Mercurial > repos > bgruening > sklearn_feature_selection

annotate feature_selection.xml @ 25:41b109e70a7f draft

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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
author bgruening
date Mon, 16 Dec 2019 05:30:39 -0500
parents c2cd3219543a
children 93f3b307485f
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1 <tool id="sklearn_feature_selection" name="Feature Selection" version="@VERSION@">
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2 <description>module, including univariate filter selection methods and recursive feature elimination algorithm</description>
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3 <macros>
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4 <import>main_macros.xml</import>
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5 </macros>
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6 <expand macro="python_requirements"/>
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7 <!--TODO: Add imblearn package support-->
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8 <expand macro="macro_stdio"/>
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9 <version_command>echo "@VERSION@"</version_command>
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10 <command>
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11 <![CDATA[
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12 python "$feature_selection_script" '$inputs'
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13 ]]>
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14 </command>
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15 <configfiles>
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16 <inputs name="inputs" />
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17 <configfile name="feature_selection_script">
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18 <![CDATA[
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19 import json
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20 import sklearn.feature_selection
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21 import skrebate
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22 import pandas
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23 import sys
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24 import warnings
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25 import xgboost
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26 from sklearn import (
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27 cluster, compose, decomposition, ensemble, feature_extraction,
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28 feature_selection, gaussian_process, kernel_approximation, metrics,
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29 model_selection, naive_bayes, neighbors, pipeline, preprocessing,
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30 svm, linear_model, tree, discriminant_analysis)
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31 from imblearn.pipeline import Pipeline as imbPipeline
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32 from sklearn.pipeline import Pipeline
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34 from galaxy_ml.utils import (SafeEval, feature_selector,
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35 read_columns, get_module)
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38 warnings.simplefilter('ignore')
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40 safe_eval = SafeEval()
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41
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42 input_json_path = sys.argv[1]
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43 with open(input_json_path, 'r') as param_handler:
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44 params = json.load(param_handler)
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45
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46 ## handle cheetah
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47 #if $fs_algorithm_selector.selected_algorithm == 'SelectFromModel'\
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48 and $fs_algorithm_selector.model_inputter.input_mode == 'prefitted':
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49 params['fs_algorithm_selector']['model_inputter']['fitted_estimator'] =\
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50 '$fs_algorithm_selector.model_inputter.fitted_estimator'
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51 #end if
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52
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53 #if $fs_algorithm_selector.selected_algorithm == 'SelectFromModel'\
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54 and $fs_algorithm_selector.model_inputter.input_mode == 'new'\
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55 and $fs_algorithm_selector.model_inputter.estimator_selector.selected_module == 'custom_estimator':
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56 params['fs_algorithm_selector']['model_inputter']['estimator_selector']['c_estimator'] =\
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57 '$fs_algorithm_selector.model_inputter.estimator_selector.c_estimator'
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58 #end if
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59
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60 #if $fs_algorithm_selector.selected_algorithm in ['RFE', 'RFECV', 'DyRFECV']\
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61 and $fs_algorithm_selector.estimator_selector.selected_module == 'custom_estimator':
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62 params['fs_algorithm_selector']['estimator_selector']['c_estimator'] =\
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63 '$fs_algorithm_selector.estimator_selector.c_estimator'
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64 #end if
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65
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66 #if $fs_algorithm_selector.selected_algorithm in ['RFECV', 'DyRFECV']\
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67 and $fs_algorithm_selector.options.cv_selector.selected_cv\
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68 in ['GroupKFold', 'GroupShuffleSplit', 'LeaveOneGroupOut', 'LeavePGroupsOut']:
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69 params['fs_algorithm_selector']['options']['cv_selector']['groups_selector']['infile_g'] =\
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70 '$fs_algorithm_selector.options.cv_selector.groups_selector.infile_g'
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71 #end if
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72
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73 ## Read features
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74 features_has_header = params['input_options']['header1']
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75 #if $input_options.selected_input == 'tabular'
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76 header = 'infer' if features_has_header else None
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77 column_option = params['input_options']['column_selector_options_1']['selected_column_selector_option']
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78 if column_option in ['by_index_number', 'all_but_by_index_number', 'by_header_name', 'all_but_by_header_name']:
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79 c = params['input_options']['column_selector_options_1']['col1']
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80 else:
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81 c = None
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82 X, input_df = read_columns(
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83 '$input_options.infile1',
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84 c = c,
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85 c_option = column_option,
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86 return_df = True,
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87 sep='\t',
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88 header=header,
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89 parse_dates=True)
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90 X = X.astype(float)
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91 #elif $input_options.selected_input == 'seq_fasta'
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92 fasta_file = '$input_options.fasta_file'
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93 pyfaidx = get_module('pyfaidx')
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94 sequences = pyfaidx.Fasta(fasta_file)
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95 n_seqs = len(sequences.keys())
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96 X = np.arange(n_seqs)[:, np.newaxis]
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97 for param in estimator_params.keys():
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98 if param.endswith('fasta_path'):
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99 estimator.set_params(
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100 **{param: fasta_file})
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101 else:
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102 raise ValueError(
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103 "The selected estimator doesn't support "
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104 "fasta file input! Please consider using "
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105 "KerasGBatchClassifier with "
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106 "FastaDNABatchGenerator/FastaProteinBatchGenerator "
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107 "or having GenomeOneHotEncoder/ProteinOneHotEncoder "
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108 "in pipeline!")
