Mercurial > repos > bgruening > sklearn_pairwise_metrics
diff pairwise_metrics.xml @ 19:49e5ce162e0e draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
author | bgruening |
---|---|
date | Fri, 13 Jul 2018 03:49:46 -0400 |
parents | 1573e8255a34 |
children | a30fa9604c09 |
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--- a/pairwise_metrics.xml Tue Jul 10 03:05:50 2018 -0400 +++ b/pairwise_metrics.xml Fri Jul 13 03:49:46 2018 -0400 @@ -22,10 +22,11 @@ from sklearn.metrics import pairwise from sklearn.metrics import pairwise_distances_argmin from scipy.io import mmread -from scipy.io import mmwrite input_json_path = sys.argv[1] -params = json.load(open(input_json_path, "r")) +with open(input_json_path, "r") as param_handler: + params = json.load(param_handler) + options = params["input_type"]["metric_functions"]["options"] metric_function = params["input_type"]["metric_functions"]["selected_metric_function"] @@ -35,7 +36,7 @@ input_index=$i input_path="${s.input.file_name}" #if $input_type.selected_input_type == "sparse": -input_iter.append(mmread(open(input_path, 'r'))) +input_iter.append(mmread(input_path)) #else: input_iter.append(pandas.read_csv(input_path, sep='\t', header=0, index_col=None, parse_dates=True, encoding=None, tupleize_cols=False ).values) #end if