Mercurial > repos > bgruening > sklearn_generalized_linear

comparison generalized_linear.xml @ 14:10a8543142fc draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 7c2fd140e89605fe689c39e21d70a400545e38cf
author bgruening
date Tue, 10 Jul 2018 03:13:00 -0400
parents cf635edf37d2
children f0e215cbade3
comparison
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13:cf635edf37d2 14:10a8543142fc
42 42
43 #else: 43 #else:
44 classifier_object = pickle.load(open("$selected_tasks.infile_model", 'r')) 44 classifier_object = pickle.load(open("$selected_tasks.infile_model", 'r'))
45 data = pandas.read_csv("$selected_tasks.infile_data", sep='\t', header=None, index_col=None, parse_dates=True, encoding=None, tupleize_cols=False ) 45 data = pandas.read_csv("$selected_tasks.infile_data", sep='\t', header=None, index_col=None, parse_dates=True, encoding=None, tupleize_cols=False )
46 prediction = classifier_object.predict(data) 46 prediction = classifier_object.predict(data)
47 prediction_df = pandas.DataFrame(prediction) 47 prediction_df = pandas.DataFrame(prediction, columns=["predicted"])
48 res = pandas.concat([data, prediction_df], axis=1) 48 res = pandas.concat([data, prediction_df], axis=1)
49 res.to_csv(path_or_buf = "$outfile_predict", sep="\t", index=False, header=None) 49 res.to_csv(path_or_buf = "$outfile_predict", sep="\t", index=False, header=None)
50 #end if 50 #end if
51 51
52 ]]> 52 ]]>