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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
author bgruening
date Tue, 22 May 2018 19:33:14 -0400
parents 333507faecab
children dd502cb0d567
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333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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1 <tool id="sklearn_model_validation" name="Model Validation" version="@VERSION@">
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2 <description>evaluates estimator performance by cross-validation</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 "$sklearn_model_validation_script" '$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="sklearn_model_validation_script">
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17 <![CDATA[
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18 import sys
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19 import json
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20 import pandas
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21 import pickle
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22 import numpy as np
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23 import sklearn.model_selection
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24 from sklearn import svm, linear_model, ensemble
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25
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26 @COLUMNS_FUNCTION@
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27
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28 input_json_path = sys.argv[1]
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29 params = json.load(open(input_json_path, "r"))
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30
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31 input_type = params["input_options"]["selected_input"]
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32 if input_type=="tabular":
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33 header = 'infer' if params["input_options"]["header1"] else None
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34 X = read_columns(
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35 "$input_options.infile1",
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36 "$input_options.col1",
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37 sep='\t',
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38 header=header,
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39 parse_dates=True
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40 )
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41 else:
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42 X = mmread(open("$input_options.infile1", 'r'))
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43
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44 header = 'infer' if params["input_options"]["header2"] else None
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45 y = read_columns(
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46 "$input_options.infile2",
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47 "$input_options.col2",
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48 sep='\t',
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49 header=header,
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50 parse_dates=True
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51 )
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52 y=y.ravel()
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53
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54 validator = params["model_validation_functions"]["selected_function"]
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55 validator = getattr(sklearn.model_selection, validator)
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56 options = params["model_validation_functions"]["options"]
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57 if 'scoring' in options and options['scoring'] == '':
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58 options['scoring'] = None
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59
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60 estimator=params["model_validation_functions"]["estimator"]
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61 if params["model_validation_functions"]["extra_estimator"]["has_estimator"] == 'no':
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62 estimator = params["model_validation_functions"]["extra_estimator"]["new_estimator"]
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63 estimator = eval(estimator.replace('__dq__', '"').replace("__sq__","'"))
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64
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65 #if $model_validation_functions.selected_function == 'cross_validate':
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66 res = validator(estimator, X, y, **options)
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67 rval = res["$model_validation_functions.return_type"]
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68
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69 #elif $model_validation_functions.selected_function == 'learning_curve':
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70 options['train_sizes'] = eval(options['train_sizes'])
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71 train_sizes_abs, train_scores, test_scores = validator(estimator, X, y, **options)
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72 rval = eval("$model_validation_functions.return_type")
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73
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74 #elif $model_validation_functions.selected_function == 'permutation_test_score':
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75 score, permutation_scores, pvalue = validator(estimator, X, y, **options)
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76 rval = eval("$model_validation_functions.return_type")
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77 if "$model_validation_functions.return_type" in ["score", "pvalue"]:
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78 rval = [rval]
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79
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80 #elif $model_validation_functions.selected_function == 'validation_curve':
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81 options['param_range'] = eval(options['param_range'])
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82 train_scores, test_scores = validator(estimator, X, y, **options)
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83 rval = eval("$model_validation_functions.return_type")
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84
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85 #else:
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86 rval = validator(estimator, X, y, **options)
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87 #end if
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88
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89 rval = pandas.DataFrame(rval)
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
90 rval.to_csv(path_or_buf="$outfile", sep='\t', header=False, index=False)
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
91
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
92 ]]>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
93 </configfile>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
94 </configfiles>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
95 <inputs>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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diff changeset
96 <conditional name="model_validation_functions">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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97 <param name="selected_function" type="select" label="Select a model validation function">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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diff changeset
98 <option value="cross_validate">cross_validate - Evaluate metric(s) by cross-validation and also record fit/score times</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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diff changeset
99 <option value="cross_val_predict">cross_val_predict - Generate cross-validated estimates for each input data point</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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100 <option value="cross_val_score">cross_val_score - Evaluate a score by cross-validation</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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101 <option value="learning_curve">learning_curve - Learning curve</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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102 <option value="permutation_test_score">permutation_test_score - Evaluate the significance of a cross-validated score with permutations</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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103 <option value="validation_curve">validation_curve - Validation curve</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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104 </param>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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105 <when value="cross_validate">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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106 <expand macro="feature_selection_estimator" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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107 <conditional name="extra_estimator">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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108 <expand macro="feature_selection_extra_estimator" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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109 <expand macro="feature_selection_estimator_choices" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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110 </conditional>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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111 <section name="options" title="Other Options" expanded="false">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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112 <!--groups-->
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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113 <expand macro="model_validation_common_options"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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114 <expand macro="scoring"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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115 <!--fit_params-->
