Mercurial > repos > bgruening > model_prediction
diff model_prediction.xml @ 9:4aa701f5a393 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
author | bgruening |
---|---|
date | Tue, 13 Apr 2021 18:00:54 +0000 |
parents | 6efb9bc6bf32 |
children | 3bb1b688b0e4 |
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--- a/model_prediction.xml Thu Oct 01 20:35:52 2020 +0000 +++ b/model_prediction.xml Tue Apr 13 18:00:54 2021 +0000 @@ -1,11 +1,11 @@ -<tool id="model_prediction" name="Model Prediction" version="@VERSION@"> +<tool id="model_prediction" name="Model Prediction" version="@VERSION@" profile="20.05"> <description>predicts on new data using a preffited model</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[ @@ -29,8 +29,8 @@ <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."/> + <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." /> <param argument="method" type="select" label="Select invocation method"> <option value="predict" selected="true">predict</option> <option value="predict_proba">predict_proba</option> @@ -43,17 +43,17 @@ <option value="variant_effect">reference genome and variant call file</option> </param> <when value="tabular"> - <param name="infile1" type="data" format="tabular" label="Training samples dataset:"/> + <param name="infile1" type="data" format="tabular" label="Training samples dataset:" /> <param name="header1" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="False" label="Does the dataset contain header:" /> <conditional name="column_selector_options_1"> - <expand macro="samples_column_selector_options" multiple="true"/> + <expand macro="samples_column_selector_options" multiple="true" /> </conditional> </when> <when value="sparse"> - <param name="infile1" type="data" format="txt" label="Select a sparse matrix" help=""/> + <param name="infile1" type="data" format="txt" label="Select a sparse matrix" help="" /> </when> <when value="seq_fasta"> - <param name="fasta_path" type="data" format="fasta" label="Dataset containing fasta genomic/protein sequences" help="Sequences will be one-hot encoded to arrays."/> + <param name="fasta_path" type="data" format="fasta" label="Dataset containing fasta genomic/protein sequences" help="Sequences will be one-hot encoded to arrays." /> <param name="seq_type" type="select" label="Sequence type"> <option value="FastaDNABatchGenerator">DNA</option> <option value="FastaRNABatchGenerator">RNA</option> @@ -61,45 +61,45 @@ </param> </when> <when value="variant_effect"> - <param name="ref_genome_file" type="data" format="fasta" label="Dataset containing reference genomic sequence" help="fasta"/> + <param name="ref_genome_file" type="data" format="fasta" label="Dataset containing reference genomic sequence" help="fasta" /> <param name="blacklist_regions" type="select" label="blacklist regioins" help="A pre-loaded list of blacklisted intervals.Refer to `selene` for details."> <option value="none" selected="true">None</option> <option value="hg38">hg38</option> <option value="hg19">hg19</option> </param> - <param name="vcf_file" type="data" format="vcf" label="Dataset containing sequence variations" help="vcf"/> - <param name="seq_length" type="integer" value="1000" label="Encoding seqence length" help="A stretch of sequence surrounding the variation position on the reference genome."/> - <param name="output_reference" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="false" label="Predict the reference sequence?" help="If False, predict on the variant sequence."/> + <param name="vcf_file" type="data" format="vcf" label="Dataset containing sequence variations" help="vcf" /> + <param name="seq_length" type="integer" value="1000" label="Encoding seqence length" help="A stretch of sequence surrounding the variation position on the reference genome." /> + <param name="output_reference" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="false" label="Predict the reference sequence?" help="If False, predict on the variant sequence." /> </when> </conditional> </inputs> <outputs> - <data format="tabular" name="outfile_predict"/> + <data format="tabular" name="outfile_predict" /> </outputs> <tests> <test> - <param name="infile_estimator" value="best_estimator_.zip" ftype="zip"/> - <param name="method" value="predict"/> - <param name="infile1" value="regression_X.tabular" ftype="tabular"/> + <param name="infile_estimator" value="best_estimator_.zip" ftype="zip" /> + <param name="method" value="predict" /> + <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"/> - <output name="outfile_predict" file="model_pred01.tabular"/> + <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17" /> + <output name="outfile_predict" file="model_pred01.tabular" /> </test> <test> - <param name="infile_estimator" value="keras_model04" ftype="zip"/> - <param name="infile_weights" value="train_test_eval_weights02.h5" ftype="h5"/> - <param name="method" value="predict"/> - <param name="infile1" value="regression_X.tabular" ftype="tabular"/> + <param name="infile_estimator" value="keras_model04" ftype="zip" /> + <param name="infile_weights" value="train_test_eval_weights02.h5" ftype="h5" /> + <param name="method" value="predict" /> + <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"/> - <output name="outfile_predict" > + <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17" /> + <output name="outfile_predict"> <assert_contents> - <has_n_columns n="1"/> - <has_text text="70.2"/> - <has_text text="61.2"/> - <has_text text="74.2"/> - <has_text text="65.9"/> - <has_text text="52.9"/> + <has_n_columns n="1" /> + <has_text text="70.2" /> + <has_text text="61.2" /> + <has_text text="74.2" /> + <has_text text="65.9" /> + <has_text text="52.9" /> </assert_contents> </output> </test> @@ -123,7 +123,7 @@ ]]> </help> <expand macro="sklearn_citation"> - <expand macro="keras_citation"/> - <expand macro="selene_citation"/> + <expand macro="keras_citation" /> + <expand macro="selene_citation" /> </expand> </tool>