Mercurial > repos > bgruening > sklearn_numeric_clustering

comparison main_macros.xml @ 27:6edcaa8dbb9f draft

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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
author bgruening
date Fri, 13 Sep 2019 12:27:50 -0400
parents 37e193b3fdd7
children 2d7c60aa6c62
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26:37e193b3fdd7 27:6edcaa8dbb9f
1 <macros> 1 <macros>
2 <token name="@VERSION@">1.0.7.10</token> 2 <token name="@VERSION@">1.0.7.12</token>
3 3
4 <token name="@ENSEMBLE_VERSION@">0.2.0</token> 4 <token name="@ENSEMBLE_VERSION@">0.2.0</token>
5 5
6 <xml name="python_requirements"> 6 <xml name="python_requirements">
7 <requirements> 7 <requirements>
8 <requirement type="package" version="3.6">python</requirement> 8 <requirement type="package" version="3.6">python</requirement>
9 <requirement type="package" version="0.7.10">Galaxy-ML</requirement> 9 <requirement type="package" version="0.7.12">Galaxy-ML</requirement>
10 <yield/> 10 <yield/>
11 </requirements> 11 </requirements>
12 </xml> 12 </xml>
13 13
14 <xml name="macro_stdio"> 14 <xml name="macro_stdio">
1377 <xml name="search_cv_options"> 1377 <xml name="search_cv_options">
1378 <expand macro="scoring_selection"/> 1378 <expand macro="scoring_selection"/>
1379 <expand macro="model_validation_common_options"/> 1379 <expand macro="model_validation_common_options"/>
1380 <!--expand macro="pre_dispatch" default_value="2*n_jobs" help="Controls the number of jobs that get dispatched during parallel execution"/--> 1380 <!--expand macro="pre_dispatch" default_value="2*n_jobs" help="Controls the number of jobs that get dispatched during parallel execution"/-->
1381 <param argument="iid" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="true" label="iid" help="If True, data is identically distributed across the folds"/> 1381 <param argument="iid" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="true" label="iid" help="If True, data is identically distributed across the folds"/>
1382 <param argument="refit" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="true" label="refit" help="Refit an estimator using the best found parameters on the whole dataset."/> 1382 <param argument="refit" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="true" label="refit" help="Refit an estimator using the best found parameters on the whole dataset. Be aware that `refit=True` invokes extra computation, but it's REQUIRED for outputting the best estimator!"/>
1383 <param argument="error_score" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="true" label="Raise fit error:" help="If false, the metric score is assigned to NaN if an error occurs in estimator fitting and FitFailedWarning is raised."/> 1383 <param argument="error_score" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="true" label="Raise fit error:" help="If false, the metric score is assigned to NaN if an error occurs in estimator fitting and FitFailedWarning is raised."/>
1384 <param argument="return_train_score" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="false" label="return_train_score" help=""/> 1384 <param argument="return_train_score" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="false" label="return_train_score" help=""/>
1385 </xml> 1385 </xml>
1386 1386
1387 <xml name="estimator_module_options"> 1387 <xml name="estimator_module_options">