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annotate feature_selection.xml @ 15:3232ad8fee41 draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2a058459e6daf0486871f93845f00fdb4a4eaca1
author bgruening
date Sat, 29 Sep 2018 07:19:58 -0400
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children cc5b841f040b
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1 <tool id="sklearn_feature_selection" name="Feature Selection" version="@VERSION@.1">
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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 <expand macro="macro_stdio"/>
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8 <version_command>echo "@VERSION@"</version_command>
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9 <command>
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10 <![CDATA[
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11 python "$feature_selection_script" '$inputs'
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12 ]]>
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13 </command>
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14 <configfiles>
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15 <inputs name="inputs" />
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16 <configfile name="feature_selection_script">
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17 <![CDATA[
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18 import sys
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19 import os
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20 import json
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21 import pandas
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22 import sklearn.feature_selection
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23
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24 with open("$__tool_directory__/sk_whitelist.json", "r") as f:
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25 sk_whitelist = json.load(f)
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26 exec(open("$__tool_directory__/utils.py").read(), globals())
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28 safe_eval = SafeEval()
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29
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30 input_json_path = sys.argv[1]
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31 with open(input_json_path, "r") as param_handler:
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32 params = json.load(param_handler)
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34 #handle cheetah
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35 #if $fs_algorithm_selector.selected_algorithm == "SelectFromModel"\
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36 and $fs_algorithm_selector.model_inputter.input_mode == "prefitted":
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37 params['fs_algorithm_selector']['model_inputter']['fitted_estimator'] =\
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38 "$fs_algorithm_selector.model_inputter.fitted_estimator"
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39 #end if
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41 # Read features
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42 features_has_header = params["input_options"]["header1"]
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43 input_type = params["input_options"]["selected_input"]
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44 if input_type=="tabular":
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45 header = 'infer' if features_has_header else None
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46 column_option = params["input_options"]["column_selector_options_1"]["selected_column_selector_option"]
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47 if column_option in ["by_index_number", "all_but_by_index_number", "by_header_name", "all_but_by_header_name"]:
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48 c = params["input_options"]["column_selector_options_1"]["col1"]
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49 else:
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50 c = None
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51 X, input_df = read_columns(
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52 "$input_options.infile1",
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53 c = c,
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54 c_option = column_option,
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55 return_df = True,
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56 sep='\t',
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57 header=header,
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58 parse_dates=True
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59 )
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60 else:
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61 X = mmread("$input_options.infile1")
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62
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63 # Read labels
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64 header = 'infer' if params["input_options"]["header2"] else None
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65 column_option = params["input_options"]["column_selector_options_2"]["selected_column_selector_option2"]
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66 if column_option in ["by_index_number", "all_but_by_index_number", "by_header_name", "all_but_by_header_name"]:
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67 c = params["input_options"]["column_selector_options_2"]["col2"]
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68 else:
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69 c = None
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70 y = read_columns(
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71 "$input_options.infile2",
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72 c = c,
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73 c_option = column_option,
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74 sep='\t',
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75 header=header,
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76 parse_dates=True
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77 )
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78 y=y.ravel()
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79
10
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80 # Create feature selector
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81 new_selector = feature_selector(params['fs_algorithm_selector'])
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82 if params['fs_algorithm_selector']['selected_algorithm'] != 'SelectFromModel'\
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83 or params['fs_algorithm_selector']['model_inputter']['input_mode'] != 'prefitted' :
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84 new_selector.fit(X, y)
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85
2
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86 ## Transform to select features
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87 selected_names = None
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88 if "$output_method_selector.selected_method" == "fit_transform":
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89 res = new_selector.transform(X)
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90 if features_has_header:
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91 selected_names = input_df.columns[new_selector.get_support(indices=True)]
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92 else:
10
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93 res = new_selector.get_support(params["output_method_selector"]["indices"])
0
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94
2
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95 res = pandas.DataFrame(res, columns = selected_names)
0
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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96 res.to_csv(path_or_buf="$outfile", sep='\t', index=False)
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97
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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98
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99 ]]>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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100 </configfile>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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101 </configfiles>
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102 <inputs>
10
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103 <expand macro="feature_selection_all">
d00e89558c18 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
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104 <expand macro="fs_selectfrommodel_prefitted"/>
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105 </expand>
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106 <expand macro="feature_selection_output_mothods" />
0
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107 <expand macro="sl_mixed_input"/>
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108 </inputs>
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109 <outputs>
2
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110 <data format="tabular" name="outfile"/>
0
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111 </outputs>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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112 <tests>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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113 <test>
