format="tabular" label="Training samples dataset:"/> |
4
24485b92adf5
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit cea052cf3b8dd4f3620253bd222e126de32e7466
bgruening
parents:
3
diff
changeset
|
433 <param name="header1" type="boolean" optional="True" truevalue="booltrue" falsevalue="boolfalse" checked="False" label="Does the dataset contain header:" /> |
0
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
434 <param name="col1" multiple="@MULTIPLE1@" type="data_column" data_ref="infile1" label="Select target column(s):"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
435 <param name="infile2" type="data" format="tabular" label="Dataset containing class labels:"/> |
4
24485b92adf5
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit cea052cf3b8dd4f3620253bd222e126de32e7466
bgruening
parents:
3
diff
changeset
|
436 <param name="header2" type="boolean" optional="True" truevalue="booltrue" falsevalue="boolfalse" checked="False" label="Does the dataset contain header:" /> |
0
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
437 <param name="col2" multiple="@MULTIPLE2@" type="data_column" data_ref="infile2" label="Select target column(s):"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
438 <yield/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
439 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
440 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
441 <xml name="clf_inputs_extended" token_label1=" " token_label2=" " token_multiple="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
442 <conditional name="true_columns"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
443 <param name="selected_input1" type="select" label="Select the input type of true labels dataset:"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
444 <option value="tabular" selected="true">Tabular</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
445 <option value="sparse">Sparse</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
446 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
447 <when value="tabular"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
448 <param name="infile1" type="data" label="@LABEL1@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
449 <param name="col1" type="data_column" data_ref="infile1" label="Select the target column:"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
450 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
451 <when value="sparse"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
452 <param name="infile1" type="data" format="txt" label="@LABEL1@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
453 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
454 </conditional> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
455 <conditional name="predicted_columns"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
456 <param name="selected_input2" type="select" label="Select the input type of predicted labels dataset:"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
457 <option value="tabular" selected="true">Tabular</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
458 <option value="sparse">Sparse</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
459 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
460 <when value="tabular"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
461 <param name="infile2" type="data" label="@LABEL2@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
462 <param name="col2" multiple="@MULTIPLE@" type="data_column" data_ref="infile2" label="Select target column(s):"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
463 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
464 <when value="sparse"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
465 <param name="infile2" type="data" format="txt" label="@LABEL1@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
466 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
467 </conditional> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
468 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
469 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
470 <xml name="clf_inputs" token_label1="Dataset containing true labels (tabular):" token_label2="Dataset containing predicted values (tabular):" token_multiple1="False" token_multiple="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
471 <param name="infile1" type="data" format="tabular" label="@LABEL1@"/> |
7
8a42afda5083
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
6
diff
changeset
|
472 <param name="header1" type="boolean" optional="True" truevalue="booltrue" falsevalue="boolfalse" checked="False" label="Does the dataset contain header:" /> |
0
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
473 <param name="col1" multiple="@MULTIPLE1@" type="data_column" data_ref="infile1" label="Select the target column:"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
474 <param name="infile2" type="data" format="tabular" label="@LABEL2@"/> |
7
8a42afda5083
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
6
diff
changeset
|
475 <param name="header2" type="boolean" optional="True" truevalue="booltrue" falsevalue="boolfalse" checked="False" label="Does the dataset contain header:" /> |
0
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
476 <param name="col2" multiple="@MULTIPLE@" type="data_column" data_ref="infile2" label="Select target column(s):"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
477 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
478 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
479 <xml name="multiple_input" token_name="input_files" token_max_num="10" token_format="txt" token_label="Sparse matrix file (.mtx, .txt)" token_help_text="Specify a sparse matrix file in .txt format."> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
480 <repeat name="@NAME@" min="1" max="@MAX_NUM@" title="Select input file(s):"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
481 <param name="input" type="data" format="@FORMAT@" label="@LABEL@" help="@HELP_TEXT@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
482 </repeat> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
483 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
484 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
485 <xml name="sparse_target" token_label1="Select a sparse matrix:" token_label2="Select the tabular containing true labels:" token_multiple="False" token_format1="txt" token_format2="tabular" token_help1="" token_help2=""> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
486 <param name="infile1" type="data" format="@FORMAT1@" label="@LABEL1@" help="@HELP1@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
487 <param name="infile2" type="data" format="@FORMAT2@" label="@LABEL2@" help="@HELP2@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
488 <param name="col2" multiple="@MULTIPLE@" type="data_column" data_ref="infile2" label="Select target column(s):"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
489 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
490 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
491 <xml name="sl_mixed_input"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
492 <conditional name="input_options"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
493 <param name="selected_input" type="select" label="Select input type:"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
494 <option value="tabular" selected="true">tabular data</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
495 <option value="sparse">sparse matrix</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
496 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
497 <when value="tabular"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
498 <expand macro="samples_tabular" multiple1="true"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
499 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
500 <when value="sparse"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
501 <expand macro="sparse_target"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
502 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
503 </conditional> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
504 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
505 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
506 <xml name="multitype_input" token_format="tabular" token_help="All datasets with tabular format are supporetd."> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
507 <param name="infile_transform" type="data" format="@FORMAT@" label="Select a dataset to transform:" help="@HELP@"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
508 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
509 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
510 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
511 <!--Advanced options--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
512 <xml name="nn_advanced_options"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
513 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
514 <yield/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
515 <param argument="weights" type="select" label="Weight function" help="Used in prediction."> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
