Mercurial > repos > bgruening > sklearn_searchcv
diff main_macros.xml @ 11:68753d45815f draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
author | bgruening |
---|---|
date | Fri, 13 Sep 2019 12:24:39 -0400 |
parents | 82b6104d4682 |
children | 103aaea17119 |
line wrap: on
line diff
--- a/main_macros.xml Fri Aug 09 07:12:16 2019 -0400 +++ b/main_macros.xml Fri Sep 13 12:24:39 2019 -0400 @@ -1,12 +1,12 @@ <macros> - <token name="@VERSION@">1.0.7.10</token> + <token name="@VERSION@">1.0.7.12</token> <token name="@ENSEMBLE_VERSION@">0.2.0</token> <xml name="python_requirements"> <requirements> <requirement type="package" version="3.6">python</requirement> - <requirement type="package" version="0.7.10">Galaxy-ML</requirement> + <requirement type="package" version="0.7.12">Galaxy-ML</requirement> <yield/> </requirements> </xml> @@ -1379,7 +1379,7 @@ <expand macro="model_validation_common_options"/> <!--expand macro="pre_dispatch" default_value="2*n_jobs" help="Controls the number of jobs that get dispatched during parallel execution"/--> <param argument="iid" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="true" label="iid" help="If True, data is identically distributed across the folds"/> - <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."/> + <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!"/> <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."/> <param argument="return_train_score" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="false" label="return_train_score" help=""/> </xml>