tf.keras.datasets.boston_housing.load_data( path="boston_housing.npz", test_split=0.2, seed=113 )
Loads the Boston Housing dataset.
This is a dataset taken from the StatLib library which is maintained at Carnegie Mellon University.
Samples contain 13 attributes of houses at different locations around the Boston suburbs in the late 1970s. Targets are the median values of the houses at a location (in k$).
The attributes themselves are defined in the StatLib website.
(x_train, y_train), (x_test, y_test).
x_train, x_test: numpy arrays with shape
containing either the training samples (for x_train),
or test samples (for y_train).
y_train, y_test: numpy arrays of shape
(num_samples,) containing the
target scalars. The targets are float scalars typically between 10 and
50 that represent the home prices in k$.