516 <option value="uniform" selected="true">Uniform weights. All points in each neighborhood are weighted equally. (Uniform)</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
517 <option value="distance">Weight points by the inverse of their distance. (Distance)</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
518 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
519 <param argument="algorithm" type="select" label="Neighbor selection algorithm" help=" "> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
520 <option value="auto" selected="true">Auto</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
521 <option value="ball_tree">BallTree</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
522 <option value="kd_tree">KDTree</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
523 <option value="brute">Brute-force</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
524 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
525 <param argument="leaf_size" type="integer" value="30" label="Leaf size" help="Used with BallTree and KDTree. Affects the time and memory usage of the constructed tree."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
526 <!--param name="metric"--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
527 <!--param name="p"--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
528 <!--param name="metric_params"--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
529 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
530 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
531 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
532 <xml name="svc_advanced_options"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
533 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
534 <yield/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
535 <param argument="kernel" type="select" optional="true" label="Kernel type" help="Kernel type to be used in the algorithm. If none is given, ‘rbf’ will be used."> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
536 <option value="rbf" selected="true">rbf</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
537 <option value="linear">linear</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
538 <option value="poly">poly</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
539 <option value="sigmoid">sigmoid</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
540 <option value="precomputed">precomputed</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
541 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
542 <param argument="degree" type="integer" optional="true" value="3" label="Degree of the polynomial (polynomial kernel only)" help="Ignored by other kernels. dafault : 3 "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
543 <!--TODO: param argument="gamma" float, optional (default=’auto’) --> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
544 <param argument="coef0" type="float" optional="true" value="0.0" label="Zero coefficient (polynomial and sigmoid kernels only)" |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
545 help="Independent term in kernel function. dafault: 0.0 "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
546 <param argument="shrinking" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="true" |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
547 label="Use the shrinking heuristic" help=" "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
548 <param argument="probability" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="false" |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
549 label="Enable probability estimates. " help="This must be enabled prior to calling fit, and will slow down that method."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
550 <!-- param argument="cache_size"--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
551 <!--expand macro="class_weight"/--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
552 <expand macro="tol" default_value="0.001" help_text="Tolerance for stopping criterion. "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
553 <expand macro="max_iter" default_value="-1" label="Solver maximum number of iterations" help_text="Hard limit on iterations within solver, or -1 for no limit."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
554 <!--param argument="decision_function_shape"--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
555 <expand macro="random_state" help_text="Integer number. The seed of the pseudo random number generator to use when shuffling the data for probability estimation. A fixed seed allows reproducible results."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
556 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
557 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
558 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
559 <xml name="spectral_clustering_advanced_options"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
560 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
561 <expand macro="n_clusters"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
562 <param argument="eigen_solver" type="select" value="" label="Eigen solver" help="The eigenvalue decomposition strategy to use."> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
563 <option value="arpack" selected="true">arpack</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
564 <option value="lobpcg">lobpcg</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
565 <option value="amg">amg</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
566 <!--None--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
567 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
568 <expand macro="random_state"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
569 <expand macro="n_init"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
570 <param argument="gamma" type="float" optional="true" value="1.0" label="Kernel scaling factor" help="Scaling factor of RBF, polynomial, exponential chi^2 and sigmoid affinity kernel. Ignored for affinity=''nearest_neighbors''."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
571 <param argument="affinity" type="select" label="Affinity" help="Affinity kernel to use. "> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
572 <option value="rbf" selected="true">RBF</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
573 <option value="precomputed">precomputed</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
574 <option value="nearest_neighbors">Nearset neighbors</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
575 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff
changeset
|
576 <param argument="n_neighbors" type="integer" optional="true" value="10" label="Number of neighbors" help="Number of neighbors to use when constructing the affinity matrix using the nearest neighbors method. Ignored for affinity=''rbf''"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
577 <!--param argument="eigen_tol"--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
578 <param argument="assign_labels" type="select" label="Assign labels" help="The strategy to use to assign labels in the embedding space."> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
579 <option value="kmeans" selected="true">kmeans</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
580 <option value="discretize">discretize</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
581 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
582 <param argument="degree" type="integer" optional="true" value="3" |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
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583 label="Degree of the polynomial (polynomial kernel only)" help="Ignored by other kernels. dafault : 3 "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
584 <param argument="coef0" type="integer" optional="true" value="1" |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff
changeset
|
585 label="Zero coefficient (polynomial and sigmoid kernels only)" help="Ignored by other kernels. dafault : 1 "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
586 <!--param argument="kernel_params"--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
587 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff
changeset
|
588 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
589 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff
changeset
|
590 <xml name="minibatch_kmeans_advanced_options"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
591 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff
changeset
|
592 <expand macro="n_clusters"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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changeset
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593 <expand macro="init"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
594 <expand macro="n_init" default_value="3"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff
changeset
|
595 <expand macro="max_iter" default_value="100"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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596 <expand macro="tol" help_text="Early stopping heuristics based on normalized center change. To disable set to 0.0 ."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff
