annotate main_macros.xml @ 18:21fdd6cdb88f draft

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit b1e5fa3170484d2cc3396f2abe99bb8cfcfa9c65
author bgruening
date Tue, 07 Aug 2018 05:48:10 -0400
parents 0b57ef8831fb
children 98b632c407ae
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0
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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1 <macros>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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2 <token name="@VERSION@">0.9</token>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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3
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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4 <token name="@COLUMNS_FUNCTION@">
10
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
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5 def read_columns(f, c=None, c_option='by_index_number', return_df=False, **args):
2
ced3798964bf planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 641ac64ded23fbb6fe85d5f13926da12dcce4e76
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6 data = pandas.read_csv(f, **args)
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7 if c_option == 'by_index_number':
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
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8 cols = list(map(lambda x: x - 1, c))
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
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9 data = data.iloc[:,cols]
11
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10 if c_option == 'all_but_by_index_number':
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11 cols = list(map(lambda x: x - 1, c))
1d2bcebc8678 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 64158f357e708f0b60d2669d92d614f7aee34c0e
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12 data.drop(data.columns[cols], axis=1, inplace=True)
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cb14b6827f70 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit cd4a8b019168acd5a513c57a1b1f380622f230f6
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13 if c_option == 'by_header_name':
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14 cols = [e.strip() for e in c.split(',')]
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15 data = data[cols]
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16 if c_option == 'all_but_by_header_name':
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17 cols = [e.strip() for e in c.split(',')]
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18 data.drop(cols, axis=1, inplace=True)
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19 y = data.values
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20 if return_df:
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21 return y, data
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22 else:
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23 return y
0
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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24 return y
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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25 </token>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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26
9
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27 ## generate an instance for one of sklearn.feature_selection classes
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28 <token name="@FEATURE_SELECTOR_FUNCTION@">
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29 def feature_selector(inputs):
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30 selector = inputs["selected_algorithm"]
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31 selector = getattr(sklearn.feature_selection, selector)
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32 options = inputs["options"]
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33
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34 if inputs['selected_algorithm'] == 'SelectFromModel':
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35 if not options['threshold'] or options['threshold'] == 'None':
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36 options['threshold'] = None
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37 if inputs['model_inputter']['input_mode'] == 'prefitted':
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
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38 model_file = inputs['model_inputter']['fitted_estimator']
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
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39 with open(model_file, 'rb') as model_handler:
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
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40 fitted_estimator = pickle.load(model_handler)
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
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41 new_selector = selector(fitted_estimator, prefit=True, **options)
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
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42 else:
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
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43 estimator_json = inputs['model_inputter']["estimator_selector"]
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
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44 estimator = get_estimator(estimator_json)
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
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45 new_selector = selector(estimator, **options)
9
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46
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47 elif inputs['selected_algorithm'] in ['RFE', 'RFECV']:
1b2b2d304e44 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
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48 if 'scoring' in options and (not options['scoring'] or options['scoring'] == 'None'):
1b2b2d304e44 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
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49 options['scoring'] = None
16
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50 estimator=get_estimator(inputs["estimator_selector"])
9
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51 new_selector = selector(estimator, **options)
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52
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53 elif inputs['selected_algorithm'] == "VarianceThreshold":
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54 new_selector = selector(**options)
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55
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56 else:
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57 score_func = inputs["score_func"]
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58 score_func = getattr(sklearn.feature_selection, score_func)
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59 new_selector = selector(score_func, **options)
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60
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61 return new_selector
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62 </token>
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63
13
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64 <token name="@GET_X_y_FUNCTION@">
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65 def get_X_y(params, file1, file2):
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66 input_type = params["selected_tasks"]["selected_algorithms"]["input_options"]["selected_input"]
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67 if input_type=="tabular":
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68 header = 'infer' if params["selected_tasks"]["selected_algorithms"]["input_options"]["header1"] else None
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69 column_option = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_1"]["selected_column_selector_option"]
f46da2feb233 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5d71c93a3dd804b1469852240a86021ab9130364
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70 if column_option in ["by_index_number", "all_but_by_index_number", "by_header_name", "all_but_by_header_name"]:
f46da2feb233 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5d71c93a3dd804b1469852240a86021ab9130364
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71 c = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_1"]["col1"]
f46da2feb233 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5d71c93a3dd804b1469852240a86021ab9130364
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72 else:
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73 c = None
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74 X = read_columns(
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75 file1,
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76 c = c,
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77 c_option = column_option,
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78 sep='\t',
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79 header=header,
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80 parse_dates=True
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81 )
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82 else:
15
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83 X = mmread(file1)
13
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84
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85 header = 'infer' if params["selected_tasks"]["selected_algorithms"]["input_options"]["header2"] else None
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86 column_option = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_2"]["selected_column_selector_option2"]
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87 if column_option in ["by_index_number", "all_but_by_index_number", "by_header_name", "all_but_by_header_name"]:
f46da2feb233 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5d71c93a3dd804b1469852240a86021ab9130364
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88 c = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_2"]["col2"]
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89 else:
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90 c = None
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91 y = read_columns(
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92 file2,
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93 c = c,
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94 c_option = column_option,
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95 sep='\t',
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96 header=header,
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97 parse_dates=True
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98 )
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99 y=y.ravel()
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100 return X, y
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101 </token>
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102
18
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103 <token name="@SAFE_EVAL_FUNCTION@">
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104 def safe_eval(literal):
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105
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106 FROM_SCIPY_STATS = [ 'bernoulli', 'binom', 'boltzmann', 'dlaplace', 'geom', 'hypergeom',
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107 'logser', 'nbinom', 'planck', 'poisson', 'randint', 'skellam', 'zipf' ]
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108
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109 FROM_NUMPY_RANDOM = [ 'beta', 'binomial', 'bytes', 'chisquare', 'choice', 'dirichlet', 'division',
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110 'exponential', 'f', 'gamma', 'geometric', 'gumbel', 'hypergeometric',
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111 'laplace', 'logistic', 'lognormal', 'logseries', 'mtrand', 'multinomial',
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112 'multivariate_normal', 'negative_binomial', 'noncentral_chisquare', 'noncentral_f',
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113 'normal', 'pareto', 'permutation', 'poisson', 'power', 'rand', 'randint',
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114 'randn', 'random', 'random_integers', 'random_sample', 'ranf', 'rayleigh',
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115 'sample', 'seed', 'set_state', 'shuffle', 'standard_cauchy', 'standard_exponential',
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116 'standard_gamma', 'standard_normal', 'standard_t', 'triangular', 'uniform',
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117 'vonmises', 'wald', 'weibull', 'zipf' ]
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118
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119 # File opening and other unneeded functions could be dropped
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120 UNWANTED = ['open', 'type', 'dir', 'id', 'str', 'repr']
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121
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122 # Allowed symbol table. Add more if needed.
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123 new_syms = {
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124 'np_arange': getattr(np, 'arange'),
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125 'ensemble_ExtraTreesClassifier': getattr(ensemble, 'ExtraTreesClassifier')
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126 }
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127
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128 syms = make_symbol_table(use_numpy=False, **new_syms)
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129
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130 for method in FROM_SCIPY_STATS:
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131 syms['scipy_stats_' + method] = getattr(scipy.stats, method)
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132
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133 for func in FROM_NUMPY_RANDOM:
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134 syms['np_random_' + func] = getattr(np.random, func)
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135
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136 for key in UNWANTED:
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137 syms.pop(key, None)
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138
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139 aeval = Interpreter(symtable=syms, use_numpy=False, minimal=False,
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140 no_if=True, no_for=True, no_while=True, no_try=True,
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141 no_functiondef=True, no_ifexp=True, no_listcomp=False,
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142 no_augassign=False, no_assert=True, no_delete=True,
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143 no_raise=True, no_print=True)
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144
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145 return aeval(literal)
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146 </token>
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147
16
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148 <token name="@GET_SEARCH_PARAMS_FUNCTION@">
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149 def get_search_params(params_builder):
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150 search_params = {}
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151
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152 for p in params_builder['param_set']:
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153 search_p = p['search_param_selector']['search_p']
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154 if search_p.strip() == '':
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155 continue
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156 param_type = p['search_param_selector']['selected_param_type']
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157
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158 lst = search_p.split(":")
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159 assert (len(lst) == 2), "Error, make sure there is one and only one colon in search parameter input."
