Mercurial > repos > bgruening > sklearn_stacking_ensemble_models
comparison model_prediction.py @ 10:2d890789ac48 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 208a8d348e7c7a182cfbe1b6f17868146428a7e2"
| author | bgruening |
|---|---|
| date | Tue, 13 Apr 2021 21:46:25 +0000 |
| parents | b8c92e94ac1d |
| children | 0380f10c4e04 |
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| 9:b8c92e94ac1d | 10:2d890789ac48 |
|---|---|
| 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( |
