ryancheunggit

# chunk 0
import numpy as np
import pandas as pd
import tensorflow as tf
from pprint import pprint
print(tf.__version__)
tf.random.set_seed(42)
(x_tr, y_tr), (x_te, y_te) = tf.keras.datasets.boston_housing.load_data()
y_tr, y_te = map(lambda x: np.expand_dims(x, -1), (y_tr, y_te))
x_tr, y_tr, x_te, y_te = map(lambda x: tf.cast(x, tf.float32), (x_tr, y_tr, x_te, y_te))