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160 literal = lst[1].strip()
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161 ev = safe_eval(literal)
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162 if param_type == "final_estimator_p":
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163 search_params["estimator__" + lst[0].strip()] = ev
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164 else:
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165 search_params["preprocessing_" + param_type[5:6] + "__" + lst[0].strip()] = ev
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166
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167 return search_params
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168 </token>
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169
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170 <token name="@GET_ESTIMATOR_FUNCTION@">
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171 def get_estimator(estimator_json):
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172 estimator_module = estimator_json['selected_module']
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173 estimator_cls = estimator_json['selected_estimator']
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174
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175 if estimator_module == "xgboost":
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176 cls = getattr(xgboost, estimator_cls)
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177 else:
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178 module = getattr(sklearn, estimator_module)
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179 cls = getattr(module, estimator_cls)
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180
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181 estimator = cls()
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182
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183 estimator_params = estimator_json['text_params'].strip()
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184 if estimator_params != "":
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185 try:
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186 params = ast.literal_eval('{' + estimator_params + '}')
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187 except ValueError:
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188 sys.exit("Unsupported parameter input: `%s`" %estimator_params)
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189 estimator.set_params(**params)
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190
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191 return estimator
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192 </token>
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193
18
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194 <token name="@GET_CV_FUNCTION@">
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195 def get_cv(literal):
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196 if literal == "":
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197 return None
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198 if re.match(r'^\d+$', literal):
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199 return int(literal)
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200 m = re.match(r'^(?P&lt;method&gt;\w+)\((?P&lt;args&gt;.*)\)$', literal)
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201 if m:
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202 my_class = getattr( model_selection, m.group('method') )
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203 args = safe_eval( 'dict('+ m.group('args') + ')' )
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204 return my_class( **args )
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205 sys.exit("Unsupported CV input: %s" %literal)
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206 </token>
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207
0
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208 <xml name="python_requirements">
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209 <requirements>
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210 <requirement type="package" version="2.7">python</requirement>
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211 <requirement type="package" version="0.19.1">scikit-learn</requirement>
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212 <requirement type="package" version="0.22.0">pandas</requirement>
16
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213 <requirement type="package" version="0.72.1">xgboost</requirement>
0
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214 <yield />
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215 </requirements>
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216 </xml>
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217
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218 <xml name="macro_stdio">
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219 <stdio>
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220 <exit_code range="1:" level="fatal" description="Error occurred. Please check Tool Standard Error"/>
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221 </stdio>
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222 </xml>
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223
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224
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225 <!--Generic interface-->
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226
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227 <xml name="sl_Conditional" token_train="tabular" token_data="tabular" token_model="txt">
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228 <conditional name="selected_tasks">
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229 <param name="selected_task" type="select" label="Select a Classification Task">
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230 <option value="train" selected="true">Train a model</option>
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231 <option value="load">Load a model and predict</option>
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232 </param>
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233 <when value="load">
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234 <param name="infile_model" type="data" format="@MODEL@" label="Models" help="Select a model file."/>
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235 <param name="infile_data" type="data" format="@DATA@" label="Data (tabular)" help="Select the dataset you want to classify."/>
5
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236 <param name="header" type="boolean" optional="True" truevalue="booltrue" falsevalue="boolfalse" checked="False" label="Does the dataset contain header:" />
0
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237 <conditional name="prediction_options">
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238 <param name="prediction_option" type="select" label="Select the type of prediction">
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239 <option value="predict">Predict class labels</option>
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240 <option value="advanced">Include advanced options</option>
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241 </param>
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242 <when value="predict">
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243 </when>
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244 <when value="advanced">
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245 </when>
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246 </conditional>
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247 </when>
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248 <when value="train">
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249 <conditional name="selected_algorithms">
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250 <yield />
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251 </conditional>
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252 </when>
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253 </conditional>
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254 </xml>
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255
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256 <xml name="advanced_section">
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257 <section name="options" title="Advanced Options" expanded="False">
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258 <yield />
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259 </section>
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260 </xml>
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261
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262
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263 <!--Generalized Linear Models-->
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264 <xml name="loss" token_help=" " token_select="false">
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265 <param argument="loss" type="select" label="Loss function" help="@HELP@">
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266 <option value="squared_loss" selected="@SELECT@">squared loss</option>
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267 <option value="huber">huber</option>
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268 <option value="epsilon_insensitive">epsilon insensitive</option>
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269 <option value="squared_epsilon_insensitive">squared epsilon insensitive</option>
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270 <yield/>
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271 </param>
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272 </xml>
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273
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274 <xml name="penalty" token_help=" ">
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275 <param argument="penalty" type="select" label="Penalty (regularization term)" help="@HELP@">
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276 <option value="l2" selected="true">l2</option>
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277 <option value="l1">l1</option>
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278 <option value="elasticnet">elastic net</option>
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279 <option value="none">none</option>
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280 <yield/>
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281 </param>
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282 </xml>
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283
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284 <xml name="l1_ratio" token_default_value="0.15" token_help=" ">
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285 <param argument="l1_ratio" type="float" value="@DEFAULT_VALUE@" label="Elastic Net mixing parameter" help="@HELP@"/>
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286 </xml>
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287
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288 <xml name="epsilon" token_default_value="0.1" token_help="Used if loss is ‘huber’, ‘epsilon_insensitive’, or ‘squared_epsilon_insensitive’. ">
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289 <param argument="epsilon" type="float" value="@DEFAULT_VALUE@" label="Epsilon (epsilon-sensitive loss functions only)" help="@HELP@"/>
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290 </xml>
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291
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292 <xml name="learning_rate_s" token_help=" " token_selected1="false" token_selected2="false">
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293 <param argument="learning_rate" type="select" optional="true" label="Learning rate schedule" help="@HELP@">
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294 <option value="optimal" selected="@SELECTED1@">optimal</option>
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295 <option value="constant">constant</option>
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296 <option value="invscaling" selected="@SELECTED2@">inverse scaling</option>
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297 <yield/>
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298 </param>
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299 </xml>
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300
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301 <xml name="eta0" token_default_value="0.0" token_help="Used with ‘constant’ or ‘invscaling’ schedules. ">
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302 <param argument="eta0" type="float" value="@DEFAULT_VALUE@" label="Initial learning rate" help="@HELP@"/>
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303 </xml>
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304
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305 <xml name="power_t" token_default_value="0.5" token_help=" ">
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306 <param argument="power_t" type="float" value="@DEFAULT_VALUE@" label="Exponent for inverse scaling learning rate" help="@HELP@"/>
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307 </xml>
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308
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309 <xml name="normalize" token_checked="false" token_help=" ">
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310 <param argument="normalize" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="@CHECKED@" label="Normalize samples before training" help=" "/>
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311 </xml>
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312
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313 <xml name="copy_X" token_checked="true" token_help=" ">
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314 <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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315 </xml>
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316
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317 <xml name="ridge_params">
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318 <expand macro="normalize"/>
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319 <expand macro="alpha" default_value="1.0"/>
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320 <expand macro="fit_intercept"/>
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321 <expand macro="max_iter" default_value=""/>
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322 <expand macro="tol" default_value="0.001" help_text="Precision of the solution. "/>
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323 <!--class_weight-->
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324 <expand macro="copy_X"/>
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325 <param argument="solver" type="select" value="" label="Solver to use in the computational routines" help=" ">
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326 <option value="auto" selected="true">auto</option>
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327 <option value="svd">svd</option>
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328 <option value="cholesky">cholesky</option>
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329 <option value="lsqr">lsqr</option>
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330 <option value="sparse_cg">sparse_cg</option>
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331 <option value="sag">sag</option>
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332 </param>
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333 <expand macro="random_state"/>
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334 </xml>
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335
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336 <!--Ensemble methods-->
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337 <xml name="n_estimators" token_default_value="10" token_help=" ">
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338 <param argument="n_estimators" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Number of trees in the forest" help="@HELP@"/>
