# W3cubDocs

/TensorFlow 2.3

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$). The attributes themselves are defined in the StatLib website. Arguments path path where to cache the dataset locally (relative to ~/.keras/datasets). test_split fraction of the data to reserve as test set. seed Random seed for shuffling the data before computing the test split. Returns Tuple of Numpy arrays: (x_train, y_train), (x_test, y_test). x_train, x_test: numpy arrays with shape (num_samples, 13) containing either the training samples (for x_train), or test samples (for y_train). y_train, y_test: numpy arrays of shape (num_samples,) containing the target scalars. The targets are float scalars typically between 10 and 50 that represent the home prices in k$.