# HG changeset patch # User q2d2 # Date 1661804642 0 # Node ID 3cb910b16f4618ea3e598f86394ae83cecd9a045 planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit 9023cfd83495a517fbcbb6f91d5b01a6f1afcda1 diff -r 000000000000 -r 3cb910b16f46 qiime2__sample_classifier__confusion_matrix.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/qiime2__sample_classifier__confusion_matrix.xml Mon Aug 29 20:24:02 2022 +0000 @@ -0,0 +1,156 @@ + + + + + Make a confusion matrix from sample classifier predictions. + + quay.io/qiime2/core:2022.8 + + q2galaxy version sample_classifier + q2galaxy run sample_classifier confusion_matrix '$inputs' + + + + + + + + + hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['SampleData[ClassifierPredictions]'] + + + + + + + + + + value != "1" + + + + + + + + + +
+ + + + + hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['SampleData[Probabilities]'] + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+ + + + + +QIIME 2: sample-classifier confusion-matrix +=========================================== +Make a confusion matrix from sample classifier predictions. + + +Outputs: +-------- +:visualization.qzv: <no description> + +| + +Description: +------------ +Make a confusion matrix and calculate accuracy of predicted vs. true values for a set of samples classified using a sample classifier. If per-sample class probabilities are provided, will also generate Receiver Operating Characteristic curves and calculate area under the curve for each class. + + +| + + + + 10.21105/joss.00934 + @article{cite2, + author = {Pedregosa, Fabian and Varoquaux, Gaël and Gramfort, Alexandre and Michel, Vincent and Thirion, Bertrand and Grisel, Olivier and Blondel, Mathieu and Prettenhofer, Peter and Weiss, Ron and Dubourg, Vincent and Vanderplas, Jake and Passos, Alexandre and Cournapeau, David and Brucher, Matthieu and Perrot, Matthieu and Duchesnay, Édouard}, + journal = {Journal of machine learning research}, + number = {Oct}, + pages = {2825--2830}, + title = {Scikit-learn: Machine learning in Python}, + volume = {12}, + year = {2011} +} + + 10.1038/s41587-019-0209-9 + +
diff -r 000000000000 -r 3cb910b16f46 test-data/.gitkeep