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339 </xml>
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340
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341 <xml name="max_depth" token_default_value="" token_help=" ">
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342 <param argument="max_depth" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Maximum depth of the tree" help="@HELP@"/>
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343 </xml>
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344
5
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345 <xml name="min_samples_split" token_type="integer" token_default_value="2" token_help=" ">
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346 <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@"/>
0
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347 </xml>
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348
5
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349 <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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350 <param argument="min_samples_leaf" type="@TYPE@" optional="true" value="@DEFAULT_VALUE@" label="@LABEL@" help="@HELP@"/>
0
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351 </xml>
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352
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353 <xml name="min_weight_fraction_leaf" token_default_value="0.0" token_help=" ">
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354 <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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355 </xml>
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356
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357 <xml name="max_leaf_nodes" token_default_value="" token_help=" ">
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358 <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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359 </xml>
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360
5
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361 <xml name="min_impurity_decrease" token_default_value="0" token_help=" ">
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362 <param argument="min_impurity_decrease" type="float" value="@DEFAULT_VALUE@" optional="true" label="The threshold value of impurity for stopping node splitting" help="@HELP@"/>
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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diff changeset
363 </xml>
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364
0
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diff changeset
365 <xml name="bootstrap" token_checked="true" token_help=" ">
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366 <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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diff changeset
367 </xml>
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diff changeset
368
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diff changeset
369 <xml name="criterion" token_help=" ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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370 <param argument="criterion" type="select" label="Function to measure the quality of a split" help=" ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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371 <option value="gini" selected="true">Gini impurity</option>
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372 <option value="entropy">Information gain</option>
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diff changeset
373 <yield/>
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374 </param>
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diff changeset
375 </xml>
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376
5
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377 <xml name="criterion2" token_help="">
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378 <param argument="criterion" type="select" label="Function to measure the quality of a split" >
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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379 <option value="mse">mse - mean squared error</option>
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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380 <option value="mae">mae - mean absolute error</option>
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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381 <yield/>
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382 </param>
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383 </xml>
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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384
0
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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385 <xml name="oob_score" token_checked="false" token_help=" ">
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386 <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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diff changeset
387 </xml>
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388
5
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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389 <xml name="max_features">
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390 <conditional name="select_max_features">
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391 <param argument="max_features" type="select" label="max_features">
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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392 <option value="auto" selected="true">auto - max_features=n_features</option>
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393 <option value="sqrt">sqrt - max_features=sqrt(n_features)</option>
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394 <option value="log2">log2 - max_features=log2(n_features)</option>
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395 <option value="number_input">I want to type the number in or input None type</option>
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396 </param>
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397 <when value="auto">
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398 </when>
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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399 <when value="sqrt">
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400 </when>
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401 <when value="log2">
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402 </when>
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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403 <when value="number_input">
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404 <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."/>
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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405 </when>
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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diff changeset
406 </conditional>
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407 </xml>
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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diff changeset
408
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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409 <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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410 <param argument="verbose" type="integer" value="@DEFAULT_VALUE@" optional="true" label="Enable verbose output" help="@HELP@"/>
0
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411 </xml>
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diff changeset
412
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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413 <xml name="learning_rate" token_default_value="1.0" token_help=" ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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414 <param argument="learning_rate" type="float" optional="true" value="@DEFAULT_VALUE@" label="Learning rate" help="@HELP@"/>
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diff changeset
415 </xml>
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diff changeset
416
5
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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diff changeset
417 <xml name="subsample" token_help=" ">
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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418 <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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419 </xml>
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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diff changeset
420
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diff changeset
421 <xml name="presort">
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422 <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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423 <option value="auto" selected="true">auto</option>
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424 <option value="true">true</option>
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425 <option value="false">false</option>
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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diff changeset
426 </param>
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427 </xml>
0
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428
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429 <!--Parameters-->
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430 <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.">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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431 <param argument="tol" type="float" optional="true" value="@DEFAULT_VALUE@" label="Tolerance" help="@HELP_TEXT@"/>
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432 </xml>
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433
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434 <xml name="n_clusters" token_default_value="8">
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435 <param argument="n_clusters" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Number of clusters" help=" "/>
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436 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
437
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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438 <xml name="fit_intercept" token_checked="true">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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439 <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."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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440 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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441
5
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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442 <xml name="n_jobs" token_default_value="1" token_label="The number of jobs to run in parallel for both fit and predict">
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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443 <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"/>
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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diff changeset
444 </xml>
8e489f4ff47c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 35fa73d6e9ba8f0789ddfb743d893d950a68af02
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445
0
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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446 <xml name="n_iter" token_default_value="5" token_help_text="The number of passes over the training data (aka epochs). ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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447 <param argument="n_iter" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Number of iterations" help="@HELP_TEXT@"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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448 </xml>
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449
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450 <xml name="shuffle" token_checked="true" token_help_text=" " token_label="Shuffle data after each iteration">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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451 <param argument="shuffle" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="@CHECKED@" label="@LABEL@" help="@HELP_TEXT@"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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452 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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453
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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454 <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.">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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455 <param argument="random_state" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Random seed number" help="@HELP_TEXT@"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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456 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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457
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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458 <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.">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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459 <param argument="warm_start" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="@CHECKED@" label="Perform warm start" help="@HELP_TEXT@"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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460 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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461
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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462 <xml name="C" token_default_value="1.0" token_help_text="Penalty parameter C of the error term.">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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463 <param argument="C" type="float" optional="true" value="@DEFAULT_VALUE@" label="Penalty parameter" help="@HELP_TEXT@"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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464 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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465
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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466 <!--xml name="class_weight" token_default_value="" token_help_text="">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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467 <param argument="class_weight" type="" optional="true" value="@DEFAULT_VALUE@" label="" help="@HELP_TEXT@"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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468 </xml-->
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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469
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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470 <xml name="alpha" token_default_value="0.0001" token_help_text="Constant that multiplies the regularization term if regularization is used. ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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471 <param argument="alpha" type="float" optional="true" value="@DEFAULT_VALUE@" label="Regularization coefficient" help="@HELP_TEXT@"/>
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472 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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473
