Mercurial > repos > bgruening > sklearn_fitted_model_eval
diff fitted_model_eval.xml @ 6:fa1471b6c095 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
| author | bgruening |
|---|---|
| date | Tue, 13 Apr 2021 18:17:34 +0000 |
| parents | eaddff553324 |
| children | 8e7622bf46e3 |
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--- a/fitted_model_eval.xml Thu Oct 01 20:52:28 2020 +0000 +++ b/fitted_model_eval.xml Tue Apr 13 18:17:34 2021 +0000 @@ -1,11 +1,11 @@ -<tool id="sklearn_fitted_model_eval" name="Evaluate a Fitted Model" version="@VERSION@"> +<tool id="sklearn_fitted_model_eval" name="Evaluate a Fitted Model" version="@VERSION@" profile="20.05"> <description>using a new batch of labeled data</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[ @@ -23,35 +23,35 @@ <inputs name="inputs" /> </configfiles> <inputs> - <param name="infile_estimator" type="data" format="zip" label="Choose the dataset containing pipeline/estimator object"/> - <param name="infile_weights" type="data" format="h5" optional="true" label="Choose the dataset containing weights for the estimator above" help="Optional. For deep learning only."/> - <expand macro="scoring_selection"/> + <param name="infile_estimator" type="data" format="zip" label="Choose the dataset containing pipeline/estimator object" /> + <param name="infile_weights" type="data" format="h5" optional="true" label="Choose the dataset containing weights for the estimator above" help="Optional. For deep learning only." /> + <expand macro="scoring_selection" /> <conditional name="input_options"> - <expand macro="data_input_options"/> + <expand macro="data_input_options" /> <when value="tabular"> - <expand macro="samples_tabular" label1="Dataset containing features:" multiple1="true" multiple2="false"/> + <expand macro="samples_tabular" label1="Dataset containing features:" multiple1="true" multiple2="false" /> </when> <when value="sparse"> - <expand macro="sparse_target"/> + <expand macro="sparse_target" /> </when> - </conditional> + </conditional> </inputs> <outputs> - <data format="tabular" name="outfile_eval"/> + <data format="tabular" name="outfile_eval" /> </outputs> <tests> <test> - <param name="infile_estimator" value="searchCV01" ftype="zip"/> + <param name="infile_estimator" value="searchCV01" ftype="zip" /> <conditional name="scoring"> - <param name="primary_scoring" value="r2"/> + <param name="primary_scoring" value="r2" /> </conditional> - <param name="infile1" value="train_test_split_test01.tabular" ftype="tabular"/> + <param name="infile1" value="train_test_split_test01.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_split_test01.tabular" ftype="tabular"/> - <param name="header2" value="true"/> - <param name="col2" value="1"/> - <output name="outfile_eval" file="fitted_model_eval01.tabular"/> + <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_split_test01.tabular" ftype="tabular" /> + <param name="header2" value="true" /> + <param name="col2" value="1" /> + <output name="outfile_eval" file="fitted_model_eval01.tabular" /> </test> </tests> <help> @@ -81,7 +81,7 @@ ]]> </help> <expand macro="sklearn_citation"> - <expand macro="keras_citation"/> - <expand macro="selene_citation"/> + <expand macro="keras_citation" /> + <expand macro="selene_citation" /> </expand> </tool>