Mercurial > repos > bgruening > sklearn_generalized_linear
diff generalized_linear.xml @ 31:a8c7b9fa426c draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
author | bgruening |
---|---|
date | Mon, 16 Dec 2019 05:29:33 -0500 |
parents | 63417d0acc72 |
children | 602edec75e1d |
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--- a/generalized_linear.xml Thu Nov 07 05:36:10 2019 -0500 +++ b/generalized_linear.xml Mon Dec 16 05:29:33 2019 -0500 @@ -46,7 +46,7 @@ with open("$selected_tasks.infile_model", 'rb') as model_handler: classifier_object = load_model(model_handler) header = 'infer' if params["selected_tasks"]["header"] else None -data = pandas.read_csv("$selected_tasks.infile_data", sep='\t', header=header, index_col=None, parse_dates=True, encoding=None, tupleize_cols=False) +data = pandas.read_csv("$selected_tasks.infile_data", sep='\t', header=header, index_col=None, parse_dates=True, encoding=None) prediction = classifier_object.predict(data) prediction_df = pandas.DataFrame(prediction, columns=["predicted"]) res = pandas.concat([data, prediction_df], axis=1) @@ -82,7 +82,7 @@ <expand macro="alpha"/> <expand macro="l1_ratio"/> <expand macro="fit_intercept"/> - <expand macro="n_iter" /> + <expand macro="n_iter_no_change" /> <expand macro="shuffle"/> <expand macro="epsilon"/> <expand macro="learning_rate_s" selected1="true"/> @@ -102,7 +102,7 @@ <expand macro="alpha"/> <expand macro="l1_ratio"/> <expand macro="fit_intercept"/> - <expand macro="n_iter" /> + <expand macro="n_iter_no_change" /> <expand macro="shuffle"/> <expand macro="epsilon"/> <expand macro="learning_rate_s" selected2="true"/> @@ -191,7 +191,7 @@ <expand macro="penalty" default_value="none"/> <expand macro="alpha"/> <expand macro="fit_intercept"/> - <expand macro="n_iter" /> + <expand macro="n_iter_no_change" /> <expand macro="shuffle"/> <expand macro="eta0" default_value="1"/> <expand macro="warm_start" checked="false"/>