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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116 <expand macro="pre_dispatch"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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117 </section>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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118 <param name="return_type" type="select" label="Select a return type">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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119 <option value="test_score" selected="true">test_score</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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120 <option value="train_score">train_score</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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121 <option value="fit_time">fit_time</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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122 <option value="score_time">score_time</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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123 </param>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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124 </when>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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125 <when value="cross_val_predict">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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126 <expand macro="feature_selection_estimator" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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127 <conditional name="extra_estimator">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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128 <expand macro="feature_selection_extra_estimator" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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129 <expand macro="feature_selection_estimator_choices" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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130 </conditional>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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131 <section name="options" title="Other Options" expanded="false">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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132 <!--groups-->
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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133 <param argument="cv" type="integer" value="" optional="true" label="cv" help="The number of folds in a (Stratified)KFold" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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134 <expand macro="n_jobs"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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135 <expand macro="verbose"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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diff changeset
136 <!--fit_params-->
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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137 <param argument="pre_dispatch" type="integer" value="" optional="true" label="pre_dispatch" help="Controls the number of jobs that get dispatched during parallel execution" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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138 <param argument="method" type="select" label="Invokes the passed method name of the passed estimator">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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139 <option value="predict" selected="true">predict</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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140 <option value="predict_proba">predict_proba</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
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141 </param>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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142 </section>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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143 </when>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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144 <when value="cross_val_score">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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145 <expand macro="feature_selection_estimator" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
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146 <conditional name="extra_estimator">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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147 <expand macro="feature_selection_extra_estimator" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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148 <expand macro="feature_selection_estimator_choices" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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149 </conditional>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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150 <section name="options" title="Other Options" expanded="false">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
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151 <!--groups-->
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
152 <expand macro="model_validation_common_options"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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153 <expand macro="scoring"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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154 <!--fit_params-->
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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parents:
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155 <expand macro="pre_dispatch"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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156 </section>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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157 </when>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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158 <when value="learning_curve">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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159 <expand macro="feature_selection_estimator" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
160 <conditional name="extra_estimator">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
161 <expand macro="feature_selection_extra_estimator" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
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162 <expand macro="feature_selection_estimator_choices" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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163 </conditional>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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164 <section name="options" title="Other Options" expanded="false">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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165 <!--groups-->
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
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166 <expand macro="model_validation_common_options"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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167 <param argument="train_sizes" type="text" value="np.linspace(0.1, 1.0, 5)" label="train_sizes" help="Relative or absolute numbers of training examples that will be used to generate the learning curve"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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168 <expand macro="scoring"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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169 <param argument="exploit_incremental_learning" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="false" label="exploit_incremental_learning" help="Whether to apply incremental learning to speed up fitting of the estimator if supported"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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170 <expand macro="pre_dispatch"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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171 <expand macro="shuffle" checked="false" label="shuffle" help="Whether to shuffle training data before taking prefixes"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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172 <expand macro="random_state"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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173 </section>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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174 <param name="return_type" type="select" label="Select a return type">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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175 <option value="train_sizes_abs" selected="true">train_sizes_abs</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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176 <option value="train_scores">train_scores</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
177 <option value="test_scores">test_scores</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
178 </param>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
179 </when>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
180 <when value="permutation_test_score">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
181 <expand macro="feature_selection_estimator" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
182 <conditional name="extra_estimator">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
183 <expand macro="feature_selection_extra_estimator" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
184 <expand macro="feature_selection_estimator_choices" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
185 </conditional>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
186 <section name="options" title="Other Options" expanded="false">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
187 <!--groups-->
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
188 <expand macro="model_validation_common_options"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
189 <expand macro="scoring"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
190 <param name="n_permutations" type="integer" value="100" optional="true" label="n_permutations" help="Number of times to permute y"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
