modelling_import.py

from sklearn.metrics import mean_absolute_error
from sklearn.model_selection import KFold, cross_val_score


# def get_mae(pred, target):
#     return mean_absolute_error(true, pred)

def cross_validate(model, nfolds, feats, targets):
    score = -1 * (cross_val_score(model, feats, targets, cv=nfolds, scoring='neg_mean_absolute_error'))
    return np.mean(score)