Mercurial > repos > bgruening > sklearn_feature_selection
comparison stacking_ensembles.py @ 30:1d20e0dce176 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 208a8d348e7c7a182cfbe1b6f17868146428a7e2"
| author | bgruening |
|---|---|
| date | Tue, 13 Apr 2021 22:00:10 +0000 |
| parents | 93f3b307485f |
| children | 5773e98921fc |
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| 29:93f3b307485f | 30:1d20e0dce176 |
|---|---|
| 1 import argparse | 1 import argparse |
| 2 import ast | 2 import ast |
| 3 import json | 3 import json |
| 4 import mlxtend.regressor | |
| 5 import mlxtend.classifier | |
| 6 import pandas as pd | |
| 7 import pickle | 4 import pickle |
| 8 import sys | 5 import sys |
| 9 import warnings | 6 import warnings |
| 10 from galaxy_ml.utils import load_model, get_cv, get_estimator, get_search_params | 7 |
| 8 import mlxtend.classifier | |
| 9 import mlxtend.regressor | |
| 10 import pandas as pd | |
| 11 from galaxy_ml.utils import get_cv, get_estimator, get_search_params, load_model | |
| 11 | 12 |
| 12 | 13 |
| 13 warnings.filterwarnings("ignore") | 14 warnings.filterwarnings("ignore") |
| 14 | 15 |
| 15 N_JOBS = int(__import__("os").environ.get("GALAXY_SLOTS", 1)) | 16 N_JOBS = int(__import__("os").environ.get("GALAXY_SLOTS", 1)) |