Mercurial > repos > bgruening > sklearn_clf_metrics
comparison main_macros.xml @ 7:82f51b60c4ee draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
author | bgruening |
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date | Sat, 28 Apr 2018 18:09:19 -0400 |
parents | 961e9696f3d8 |
children | 08d81a5ec1e8 |
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6:961e9696f3d8 | 7:82f51b60c4ee |
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421 </conditional> | 421 </conditional> |
422 </xml> | 422 </xml> |
423 | 423 |
424 <xml name="clf_inputs" token_label1="Dataset containing true labels (tabular):" token_label2="Dataset containing predicted values (tabular):" token_multiple1="False" token_multiple="False"> | 424 <xml name="clf_inputs" token_label1="Dataset containing true labels (tabular):" token_label2="Dataset containing predicted values (tabular):" token_multiple1="False" token_multiple="False"> |
425 <param name="infile1" type="data" format="tabular" label="@LABEL1@"/> | 425 <param name="infile1" type="data" format="tabular" label="@LABEL1@"/> |
426 <param name="header1" type="boolean" optional="True" truevalue="booltrue" falsevalue="boolfalse" checked="False" label="Does the dataset contain header:" /> | |
426 <param name="col1" multiple="@MULTIPLE1@" type="data_column" data_ref="infile1" label="Select the target column:"/> | 427 <param name="col1" multiple="@MULTIPLE1@" type="data_column" data_ref="infile1" label="Select the target column:"/> |
427 <param name="infile2" type="data" format="tabular" label="@LABEL2@"/> | 428 <param name="infile2" type="data" format="tabular" label="@LABEL2@"/> |
429 <param name="header2" type="boolean" optional="True" truevalue="booltrue" falsevalue="boolfalse" checked="False" label="Does the dataset contain header:" /> | |
428 <param name="col2" multiple="@MULTIPLE@" type="data_column" data_ref="infile2" label="Select target column(s):"/> | 430 <param name="col2" multiple="@MULTIPLE@" type="data_column" data_ref="infile2" label="Select target column(s):"/> |
429 </xml> | 431 </xml> |
430 | 432 |
431 <xml name="multiple_input" token_name="input_files" token_max_num="10" token_format="txt" token_label="Sparse matrix file (.mtx, .txt)" token_help_text="Specify a sparse matrix file in .txt format."> | 433 <xml name="multiple_input" token_name="input_files" token_max_num="10" token_format="txt" token_label="Sparse matrix file (.mtx, .txt)" token_help_text="Specify a sparse matrix file in .txt format."> |
432 <repeat name="@NAME@" min="1" max="@MAX_NUM@" title="Select input file(s):"> | 434 <repeat name="@NAME@" min="1" max="@MAX_NUM@" title="Select input file(s):"> |
833 <param name="indices" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="false" label="Indices" help="If True, the return value will be an array of integers, rather than a boolean mask."/> | 835 <param name="indices" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="false" label="Indices" help="If True, the return value will be an array of integers, rather than a boolean mask."/> |
834 </when> | 836 </when> |
835 </conditional> | 837 </conditional> |
836 </xml> | 838 </xml> |
837 | 839 |
840 <xml name="model_validation_common_options"> | |
841 <param argument="cv" type="integer" value="" optional="true" label="cv" help="The number of folds in a (Stratified)KFold" /> | |
842 <expand macro="n_jobs"/> | |
843 <expand macro="verbose"/> | |
844 <yield/> | |
845 </xml> | |
846 | |
847 <xml name="scoring"> | |
848 <param argument="scoring" type="text" value="" optional="true" label="scoring" help="A metric used to evaluate the estimator"/> | |
849 </xml> | |
850 | |
851 <xml name="pre_dispatch"> | |
852 <param argument="pre_dispatch" type="text" value="all" optional="true" label="pre_dispatch" help="Number of predispatched jobs for parallel execution"/> | |
853 </xml> | |
854 | |
838 <!-- Outputs --> | 855 <!-- Outputs --> |
839 | 856 |
840 <xml name="output"> | 857 <xml name="output"> |
841 <outputs> | 858 <outputs> |
842 <data format="tabular" name="outfile_predict"> | 859 <data format="tabular" name="outfile_predict"> |