Mercurial > repos > goeckslab > multimodal_learner
diff multimodal_learner.xml @ 3:25bb80df7c0c draft default tip
planemo upload for repository https://github.com/goeckslab/gleam.git commit f0daa5846b336584c708d88f6d7f1b5ee8dc3093
| author | goeckslab |
|---|---|
| date | Sat, 17 Jan 2026 22:53:42 +0000 |
| parents | b708d0e210e6 |
| children |
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--- a/multimodal_learner.xml Sat Jan 10 16:13:19 2026 +0000 +++ b/multimodal_learner.xml Sat Jan 17 22:53:42 2026 +0000 @@ -1,4 +1,4 @@ -<tool id="multimodal_learner" name="Multimodal Learner" version="0.1.1" profile="22.01"> +<tool id="multimodal_learner" name="Multimodal Learner" version="0.1.2" profile="22.01"> <description>Train and evaluate an AutoGluon Multimodal model (tabular + image + text)</description> <requirements> @@ -43,12 +43,15 @@ ln -sf '$test_dataset_conditional.input_test' 'test_input.csv'; #end if -python '$__tool_directory__/multimodal_learner.py' + python '$__tool_directory__/multimodal_learner.py' --input_csv_train 'train_input.csv' #if $test_dataset_conditional.has_test_dataset == "yes" --input_csv_test 'test_input.csv' #end if --target_column '$target_column' + #if $sample_id_selector.use_sample_id == "yes" + --sample_id_column '$sample_id_selector.sample_id_column' + #end if #if $use_images_conditional.use_images == "yes" #if $images_zip_cli @@ -111,6 +114,16 @@ <inputs> <param name="input_csv" type="data" format="csv,tsv" label="Training dataset (CSV/TSV)" help="Must contain the target column and optional image paths"/> <param name="target_column" type="data_column" data_ref="input_csv" numerical="false" use_header_names="true" label="Target / Label column"/> + <conditional name="sample_id_selector"> + <param name="use_sample_id" type="select" label="Use a sample ID column for leakage-aware splitting?" help="Select yes to choose a column that groups related records (e.g., patient_id or slide_id)."> + <option value="no" selected="true">No column selected</option> + <option value="yes">Yes</option> + </param> + <when value="yes"> + <param name="sample_id_column" type="data_column" data_ref="input_csv" use_header_names="true" label="Sample ID column" help="All rows with the same ID stay in the same split or fold to reduce leakage. Used for internal train/val/test splits and group-aware CV folds." /> + </when> + <when value="no"/> + </conditional> <conditional name="test_dataset_conditional"> <param name="has_test_dataset" type="boolean" truevalue="yes" falsevalue="no" checked="false" label="Provide separate test dataset?"/>