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|
597 <expand macro="random_state"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff
changeset
|
598 <param argument="batch_size" type="integer" optional="true" value="100" label="Batch size" help="Size of the mini batches."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff
changeset
|
599 <!--param argument="compute_labels"--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
600 <param argument="max_no_improvement" type="integer" optional="true" value="10" label="Maximum number of improvement attempts" help=" |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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changeset
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601 Convergence detection based on inertia (the consecutive number of mini batches that doe not yield an improvement on the smoothed inertia). |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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602 To disable, set max_no_improvement to None. "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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603 <param argument="init_size" type="integer" optional="true" value="" label="Number of random initialization samples" help="Number of samples to randomly sample for speeding up the initialization . ( default: 3 * batch_size )"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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604 <param argument="reassignment_ratio" type="float" optional="true" value="0.01" label="Re-assignment ratio" help="Controls the fraction of the maximum number of counts for a center to be reassigned. Higher values yield better clustering results."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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changeset
|
605 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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changeset
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606 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
607 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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changeset
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608 <xml name="kmeans_advanced_options"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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changeset
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609 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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changeset
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610 <expand macro="n_clusters"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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changeset
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611 <expand macro="init"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff
changeset
|
612 <expand macro="n_init"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff
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|
613 <expand macro="max_iter"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff
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614 <expand macro="tol" default_value="0.0001" help_text="Relative tolerance with regards to inertia to declare convergence."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
615 <!--param argument="precompute_distances"/--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
616 <expand macro="random_state"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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617 <param argument="copy_x" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="true" label="Use a copy of data for precomputing distances" help="Mofifying the original data introduces small numerical differences caused by subtracting and then adding the data mean."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
618 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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changeset
|
619 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
620 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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changeset
|
621 <xml name="birch_advanced_options"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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changeset
|
622 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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623 <param argument="threshold" type="float" optional="true" value="0.5" label="Subcluster radius threshold" help="The radius of the subcluster obtained by merging a new sample; the closest subcluster should be less than the threshold to avoid a new subcluster."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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624 <param argument="branching_factor" type="integer" optional="true" value="50" label="Maximum number of subclusters per branch" help="Maximum number of CF subclusters in each node."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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|
625 <expand macro="n_clusters" default_value="3"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
626 <!--param argument="compute_labels"/--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
627 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
628 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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|
629 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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630 <xml name="dbscan_advanced_options"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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changeset
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631 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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632 <param argument="eps" type="float" optional="true" value="0.5" label="Maximum neighborhood distance" help="The maximum distance between two samples for them to be considered as in the same neighborhood."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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633 <param argument="min_samples" type="integer" optional="true" value="5" label="Minimal core point density" help="The number of samples (or total weight) in a neighborhood for a point (including the point itself) to be considered as a core point."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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634 <param argument="metric" type="text" optional="true" value="euclidean" label="Metric" help="The metric to use when calculating distance between instances in a feature array."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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635 <param argument="algorithm" type="select" label="Pointwise distance computation algorithm" help="The algorithm to be used by the NearestNeighbors module to compute pointwise distances and find nearest neighbors."> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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636 <option value="auto" selected="true">auto</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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637 <option value="ball_tree">ball_tree</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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changeset
|
638 <option value="kd_tree">kd_tree</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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changeset
|
639 <option value="brute">brute</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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changeset
|
640 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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641 <param argument="leaf_size" type="integer" optional="true" value="30" label="Leaf size" help="Leaf size passed to BallTree or cKDTree. Memory and time efficieny factor in tree constrution and querying."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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changeset
|
642 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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changeset
|
643 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff
changeset
|
644 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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changeset
|
645 <xml name="clustering_algorithms_options"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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|
646 <conditional name="algorithm_options"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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|
