comparison search_model_validation.py @ 36:b75cae00f980 draft

"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 208a8d348e7c7a182cfbe1b6f17868146428a7e2"

35:0e5fcf7ddc75

import argparse
import collections
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 scipy.io import mmread
from sklearn import (
    cluster,
    decomposition,
    feature_selection,
    kernel_approximation,
    model_selection,
    preprocessing,
)
from sklearn.exceptions import FitFailedWarning
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")
setattr(_search, "_fit_and_score", _fit_and_score)
setattr(_validation, "_fit_and_score", _fit_and_score)

36:b75cae00f980

import argparse
import collections
import json
import os
import pickle
import sys
import warnings

import imblearn
import joblib
import numpy as np
import pandas as pd
import skrebate
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,
    decomposition,
    feature_selection,
    kernel_approximation,
    model_selection,
    preprocessing,
)
from sklearn.exceptions import FitFailedWarning
from sklearn.model_selection import _search, _validation
from sklearn.model_selection._validation import _score, cross_validate


_fit_and_score = try_get_attr("galaxy_ml.model_validations", "_fit_and_score")
setattr(_search, "_fit_and_score", _fit_and_score)
setattr(_validation, "_fit_and_score", _fit_and_score)