Mercurial > repos > bgruening > sklearn_numeric_clustering
comparison numeric_clustering.xml @ 32:a36e1455971d draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
| author | bgruening |
|---|---|
| date | Fri, 09 Aug 2019 06:19:29 -0400 |
| parents | 60d80322e1e9 |
| children | 80bb86a40de6 |
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| 31:faa3d0b9d1a6 | 32:a36e1455971d |
|---|---|
| 17 import sys | 17 import sys |
| 18 import json | 18 import json |
| 19 import numpy as np | 19 import numpy as np |
| 20 import sklearn.cluster | 20 import sklearn.cluster |
| 21 import pandas | 21 import pandas |
| 22 | |
| 22 from sklearn import metrics | 23 from sklearn import metrics |
| 23 from scipy.io import mmread | 24 from scipy.io import mmread |
| 24 | 25 from galaxy_ml.utils import read_columns |
| 25 sys.path.insert(0, '$__tool_directory__') | 26 |
| 26 from utils import read_columns | |
| 27 | 27 |
| 28 N_JOBS = int(__import__('os').environ.get('GALAXY_SLOTS', 1)) | 28 N_JOBS = int(__import__('os').environ.get('GALAXY_SLOTS', 1)) |
| 29 | 29 |
| 30 input_json_path = sys.argv[1] | 30 input_json_path = sys.argv[1] |
| 31 with open(input_json_path, "r") as param_handler: | 31 with open(input_json_path, "r") as param_handler: |