647 <param name="selected_algorithm" type="select" label="Clustering Algorithm"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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648 <option value="KMeans" selected="true">KMeans</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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649 <option value="SpectralClustering">Spectral Clustering</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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changeset
|
650 <option value="MiniBatchKMeans">Mini Batch KMeans</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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changeset
|
651 <option value="DBSCAN">DBSCAN</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff
changeset
|
652 <option value="Birch">Birch</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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changeset
|
653 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
654 <when value="KMeans"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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changeset
|
655 <expand macro="kmeans_advanced_options"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
656 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
657 <when value="DBSCAN"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
658 <expand macro="dbscan_advanced_options"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
659 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
660 <when value="Birch"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
661 <expand macro="birch_advanced_options"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
662 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
663 <when value="SpectralClustering"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
664 <expand macro="spectral_clustering_advanced_options"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
665 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
666 <when value="MiniBatchKMeans"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
667 <expand macro="minibatch_kmeans_advanced_options"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
668 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
669 </conditional> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
670 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
671 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
672 <xml name="distance_metrics"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
673 <param argument="metric" type="select" label="Distance metric" help=" "> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
674 <option value="euclidean" selected="true">euclidean</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
675 <option value="cityblock">cityblock</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
676 <option value="cosine">cosine</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
677 <option value="l1">l1</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
678 <option value="l2">l2</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
679 <option value="manhattan">manhattan</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
680 <yield/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
681 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
682 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
683 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
684 <xml name="distance_nonsparse_metrics"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
685 <option value="braycurtis">braycurtis</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
686 <option value="canberra">canberra</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
687 <option value="chebyshev">chebyshev</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
688 <option value="correlation">correlation</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
689 <option value="dice">dice</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
690 <option value="hamming">hamming</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
691 <option value="jaccard">jaccard</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
692 <option value="kulsinski">kulsinski</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
693 <option value="mahalanobis">mahalanobis</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
694 <option value="matching">matching</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
695 <option value="minkowski">minkowski</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
696 <option value="rogerstanimoto">rogerstanimoto</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
697 <option value="russellrao">russellrao</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
698 <option value="seuclidean">seuclidean</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
699 <option value="sokalmichener">sokalmichener</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
700 <option value="sokalsneath">sokalsneath</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
701 <option value="sqeuclidean">sqeuclidean</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
702 <option value="yule">yule</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
703 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
704 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
705 <xml name="pairwise_kernel_metrics"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
706 <param argument="metric" type="select" label="Pirwise Kernel metric" help=" "> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
707 <option value="rbf" selected="true">rbf</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
708 <option value="sigmoid">sigmoid</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
709 <option value="polynomial">polynomial</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
710 <option value="linear" selected="true">linear</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
711 <option value="chi2">chi2</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
712 <option value="additive_chi2">additive_chi2</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
713 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
714 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
715 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
716 <xml name="sparse_pairwise_metric_functions"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
717 <param name="selected_metric_function" type="select" label="Select the pairwise metric you want to compute:"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
718 <option value="euclidean_distances" selected="true">Euclidean distance matrix</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
719 <option value="pairwise_distances">Distance matrix</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
720 <option value="pairwise_distances_argmin">Minimum distances between one point and a set of points</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
721 <yield/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
722 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
723 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
724 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
725 <xml name="pairwise_metric_functions"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
726 <option value="additive_chi2_kernel" >Additive chi-squared kernel</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
727 <option value="chi2_kernel">Exponential chi-squared kernel</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
728 <option value="linear_kernel">Linear kernel</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
729 <option value="manhattan_distances">L1 distances</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
730 <option value="pairwise_kernels">Kernel</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
731 <option value="polynomial_kernel">Polynomial kernel</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
732 <option value="rbf_kernel">Gaussian (rbf) kernel</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
733 <option value="laplacian_kernel">Laplacian kernel</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
734 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
735 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
736 <xml name="sparse_pairwise_condition"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
737 <when value="pairwise_distances"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
738 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
739 <expand macro="distance_metrics"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
740 <yield/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
741 </expand> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
742 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
743 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
744 <when value="euclidean_distances"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
745 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
746 <param argument="squared" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="false" |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
747 label="Return squared Euclidean distances" help=" "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
748 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
749 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
