Mercurial > repos > goeckslab > multimodal_learner
diff multimodal_learner.xml @ 12:dbf05afb8e6c draft default tip
planemo upload for repository https://github.com/goeckslab/gleam.git commit f84ea3cb29d6cd8f9e50df78048f71d9274efc47
| author | goeckslab |
|---|---|
| date | Wed, 11 Mar 2026 20:55:56 +0000 |
| parents | 499a039871d0 |
| children |
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--- a/multimodal_learner.xml Thu Feb 26 17:11:59 2026 +0000 +++ b/multimodal_learner.xml Wed Mar 11 20:55:56 2026 +0000 @@ -1,4 +1,4 @@ -<tool id="multimodal_learner" name="Multimodal Learner" version="0.1.7" profile="22.01"> +<tool id="multimodal_learner" name="Multimodal Learner" version="0.1.8" profile="22.01"> <description>Train and evaluate an AutoGluon Multimodal model (tabular + image + text)</description> <requirements> @@ -318,11 +318,11 @@ <data name="output_json" format="json" label="Multimodal Learner metric results on data ${on_string}"/> </outputs> - <tests> - <!-- Basic run with images + external test set --> - <test expect_num_outputs="3"> - <param name="input_csv" value="train.csv"/> - <param name="target_column" value="7"/> + <tests> + <!-- Basic run with images + external test set --> + <test expect_num_outputs="3"> + <param name="input_csv" value="train.csv"/> + <param name="target_column" value="7"/> <param name="test_dataset_conditional|has_test_dataset" value="yes"/> <param name="test_dataset_conditional|input_test" value="test.csv"/> <param name="use_images_conditional|use_images" value="yes"/> @@ -332,14 +332,14 @@ <output name="output_html"> <assert_contents> <has_text text="Model Performance Summary"/> - </assert_contents> - </output> - </test> + </assert_contents> + </output> + </test> - <!-- Custom threshold --> - <test expect_num_outputs="3"> - <param name="input_csv" value="train.csv"/> - <param name="target_column" value="7"/> + <!-- Custom threshold --> + <test expect_num_outputs="3"> + <param name="input_csv" value="train.csv"/> + <param name="target_column" value="7"/> <param name="test_dataset_conditional|has_test_dataset" value="yes"/> <param name="test_dataset_conditional|input_test" value="test.csv"/> <param name="use_images_conditional|use_images" value="yes"/> @@ -349,27 +349,27 @@ <output name="output_json"> <assert_contents> <has_text text=""threshold": 0.4"/> - </assert_contents> - </output> - </test> + </assert_contents> + </output> + </test> - <!-- No external test set; internal split --> - <test expect_num_outputs="3"> - <param name="input_csv" value="train.csv"/> - <param name="target_column" value="7"/> + <!-- No external test set; internal split --> + <test expect_num_outputs="3"> + <param name="input_csv" value="train.csv"/> + <param name="target_column" value="7"/> <param name="test_dataset_conditional|has_test_dataset" value="no"/> <param name="use_images_conditional|use_images" value="yes"/> <param name="use_images_conditional|images_zip_repeat_0|images_zip" value="images.zip"/> <output name="output_json"> <assert_contents> <has_text text=""val""/> - </assert_contents> - </output> - </test> + </assert_contents> + </output> + </test> - <!-- Text/tabular only (ignore images) --> - <test expect_num_outputs="3"> - <param name="input_csv" value="train.csv"/> + <!-- Text/tabular only (ignore images) --> + <test expect_num_outputs="3"> + <param name="input_csv" value="train.csv"/> <param name="target_column" value="7"/> <param name="test_dataset_conditional|has_test_dataset" value="yes"/> <param name="test_dataset_conditional|input_test" value="test.csv"/>
