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
line wrap: on
line diff
--- 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"/>