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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474 <xml name="n_samples" token_default_value="100" token_help_text="The total number of points equally divided among clusters.">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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475 <param argument="n_samples" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Number of samples" help="@HELP_TEXT@"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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476 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
477
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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478 <xml name="n_features" token_default_value="2" token_help_text="Number of different numerical properties produced for each sample.">
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479 <param argument="n_features" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Number of features" help="@HELP_TEXT@"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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480 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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481
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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482 <xml name="noise" token_default_value="0.0" token_help_text="Floating point number. ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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483 <param argument="noise" type="float" optional="true" value="@DEFAULT_VALUE@" label="Standard deviation of the Gaussian noise added to the data" help="@HELP_TEXT@"/>
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484 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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485
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
486 <xml name="C" token_default_value="1.0" token_help_text="Penalty parameter C of the error term. ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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487 <param argument="C" type="float" optional="true" value="@DEFAULT_VALUE@" label="Penalty parameter" help="@HELP_TEXT@"/>
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488 </xml>
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489
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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490 <xml name="max_iter" token_default_value="300" token_label="Maximum number of iterations per single run" token_help_text=" ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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491 <param argument="max_iter" type="integer" optional="true" value="@DEFAULT_VALUE@" label="@LABEL@" help="@HELP_TEXT@"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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492 </xml>
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493
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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494 <xml name="n_init" token_default_value="10" >
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495 <param argument="n_init" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Number of runs with different centroid seeds" help=" "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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496 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
497
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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498 <xml name="init">
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499 <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.">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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500 <option value="k-means++">k-means++</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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501 <option value="random">random</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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502 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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503 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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504
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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505 <xml name="gamma" token_default_value="1.0" token_label="Scaling parameter" token_help_text=" ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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506 <param argument="gamma" type="float" optional="true" value="@DEFAULT_VALUE@" label="@LABEL@" help="@HELP_TEXT@"/>
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507 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
508
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
509 <xml name="degree" token_default_value="3" token_label="Degree of the polynomial" token_help_text=" ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
510 <param argument="degree" type="integer" optional="true" value="@DEFAULT_VALUE@" label="@LABEL@" help="@HELP_TEXT@"/>
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511 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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512
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
513 <xml name="coef0" token_default_value="1" token_label="Zero coefficient" token_help_text=" ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
514 <param argument="coef0" type="integer" optional="true" value="@DEFAULT_VALUE@" label="@LABEL@" help="@HELP_TEXT@"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
515 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
516
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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517 <xml name="pos_label" token_default_value="">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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518 <param argument="pos_label" type="integer" optional="true" value="@DEFAULT_VALUE@" label="Label of the positive class" help=" "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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519 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
520
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
521 <xml name="average">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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522 <param argument="average" type="select" optional="true" label="Averaging type" help=" ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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523 <option value="micro">Calculate metrics globally by counting the total true positives, false negatives and false positives. (micro)</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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524 <option value="samples">Calculate metrics for each instance, and find their average. Only meaningful for multilabel. (samples)</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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525 <option value="macro">Calculate metrics for each label, and find their unweighted mean. This does not take label imbalance into account. (macro)</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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526 <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>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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527 <option value="None">None</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
528 <yield/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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529 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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530 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
531
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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532 <xml name="beta">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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533 <param argument="beta" type="float" value="1.0" label="The strength of recall versus precision in the F-score" help=" "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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534 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
535
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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536
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parents:
diff changeset
537 <!--Data interface-->
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
538
10
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
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parents: 9
diff changeset
539 <xml name="samples_tabular" token_multiple1="false" token_multiple2="false">
0
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
540 <param name="infile1" type="data" format="tabular" label="Training samples dataset:"/>
10
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
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diff changeset
541 <param name="header1" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="False" label="Does the dataset contain header:" />
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
bgruening
parents: 9
diff changeset
542 <conditional name="column_selector_options_1">
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
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parents: 9
diff changeset
543 <expand macro="samples_column_selector_options" multiple="@MULTIPLE1@"/>
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
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diff changeset
544 </conditional>
0
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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diff changeset
545 <param name="infile2" type="data" format="tabular" label="Dataset containing class labels:"/>
10
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
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parents: 9
diff changeset
546 <param name="header2" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="False" label="Does the dataset contain header:" />
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
bgruening
parents: 9
diff changeset
547 <conditional name="column_selector_options_2">
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
bgruening
parents: 9
diff changeset
548 <expand macro="samples_column_selector_options" column_option="selected_column_selector_option2" col_name="col2" multiple="@MULTIPLE2@" infile="infile2"/>
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
bgruening
parents: 9
diff changeset
549 </conditional>
0
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
550 <yield/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
551 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
552
10
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
bgruening
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diff changeset
553 <xml name="samples_column_selector_options" token_column_option="selected_column_selector_option" token_col_name="col1" token_multiple="False" token_infile="infile1">
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
bgruening
parents: 9
diff changeset
554 <param name="@COLUMN_OPTION@" type="select" label="Choose how to select data by column:">
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
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parents: 9
diff changeset
555 <option value="by_index_number" selected="true">Select columns by column index number(s)</option>
12
cb14b6827f70 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit cd4a8b019168acd5a513c57a1b1f380622f230f6
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parents: 11
diff changeset
556 <option value="by_header_name">Select columns by column header name(s)</option>
10
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
bgruening
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diff changeset
557 <option value="all_but_by_index_number">All columns but by column index number(s)</option>
12
cb14b6827f70 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit cd4a8b019168acd5a513c57a1b1f380622f230f6
bgruening
parents: 11
diff changeset
558 <option value="all_but_by_header_name">All columns but by column header name(s)</option>
10
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
bgruening
parents: 9
diff changeset
559 <option value="all_columns">All columns</option>
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
bgruening
parents: 9
diff changeset
560 </param>
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
bgruening
parents: 9
diff changeset
561 <when value="by_index_number">
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
bgruening
parents: 9
diff changeset
562 <param name="@COL_NAME@" multiple="@MULTIPLE@" type="data_column" data_ref="@INFILE@" label="Select target column(s):"/>
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
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parents: 9
diff changeset
563 </when>
12
cb14b6827f70 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit cd4a8b019168acd5a513c57a1b1f380622f230f6
bgruening
parents: 11
diff changeset
564 <when value="by_header_name">
15
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
565 <param name="@COL_NAME@" type="text" value="" label="Type header name(s):" help="Comma-separated string. For example: target1,target2"/>
12
cb14b6827f70 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit cd4a8b019168acd5a513c57a1b1f380622f230f6
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parents: 11
diff changeset
566 </when>
11
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bgruening
parents: 10
diff changeset
567 <when value="all_but_by_index_number">
1d2bcebc8678 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 64158f357e708f0b60d2669d92d614f7aee34c0e
bgruening
parents: 10
diff changeset
568 <param name="@COL_NAME@" multiple="@MULTIPLE@" type="data_column" data_ref="@INFILE@" label="Select target column(s):"/>
1d2bcebc8678 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 64158f357e708f0b60d2669d92d614f7aee34c0e
bgruening
parents: 10
diff changeset
569 </when>
12
cb14b6827f70 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit cd4a8b019168acd5a513c57a1b1f380622f230f6
bgruening
parents: 11
diff changeset
570 <when value="all_but_by_header_name">
15
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
571 <param name="@COL_NAME@" type="text" value="" label="Type header name(s):" help="Comma-separated string. For example: target1,target2"/>
12
cb14b6827f70 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit cd4a8b019168acd5a513c57a1b1f380622f230f6
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parents: 11
diff changeset
572 </when>
10
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
bgruening
parents: 9
diff changeset
573 <when value="all_columns">
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
bgruening
parents: 9
diff changeset
574 </when>
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
bgruening
parents: 9
diff changeset
575 </xml>
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
bgruening
parents: 9
diff changeset
576
0
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
577 <xml name="clf_inputs_extended" token_label1=" " token_label2=" " token_multiple="False">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
578 <conditional name="true_columns">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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diff changeset
579 <param name="selected_input1" type="select" label="Select the input type of true labels dataset:">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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diff changeset
580 <option value="tabular" selected="true">Tabular</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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diff changeset
581 <option value="sparse">Sparse</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
582 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
583 <when value="tabular">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
584 <param name="infile1" type="data" label="@LABEL1@"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