750 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
751 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
752 <xml name="argmin_distance_condition"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
753 <when value="pairwise_distances_argmin"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
754 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
755 <param argument="axis" type="integer" optional="true" value="1" label="Axis" help="Axis along which the argmin and distances are to be computed."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
756 <expand macro="distance_metrics"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
757 <yield/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
758 </expand> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
759 <param argument="batch_size" type="integer" optional="true" value="500" label="Batch size" help="Number of rows to be processed in each batch run."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
760 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
761 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
762 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
763 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
764 <xml name="sparse_preprocessors"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
765 <param name="selected_pre_processor" type="select" label="Select a preprocessor:"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
766 <option value="StandardScaler" selected="true">Standard Scaler (Standardizes features by removing the mean and scaling to unit variance)</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
767 <option value="Binarizer">Binarizer (Binarizes data)</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
768 <option value="Imputer">Imputer (Completes missing values)</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
769 <option value="MaxAbsScaler">Max Abs Scaler (Scales features by their maximum absolute value)</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
770 <option value="Normalizer">Normalizer (Normalizes samples individually to unit norm)</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
771 <yield/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
772 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
773 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
774 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
775 <xml name="sparse_preprocessor_options"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
776 <when value="Binarizer"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
777 <expand macro="multitype_input" format="tabular,txt" help="Tabular and sparse datasets are supporetd."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
778 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
779 <param argument="copy" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="true" |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
780 label="Use a copy of data for precomputing binarization" help=" "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
781 <param argument="threshold" type="float" optional="true" value="0.0" |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
782 label="Threshold" |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
783 help="Feature values below or equal to this are replaced by 0, above it by 1. Threshold may not be less than 0 for operations on sparse matrices. "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
784 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
785 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
786 <when value="Imputer"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
787 <expand macro="multitype_input" format="tabular,txt" help="Tabular and sparse datasets are supporetd."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
788 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
789 <param argument="copy" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="true" |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
790 label="Use a copy of data for precomputing imputation" help=" "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
791 <param argument="strategy" type="select" optional="true" label="Imputation strategy" help=" "> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
792 <option value="mean" selected="true">Replace missing values using the mean along the axis</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
793 <option value="median">Replace missing values using the median along the axis</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
794 <option value="most_frequent">Replace missing using the most frequent value along the axis</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
795 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
796 <param argument="missing_values" type="text" optional="true" value="NaN" |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
797 label="Placeholder for missing values" help="For missing values encoded as numpy.nan, use the string value “NaN”"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
798 <param argument="axis" type="boolean" optional="true" truevalue="1" falsevalue="0" |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
799 label="Impute along axis = 1" help="If fasle, axis = 0 is selected for imputation. "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
800 <!--param argument="axis" type="select" optional="true" label="The axis along which to impute" help=" "> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
801 <option value="0" selected="true">Impute along columns</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
802 <option value="1">Impute along rows</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
803 </param--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
804 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
805 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
806 <when value="StandardScaler"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
807 <expand macro="multitype_input"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
808 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
809 <param argument="copy" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="true" |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
810 label="Use a copy of data for performing inplace scaling" help=" "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
811 <param argument="with_mean" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="true" |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
812 label="Center the data before scaling" help=" "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
813 <param argument="with_std" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="true" |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
814 label="Scale the data to unit variance (or unit standard deviation)" help=" "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
815 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
816 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
817 <when value="MaxAbsScaler"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
818 <expand macro="multitype_input" format="tabular,txt" help="Tabular and sparse datasets are supporetd."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
819 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
820 <param argument="copy" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="true" |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
821 label="Use a copy of data for precomputing scaling" help=" "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
822 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
823 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
824 <when value="Normalizer"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
825 <expand macro="multitype_input" format="tabular,txt" help="Tabular and sparse datasets are supporetd."/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
826 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
827 <param argument="norm" type="select" optional="true" label="The norm to use to normalize non zero samples" help=" "> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
828 <option value="l1" selected="true">l1</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
829 <option value="l2">l2</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
830 <option value="max">max</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
831 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
832 <param argument="copy" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="true" |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
833 label="Use a copy of data for precomputing row normalization" help=" "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
834 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
835 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
836 <yield/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
837 </xml> |
9
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
changeset
|
838 <xml name="estimator_input_no_fit"> |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
changeset
|
839 <expand macro="feature_selection_estimator" /> |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
