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comparison image_learner.xml @ 4:e7c19753d710 draft

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planemo upload for repository https://github.com/goeckslab/gleam.git commit 70ba8ecdab8ddb8197fdb41022ba2dab6526f5f8
author goeckslab
date Tue, 08 Jul 2025 02:11:39 +0000
parents 2c3a3dfaf1a9
children d2d9a931addf
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3:2c3a3dfaf1a9 4:e7c19753d710
1 <tool id="image_learner" name="Image Learner for Classification" version="0.1.0" profile="22.05"> 1 <tool id="image_learner" name="Image Learner" version="0.1.1" profile="22.05">
2 <description>trains and evaluates a image classification model</description> 2 <description>trains and evaluates an image classification/regression model</description>
3 <requirements> 3 <requirements>
4 <container type="docker">quay.io/goeckslab/galaxy-ludwig-gpu:0.10.1</container> 4 <container type="docker">quay.io/goeckslab/galaxy-ludwig-gpu:0.10.1</container>
5 </requirements> 5 </requirements>
6 <required_files> 6 <required_files>
7 <include path="utils.py" /> 7 <include path="utils.py" />
318 </test> 318 </test>
319 </tests> 319 </tests>
320 <help> 320 <help>
321 <![CDATA[ 321 <![CDATA[
322 **What it does** 322 **What it does**
323 Image Learner for Classification: trains and evaluates a image classification model. 323 Image Learner for Classification/regression: trains and evaluates a image classification/regression model.
324 It uses the metadata csv to find the image paths and labels. 324 It uses the metadata csv to find the image paths and labels.
325 The metadata csv should contain a column with the name 'image_path' and a column with the name 'label'. 325 The metadata csv should contain a column with the name 'image_path' and a column with the name 'label'.
326 Optionally, you can also add a column with the name 'split' to specify which split each row belongs to (train, val, test). 326 Optionally, you can also add a column with the name 'split' to specify which split each row belongs to (train, val, test).
327 If you do not provide a split column, the tool will automatically split the data into train, val, and test sets based on the proportions you specify or [0.7, 0.1, 0.2] by default. 327 If you do not provide a split column, the tool will automatically split the data into train, val, and test sets based on the proportions you specify or [0.7, 0.1, 0.2] by default.
328 328