282f883f27fdb10df826b39f621989145b44fa35,tests/integration_tests/test_sklearn.py,,test_optuna_search,#Any#Any#,15

Before Change

        optuna_search._check_is_fitted()

    if fit_params == "sample_weight":
        sample_weight = np.ones_like(y)
        optuna_search.fit(X, y, sample_weight=sample_weight)
    else:
        optuna_search.fit(X, y)

After Change

        optuna_search._check_is_fitted()

    if fit_params == "coef_init" and not enable_pruning:
        optuna_search.fit(X, y, coef_init=np.ones((3, 2), dtype=np.float64))
    else:
        optuna_search.fit(X, y)

Instances