changeset
|
840 <conditional name="extra_estimator"> |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
changeset
|
841 <expand macro="feature_selection_extra_estimator" /> |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
changeset
|
842 <expand macro="feature_selection_estimator_choices" /> |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
changeset
|
843 </conditional> |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
changeset
|
844 </xml> |
8
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
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parents:
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diff
changeset
|
845 <xml name="feature_selection_all"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
846 <conditional name="feature_selection_algorithms"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
847 <param name="selected_algorithm" type="select" label="Select a feature selection algorithm"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
848 <option value="SelectFromModel" selected="true">SelectFromModel - Meta-transformer for selecting features based on importance weights</option> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
849 <option value="GenericUnivariateSelect" selected="true">GenericUnivariateSelect - Univariate feature selector with configurable strategy</option> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
850 <option value="SelectPercentile">SelectPercentile - Select features according to a percentile of the highest scores</option> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
851 <option value="SelectKBest">SelectKBest - Select features according to the k highest scores</option> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
852 <option value="SelectFpr">SelectFpr - Filter: Select the p-values below alpha based on a FPR test</option> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
853 <option value="SelectFdr">SelectFdr - Filter: Select the p-values for an estimated false discovery rate</option> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
854 <option value="SelectFwe">SelectFwe - Filter: Select the p-values corresponding to Family-wise error rate</option> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
855 <option value="RFE">RFE - Feature ranking with recursive feature elimination</option> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
856 <option value="RFECV">RFECV - Feature ranking with recursive feature elimination and cross-validated selection of the best number of features</option> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
857 <option value="VarianceThreshold">VarianceThreshold - Feature selector that removes all low-variance features</option> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
858 <!--option value="chi2">Compute chi-squared stats between each non-negative feature and class</option--> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
859 <!--option value="f_classif">Compute the ANOVA F-value for the provided sample</option--> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
860 <!--option value="f_regression">Univariate linear regression tests</option--> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
861 <!--option value="mutual_info_classif">Estimate mutual information for a discrete target variable</option--> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
862 <!--option value="mutual_info_regression">Estimate mutual information for a continuous target variable</option--> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
863 </param> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
864 <when value="SelectFromModel"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
865 <expand macro="feature_selection_estimator" /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
866 <conditional name="extra_estimator"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
867 <expand macro="feature_selection_extra_estimator" > |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
868 <option value="no_load">No, I will load a prefitted estimator</option> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
869 </expand> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
870 <expand macro="feature_selection_estimator_choices" > |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
871 <when value="no_load"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
872 <param name="fitted_estimator" type="data" format='zip' label="Load a prefitted estimator" /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
873 </when> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
874 </expand> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
875 </conditional> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
876 <section name="options" title="Other Options" expanded="True"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
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parents:
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diff
changeset
|
877 <param argument="threshold" type="text" value="" optional="true" label="threshold" help="The threshold value to use for feature selection. e.g. 'mean', 'median', '1.25*mean'." /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
878 <param argument="norm_order" type="integer" value="1" label="norm_order" help="Order of the norm used to filter the vectors of coefficients below threshold in the case where the coef_ attribute of the estimator is of dimension 2. " /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
879 </section> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
880 </when> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
881 <when value="GenericUnivariateSelect"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
882 <expand macro="feature_selection_score_function" /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
883 <section name="options" title="Other Options" expanded="True"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
884 <param argument="mode" type="select" label="Feature selection mode"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
885 <option value="percentile">percentile</option> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
886 <option value="k_best">k_best</option> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
887 <option value="fpr">fpr</option> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
888 <option value="fdr">fdr</option> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
889 <option value="fwe">fwe</option> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
890 </param> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
891 <param argument="param" type="float" value="" optional="true" label="Parameter of the corresponding mode" help="float or int depending on the feature selection mode" /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
892 </section> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
893 </when> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
894 <when value="SelectPercentile"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
895 <expand macro="feature_selection_score_function" /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
896 <section name="options" title="Other Options" expanded="True"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
897 <param argument="percentile" type="integer" value="10" optional="True" label="Percent of features to keep" /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
898 </section> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
899 </when> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
900 <when value="SelectKBest"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
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diff
changeset
|
901 <expand macro="feature_selection_score_function" /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
902 <section name="options" title="Other Options" expanded="True"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
903 <param argument="k" type="integer" value="10" optional="True" label="Number of top features to select" help="No 'all' option is supported." /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
904 </section> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
905 </when> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
906 <when value="SelectFpr"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
907 <expand macro="feature_selection_score_function" /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
908 <section name="options" title="Other Options" expanded="True"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
909 <param argument="alpha" type="float" value="" optional="True" label="Alpha" help="The highest p-value for features to be kept."/> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
910 </section> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
911 </when> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
912 <when value="SelectFdr"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
913 <expand macro="feature_selection_score_function" /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
914 <section name="options" title="Other Options" expanded="True"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
