Mercurial > repos > bgruening > sklearn_numeric_clustering

comparison model_prediction.py @ 35:e7f047a9dca9 draft

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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 208a8d348e7c7a182cfbe1b6f17868146428a7e2"
author bgruening
date Tue, 13 Apr 2021 22:08:10 +0000
parents 816b65d52c33
children 73e7f1c76ece
comparison
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34:816b65d52c33 35:e7f047a9dca9
2 import json 2 import json
3 import warnings 3 import warnings
4 4
5 import numpy as np 5 import numpy as np
6 import pandas as pd 6 import pandas as pd
7 from galaxy_ml.utils import get_module, load_model, read_columns, try_get_attr
7 from scipy.io import mmread 8 from scipy.io import mmread
8 from sklearn.pipeline import Pipeline 9 from sklearn.pipeline import Pipeline
9
10 from galaxy_ml.utils import (get_module, load_model,
11 read_columns, try_get_attr)
12
13 10
14 N_JOBS = int(__import__("os").environ.get("GALAXY_SLOTS", 1)) 11 N_JOBS = int(__import__("os").environ.get("GALAXY_SLOTS", 1))
15 12
16 13
17 def main( 14 def main(