585 <param name="col1" type="data_column" data_ref="infile1" label="Select the target column:"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
586 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
587 <when value="sparse">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
588 <param name="infile1" type="data" format="txt" label="@LABEL1@"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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diff changeset
589 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
590 </conditional>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
591 <conditional name="predicted_columns">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
592 <param name="selected_input2" type="select" label="Select the input type of predicted labels dataset:">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
593 <option value="tabular" selected="true">Tabular</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
594 <option value="sparse">Sparse</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
595 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
596 <when value="tabular">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
597 <param name="infile2" type="data" label="@LABEL2@"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
598 <param name="col2" multiple="@MULTIPLE@" type="data_column" data_ref="infile2" label="Select target column(s):"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
599 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
600 <when value="sparse">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
601 <param name="infile2" type="data" format="txt" label="@LABEL1@"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
602 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
603 </conditional>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
604 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
605
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
606 <xml name="clf_inputs" token_label1="Dataset containing true labels (tabular):" token_label2="Dataset containing predicted values (tabular):" token_multiple1="False" token_multiple="False">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
607 <param name="infile1" type="data" format="tabular" label="@LABEL1@"/>
7
cdb7948427aa planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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diff changeset
608 <param name="header1" type="boolean" optional="True" truevalue="booltrue" falsevalue="boolfalse" checked="False" label="Does the dataset contain header:" />
10
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parents: 9
diff changeset
609 <conditional name="column_selector_options_1">
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
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diff changeset
610 <expand macro="samples_column_selector_options" multiple="@MULTIPLE1@"/>
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
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diff changeset
611 </conditional>
0
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
612 <param name="infile2" type="data" format="tabular" label="@LABEL2@"/>
7
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parents: 6
diff changeset
613 <param name="header2" type="boolean" optional="True" truevalue="booltrue" falsevalue="boolfalse" checked="False" label="Does the dataset contain header:" />
10
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
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parents: 9
diff changeset
614 <conditional name="column_selector_options_2">
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
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parents: 9
diff changeset
615 <expand macro="samples_column_selector_options" column_option="selected_column_selector_option2" col_name="col2" multiple="@MULTIPLE@" infile="infile2"/>
93d391c5ba50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
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diff changeset
616 </conditional>
0
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
617 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
618
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
619 <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.">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
620 <repeat name="@NAME@" min="1" max="@MAX_NUM@" title="Select input file(s):">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
621 <param name="input" type="data" format="@FORMAT@" label="@LABEL@" help="@HELP_TEXT@"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
622 </repeat>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
623 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
624
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
625 <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="">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
626 <param name="infile1" type="data" format="@FORMAT1@" label="@LABEL1@" help="@HELP1@"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
627 <param name="infile2" type="data" format="@FORMAT2@" label="@LABEL2@" help="@HELP2@"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
628 <param name="col2" multiple="@MULTIPLE@" type="data_column" data_ref="infile2" label="Select target column(s):"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
629 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
630
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
631 <xml name="sl_mixed_input">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
632 <conditional name="input_options">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
633 <param name="selected_input" type="select" label="Select input type:">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
634 <option value="tabular" selected="true">tabular data</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
635 <option value="sparse">sparse matrix</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
636 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
637 <when value="tabular">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
638 <expand macro="samples_tabular" multiple1="true"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
639 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
640 <when value="sparse">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
641 <expand macro="sparse_target"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
642 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
643 </conditional>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
644 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
645
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
646 <!--Advanced options-->
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
647 <xml name="nn_advanced_options">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
648 <section name="options" title="Advanced Options" expanded="False">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
649 <yield/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
650 <param argument="weights" type="select" label="Weight function" help="Used in prediction.">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
651 <option value="uniform" selected="true">Uniform weights. All points in each neighborhood are weighted equally. (Uniform)</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
652 <option value="distance">Weight points by the inverse of their distance. (Distance)</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
653 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
654 <param argument="algorithm" type="select" label="Neighbor selection algorithm" help=" ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
655 <option value="auto" selected="true">Auto</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
656 <option value="ball_tree">BallTree</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
657 <option value="kd_tree">KDTree</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
658 <option value="brute">Brute-force</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
659 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
660 <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."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
661 <!--param name="metric"-->
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
662 <!--param name="p"-->
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
663 <!--param name="metric_params"-->
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
664 </section>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
665 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
666
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
667 <xml name="svc_advanced_options">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
668 <section name="options" title="Advanced Options" expanded="False">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
669 <yield/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
670 <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.">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
671 <option value="rbf" selected="true">rbf</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
672 <option value="linear">linear</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
673 <option value="poly">poly</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
674 <option value="sigmoid">sigmoid</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
675 <option value="precomputed">precomputed</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
676 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
677 <param argument="degree" type="integer" optional="true" value="3" label="Degree of the polynomial (polynomial kernel only)" help="Ignored by other kernels. dafault : 3 "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
678 <!--TODO: param argument="gamma" float, optional (default=’auto’) -->
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
679 <param argument="coef0" type="float" optional="true" value="0.0" label="Zero coefficient (polynomial and sigmoid kernels only)"
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
680 help="Independent term in kernel function. dafault: 0.0 "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
681 <param argument="shrinking" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="true"
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
682 label="Use the shrinking heuristic" help=" "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
683 <param argument="probability" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="false"
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
684 label="Enable probability estimates. " help="This must be enabled prior to calling fit, and will slow down that method."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
685 <!-- param argument="cache_size"-->
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
686 <!--expand macro="class_weight"/-->
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
687 <expand macro="tol" default_value="0.001" help_text="Tolerance for stopping criterion. "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
688 <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."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
689 <!--param argument="decision_function_shape"-->
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
690 <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."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
691 </section>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
692 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
693
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
694 <xml name="spectral_clustering_advanced_options">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
695 <section name="options" title="Advanced Options" expanded="False">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
696 <expand macro="n_clusters"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
697 <param argument="eigen_solver" type="select" value="" label="Eigen solver" help="The eigenvalue decomposition strategy to use.">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
698 <option value="arpack" selected="true">arpack</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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699 <option value="lobpcg">lobpcg</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
700 <option value="amg">amg</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
701 <!--None-->
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
702 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
703 <expand macro="random_state"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
704 <expand macro="n_init"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
705 <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''."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
706 <param argument="affinity" type="select" label="Affinity" help="Affinity kernel to use. ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
707 <option value="rbf" selected="true">RBF</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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parents:
diff changeset
708 <option value="precomputed">precomputed</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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diff changeset
709 <option value="nearest_neighbors">Nearset neighbors</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
710 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
711 <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''"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
712 <!--param argument="eigen_tol"-->
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
713 <param argument="assign_labels" type="select" label="Assign labels" help="The strategy to use to assign labels in the embedding space.">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
714 <option value="kmeans" selected="true">kmeans</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
715 <option value="discretize">discretize</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
716 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
717 <param argument="degree" type="integer" optional="true" value="3"
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
718 label="Degree of the polynomial (polynomial kernel only)" help="Ignored by other kernels. dafault : 3 "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
719 <param argument="coef0" type="integer" optional="true" value="1"
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
720 label="Zero coefficient (polynomial and sigmoid kernels only)" help="Ignored by other kernels. dafault : 1 "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
721 <!--param argument="kernel_params"-->
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
722 </section>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
723 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
724
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
725 <xml name="minibatch_kmeans_advanced_options">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
726 <section name="options" title="Advanced Options" expanded="False">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
727 <expand macro="n_clusters"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
728 <expand macro="init"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
729 <expand macro="n_init" default_value="3"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
730 <expand macro="max_iter" default_value="100"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
731 <expand macro="tol" help_text="Early stopping heuristics based on normalized center change. To disable set to 0.0 ."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
732 <expand macro="random_state"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
733 <param argument="batch_size" type="integer" optional="true" value="100" label="Batch size" help="Size of the mini batches."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
734 <!--param argument="compute_labels"-->
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
735 <param argument="max_no_improvement" type="integer" optional="true" value="10" label="Maximum number of improvement attempts" help="
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
736 Convergence detection based on inertia (the consecutive number of mini batches that doe not yield an improvement on the smoothed inertia).
