Mercurial > repos > bgruening > sklearn_searchcv
annotate fitted_model_eval.py @ 22:f0d2e8a3c575 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit d970dae980fbe349414fc0889f719d875d999c5b"
author | bgruening |
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date | Fri, 27 Aug 2021 10:12:49 +0000 |
parents | a36a45cb96fa |
children | fc99237f3392 |
rev | line source |
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13
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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1 import argparse |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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2 import json |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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3 import warnings |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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4 |
20
586e68c83df2
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 208a8d348e7c7a182cfbe1b6f17868146428a7e2"
bgruening
parents:
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5 import pandas as pd |
586e68c83df2
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 208a8d348e7c7a182cfbe1b6f17868146428a7e2"
bgruening
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6 from galaxy_ml.utils import get_scoring, load_model, read_columns |
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3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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7 from scipy.io import mmread |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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8 from sklearn.metrics.scorer import _check_multimetric_scoring |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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9 from sklearn.model_selection._validation import _score |
20
586e68c83df2
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 208a8d348e7c7a182cfbe1b6f17868146428a7e2"
bgruening
parents:
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10 from sklearn.pipeline import Pipeline |
13
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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11 |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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12 |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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13 def _get_X_y(params, infile1, infile2): |
19
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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14 """read from inputs and output X and y |
13
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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15 |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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16 Parameters |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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17 ---------- |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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18 params : dict |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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19 Tool inputs parameter |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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20 infile1 : str |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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21 File path to dataset containing features |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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22 infile2 : str |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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23 File path to dataset containing target values |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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24 |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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25 """ |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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26 # store read dataframe object |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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27 loaded_df = {} |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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28 |
19
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents:
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29 input_type = params["input_options"]["selected_input"] |
13
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
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30 # tabular input |
19
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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31 if input_type == "tabular": |
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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32 header = "infer" if params["input_options"]["header1"] else None |
21
a36a45cb96fa
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
bgruening
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33 column_option = params["input_options"]["column_selector_options_1"][ |
a36a45cb96fa
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
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34 "selected_column_selector_option" |
a36a45cb96fa
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
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35 ] |
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cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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36 if column_option in [ |
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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37 "by_index_number", |
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents:
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38 "all_but_by_index_number", |
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents:
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39 "by_header_name", |
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents:
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40 "all_but_by_header_name", |
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
parents:
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41 ]: |
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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42 c = params["input_options"]["column_selector_options_1"]["col1"] |
13
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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43 else: |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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44 c = None |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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45 |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
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46 df_key = infile1 + repr(header) |
19
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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47 df = pd.read_csv(infile1, sep="\t", header=header, parse_dates=True) |
13
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
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48 loaded_df[df_key] = df |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
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49 |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
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50 X = read_columns(df, c=c, c_option=column_option).astype(float) |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
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51 # sparse input |
19
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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52 elif input_type == "sparse": |
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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53 X = mmread(open(infile1, "r")) |
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3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
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54 |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
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55 # Get target y |
19
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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56 header = "infer" if params["input_options"]["header2"] else None |
21
a36a45cb96fa
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
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57 column_option = params["input_options"]["column_selector_options_2"][ |
a36a45cb96fa
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
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58 "selected_column_selector_option2" |
a36a45cb96fa
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
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59 ] |
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cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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60 if column_option in [ |
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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61 "by_index_number", |
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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62 "all_but_by_index_number", |
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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63 "by_header_name", |
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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64 "all_but_by_header_name", |
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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65 ]: |
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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66 c = params["input_options"]["column_selector_options_2"]["col2"] |
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3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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67 else: |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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68 c = None |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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69 |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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70 df_key = infile2 + repr(header) |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
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71 if df_key in loaded_df: |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
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72 infile2 = loaded_df[df_key] |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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73 else: |
