6f33c5ccb42043c28d390f5ff08cff9317060bc8,sklearn/neural_network/tests/test_mlp.py,,,#,30

Before Change

classification_datasets = [(X_digits_multi, y_digits_multi),
                           (X_digits_binary, y_digits_binary)]

boston = load_boston()

Xboston = StandardScaler().fit_transform(boston.data)[: 200]
yboston = boston.target[:200]

regression_datasets = [(Xboston, yboston)]

iris = load_iris()

After Change

X_reg, y_reg = make_regression(n_samples=200, n_features=10, bias=20.,
                               noise=100., random_state=7)
y_reg = scale(y_reg)
regression_datasets = [(X_reg, y_reg)]

iris = load_iris()

Instances