Mercurial > repos > bgruening > scipy_sparse

comparison fitted_model_eval.py @ 35:318484f56b6a 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 22:34:09 +0000
parents 4efd73be98bb
children 92e09b827300
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34:4efd73be98bb 35:318484f56b6a
1 import argparse 1 import argparse
2 import json 2 import json
3 import pandas as pd
4 import warnings 3 import warnings
5 4
5 import pandas as pd
6 from galaxy_ml.utils import get_scoring, load_model, read_columns
6 from scipy.io import mmread 7 from scipy.io import mmread
7 from sklearn.pipeline import Pipeline
8 from sklearn.metrics.scorer import _check_multimetric_scoring 8 from sklearn.metrics.scorer import _check_multimetric_scoring
9 from sklearn.model_selection._validation import _score 9 from sklearn.model_selection._validation import _score
10 from galaxy_ml.utils import get_scoring, load_model, read_columns 10 from sklearn.pipeline import Pipeline
11 11
12 12
13 def _get_X_y(params, infile1, infile2): 13 def _get_X_y(params, infile1, infile2):
14 """read from inputs and output X and y 14 """read from inputs and output X and y
15 15