915 <param argument="alpha" type="float" value="" optional="True" label="Alpha" help="The highest uncorrected p-value for features to keep."/> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
916 </section> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
917 </when> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
918 <when value="SelectFwe"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
919 <expand macro="feature_selection_score_function" /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
920 <section name="options" title="Other Options" expanded="True"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
921 <param argument="alpha" type="float" value="" optional="True" label="Alpha" help="The highest uncorrected p-value for features to keep."/> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
922 </section> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
923 </when> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
924 <when value="RFE"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
925 <expand macro="feature_selection_estimator" /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
926 <conditional name="extra_estimator"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
927 <expand macro="feature_selection_extra_estimator" /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
928 <expand macro="feature_selection_estimator_choices" /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
929 </conditional> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
930 <section name="options" title="Other Options" expanded="True"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
931 <param argument="n_features_to_select" type="integer" value="" optional="true" label="n_features_to_select" help="The number of features to select. If None, half of the features are selected." /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
932 <param argument="step" type="float" value="1" label="step" optional="true" help="Default = 1. " /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
933 <param argument="verbose" type="integer" value="0" label="verbose" help="Controls verbosity of output." /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
934 </section> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
935 </when> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
936 <when value="RFECV"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
937 <expand macro="feature_selection_estimator" /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
938 <conditional name="extra_estimator"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
939 <expand macro="feature_selection_extra_estimator" /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
940 <expand macro="feature_selection_estimator_choices" /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
941 </conditional> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
942 <section name="options" title="Other Options" expanded="True"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
943 <param argument="step" type="float" value="1" label="step" optional="true" help="Default = 1. " /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
944 <param argument="cv" type="integer" value="" optional="true" label="cv" help="Determines the cross-validation splitting strategy" /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
945 <param argument="scoring" type="text" value="" optional="true" label="scoring" help="A string (see model evaluation documentation) or a scorer callable object / function with signature scorer(estimator, X, y)."/> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
946 <param argument="verbose" type="integer" value="0" label="verbose" help="Controls verbosity of output." /> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
947 <param argument="n_jobs" type="integer" value="1" label="n_jobs" help="Number of cores to run in parallel while fitting across folds. Defaults to 1 core."/> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
948 </section> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
949 </when> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
950 <when value="VarianceThreshold"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
951 <section name="options" title="Options" expanded="True"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
952 <param argument="threshold" type="float" value="" optional="True" label="Threshold" help="Features with a training-set variance lower than this threshold will be removed."/> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
953 </section> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
954 </when> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
955 <!--when value="chi2"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
956 </when> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
957 <when value="f_classif"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
958 </when> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
959 <when value="f_regression"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
960 </when> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
961 <when value="mutual_info_classif"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
962 </when> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
963 <when value="mutual_info_regression"> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
964 </when--> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
965 </conditional> |
9a2ad992d048
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents:
7
diff
changeset
|
966 </xml> |
6
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
967 <xml name="feature_selection_score_function"> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
968 <param argument="score_func" type="select" label="Select a score function"> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
969 <option value="chi2">chi2 - Compute chi-squared stats between each non-negative feature and class</option> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
970 <option value="f_classif">f_classif - Compute the ANOVA F-value for the provided sample</option> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
971 <option value="f_regression">f_regression - Univariate linear regression tests</option> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
972 <option value="mutual_info_classif">mutual_info_classif - Estimate mutual information for a discrete target variable</option> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
973 <option value="mutual_info_regression">mutual_info_regression - Estimate mutual information for a continuous target variable</option> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
974 </param> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
975 </xml> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
976 <xml name="feature_selection_estimator"> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
977 <param argument="estimator" type="select" label="Select an estimator" help="The base estimator from which the transformer is built."> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
978 <option value="svm.SVR(kernel="linear")">svm.SVR(kernel="linear")</option> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
979 <option value="svm.SVC(kernel="linear")">svm.SVC(kernel="linear")</option> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
980 <option value="svm.LinearSVC(penalty="l1", dual=False, tol=1e-3)">svm.LinearSVC(penalty="l1", dual=False, tol=1e-3)</option> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
981 <option value="linear_model.LassoCV()">linear_model.LassoCV()</option> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
982 <option value="ensemble.RandomForestRegressor(n_estimators = 1000, random_state = 42)">ensemble.RandomForestRegressor(n_estimators = 1000, random_state = 42)</option> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
983 </param> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
984 </xml> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
985 <xml name="feature_selection_extra_estimator"> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
986 <param name="has_estimator" type="select" label="Does your estimator on the list above?"> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
987 <option value="yes">Yes, my estimator is on the list</option> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
988 <option value="no">No, I need make a new estimator</option> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
989 <yield/> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
990 </param> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
991 </xml> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
992 <xml name="feature_selection_estimator_choices"> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
993 <when value="yes"> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
994 </when> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
995 <when value="no"> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
996 <param name="new_estimator" type="text" value="" label="Make a new estimator" /> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
997 </when> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