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109 #elif $input_options.selected_input == 'sparse'
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110 X = mmread('$input_options.infile1')
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111 #end if
0
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112
18
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113 ## Read labels
17
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114 header = 'infer' if params['input_options']['header2'] else None
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115 column_option = params['input_options']['column_selector_options_2']['selected_column_selector_option2']
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116 if column_option in ['by_index_number', 'all_but_by_index_number', 'by_header_name', 'all_but_by_header_name']:
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117 c = params['input_options']['column_selector_options_2']['col2']
4
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118 else:
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119 c = None
0
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120 y = read_columns(
17
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121 '$input_options.infile2',
4
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122 c = c,
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123 c_option = column_option,
0
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124 sep='\t',
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125 header=header,
18
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126 parse_dates=True)
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127 y = y.ravel()
0
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128
18
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129 ## Create feature selector
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130 new_selector = feature_selector(params['fs_algorithm_selector'], X=X, y=y)
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131 if params['fs_algorithm_selector']['selected_algorithm'] != 'SelectFromModel'\
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132 or params['fs_algorithm_selector']['model_inputter']['input_mode'] != 'prefitted' :
2
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133 new_selector.fit(X, y)
0
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134
2
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135 ## Transform to select features
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136 selected_names = None
0
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137
17
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138 res = new_selector.transform(X)
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139 if features_has_header:
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140 selected_names = input_df.columns[new_selector.get_support(indices=True)]
2
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141 res = pandas.DataFrame(res, columns = selected_names)
17
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142 res.to_csv(path_or_buf='$outfile', sep='\t', index=False)
0
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143
17
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144 #if $save:
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145 with open('$outfile_selector', 'wb') as output_handler:
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146 pickle.dump(new_selector, output_handler, pickle.HIGHEST_PROTOCOL)
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147 #end if
0
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148
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149 ]]>
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150 </configfile>
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151 </configfiles>
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152 <inputs>
17
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153 <expand macro="feature_selection_fs"/>
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154 <param name="save" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="false" label="Save the fitted selector?"/>
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155 <expand macro="sl_mixed_input_plus_sequence"/>
0
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156 </inputs>
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157 <outputs>
17
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158 <data format="tabular" name="outfile" />
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159 <data format="zip" name="outfile_selector" label="${fs_algorithm_selector.selected_algorithm}">
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160 <filter>save</filter>
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161 </data>
0
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162 </outputs>
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163 <tests>
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164 <test>
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165 <param name="selected_algorithm" value="SelectFromModel"/>
10
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166 <param name="input_mode" value="new"/>
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167 <param name="selected_module" value="ensemble"/>
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168 <param name="selected_estimator" value="RandomForestRegressor"/>
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169 <param name="text_params" value="n_estimators=10, random_state=10"/>
10
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170 <param name="infile1" value="regression_train.tabular" ftype="tabular"/>
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171 <param name="header1" value="false"/>
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172 <param name="col1" value="1,2,3,4,5"/>
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173 <param name="infile2" value="regression_train.tabular" ftype="tabular"/>
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174 <param name="col2" value="6"/>
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175 <param name="header2" value="false"/>
0
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176 <output name="outfile" file="feature_selection_result01"/>
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177 </test>
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178 <test>
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179 <param name="selected_algorithm" value="GenericUnivariateSelect"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
180 <param name="param" value="20"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
181 <param name="infile1" value="regression_X.tabular" ftype="tabular"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
182 <param name="header1" value="True"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
183 <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
184 <param name="infile2" value="regression_y.tabular" ftype="tabular"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
185 <param name="col2" value="1"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
186 <param name="header2" value="True"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
187 <output name="outfile" file="feature_selection_result02"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
188 </test>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
189 <test>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
190 <param name="selected_algorithm" value="SelectPercentile"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
191 <param name="infile1" value="regression_X.tabular" ftype="tabular"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
192 <param name="header1" value="True"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
