Mercurial > repos > bgruening > sklearn_clf_metrics
comparison clf_metrics.xml @ 41:e3c787437a6d draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
author | bgruening |
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date | Wed, 09 Aug 2023 13:46:39 +0000 |
parents | a7067bbf1e58 |
children |
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40:0ee984c1cbd6 | 41:e3c787437a6d |
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75 <option value="accuracy_score" selected="true">Accuracy classification score</option> | 75 <option value="accuracy_score" selected="true">Accuracy classification score</option> |
76 <option value="classification_report">Text report of the main classification metrics</option> | 76 <option value="classification_report">Text report of the main classification metrics</option> |
77 <option value="f1_score">F1 score (aka balanced F-score or F-measure)</option> | 77 <option value="f1_score">F1 score (aka balanced F-score or F-measure)</option> |
78 <option value="fbeta_score">F-beta score</option> | 78 <option value="fbeta_score">F-beta score</option> |
79 <option value="hamming_loss">Average Hamming loss</option> | 79 <option value="hamming_loss">Average Hamming loss</option> |
80 <option value="jaccard_similarity_score">Jaccard similarity coefficient score</option> | 80 <option value="jaccard_score">Jaccard similarity coefficient score</option> |
81 <option value="precision_recall_fscore_support">Compute precision, recall, F-measure and support for each class</option> | 81 <option value="precision_recall_fscore_support">Compute precision, recall, F-measure and support for each class</option> |
82 <option value="precision_score">Precision</option> | 82 <option value="precision_score">Precision</option> |
83 <option value="recall_score">Recall</option> | 83 <option value="recall_score">Recall</option> |
84 <option value="zero_one_loss">Zero-one classification loss</option> | 84 <option value="zero_one_loss">Zero-one classification loss</option> |
85 <option value="auc">Area under the curve (AUC)</option> | 85 <option value="auc">Area under the curve (AUC)</option> |
136 <expand macro="clf_inputs" /> | 136 <expand macro="clf_inputs" /> |
137 <!--section name="options" title="Advanced Options" expanded="False"> | 137 <!--section name="options" title="Advanced Options" expanded="False"> |
138 <!- -classes- -> | 138 <!- -classes- -> |
139 </section--> | 139 </section--> |
140 </when> | 140 </when> |
141 <when value="jaccard_similarity_score"> | 141 <when value="jaccard_score"> |
142 <expand macro="clf_inputs" /> | 142 <expand macro="clf_inputs" /> |
143 <section name="options" title="Advanced Options" expanded="False"> | 143 <section name="options" title="Advanced Options" expanded="False"> |
144 <param argument="normalize" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolflase" checked="true" label="Normalize" help="If false, returns the sum of the Jaccard similarity coefficient over the sample set. Otherwise, returns the average of Jaccard similarity coefficient. " /> | 144 <expand macro="average"> |
145 </expand> | |
145 </section> | 146 </section> |
146 </when> | 147 </when> |
147 <when value="precision_recall_fscore_support"> | 148 <when value="precision_recall_fscore_support"> |
148 <expand macro="clf_inputs" /> | 149 <expand macro="clf_inputs" /> |
149 <section name="options" title="Advanced Options" expanded="False"> | 150 <section name="options" title="Advanced Options" expanded="False"> |
186 <param argument="normalize" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolflase" checked="true" label="Normalize" help="If false, returns the number of misclassifications. Otherwise, returns the fraction of misclassifications. " /> | 187 <param argument="normalize" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolflase" checked="true" label="Normalize" help="If false, returns the number of misclassifications. Otherwise, returns the fraction of misclassifications. " /> |
187 </section> | 188 </section> |
188 </when> | 189 </when> |
189 <when value="auc"> | 190 <when value="auc"> |
190 <expand macro="clf_inputs" /> | 191 <expand macro="clf_inputs" /> |
191 <section name="options" title="Advanced Options" expanded="False"> | |
192 <param argument="reorder" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolflase" checked="false" label="Assume an ascending curve in the case of ties" help="If the curve is non-ascending, the result will be wrong. " /> | |
193 </section> | |
194 </when> | 192 </when> |
195 <when value="brier_score_loss"> | 193 <when value="brier_score_loss"> |
196 <expand macro="clf_inputs" /> | 194 <expand macro="clf_inputs" /> |
197 <section name="options" title="Advanced Options" expanded="False"> | 195 <section name="options" title="Advanced Options" expanded="False"> |
198 <!--weights--> | 196 <!--weights--> |
300 <param name="infile2" value="y.tabular" ftype="tabular" /> | 298 <param name="infile2" value="y.tabular" ftype="tabular" /> |
301 <param name="col2" value="2" /> | 299 <param name="col2" value="2" /> |
302 <output name="outfile" file="hamming_loss.txt" /> | 300 <output name="outfile" file="hamming_loss.txt" /> |
303 </test> | 301 </test> |
304 <test> | 302 <test> |
305 <param name="selected_metric" value="jaccard_similarity_score" /> | 303 <param name="selected_metric" value="jaccard_score" /> |
306 <param name="infile1" value="y.tabular" ftype="tabular" /> | 304 <param name="infile1" value="y.tabular" ftype="tabular" /> |
307 <param name="col1" value="1" /> | 305 <param name="col1" value="1" /> |
308 <param name="infile2" value="y.tabular" ftype="tabular" /> | 306 <param name="infile2" value="y.tabular" ftype="tabular" /> |
309 <param name="col2" value="2" /> | 307 <param name="col2" value="2" /> |
308 <param name="average" value="weighted" /> | |
310 <output name="outfile" file="jaccard_similarity_score.txt" /> | 309 <output name="outfile" file="jaccard_similarity_score.txt" /> |
311 </test> | 310 </test> |
312 <test> | 311 <test> |
313 <param name="selected_metric" value="precision_recall_fscore_support" /> | 312 <param name="selected_metric" value="precision_recall_fscore_support" /> |
314 <param name="infile1" value="y.tabular" ftype="tabular" /> | 313 <param name="infile1" value="y.tabular" ftype="tabular" /> |
344 <param name="col2" value="2" /> | 343 <param name="col2" value="2" /> |
345 <output name="outfile" file="zero_one_loss.txt" /> | 344 <output name="outfile" file="zero_one_loss.txt" /> |
346 </test> | 345 </test> |
347 <test> | 346 <test> |
348 <param name="selected_metric" value="auc" /> | 347 <param name="selected_metric" value="auc" /> |
349 <param name="infile1" value="y.tabular" ftype="tabular" /> | 348 <param name="infile1" value="y_sorted.tabular" ftype="tabular" /> |
350 <param name="col1" value="1" /> | 349 <param name="col1" value="1" /> |
351 <param name="infile2" value="y.tabular" ftype="tabular" /> | 350 <param name="infile2" value="y_sorted.tabular" ftype="tabular" /> |
352 <param name="col2" value="2" /> | 351 <param name="col2" value="2" /> |
353 <param name="reorder" value="true" /> | |
354 <output name="outfile" file="auc.txt" /> | 352 <output name="outfile" file="auc.txt" /> |
355 </test> | 353 </test> |
356 <test> | 354 <test> |
357 <param name="selected_metric" value="brier_score_loss" /> | 355 <param name="selected_metric" value="brier_score_loss" /> |
358 <param name="infile1" value="y.tabular" ftype="tabular" /> | 356 <param name="infile1" value="y.tabular" ftype="tabular" /> |