Mercurial > repos > bgruening > sklearn_svm_classifier

comparison svm.xml @ 15:2df8f5c30edc 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 05:21:05 -0500
parents 153f237ddb36
children d67dcd63f6cb
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14:da0a22cdcce7 15:2df8f5c30edc
29 params = json.load(param_handler) 29 params = json.load(param_handler)
30 30
31 #if $selected_tasks.selected_task == "load": 31 #if $selected_tasks.selected_task == "load":
32 32
33 header = 'infer' if params["selected_tasks"]["header"] else None 33 header = 'infer' if params["selected_tasks"]["header"] else None
34 data = pandas.read_csv("$selected_tasks.infile_data", sep='\t', header=header, index_col=None, parse_dates=True, encoding=None, tupleize_cols=False) 34 data = pandas.read_csv("$selected_tasks.infile_data", sep='\t', header=header, index_col=None, parse_dates=True, encoding=None)
35 35
36 with open("$infile_model", 'rb') as model_handler: 36 with open("$infile_model", 'rb') as model_handler:
37 classifier_object = load_model(model_handler) 37 classifier_object = load_model(model_handler)
38 38
39 prediction = classifier_object.predict(data) 39 prediction = classifier_object.predict(data)