193 <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
194 <param name="infile2" value="regression_y.tabular" ftype="tabular"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
195 <param name="col2" value="1"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
196 <param name="header2" value="True"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
197 <output name="outfile" file="feature_selection_result03"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
198 </test>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
199 <test>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
200 <param name="selected_algorithm" value="SelectKBest"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
201 <param name="infile1" value="regression_X.tabular" ftype="tabular"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
202 <param name="header1" value="True"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
203 <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
204 <param name="infile2" value="regression_y.tabular" ftype="tabular"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
205 <param name="col2" value="1"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
206 <param name="header2" value="True"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
207 <output name="outfile" file="feature_selection_result04"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
208 </test>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
209 <test>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
210 <param name="selected_algorithm" value="SelectFpr"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
211 <param name="alpha" value="0.05"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
212 <param name="infile1" value="regression_X.tabular" ftype="tabular"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
213 <param name="header1" value="True"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
214 <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
215 <param name="infile2" value="regression_y.tabular" ftype="tabular"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
216 <param name="col2" value="1"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
217 <param name="header2" value="True"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
218 <output name="outfile" file="feature_selection_result05"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
219 </test>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
220 <test>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
221 <param name="selected_algorithm" value="SelectFdr"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
222 <param name="alpha" value="0.05"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
223 <param name="infile1" value="regression_X.tabular" ftype="tabular"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
224 <param name="header1" value="True"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
225 <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
226 <param name="infile2" value="regression_y.tabular" ftype="tabular"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
227 <param name="col2" value="1"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
228 <param name="header2" value="True"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
229 <output name="outfile" file="feature_selection_result06"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
230 </test>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
231 <test>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
232 <param name="selected_algorithm" value="SelectFwe"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
233 <param name="alpha" value="0.05"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
234 <param name="infile1" value="regression_X.tabular" ftype="tabular"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
235 <param name="header1" value="True"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
236 <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
237 <param name="infile2" value="regression_y.tabular" ftype="tabular"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
238 <param name="col2" value="1"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
239 <param name="header2" value="True"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
240 <output name="outfile" file="feature_selection_result07"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
241 </test>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
242 <test>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
243 <param name="selected_algorithm" value="RFE"/>
10
96f9b73327f2 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 9
diff changeset
244 <param name="input_mode" value="new"/>
96f9b73327f2 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 9
diff changeset
245 <param name="selected_module" value="ensemble"/>
96f9b73327f2 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 9
diff changeset
246 <param name="selected_estimator" value="RandomForestRegressor"/>
13
f8dfdb47508b planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit d00173591e4a783a4c1cb2664e4bb192ab5414f7
bgruening
parents: 10
diff changeset
247 <param name="text_params" value="n_estimators=10, random_state=10"/>
10
96f9b73327f2 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 9
diff changeset
248 <param name="infile1" value="regression_train.tabular" ftype="tabular"/>
96f9b73327f2 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 9
diff changeset
249 <param name="header1" value="false"/>
96f9b73327f2 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 9
diff changeset
250 <param name="col1" value="1,2,3,4,5"/>
96f9b73327f2 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 9
diff changeset
251 <param name="infile2" value="regression_train.tabular" ftype="tabular"/>
96f9b73327f2 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 9
diff changeset
252 <param name="col2" value="6"/>
96f9b73327f2 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 9
diff changeset
253 <param name="header2" value="false"/>
0
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
254 <output name="outfile" file="feature_selection_result08"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
255 </test>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
256 <test>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
257 <param name="selected_algorithm" value="RFECV"/>
10
96f9b73327f2 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 9
diff changeset
258 <param name="input_mode" value="new"/>
96f9b73327f2 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 9
diff changeset
259 <param name="selected_module" value="ensemble"/>
96f9b73327f2 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 9
diff changeset
260 <param name="selected_estimator" value="RandomForestRegressor"/>
13
f8dfdb47508b planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit d00173591e4a783a4c1cb2664e4bb192ab5414f7
bgruening
parents: 10
diff changeset
261 <param name="text_params" value="n_estimators=10, random_state=10"/>
10
96f9b73327f2 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 9
diff changeset
262 <param name="infile1" value="regression_train.tabular" ftype="tabular"/>
96f9b73327f2 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 9
diff changeset
263 <param name="header1" value="false"/>
96f9b73327f2 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 9
diff changeset
264 <param name="col1" value="1,2,3,4,5"/>
96f9b73327f2 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 9
diff changeset
265 <param name="infile2" value="regression_train.tabular" ftype="tabular"/>
96f9b73327f2 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 9
diff changeset
266 <param name="col2" value="6"/>
96f9b73327f2 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
