Mercurial > repos > bgruening > sklearn_lightgbm
diff search_model_validation.py @ 4:aff86cee673c draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 208a8d348e7c7a182cfbe1b6f17868146428a7e2"
author | bgruening |
---|---|
date | Tue, 13 Apr 2021 22:48:19 +0000 |
parents | c3bafda50176 |
children | c48ffc96fe79 |
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--- a/search_model_validation.py Tue Apr 13 18:33:38 2021 +0000 +++ b/search_model_validation.py Tue Apr 13 22:48:19 2021 +0000 @@ -1,15 +1,27 @@ import argparse import collections +import json +import os +import pickle +import sys +import warnings + import imblearn import joblib -import json import numpy as np -import os import pandas as pd -import pickle import skrebate -import sys -import warnings +from galaxy_ml.utils import ( + clean_params, + get_cv, + get_main_estimator, + get_module, + get_scoring, + load_model, + read_columns, + SafeEval, + try_get_attr +) from scipy.io import mmread from sklearn import ( cluster, @@ -20,21 +32,8 @@ preprocessing, ) from sklearn.exceptions import FitFailedWarning +from sklearn.model_selection import _search, _validation from sklearn.model_selection._validation import _score, cross_validate -from sklearn.model_selection import _search, _validation -from sklearn.pipeline import Pipeline - -from galaxy_ml.utils import ( - SafeEval, - get_cv, - get_scoring, - load_model, - read_columns, - try_get_attr, - get_module, - clean_params, - get_main_estimator, -) _fit_and_score = try_get_attr("galaxy_ml.model_validations", "_fit_and_score")