5a33360ebb84c5f89035417c5aee042dab235127,sklearn/ensemble/tests/test_gradient_boosting.py,,,#,43

Before Change

// also load the boston dataset
// and randomly permute it
boston = datasets.load_boston()
perm = rng.permutation(boston.target.size)
boston.data = boston.data[perm]
boston.target = boston.target[perm]

// also load the iris dataset
// and randomly permute it
iris = datasets.load_iris()

After Change

true_result = [-1, 1, 1]

// also make regression dataset
X_reg, y_reg = make_regression(
    n_samples=500, n_features=10, n_informative=8, noise=10, random_state=7
)
y_reg = scale(y_reg)

Instances