Mercurial > repos > bgruening > sklearn_pairwise_metrics
comparison pairwise_metrics.xml @ 35:8e9ec9713c21 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
author | bgruening |
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date | Mon, 16 Dec 2019 09:58:50 +0000 (2019-12-16) |
parents | a30fa9604c09 |
children | 25c6949b930d |
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34:f0701bd46c9d | 35:8e9ec9713c21 |
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36 input_index=$i | 36 input_index=$i |
37 input_path="${s.input.file_name}" | 37 input_path="${s.input.file_name}" |
38 #if $input_type.selected_input_type == "sparse": | 38 #if $input_type.selected_input_type == "sparse": |
39 input_iter.append(mmread(input_path)) | 39 input_iter.append(mmread(input_path)) |
40 #else: | 40 #else: |
41 input_iter.append(pandas.read_csv(input_path, sep='\t', header=0, index_col=None, parse_dates=True, encoding=None, tupleize_cols=False ).values) | 41 input_iter.append(pandas.read_csv(input_path, sep='\t', header=0, index_col=None, parse_dates=True, encoding=None).values) |
42 #end if | 42 #end if |
43 #end for | 43 #end for |
44 | 44 |
45 if len(input_iter)>1: | 45 if len(input_iter)>1: |
46 X = input_iter[0] | 46 X = input_iter[0] |