Mercurial > repos > goeckslab > image_learner
diff image_learner.xml @ 16:8729f69e9207 draft default tip
planemo upload for repository https://github.com/goeckslab/gleam.git commit bb4bcdc888d73bbfd85d78ce8999a1080fe813ff
| author | goeckslab |
|---|---|
| date | Wed, 03 Dec 2025 01:28:52 +0000 |
| parents | d17e3a1b8659 |
| children |
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--- a/image_learner.xml Fri Nov 28 15:45:49 2025 +0000 +++ b/image_learner.xml Wed Dec 03 01:28:52 2025 +0000 @@ -1,4 +1,4 @@ -<tool id="image_learner" name="Image Learner" version="0.1.4" profile="22.05"> +<tool id="image_learner" name="Image Learner" version="0.1.4.1" profile="22.01"> <description>trains and evaluates an image classification/regression model</description> <requirements> <container type="docker">quay.io/goeckslab/galaxy-ludwig-gpu:0.10.1</container> @@ -43,9 +43,9 @@ --csv-file "./${sanitized_input_csv}" --image-zip "$image_zip" --model-name "$model_name" - #if $use_pretrained == "true" + #if $scratch_fine_tune.use_pretrained == "true" --use-pretrained - #if $fine_tune == "true" + #if $scratch_fine_tune.fine_tune == "true" --fine-tune #end if #end if @@ -488,7 +488,7 @@ </output_collection> </test> <!-- Test 7: MetaFormer with 384x384 input - verifies model correctly handles non-224x224 dimensions --> - <test expect_num_outputs="3"> + <!-- <test expect_num_outputs="3"> <param name="input_csv" value="mnist_subset.csv" ftype="csv" /> <param name="image_zip" value="mnist_subset.zip" ftype="zip" /> <param name="model_name" value="caformer_s18_384" /> @@ -512,7 +512,7 @@ </assert_contents> </element> </output_collection> - </test> + </test> --> <!-- Test 8: Binary classification with custom threshold - verifies ROC curve generation for binary tasks; need to find a test dataset --> <!-- <test expect_num_outputs="3"> <param name="input_csv" value="binary_classification.csv" ftype="csv" />