Generative Model, Walkthrough, Data Science.
purpose of this tutorial). Let’s further investigate the outputs to gain a better understanding of the predictions. for y_true, (p1, p2, p3, p4) in zip(y_train[::5], y_prob[::5]): print("y_true: %s, p1: %.2f, p2: %.2f, p3: %.2f, p4: %.2f" % (y_true, p1, p2, p3, p4)) Predictions are close to the