Mercurial > repos > bgruening > sklearn_searchcv
diff search_model_validation.xml @ 19:cb5635e30842 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
author | bgruening |
---|---|
date | Tue, 13 Apr 2021 18:41:36 +0000 |
parents | c1ca24a1509d |
children | 301e07345c93 |
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--- a/search_model_validation.xml Fri Oct 02 08:41:16 2020 +0000 +++ b/search_model_validation.xml Tue Apr 13 18:41:36 2021 +0000 @@ -1,4 +1,4 @@ -<tool id="sklearn_searchcv" name="Hyperparameter Search" version="@VERSION@"> +<tool id="sklearn_searchcv" name="Hyperparameter Search" version="@VERSION@" profile="20.05"> <description>performs hyperparameter optimization using various SearchCVs</description> <macros> <import>main_macros.xml</import> @@ -32,47 +32,41 @@ <expand macro="python_requirements"/> <expand macro="macro_stdio"/> <version_command>echo "@VERSION@"</version_command> - <command> - <![CDATA[ + <command><![CDATA[ export HDF5_USE_FILE_LOCKING='FALSE'; #if $input_options.selected_input == 'refseq_and_interval' - bgzip -c '$input_options.target_file' > '${target_file.element_identifier}.gz' && - tabix -p bed '${target_file.element_identifier}.gz' && + bgzip -c '$input_options.target_file' > '${target_file.element_identifier}.gz' && + tabix -p bed '${target_file.element_identifier}.gz' && #end if python '$__tool_directory__/search_model_validation.py' --inputs '$inputs' --estimator '$search_schemes.infile_estimator' #if $input_options.selected_input == 'seq_fasta' - --fasta_path '$input_options.fasta_path' + --fasta_path '$input_options.fasta_path' #elif $input_options.selected_input == 'refseq_and_interval' - --ref_seq '$input_options.ref_genome_file' - --interval '$input_options.interval_file' - --targets "`pwd`/${target_file.element_identifier}.gz" + --ref_seq '$input_options.ref_genome_file' + --interval '$input_options.interval_file' + --targets "`pwd`/${target_file.element_identifier}.gz" #else - --infile1 '$input_options.infile1' + --infile1 '$input_options.infile1' #end if - --infile2 '$input_options.infile2' + --infile2 '$input_options.infile2' #if $save != 'save_no_fit' - --outfile_result "`pwd`/tmp_outfile_result" + --outfile_result '$outfile_result' #end if #if $save == 'save_estimator' - --outfile_object '$outfile_object' + --outfile_object '$outfile_object' #end if #if $save == 'save_no_fit' - --outfile_object '$outfile_object_no_fit' + --outfile_object '$outfile_object_no_fit' #end if #if $search_schemes.is_deep_learning == 'booltrue' and $save == 'save_estimator' and $outer_split.split_mode == 'nested_cv' - --outfile_weights '$outfile_weights' + --outfile_weights '$outfile_weights' #end if #if $search_schemes.options.cv_selector.selected_cv in ['GroupKFold', 'GroupShuffleSplit', 'LeaveOneGroupOut', 'LeavePGroupsOut'] - --groups '$search_schemes.options.cv_selector.groups_selector.infile_g' + --groups '$search_schemes.options.cv_selector.groups_selector.infile_g' #end if - #if $save != 'save_no_fit' - >'$outfile_result' && cp '$outfile_result' "`pwd`/../tool_stdout" - && cp "`pwd`/tmp_outfile_result" '$outfile_result'; - #end if - - ]]> + ]]> </command> <configfiles> <inputs name="inputs" />