Mercurial > repos > bgruening > sklearn_generalized_linear
diff generalized_linear.xml @ 20:e426fe6b1138 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8cf3d813ec755166ee0bd517b4ecbbd4f84d4df1
| author | bgruening |
|---|---|
| date | Thu, 23 Aug 2018 16:12:17 -0400 |
| parents | 0a6a4da30a0a |
| children | da10fb828033 |
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--- a/generalized_linear.xml Fri Aug 17 12:23:53 2018 -0400 +++ b/generalized_linear.xml Thu Aug 23 16:12:17 2018 -0400 @@ -19,10 +19,10 @@ import numpy as np import sklearn.linear_model import pandas -import pickle from scipy.io import mmread -execfile("$__tool_directory__/utils.py") +execfile("$__tool_directory__/sk_whitelist.py") +execfile("$__tool_directory__/utils.py", globals()) input_json_path = sys.argv[1] with open(input_json_path, "r") as param_handler: @@ -43,7 +43,7 @@ #else: with open("$selected_tasks.infile_model", 'rb') as model_handler: - classifier_object = pickle.load(model_handler) + classifier_object = SafePickler.load(model_handler) data = pandas.read_csv("$selected_tasks.infile_data", sep='\t', header=None, index_col=None, parse_dates=True, encoding=None, tupleize_cols=False ) prediction = classifier_object.predict(data) prediction_df = pandas.DataFrame(prediction, columns=["predicted"])
