Mercurial > repos > bgruening > sklearn_ensemble
diff ensemble.xml @ 20:038cecaa9e7c draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8cf3d813ec755166ee0bd517b4ecbbd4f84d4df1
author | bgruening |
---|---|
date | Thu, 23 Aug 2018 16:16:12 -0400 |
parents | 4570575d060c |
children | 9ce3e347506c |
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--- a/ensemble.xml Fri Aug 17 12:28:21 2018 -0400 +++ b/ensemble.xml Thu Aug 23 16:16:12 2018 -0400 @@ -20,10 +20,10 @@ import numpy as np import sklearn.ensemble import pandas -import pickle from scipy.io import mmread -execfile("$__tool_directory__/utils.py") +execfile("$__tool_directory__/sk_whitelist.py") +execfile("$__tool_directory__/utils.py", globals()) # Get inputs, outputs. input_json_path = sys.argv[1] @@ -75,7 +75,7 @@ else: with open(infile_model, 'rb') as model_handler: - classifier_object = pickle.load(model_handler) + classifier_object = SafePickler.load(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) prediction = classifier_object.predict(data)