Mercurial > repos > bgruening > sklearn_ensemble

diff ensemble.xml @ 35:c49ad9558f6a draft

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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
author bgruening
date Mon, 16 Dec 2019 10:03:13 +0000
parents b76516a55138
children 142f27ae0806
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--- a/ensemble.xml	Thu Nov 07 05:12:02 2019 -0500
+++ b/ensemble.xml	Mon Dec 16 10:03:13 2019 +0000
@@ -79,7 +79,7 @@
     with open(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(infile_data, sep='\t', header=header, index_col=None, parse_dates=True, encoding=None, tupleize_cols=False)
+    data = pandas.read_csv(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)