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
737 To disable, set max_no_improvement to None. "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
738 <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 )"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
739 <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."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
740 </section>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
741 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
742
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
743 <xml name="kmeans_advanced_options">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
744 <section name="options" title="Advanced Options" expanded="False">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
745 <expand macro="n_clusters"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
746 <expand macro="init"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
747 <expand macro="n_init"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
748 <expand macro="max_iter"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
749 <expand macro="tol" default_value="0.0001" help_text="Relative tolerance with regards to inertia to declare convergence."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
750 <!--param argument="precompute_distances"/-->
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
751 <expand macro="random_state"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
752 <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."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
753 </section>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
754 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
755
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
756 <xml name="birch_advanced_options">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
757 <section name="options" title="Advanced Options" expanded="False">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
758 <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."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
759 <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."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
760 <expand macro="n_clusters" default_value="3"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
761 <!--param argument="compute_labels"/-->
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
762 </section>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
763 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
764
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
765 <xml name="dbscan_advanced_options">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
766 <section name="options" title="Advanced Options" expanded="False">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
767 <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."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
768 <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."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
769 <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."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
770 <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.">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
771 <option value="auto" selected="true">auto</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
772 <option value="ball_tree">ball_tree</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
773 <option value="kd_tree">kd_tree</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
774 <option value="brute">brute</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
775 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
776 <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."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
777 </section>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
778 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
779
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
780 <xml name="clustering_algorithms_options">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
781 <conditional name="algorithm_options">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
782 <param name="selected_algorithm" type="select" label="Clustering Algorithm">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
783 <option value="KMeans" selected="true">KMeans</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
784 <option value="SpectralClustering">Spectral Clustering</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
785 <option value="MiniBatchKMeans">Mini Batch KMeans</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
786 <option value="DBSCAN">DBSCAN</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
787 <option value="Birch">Birch</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
788 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
789 <when value="KMeans">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
790 <expand macro="kmeans_advanced_options"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
791 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
792 <when value="DBSCAN">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
793 <expand macro="dbscan_advanced_options"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
794 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
795 <when value="Birch">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
796 <expand macro="birch_advanced_options"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
797 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
798 <when value="SpectralClustering">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
799 <expand macro="spectral_clustering_advanced_options"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
800 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
801 <when value="MiniBatchKMeans">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
802 <expand macro="minibatch_kmeans_advanced_options"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
803 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
804 </conditional>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
805 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
806
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
807 <xml name="distance_metrics">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
808 <param argument="metric" type="select" label="Distance metric" help=" ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
809 <option value="euclidean" selected="true">euclidean</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
810 <option value="cityblock">cityblock</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
811 <option value="cosine">cosine</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
812 <option value="l1">l1</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
813 <option value="l2">l2</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
814 <option value="manhattan">manhattan</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
815 <yield/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
816 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
817 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
818
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
819 <xml name="distance_nonsparse_metrics">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
820 <option value="braycurtis">braycurtis</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
821 <option value="canberra">canberra</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
822 <option value="chebyshev">chebyshev</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
823 <option value="correlation">correlation</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
824 <option value="dice">dice</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
825 <option value="hamming">hamming</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
826 <option value="jaccard">jaccard</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
827 <option value="kulsinski">kulsinski</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
828 <option value="mahalanobis">mahalanobis</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
829 <option value="matching">matching</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
830 <option value="minkowski">minkowski</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
831 <option value="rogerstanimoto">rogerstanimoto</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
832 <option value="russellrao">russellrao</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
833 <option value="seuclidean">seuclidean</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
834 <option value="sokalmichener">sokalmichener</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
835 <option value="sokalsneath">sokalsneath</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
836 <option value="sqeuclidean">sqeuclidean</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
837 <option value="yule">yule</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
838 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
839
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
840 <xml name="pairwise_kernel_metrics">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
841 <param argument="metric" type="select" label="Pirwise Kernel metric" help=" ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
842 <option value="rbf" selected="true">rbf</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
843 <option value="sigmoid">sigmoid</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
844 <option value="polynomial">polynomial</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
845 <option value="linear" selected="true">linear</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
846 <option value="chi2">chi2</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
847 <option value="additive_chi2">additive_chi2</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
848 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
849 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
850
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
851 <xml name="sparse_pairwise_metric_functions">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
852 <param name="selected_metric_function" type="select" label="Select the pairwise metric you want to compute:">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
853 <option value="euclidean_distances" selected="true">Euclidean distance matrix</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
854 <option value="pairwise_distances">Distance matrix</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
855 <option value="pairwise_distances_argmin">Minimum distances between one point and a set of points</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
856 <yield/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
857 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
858 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
859
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
860 <xml name="pairwise_metric_functions">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
861 <option value="additive_chi2_kernel" >Additive chi-squared kernel</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
862 <option value="chi2_kernel">Exponential chi-squared kernel</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
863 <option value="linear_kernel">Linear kernel</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
864 <option value="manhattan_distances">L1 distances</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
865 <option value="pairwise_kernels">Kernel</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
866 <option value="polynomial_kernel">Polynomial kernel</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
867 <option value="rbf_kernel">Gaussian (rbf) kernel</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
868 <option value="laplacian_kernel">Laplacian kernel</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
869 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
870
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
871 <xml name="sparse_pairwise_condition">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
872 <when value="pairwise_distances">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
873 <section name="options" title="Advanced Options" expanded="False">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
874 <expand macro="distance_metrics">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
875 <yield/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
876 </expand>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
877 </section>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
878 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
879 <when value="euclidean_distances">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
880 <section name="options" title="Advanced Options" expanded="False">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
881 <param argument="squared" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="false"
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
882 label="Return squared Euclidean distances" help=" "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
883 </section>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
884 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
885 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
886
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
887 <xml name="argmin_distance_condition">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
888 <when value="pairwise_distances_argmin">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
889 <section name="options" title="Advanced Options" expanded="False">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
890 <param argument="axis" type="integer" optional="true" value="1" label="Axis" help="Axis along which the argmin and distances are to be computed."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
891 <expand macro="distance_metrics">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
892 <yield/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
893 </expand>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
894 <param argument="batch_size" type="integer" optional="true" value="500" label="Batch size" help="Number of rows to be processed in each batch run."/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
895 </section>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
896 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
897 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
898
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
899 <xml name="sparse_preprocessors">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
900 <param name="selected_pre_processor" type="select" label="Select a preprocessor:">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
901 <option value="StandardScaler" selected="true">Standard Scaler (Standardizes features by removing the mean and scaling to unit variance)</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
902 <option value="Binarizer">Binarizer (Binarizes data)</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
903 <option value="Imputer">Imputer (Completes missing values)</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
904 <option value="MaxAbsScaler">Max Abs Scaler (Scales features by their maximum absolute value)</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
905 <option value="Normalizer">Normalizer (Normalizes samples individually to unit norm)</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
906 <yield/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
907 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
908 </xml>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
909
15
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
910 <xml name="sparse_preprocessors_ext">
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
911 <expand macro="sparse_preprocessors">
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
912 <option value="KernelCenterer">Kernel Centerer (Centers a kernel matrix)</option>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
913 <option value="MinMaxScaler">Minmax Scaler (Scales features to a range)</option>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
914 <option value="PolynomialFeatures">Polynomial Features (Generates polynomial and interaction features)</option>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
915 <option value="RobustScaler">Robust Scaler (Scales features using outlier-invariance statistics)</option>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
916 </expand>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
