Mercurial > repos > bgruening > sklearn_ensemble

comparison 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
comparison
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34:d0e273869c45 35:c49ad9558f6a
77 77
78 else: 78 else:
79 with open(infile_model, 'rb') as model_handler: 79 with open(infile_model, 'rb') as model_handler:
80 classifier_object = load_model(model_handler) 80 classifier_object = load_model(model_handler)
81 header = 'infer' if params["selected_tasks"]["header"] else None 81 header = 'infer' if params["selected_tasks"]["header"] else None
82 data = pandas.read_csv(infile_data, sep='\t', header=header, index_col=None, parse_dates=True, encoding=None, tupleize_cols=False) 82 data = pandas.read_csv(infile_data, sep='\t', header=header, index_col=None, parse_dates=True, encoding=None)
83 prediction = classifier_object.predict(data) 83 prediction = classifier_object.predict(data)
84 prediction_df = pandas.DataFrame(prediction, columns=["predicted"]) 84 prediction_df = pandas.DataFrame(prediction, columns=["predicted"])
85 res = pandas.concat([data, prediction_df], axis=1) 85 res = pandas.concat([data, prediction_df], axis=1)
86 res.to_csv(path_or_buf = outfile_predict, sep="\t", index=False) 86 res.to_csv(path_or_buf = outfile_predict, sep="\t", index=False)
87 87