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114 <param name="selected_algorithm" value="SelectFromModel"/>
10
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115 <param name="input_mode" value="new"/>
d00e89558c18 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
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116 <param name="selected_module" value="ensemble"/>
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117 <param name="selected_estimator" value="RandomForestRegressor"/>
13
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118 <param name="text_params" value="n_estimators=10, random_state=10"/>
10
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119 <param name="infile1" value="regression_train.tabular" ftype="tabular"/>
d00e89558c18 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
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120 <param name="header1" value="false"/>
d00e89558c18 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
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121 <param name="col1" value="1,2,3,4,5"/>
d00e89558c18 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
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122 <param name="infile2" value="regression_train.tabular" ftype="tabular"/>
d00e89558c18 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
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123 <param name="col2" value="6"/>
d00e89558c18 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 76583c1fcd9d06a4679cc46ffaee44117b9e22cd
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124 <param name="header2" value="false"/>
0
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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125 <output name="outfile" file="feature_selection_result01"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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126 </test>
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127 <test>
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128 <param name="selected_algorithm" value="GenericUnivariateSelect"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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129 <param name="param" value="20"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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130 <param name="infile1" value="regression_X.tabular" ftype="tabular"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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131 <param name="header1" value="True"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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132 <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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133 <param name="infile2" value="regression_y.tabular" ftype="tabular"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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134 <param name="col2" value="1"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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135 <param name="header2" value="True"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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136 <output name="outfile" file="feature_selection_result02"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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137 </test>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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138 <test>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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139 <param name="selected_algorithm" value="SelectPercentile"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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140 <param name="infile1" value="regression_X.tabular" ftype="tabular"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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141 <param name="header1" value="True"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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diff changeset
142 <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
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diff changeset
143 <param name="infile2" value="regression_y.tabular" ftype="tabular"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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diff changeset
144 <param name="col2" value="1"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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145 <param name="header2" value="True"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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146 <output name="outfile" file="feature_selection_result03"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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147 </test>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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148 <test>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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149 <param name="selected_algorithm" value="SelectKBest"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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150 <param name="infile1" value="regression_X.tabular" ftype="tabular"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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diff changeset
151 <param name="header1" value="True"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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diff changeset
152 <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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153 <param name="infile2" value="regression_y.tabular" ftype="tabular"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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154 <param name="col2" value="1"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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155 <param name="header2" value="True"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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156 <output name="outfile" file="feature_selection_result04"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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157 </test>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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158 <test>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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159 <param name="selected_algorithm" value="SelectFpr"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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160 <param name="alpha" value="0.05"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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diff changeset
161 <param name="infile1" value="regression_X.tabular" ftype="tabular"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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diff changeset
162 <param name="header1" value="True"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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163 <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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164 <param name="infile2" value="regression_y.tabular" ftype="tabular"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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165 <param name="col2" value="1"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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diff changeset
166 <param name="header2" value="True"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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167 <output name="outfile" file="feature_selection_result05"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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168 </test>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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169 <test>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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170 <param name="selected_algorithm" value="SelectFdr"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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171 <param name="alpha" value="0.05"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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172 <param name="infile1" value="regression_X.tabular" ftype="tabular"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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173 <param name="header1" value="True"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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174 <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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175 <param name="infile2" value="regression_y.tabular" ftype="tabular"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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176 <param name="col2" value="1"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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177 <param name="header2" value="True"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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178 <output name="outfile" file="feature_selection_result06"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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179 </test>
