Mercurial > repos > bgruening > model_prediction
comparison stacking_ensembles.py @ 10:22f9cbcf1582 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 208a8d348e7c7a182cfbe1b6f17868146428a7e2"
| author | bgruening |
|---|---|
| date | Tue, 13 Apr 2021 21:54:09 +0000 |
| parents | 4aa701f5a393 |
| children | 60c726f5cc5e |
comparison
equal
deleted
inserted
replaced
| 9:4aa701f5a393 | 10:22f9cbcf1582 |
|---|---|
| 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)) |