bgruening
parents: 9
diff changeset
267 <param name="header2" value="false"/>
0
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
268 <output name="outfile" file="feature_selection_result09"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
269 </test>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
270 <test>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
271 <param name="selected_algorithm" value="VarianceThreshold"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
parents:
diff changeset
272 <param name="threshold" value="0.1"/>
092199a095dd planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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273 <param name="infile1" value="regression_X.tabular" ftype="tabular"/>
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274 <param name="header1" value="True"/>
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275 <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17"/>
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276 <param name="infile2" value="regression_y.tabular" ftype="tabular"/>
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277 <param name="col2" value="1"/>
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278 <param name="header2" value="True"/>
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279 <output name="outfile" file="feature_selection_result10"/>
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280 </test>
6
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281 <test>
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282 <param name="selected_algorithm" value="SelectKBest"/>
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283 <param name="k" value="3"/>
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284 <param name="infile1" value="test3.tabular" ftype="tabular"/>
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285 <param name="header1" value="True"/>
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286 <param name="selected_column_selector_option" value="all_but_by_header_name"/>
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287 <param name="col1" value="target"/>
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288 <param name="infile2" value="test3.tabular" ftype="tabular"/>
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289 <param name="header2" value="True"/>
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290 <param name="selected_column_selector_option2" value="by_header_name"/>
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291 <param name="col2" value="target"/>
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292 <output name="outfile" file="feature_selection_result11"/>
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293 </test>
10
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294 <test>
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295 <param name="selected_algorithm" value="SelectFromModel"/>
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296 <param name="input_mode" value="prefitted"/>
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297 <param name="fitted_estimator" value="rfr_model01" ftype="zip"/>
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298 <param name="infile1" value="regression_train.tabular" ftype="tabular"/>
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299 <param name="header1" value="false"/>
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300 <param name="col1" value="1,2,3,4,5"/>
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301 <param name="infile2" value="regression_train.tabular" ftype="tabular"/>
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302 <param name="col2" value="1"/>
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303 <param name="header2" value="false"/>
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304 <output name="outfile" file="feature_selection_result12"/>
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305 </test>
18
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306 <test>
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307 <param name="selected_algorithm" value="RFECV"/>
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308 <param name="input_mode" value="new"/>
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309 <param name="selected_module" value="ensemble"/>
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310 <param name="selected_estimator" value="RandomForestRegressor"/>
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311 <param name="text_params" value="n_estimators=10, random_state=10"/>
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312 <section name="groups_selector">
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313 <param name="infile_groups" value="regression_y.tabular" ftype="tabular"/>
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314 <param name="header_g" value="true"/>
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315 <param name="selected_column_selector_option_g" value="by_index_number"/>
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316 <param name="col_g" value="1"/>
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317 </section>
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318 <param name="selected_cv" value="GroupShuffleSplit"/>
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319 <param name="random_state" value="0"/>
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320 <param name="infile1" value="regression_X.tabular" ftype="tabular"/>
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321 <param name="header1" value="true"/>
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322 <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17"/>
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323 <param name="infile2" value="regression_y.tabular" ftype="tabular"/>
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324 <param name="col2" value="1"/>
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325 <param name="header2" value="true"/>
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326 <output name="outfile" file="feature_selection_result13"/>
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327 </test>
0
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328 </tests>
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329 <help>
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330 <![CDATA[
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331 **What it does**
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332 This tool provides several loss, score, and utility functions to measure classification performance. Some metrics might require probability estimates of the positive class, confidence values, or binary decisions values. This tool is based on
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333 sklearn.metrics package.
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334 For information about classification metric functions and their parameter settings please refer to `Scikit-learn classification metrics`_.
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335
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336 .. _`Scikit-learn classification metrics`: http://scikit-learn.org/stable/modules/model_evaluation.html#classification-metrics
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337 ]]>
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338 </help>
14
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339 <expand macro="sklearn_citation">
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340 <expand macro="skrebate_citation"/>
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341 <expand macro="xgboost_citation"/>
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342 </expand>
0
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343 </tool>