Mercurial > repos > bgruening > sklearn_model_fit
diff simple_model_fit.xml @ 6:26decbf4bdb8 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
author | bgruening |
---|---|
date | Tue, 13 Apr 2021 17:56:21 +0000 |
parents | 734c66aa945a |
children | f903c8cf1455 |
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--- a/simple_model_fit.xml Thu Oct 01 20:31:44 2020 +0000 +++ b/simple_model_fit.xml Tue Apr 13 17:56:21 2021 +0000 @@ -1,11 +1,11 @@ -<tool id="sklearn_model_fit" name="Fit a Pipeline, Ensemble" version="@VERSION@"> +<tool id="sklearn_model_fit" name="Fit a Pipeline, Ensemble" version="@VERSION@" profile="20.05"> <description>or other models using a labeled dataset</description> <macros> <import>main_macros.xml</import> <import>keras_macros.xml</import> </macros> - <expand macro="python_requirements"/> - <expand macro="macro_stdio"/> + <expand macro="python_requirements" /> + <expand macro="macro_stdio" /> <version_command>echo "@VERSION@"</version_command> <command> <![CDATA[ @@ -25,46 +25,46 @@ <inputs name="inputs" /> </configfiles> <inputs> - <param name="infile_estimator" type="data" format="zip" label="Choose the dataset containing pipeline/estimator"/> - <param name="is_deep_learning" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="false" label="Is the estimator a deep learning model?"/> + <param name="infile_estimator" type="data" format="zip" label="Choose the dataset containing pipeline/estimator" /> + <param name="is_deep_learning" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="false" label="Is the estimator a deep learning model?" /> <conditional name="input_options"> - <expand macro="data_input_options"/> + <expand macro="data_input_options" /> <when value="tabular"> - <expand macro="samples_tabular" label1="Choose the training dataset containing features" multiple1="true" multiple2="false"/> + <expand macro="samples_tabular" label1="Choose the training dataset containing features" multiple1="true" multiple2="false" /> </when> <when value="sparse"> - <expand macro="sparse_target"/> + <expand macro="sparse_target" /> </when> </conditional> </inputs> <outputs> - <data format="zip" name="out_object" label="Fitted model (skeleton) on $(on_string)"/> + <data format="zip" name="out_object" label="Fitted model (skeleton) on $(on_string)" /> <data format="h5" name="out_weights" label="Weights trained on ${on_string}"> <filter>is_deep_learning</filter> </data> </outputs> <tests> <test> - <param name="infile_estimator" value="pipeline05" ftype="zip"/> - <param name="infile1" value="regression_X.tabular" ftype="tabular"/> + <param name="infile_estimator" value="pipeline05" ftype="zip" /> + <param name="infile1" value="regression_X.tabular" ftype="tabular" /> <param name="header1" value="true" /> - <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17"/> - <param name="infile2" value="regression_y.tabular" ftype="tabular"/> - <param name="header2" value="true"/> - <param name="col2" value="1"/> - <output name="out_object" file="model_fit01" compare="sim_size" delta="50"/> + <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17" /> + <param name="infile2" value="regression_y.tabular" ftype="tabular" /> + <param name="header2" value="true" /> + <param name="col2" value="1" /> + <output name="out_object" file="model_fit01" compare="sim_size" delta="50" /> </test> <test> - <param name="infile_estimator" value="keras_model04"/> - <param name="is_deep_learning" value="true"/> - <param name="infile1" value="regression_X.tabular" ftype="tabular"/> + <param name="infile_estimator" value="keras_model04" /> + <param name="is_deep_learning" value="true" /> + <param name="infile1" value="regression_X.tabular" ftype="tabular" /> <param name="header1" value="true" /> - <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17"/> - <param name="infile2" value="regression_y.tabular" ftype="tabular"/> - <param name="header2" value="true"/> - <param name="col2" value="1"/> - <output name="out_object" file="model_fit02" compare="sim_size" delta="10"/> - <output name="out_weights" file="model_fit02.h5" compare="sim_size" delta="10"/> + <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17" /> + <param name="infile2" value="regression_y.tabular" ftype="tabular" /> + <param name="header2" value="true" /> + <param name="col2" value="1" /> + <output name="out_object" file="model_fit02" compare="sim_size" delta="50" /> + <output name="out_weights" file="model_fit02.h5" compare="sim_size" delta="50" /> </test> </tests> <help> @@ -88,7 +88,7 @@ ]]> </help> <expand macro="sklearn_citation"> - <expand macro="keras_citation"/> - <expand macro="selene_citation"/> + <expand macro="keras_citation" /> + <expand macro="selene_citation" /> </expand> </tool>