python import skflow X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) regressor = skflow.TensorFlowLinearRegressor() regressor.fit(X_train, y_train, steps=1000) score = regressor.score(X_test, y_test) y_pred = regressor.predict(X_test)


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