998 <yield/> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
999 </xml> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
1000 <xml name="feature_selection_methods"> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
1001 <conditional name="select_methods"> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
1002 <param name="selected_method" type="select" label="Select an operation"> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
1003 <option value="fit_transform">fit_transform - Fit to data, then transform it</option> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
1004 <option value="get_support">get_support - Get a mask, or integer index, of the features selected</option> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
1005 </param> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
1006 <when value="fit_transform"> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
1007 <!--**fit_params--> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
1008 </when> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
1009 <when value="get_support"> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
1010 <param name="indices" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="false" label="Indices" help="If True, the return value will be an array of integers, rather than a boolean mask."/> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
1011 </when> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
1012 </conditional> |
ef0df429fec4
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
5
diff
changeset
|
1013 </xml> |
0
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1014 |
7
8a42afda5083
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
6
diff
changeset
|
1015 <xml name="model_validation_common_options"> |
8a42afda5083
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
6
diff
changeset
|
1016 <param argument="cv" type="integer" value="" optional="true" label="cv" help="The number of folds in a (Stratified)KFold" /> |
8a42afda5083
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
6
diff
changeset
|
1017 <expand macro="n_jobs"/> |
8a42afda5083
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
6
diff
changeset
|
1018 <expand macro="verbose"/> |
8a42afda5083
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
6
diff
changeset
|
1019 <yield/> |
8a42afda5083
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
6
diff
changeset
|
1020 </xml> |
8a42afda5083
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
6
diff
changeset
|
1021 |
8a42afda5083
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
6
diff
changeset
|
1022 <xml name="scoring"> |
8a42afda5083
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
6
diff
changeset
|
1023 <param argument="scoring" type="text" value="" optional="true" label="scoring" help="A metric used to evaluate the estimator"/> |
8a42afda5083
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
6
diff
changeset
|
1024 </xml> |
8a42afda5083
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
6
diff
changeset
|
1025 |
9
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
changeset
|
1026 <xml name="pre_dispatch" token_type="text" token_default_value="all" token_help="Number of predispatched jobs for parallel execution"> |
049c8e817869
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents:
8
diff
changeset
|
1027 <param argument="pre_dispatch" type="@TYPE@" value="@DEFAULT_VALUE@" optional="true" label="pre_dispatch" help="@HELP@"/> |
7
8a42afda5083
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
6
diff
changeset
|
1028 </xml> |
8a42afda5083
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
6
diff
changeset
|
1029 |
0
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1030 <!-- Outputs --> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1031 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1032 <xml name="output"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1033 <outputs> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1034 <data format="tabular" name="outfile_predict"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1035 <filter>selected_tasks['selected_task'] == 'load'</filter> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1036 </data> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1037 <data format="zip" name="outfile_fit"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1038 <filter>selected_tasks['selected_task'] == 'train'</filter> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1039 </data> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1040 </outputs> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1041 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1042 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1043 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1044 <!--Citations--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1045 <xml name="eden_citation"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1046 <citations> |
3
bf0ea4cece8b
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 99231ce3ef238975a6614926f2fa6326b9454ee8
bgruening
parents:
2
diff
changeset
|
1047 <citation type="doi">10.5281/zenodo.15094</citation> |
0
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1048 </citations> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1049 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1050 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1051 <xml name="sklearn_citation"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1052 <citations> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1053 <citation type="bibtex"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1054 @article{scikit-learn, |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1055 title={Scikit-learn: Machine Learning in {P}ython}, |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1056 author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V. |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1057 and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P. |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1058 and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1059 Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.}, |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1060 journal={Journal of Machine Learning Research}, |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1061 volume={12}, |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1062 pages={2825--2830}, |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1063 year={2011} |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff
changeset
|
1064 url = {https://github.com/scikit-learn/scikit-learn} |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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1065 } |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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1066 </citation> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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1067 </citations> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
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1068 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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1069 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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1070 <xml name="scipy_citation"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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1071 <citations> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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1072 <citation type="bibtex"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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changeset
|
1073 @Misc{, |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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1074 author = {Eric Jones and Travis Oliphant and Pearu Peterson and others}, |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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1075 title = {{SciPy}: Open source scientific tools for {Python}}, |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
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1076 year = {2001--}, |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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1077 url = "http://www.scipy.org/", |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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1078 note = {[Online; accessed 2016-04-09]} |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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1079 } |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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1080 </citation> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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1081 </citations> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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1082 </xml> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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1083 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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1084 </macros> |