Created
March 30, 2020 18:56
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X, y = load_boston(return_X_y=True) | |
X = StandardScaler().fit_transform(X) | |
y = StandardScaler().fit_transform(np.expand_dims(y, -1)) | |
X_train, X_test, y_train, y_test = train_test_split(X, | |
y, | |
test_size=.25, | |
random_state=42) | |
X_train, y_train = torch.tensor(X_train).float(), torch.tensor(y_train).float() | |
X_test, y_test = torch.tensor(X_test).float(), torch.tensor(y_test).float() |
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