Mercurial > repos > bgruening > sklearn_discriminant_classifier

comparison discriminant.xml @ 31:64b771b1471a 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 05:17:00 -0500
parents 9bb505eafac9
children eeaf989f1024
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30:18b39ada6f35 31:64b771b1471a
33 33
34 with open("$infile_model", 'rb') as model_handler: 34 with open("$infile_model", 'rb') as model_handler:
35 classifier_object = load_model(model_handler) 35 classifier_object = load_model(model_handler)
36 36
37 header = 'infer' if params["selected_tasks"]["header"] else None 37 header = 'infer' if params["selected_tasks"]["header"] else None
38 data = pandas.read_csv("$selected_tasks.infile_data", sep='\t', header=header, index_col=None, parse_dates=True, encoding=None, tupleize_cols=False) 38 data = pandas.read_csv("$selected_tasks.infile_data", sep='\t', header=header, index_col=None, parse_dates=True, encoding=None)
39 prediction = classifier_object.predict(data) 39 prediction = classifier_object.predict(data)
40 prediction_df = pandas.DataFrame(prediction) 40 prediction_df = pandas.DataFrame(prediction)
41 res = pandas.concat([data, prediction_df], axis=1) 41 res = pandas.concat([data, prediction_df], axis=1)
42 res.to_csv(path_or_buf = "$outfile_predict", sep="\t", index=False) 42 res.to_csv(path_or_buf = "$outfile_predict", sep="\t", index=False)
43 43