def fit_grid_point(X, y, estimator, parameters, train, test, scorer,
                   verbose, error_score='raise', **fit_params):
    score, n_samples_test, _ = _fit_and_score(estimator, X, y, scorer, train,
                                              test, verbose, parameters,
                                              fit_params, error_score)
    return score, parameters, n_samples_test
Run fit on one set of parameters.
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/grid_search.py/fit_grid_point