19
cb5635e30842
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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74 infile2 = pd.read_csv(infile2, sep="\t", header=header, parse_dates=True) |
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3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
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75 loaded_df[df_key] = infile2 |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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76 |
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a36a45cb96fa
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
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77 y = read_columns( |
a36a45cb96fa
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
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78 infile2, c=c, c_option=column_option, sep="\t", header=header, parse_dates=True |
a36a45cb96fa
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
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79 ) |
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3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
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80 if len(y.shape) == 2 and y.shape[1] == 1: |
3d5b2491c62b
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81 y = y.ravel() |
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82 |
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83 return X, y |
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84 |
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85 |
19
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86 def main( |
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87 inputs, |
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88 infile_estimator, |
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89 outfile_eval, |
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90 infile_weights=None, |
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91 infile1=None, |
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92 infile2=None, |
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93 ): |
13
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94 """ |
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95 Parameter |
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96 --------- |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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97 inputs : str |
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98 File path to galaxy tool parameter |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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99 |
3d5b2491c62b
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100 infile_estimator : strgit |
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101 File path to trained estimator input |
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102 |
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103 outfile_eval : str |
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104 File path to save the evalulation results, tabular |
3d5b2491c62b
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105 |
3d5b2491c62b
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106 infile_weights : str |
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107 File path to weights input |
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108 |
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109 infile1 : str |
3d5b2491c62b
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110 File path to dataset containing features |
3d5b2491c62b
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111 |
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112 infile2 : str |
3d5b2491c62b
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113 File path to dataset containing target values |
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114 """ |
19
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115 warnings.filterwarnings("ignore") |
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116 |
19
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117 with open(inputs, "r") as param_handler: |
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118 params = json.load(param_handler) |
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119 |
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120 X_test, y_test = _get_X_y(params, infile1, infile2) |
3d5b2491c62b
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121 |
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122 # load model |
19
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123 with open(infile_estimator, "rb") as est_handler: |
13
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124 estimator = load_model(est_handler) |
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125 |
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126 main_est = estimator |
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127 if isinstance(estimator, Pipeline): |
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128 main_est = estimator.steps[-1][-1] |
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129 if hasattr(main_est, "config") and hasattr(main_est, "load_weights"): |
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130 if not infile_weights or infile_weights == "None": |
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131 raise ValueError( |
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132 "The selected model skeleton asks for weights, " |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
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133 "but no dataset for weights was provided!" |
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134 ) |
13
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135 main_est.load_weights(infile_weights) |
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136 |
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137 # handle scorer, convert to scorer dict |
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138 # Check if scoring is specified |
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139 scoring = params["scoring"] |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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140 if scoring is not None: |
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141 # get_scoring() expects secondary_scoring to be a comma separated string (not a list) |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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142 # Check if secondary_scoring is specified |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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143 secondary_scoring = scoring.get("secondary_scoring", None) |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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144 if secondary_scoring is not None: |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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145 # If secondary_scoring is specified, convert the list into comman separated string |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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146 scoring["secondary_scoring"] = ",".join(scoring["secondary_scoring"]) |
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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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147 |
13
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148 scorer = get_scoring(scoring) |
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149 scorer, _ = _check_multimetric_scoring(estimator, scoring=scorer) |
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150 |
19
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151 if hasattr(estimator, "evaluate"): |
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152 scores = estimator.evaluate( |
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153 X_test, y_test=y_test, scorer=scorer, is_multimetric=True |
a36a45cb96fa
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154 ) |
13
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155 else: |
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156 scores = _score(estimator, X_test, y_test, scorer, is_multimetric=True) |
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157 |
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158 # handle output |
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159 for name, score in scores.items(): |
3d5b2491c62b
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160 scores[name] = [score] |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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161 df = pd.DataFrame(scores) |
3d5b2491c62b
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
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162 df = df[sorted(df.columns)] |
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163 df.to_csv(path_or_buf=outfile_eval, sep="\t", header=True, index=False) |
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164 |
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165 |
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166 if __name__ == "__main__": |
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167 aparser = argparse.ArgumentParser() |
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168 aparser.add_argument("-i", "--inputs", dest="inputs", required=True) |
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169 aparser.add_argument("-e", "--infile_estimator", dest="infile_estimator") |
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170 aparser.add_argument("-w", "--infile_weights", dest="infile_weights") |
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171 aparser.add_argument("-X", "--infile1", dest="infile1") |
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172 aparser.add_argument("-y", "--infile2", dest="infile2") |
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173 aparser.add_argument("-O", "--outfile_eval", dest="outfile_eval") |
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174 args = aparser.parse_args() |
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175 |
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176 main( |
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177 args.inputs, |
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178 args.infile_estimator, |
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179 args.outfile_eval, |
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180 infile_weights=args.infile_weights, |
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181 infile1=args.infile1, |
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182 infile2=args.infile2, |
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183 ) |