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180 <test>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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181 <param name="selected_algorithm" value="SelectFwe"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
bgruening
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diff changeset
182 <param name="alpha" value="0.05"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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183 <param name="infile1" value="regression_X.tabular" ftype="tabular"/>
2bbacfaadb5c planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254
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184 <param name="header1" value="True"/>
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185 <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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186 <param name="infile2" value="regression_y.tabular" ftype="tabular"/>
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187 <param name="col2" value="1"/>
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188 <param name="header2" value="True"/>
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189 <output name="outfile" file="feature_selection_result07"/>
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190 </test>
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191 <test>
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192 <param name="selected_algorithm" value="RFE"/>
10
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193 <param name="input_mode" value="new"/>
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194 <param name="selected_module" value="ensemble"/>
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195 <param name="selected_estimator" value="RandomForestRegressor"/>
13
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196 <param name="text_params" value="n_estimators=10, random_state=10"/>
10
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197 <param name="infile1" value="regression_train.tabular" ftype="tabular"/>
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198 <param name="header1" value="false"/>
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199 <param name="col1" value="1,2,3,4,5"/>
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200 <param name="infile2" value="regression_train.tabular" ftype="tabular"/>
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201 <param name="col2" value="6"/>
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202 <param name="header2" value="false"/>
0
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203 <output name="outfile" file="feature_selection_result08"/>
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204 </test>
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205 <test>
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206 <param name="selected_algorithm" value="RFECV"/>
10
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207 <param name="input_mode" value="new"/>
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208 <param name="selected_module" value="ensemble"/>
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209 <param name="selected_estimator" value="RandomForestRegressor"/>
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210 <param name="text_params" value="n_estimators=10, random_state=10"/>
10
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211 <param name="infile1" value="regression_train.tabular" ftype="tabular"/>
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212 <param name="header1" value="false"/>
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213 <param name="col1" value="1,2,3,4,5"/>
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214 <param name="infile2" value="regression_train.tabular" ftype="tabular"/>
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215 <param name="col2" value="6"/>
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216 <param name="header2" value="false"/>
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217 <output name="outfile" file="feature_selection_result09"/>
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218 </test>
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219 <test>
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220 <param name="selected_algorithm" value="VarianceThreshold"/>
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221 <param name="threshold" value="0.1"/>
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222 <param name="infile1" value="regression_X.tabular" ftype="tabular"/>
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223 <param name="header1" value="True"/>
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224 <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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225 <param name="infile2" value="regression_y.tabular" ftype="tabular"/>
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226 <param name="col2" value="1"/>
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227 <param name="header2" value="True"/>
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228 <output name="outfile" file="feature_selection_result10"/>
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229 </test>
6
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230 <test>
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231 <param name="selected_algorithm" value="SelectKBest"/>
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232 <param name="k" value="3"/>
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233 <param name="infile1" value="test3.tabular" ftype="tabular"/>
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234 <param name="header1" value="True"/>
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235 <param name="selected_column_selector_option" value="all_but_by_header_name"/>
dc574d9778bd planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit cd4a8b019168acd5a513c57a1b1f380622f230f6
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236 <param name="col1" value="target"/>
dc574d9778bd planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit cd4a8b019168acd5a513c57a1b1f380622f230f6
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237 <param name="infile2" value="test3.tabular" ftype="tabular"/>
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238 <param name="header2" value="True"/>
dc574d9778bd planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit cd4a8b019168acd5a513c57a1b1f380622f230f6
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239 <param name="selected_column_selector_option2" value="by_header_name"/>
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240 <param name="col2" value="target"/>
dc574d9778bd planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit cd4a8b019168acd5a513c57a1b1f380622f230f6
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241 <output name="outfile" file="feature_selection_result11"/>
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242 </test>
10
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243 <test>
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244 <param name="selected_algorithm" value="SelectFromModel"/>
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245 <param name="input_mode" value="prefitted"/>
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246 <param name="fitted_estimator" value="rfr_model01" ftype="zip"/>
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247 <param name="infile1" value="regression_train.tabular" ftype="tabular"/>
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248 <param name="header1" value="false"/>
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249 <param name="col1" value="1,2,3,4,5"/>
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250 <param name="infile2" value="regression_train.tabular" ftype="tabular"/>
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251 <param name="col2" value="1"/>
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252 <param name="header2" value="false"/>
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253 <output name="outfile" file="feature_selection_result12"/>
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254 </test>
0
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255 </tests>
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256 <help>
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257 <![CDATA[
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258 **What it does**
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259 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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260 sklearn.metrics package.
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261 For information about classification metric functions and their parameter settings please refer to `Scikit-learn classification metrics`_.
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262
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263 .. _`Scikit-learn classification metrics`: http://scikit-learn.org/stable/modules/model_evaluation.html#classification-metrics
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264 ]]>
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265 </help>
14
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266 <expand macro="sklearn_citation">
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267 <expand macro="skrebate_citation"/>
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268 <expand macro="xgboost_citation"/>
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269 </expand>
0
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270 </tool>