917 </xml>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
918
0
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
919 <xml name="sparse_preprocessor_options">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
920 <when value="Binarizer">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
921 <section name="options" title="Advanced Options" expanded="False">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
922 <param argument="copy" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="true"
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
923 label="Use a copy of data for precomputing binarization" help=" "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
924 <param argument="threshold" type="float" optional="true" value="0.0"
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
925 label="Threshold"
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
926 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. "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
927 </section>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
928 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
929 <when value="Imputer">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
930 <section name="options" title="Advanced Options" expanded="False">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
931 <param argument="copy" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="true"
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
932 label="Use a copy of data for precomputing imputation" help=" "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
933 <param argument="strategy" type="select" optional="true" label="Imputation strategy" help=" ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
934 <option value="mean" selected="true">Replace missing values using the mean along the axis</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
935 <option value="median">Replace missing values using the median along the axis</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
936 <option value="most_frequent">Replace missing using the most frequent value along the axis</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
937 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
938 <param argument="missing_values" type="text" optional="true" value="NaN"
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
939 label="Placeholder for missing values" help="For missing values encoded as numpy.nan, use the string value “NaN”"/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
940 <param argument="axis" type="boolean" optional="true" truevalue="1" falsevalue="0"
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
941 label="Impute along axis = 1" help="If fasle, axis = 0 is selected for imputation. "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
942 <!--param argument="axis" type="select" optional="true" label="The axis along which to impute" help=" ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
943 <option value="0" selected="true">Impute along columns</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
944 <option value="1">Impute along rows</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
945 </param-->
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
946 </section>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
947 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
948 <when value="StandardScaler">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
949 <section name="options" title="Advanced Options" expanded="False">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
950 <param argument="copy" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="true"
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
951 label="Use a copy of data for performing inplace scaling" help=" "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
952 <param argument="with_mean" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="true"
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
953 label="Center the data before scaling" help=" "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
954 <param argument="with_std" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="true"
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
955 label="Scale the data to unit variance (or unit standard deviation)" help=" "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
956 </section>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
957 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
958 <when value="MaxAbsScaler">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
959 <section name="options" title="Advanced Options" expanded="False">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
960 <param argument="copy" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="true"
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
961 label="Use a copy of data for precomputing scaling" help=" "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
962 </section>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
963 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
964 <when value="Normalizer">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
965 <section name="options" title="Advanced Options" expanded="False">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
966 <param argument="norm" type="select" optional="true" label="The norm to use to normalize non zero samples" help=" ">
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
967 <option value="l1" selected="true">l1</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
968 <option value="l2">l2</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
969 <option value="max">max</option>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
970 </param>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
971 <param argument="copy" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="true"
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
972 label="Use a copy of data for precomputing row normalization" help=" "/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
973 </section>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
974 </when>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
975 <yield/>
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
976 </xml>
15
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
977
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
978 <xml name="sparse_preprocessor_options_ext">
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
979 <expand macro="sparse_preprocessor_options">
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
980 <when value="KernelCenterer">
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
981 <section name="options" title="Advanced Options" expanded="False">
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
982 </section>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
983 </when>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
984 <when value="MinMaxScaler">
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
985 <section name="options" title="Advanced Options" expanded="False">
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
986 <!--feature_range-->
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
987 <param argument="copy" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolflase" checked="true"
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
988 label="Use a copy of data for precomputing normalization" help=" "/>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
989 </section>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
990 </when>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
991 <when value="PolynomialFeatures">
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
992 <section name="options" title="Advanced Options" expanded="False">
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
993 <param argument="degree" type="integer" optional="true" value="2" label="The degree of the polynomial features " help=""/>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
994 <param argument="interaction_only" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolflase" checked="false" label="Produce interaction features only" help="(Features that are products of at most degree distinct input features) "/>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
995 <param argument="include_bias" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolflase" checked="true" label="Include a bias column" help="Feature in which all polynomial powers are zero "/>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
996 </section>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
997 </when>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
998 <when value="RobustScaler">
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
999 <section name="options" title="Advanced Options" expanded="False">
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
1000 <!--=True, =True, copy=True-->
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
1001 <param argument="with_centering" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolflase" checked="true"
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
1002 label="Center the data before scaling" help=" "/>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
1003 <param argument="with_scaling" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolflase" checked="true"
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
1004 label="Scale the data to interquartile range" help=" "/>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
1005 <param argument="copy" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolflase" checked="true"
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
1006 label="Use a copy of data for inplace scaling" help=" "/>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
1007 </section>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
1008 </when>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
1009 </expand>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
1010 </xml>
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
1011
16
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1012 <xml name="fs_selectfrommodel_prefitted">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1013 <param name="input_mode" type="select" label="Construct a new estimator from a selection list?" >
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1014 <option value="new" selected="true">Yes</option>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1015 <option value="prefitted">No. Load a prefitted estimator</option>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1016 </param>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1017 <when value="new">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1018 <expand macro="estimator_selector_all"/>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1019 </when>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1020 <when value="prefitted">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1021 <param name="fitted_estimator" type="data" format='zip' label="Load a prefitted estimator" />
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1022 </when>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1023 </xml>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1024
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1025 <xml name="fs_selectfrommodel_no_prefitted">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1026 <param name="input_mode" type="select" label="Construct a new estimator from a selection list?" >
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1027 <option value="new" selected="true">Yes</option>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1028 </param>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1029 <when value="new">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1030 <expand macro="estimator_selector_all"/>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1031 </when>
9
1b2b2d304e44 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents: 8
diff changeset
1032 </xml>
15
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
1033
8
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1034 <xml name="feature_selection_all">
16
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1035 <conditional name="fs_algorithm_selector">
8
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1036 <param name="selected_algorithm" type="select" label="Select a feature selection algorithm">
16
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1037 <option value="SelectKBest" selected="true">SelectKBest - Select features according to the k highest scores</option>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1038 <option value="SelectFromModel">SelectFromModel - Meta-transformer for selecting features based on importance weights</option>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1039 <option value="GenericUnivariateSelect">GenericUnivariateSelect - Univariate feature selector with configurable strategy</option>
8
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1040 <option value="SelectPercentile">SelectPercentile - Select features according to a percentile of the highest scores</option>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1041 <option value="SelectFpr">SelectFpr - Filter: Select the p-values below alpha based on a FPR test</option>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1042 <option value="SelectFdr">SelectFdr - Filter: Select the p-values for an estimated false discovery rate</option>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1043 <option value="SelectFwe">SelectFwe - Filter: Select the p-values corresponding to Family-wise error rate</option>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1044 <option value="RFE">RFE - Feature ranking with recursive feature elimination</option>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1045 <option value="RFECV">RFECV - Feature ranking with recursive feature elimination and cross-validated selection of the best number of features</option>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1046 <option value="VarianceThreshold">VarianceThreshold - Feature selector that removes all low-variance features</option>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1047 </param>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1048 <when value="SelectFromModel">
16
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1049 <conditional name="model_inputter">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1050 <yield/>
8
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1051 </conditional>
16
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1052 <section name="options" title="Advanced Options" expanded="False">
8
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1053 <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'." />
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1054 <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. " />
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1055 </section>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1056 </when>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1057 <when value="GenericUnivariateSelect">
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1058 <expand macro="feature_selection_score_function" />
16
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1059 <section name="options" title="Advanced Options" expanded="False">
8
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1060 <param argument="mode" type="select" label="Feature selection mode">
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1061 <option value="percentile">percentile</option>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1062 <option value="k_best">k_best</option>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1063 <option value="fpr">fpr</option>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1064 <option value="fdr">fdr</option>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1065 <option value="fwe">fwe</option>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1066 </param>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1067 <param argument="param" type="float" value="" optional="true" label="Parameter of the corresponding mode" help="float or int depending on the feature selection mode" />
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1068 </section>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1069 </when>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1070 <when value="SelectPercentile">
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1071 <expand macro="feature_selection_score_function" />
16
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1072 <section name="options" title="Advanced Options" expanded="False">