191 <expand macro="random_state"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
192 </section>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
193 <param name="return_type" type="select" label="Select a return type">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
194 <option value="score" selected="true">score</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
195 <option value="permutation_scores">permutation_scores</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
196 <option value="pvalue">pvalue</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
197 </param>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
198 </when>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
199 <when value="validation_curve">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
200 <expand macro="feature_selection_estimator" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
201 <conditional name="extra_estimator">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
202 <expand macro="feature_selection_extra_estimator" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
203 <expand macro="feature_selection_estimator_choices" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
204 </conditional>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
205 <section name="options" title="Other Options" expanded="false">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
206 <param name="param_name" type="text" value="gamma" label="param_name" help="Name of the parameter that will be varied"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
207 <param name="param_range" type="text" value="np.logspace(-6, -1, 5)" label="param_range" help="The values of the parameter that will be evaluated."/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
208 <!--groups-->
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
209 <expand macro="model_validation_common_options"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
210 <expand macro="scoring"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
211 <expand macro="pre_dispatch"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
212 </section>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
213 <param name="return_type" type="select" label="Select a return type">
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
214 <option value="train_scores" selected="true">train_scores</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
215 <option value="test_scores">test_scores</option>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
216 </param>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
217 </when>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
218 </conditional>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
219 <expand macro="sl_mixed_input"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
220 </inputs>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
221 <outputs>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
222 <data format="tabular" name="outfile"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
223 </outputs>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
224 <tests>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
225 <test>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
226 <param name="selected_function" value="cross_validate"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
227 <param name="estimator" value="linear_model.LassoCV()"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
228 <param name="has_estimator" value="yes"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
229 <param name="infile1" value="regression_train.tabular" ftype="tabular"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
230 <param name="col1" value="1,2,3,4,5"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
231 <param name="infile2" value="regression_train.tabular" ftype="tabular"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
232 <param name="col2" value="6"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
233 <output name="outfile" file="mv_result01.tabular"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
234 </test>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
235 <test>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
236 <param name="selected_function" value="cross_val_predict"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
237 <param name="estimator" value="linear_model.LassoCV()"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
238 <param name="has_estimator" value="yes"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
239 <param name="infile1" value="regression_train.tabular" ftype="tabular"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
240 <param name="col1" value="1,2,3,4,5"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
241 <param name="infile2" value="regression_train.tabular" ftype="tabular"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
242 <param name="col2" value="6"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
243 <output name="outfile" file="mv_result02.tabular"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
244 </test>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
245 <test>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
246 <param name="selected_function" value="cross_val_score"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
247 <param name="estimator" value="linear_model.LassoCV()"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
248 <param name="has_estimator" value="yes"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
249 <param name="infile1" value="regression_train.tabular" ftype="tabular"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
250 <param name="col1" value="1,2,3,4,5"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
251 <param name="infile2" value="regression_train.tabular" ftype="tabular"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
252 <param name="col2" value="6"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
253 <output name="outfile" file="mv_result03.tabular"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
254 </test>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
255 <test>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
256 <param name="selected_function" value="learning_curve"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
257 <param name="estimator" value="linear_model.LassoCV()"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
258 <param name="has_estimator" value="yes"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
259 <param name="infile1" value="regression_X.tabular" ftype="tabular"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
260 <param name="header1" value="true" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
261 <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
262 <param name="infile2" value="regression_y.tabular" ftype="tabular"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
263 <param name="header2" value="true" />
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
bgruening
parents:
diff changeset
264 <param name="col2" value="1"/>
333507faecab planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
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265 <output name="outfile" file="mv_result04.tabular"/>
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266 </test>
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267 <test>
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268 <param name="selected_function" value="permutation_test_score"/>
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269 <param name="estimator" value="linear_model.LassoCV()"/>
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270 <param name="has_estimator" value="yes"/>
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271 <param name="infile1" value="regression_train.tabular" ftype="tabular"/>
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272 <param name="col1" value="1,2,3,4,5"/>
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273 <param name="infile2" value="regression_train.tabular" ftype="tabular"/>
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274 <param name="col2" value="6"/>
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275 <output name="outfile" file="mv_result05.tabular"/>
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276 </test>
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277 <test>
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278 <param name="selected_function" value="validation_curve"/>
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279 <param name="estimator" value="svm.SVC(kernel=&quot;linear&quot;)"/>
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280 <param name="has_estimator" value="yes"/>
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281 <param name="infile1" value="regression_X.tabular" ftype="tabular"/>
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282 <param name="header1" value="true" />
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283 <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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284 <param name="infile2" value="regression_y.tabular" ftype="tabular"/>
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285 <param name="header2" value="true" />
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286 <param name="col2" value="1"/>
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287 <param name="return_type" value="test_scores"/>
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288 <output name="outfile" file="mv_result06.tabular"/>
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289 </test>
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290 </tests>
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291 <help>
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292 <![CDATA[
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293 **What it does**
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294 This tool includes model validation functions to evaluate estimator performance in the cross-validation approach. This tool is based on
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295 sklearn.model_selection package.
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296 For information about classification metric functions and their parameter settings please refer to `Scikit-learn classification metrics`_.
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297
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298 .. _`Scikit-learn classification metrics`: http://scikit-learn.org/stable/modules/model_evaluation.html#classification-metrics
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299 ]]>
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300 </help>
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301 <expand macro="sklearn_citation"/>
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302 </tool>