Mercurial > repos > bgruening > numeric_clustering
comparison numeric_clustering.xml @ 1:d645cdee08ed draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0-dirty
| author | bgruening |
|---|---|
| date | Fri, 01 Jan 2016 10:42:52 -0500 |
| parents | 42a2825313e9 |
| children | 1d465f2ebfad |
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| 0:42a2825313e9 | 1:d645cdee08ed |
|---|---|
| 77 my_class = getattr(sklearn.cluster, "$algorithm_options.selected_algorithm") | 77 my_class = getattr(sklearn.cluster, "$algorithm_options.selected_algorithm") |
| 78 cluster_object = my_class() | 78 cluster_object = my_class() |
| 79 | 79 |
| 80 params = json.loads( sys.argv[1] ) | 80 params = json.loads( sys.argv[1] ) |
| 81 cluster_object.set_params(**params) | 81 cluster_object.set_params(**params) |
| 82 if $end_column > $start_column: | 82 if $end_column >= $start_column: |
| 83 data_matrix = data.values[:, $start_column-1:$end_column] | 83 data_matrix = data.values[:, $start_column-1:$end_column] |
| 84 else: | 84 else: |
| 85 data_matrix = data.values | 85 data_matrix = data.values |
| 86 prediction = cluster_object.fit_predict( data_matrix ) | 86 prediction = cluster_object.fit_predict( data_matrix ) |
| 87 data['cluster_label'] = prediction | 87 data['cluster_label'] = prediction |