8
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1073 <param argument="percentile" type="integer" value="10" optional="True" label="Percent of features to keep" />
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1074 </section>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1075 </when>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1076 <when value="SelectKBest">
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1077 <expand macro="feature_selection_score_function" />
16
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1078 <section name="options" title="Advanced Options" expanded="False">
8
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1079 <param argument="k" type="integer" value="10" optional="True" label="Number of top features to select" help="No 'all' option is supported." />
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1080 </section>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1081 </when>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1082 <when value="SelectFpr">
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1083 <expand macro="feature_selection_score_function" />
16
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1084 <section name="options" title="Advanced Options" expanded="False">
8
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1085 <param argument="alpha" type="float" value="" optional="True" label="Alpha" help="The highest p-value for features to be kept."/>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1086 </section>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1087 </when>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1088 <when value="SelectFdr">
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1089 <expand macro="feature_selection_score_function" />
16
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1090 <section name="options" title="Advanced Options" expanded="False">
8
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1091 <param argument="alpha" type="float" value="" optional="True" label="Alpha" help="The highest uncorrected p-value for features to keep."/>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1092 </section>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1093 </when>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1094 <when value="SelectFwe">
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1095 <expand macro="feature_selection_score_function" />
16
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1096 <section name="options" title="Advanced Options" expanded="False">
8
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1097 <param argument="alpha" type="float" value="" optional="True" label="Alpha" help="The highest uncorrected p-value for features to keep."/>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1098 </section>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1099 </when>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1100 <when value="RFE">
16
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1101 <expand macro="estimator_selector_all"/>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1102 <section name="options" title="Advanced Options" expanded="False">
8
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1103 <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." />
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1104 <param argument="step" type="float" value="1" label="step" optional="true" help="Default = 1. " />
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1105 <param argument="verbose" type="integer" value="0" label="verbose" help="Controls verbosity of output." />
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1106 </section>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1107 </when>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1108 <when value="RFECV">
16
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1109 <expand macro="estimator_selector_all"/>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1110 <section name="options" title="Advanced Options" expanded="False">
8
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1111 <param argument="step" type="float" value="1" label="step" optional="true" help="Default = 1. " />
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1112 <param argument="cv" type="integer" value="" optional="true" label="cv" help="Determines the cross-validation splitting strategy" />
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1113 <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)."/>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1114 <param argument="verbose" type="integer" value="0" label="verbose" help="Controls verbosity of output." />
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1115 <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."/>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1116 </section>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1117 </when>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1118 <when value="VarianceThreshold">
16
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1119 <section name="options" title="Options" expanded="False">
8
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1120 <param argument="threshold" type="float" value="" optional="True" label="Threshold" help="Features with a training-set variance lower than this threshold will be removed."/>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1121 </section>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1122 </when>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1123 <!--when value="chi2">
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1124 </when>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1125 <when value="f_classif">
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1126 </when>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1127 <when value="f_regression">
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1128 </when>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1129 <when value="mutual_info_classif">
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1130 </when>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1131 <when value="mutual_info_regression">
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1132 </when-->
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1133 </conditional>
b1c2fe7df3f3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
bgruening
parents: 7
diff changeset
1134 </xml>
15
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
1135
6
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1136 <xml name="feature_selection_score_function">
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1137 <param argument="score_func" type="select" label="Select a score function">
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1138 <option value="chi2">chi2 - Compute chi-squared stats between each non-negative feature and class</option>
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1139 <option value="f_classif">f_classif - Compute the ANOVA F-value for the provided sample</option>
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1140 <option value="f_regression">f_regression - Univariate linear regression tests</option>
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1141 <option value="mutual_info_classif">mutual_info_classif - Estimate mutual information for a discrete target variable</option>
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1142 <option value="mutual_info_regression">mutual_info_regression - Estimate mutual information for a continuous target variable</option>
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1143 </param>
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1144 </xml>
15
fb232caca397 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
bgruening
parents: 13
diff changeset
1145
16
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1146 <xml name="feature_selection_output_mothods">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1147 <conditional name="output_method_selector">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1148 <param name="selected_method" type="select" label="Select an output method:">
6
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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parents: 5
diff changeset
1149 <option value="fit_transform">fit_transform - Fit to data, then transform it</option>
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1150 <option value="get_support">get_support - Get a mask, or integer index, of the features selected</option>
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1151 </param>
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1152 <when value="fit_transform">
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1153 <!--**fit_params-->
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1154 </when>
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1155 <when value="get_support">
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1156 <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."/>
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1157 </when>
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1158 </conditional>
e44443b071da planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents: 5
diff changeset
1159 </xml>
0
e0067d9baffc planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
parents:
diff changeset
1160
7
cdb7948427aa planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents: 6
diff changeset
1161 <xml name="model_validation_common_options">
18
21fdd6cdb88f planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit b1e5fa3170484d2cc3396f2abe99bb8cfcfa9c65
bgruening
parents: 16
diff changeset
1162 <param argument="cv" type="text" value="" size="50" optional="true" label="cv" help="Optional. Integer or evalable splitter object, e.g., StratifiedKFold(n_splits=3, shuffle=True, random_state=10). Leave blank for default." />
7
cdb7948427aa planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents: 6
diff changeset
1163 <expand macro="n_jobs"/>
cdb7948427aa planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents: 6
diff changeset
1164 <expand macro="verbose"/>
cdb7948427aa planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents: 6
diff changeset
1165 <yield/>
cdb7948427aa planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents: 6
diff changeset
1166 </xml>
cdb7948427aa planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents: 6
diff changeset
1167
cdb7948427aa planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents: 6
diff changeset
1168 <xml name="scoring">
cdb7948427aa planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents: 6
diff changeset
1169 <param argument="scoring" type="text" value="" optional="true" label="scoring" help="A metric used to evaluate the estimator"/>
cdb7948427aa planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents: 6
diff changeset
1170 </xml>
cdb7948427aa planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents: 6
diff changeset
1171
16
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1172 <xml name="pre_dispatch" token_type="hidden" token_default_value="all" token_help="Number of predispatched jobs for parallel execution">
9
1b2b2d304e44 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 4ed8c4f6ef9ece81797a398b17a99bbaf49a6978
bgruening
parents: 8
diff changeset
1173 <param argument="pre_dispatch" type="@TYPE@" value="@DEFAULT_VALUE@" optional="true" label="pre_dispatch" help="@HELP@"/>
7
cdb7948427aa planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents: 6
diff changeset
1174 </xml>
cdb7948427aa planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents: 6
diff changeset
1175
16
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1176 <xml name="search_cv_estimator">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1177 <param name="infile_pipeline" type="data" format="zip" label="Choose the dataset containing pipeline object:"/>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1178 <section name="search_params_builder" title="Search parameters Builder" expanded="true">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1179 <repeat name="param_set" min="1" max="20" title="Parameter setting for search:">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1180 <conditional name="search_param_selector">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1181 <param name="selected_param_type" type="select" label="Choose the transformation the parameter belongs to">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1182 <option value="final_estimator_p" selected="true">Final estimator</option>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1183 <option value="prep_1_p">Pre-processing step #1</option>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1184 <option value="prep_2_p">Pre-processing step #2</option>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1185 <option value="prep_3_p">Pre-processing step #3</option>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1186 <option value="prep_4_p">Pre-processing step #4</option>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1187 <option value="prep_5_p">Pre-processing step #5</option>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1188 </param>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1189 <when value="final_estimator_p">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1190 <expand macro="search_param_input" />
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1191 </when>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1192 <when value="prep_1_p">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1193 <expand macro="search_param_input" label="Pre_processing component #1 parameter:" help="One parameter per box. For example: with_centering: [True, False]."/>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1194 </when>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1195 <when value="prep_2_p">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1196 <expand macro="search_param_input" label="Pre_processing component #2 parameter:" help="One parameter per box. For example: k: [3, 5, 7, 9]. See bottom for more examples"/>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1197 </when>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1198 <when value="prep_3_p">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1199 <expand macro="search_param_input" label="Pre_processing component #3 parameter:" help="One parameter per box. For example: n_components: [1, 10, 100, 1000]. See bottom for more examples"/>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1200 </when>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1201 <when value="prep_4_p">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1202 <expand macro="search_param_input" label="Pre_processing component #4 parameter:" help="One parameter per box. For example: n_components: [1, 10, 100, 1000]. See bottom for more examples"/>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1203 </when>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1204 <when value="prep_5_p">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1205 <expand macro="search_param_input" label="Pre_processing component #5 parameter:" help="One parameter per box. For example: affinity: ['euclidean', 'l1', 'l2', 'manhattan']. See bottom for more examples"/>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1206 </when>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1207 </conditional>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1208 </repeat>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1209 </section>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1210 </xml>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
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parents: 15
diff changeset
1211
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
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diff changeset
1212 <xml name="search_param_input" token_label="Estimator parameter:" token_help="One parameter per box. For example: C: [1, 10, 100, 1000]. See bottom for more examples">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1213 <param name="search_p" type="text" value="" size="100" optional="true" label="@LABEL@" help="@HELP@">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1214 <sanitizer>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1215 <valid initial="default">
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1216 <add value="&apos;"/>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 15
diff changeset
1217 <add value="&quot;"/>
0b57ef8831fb planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
pare