相关疑难解决方法(0)

import matplotlib.pyplot as pl
%matplot inline
def learning_curves(X_train, y_train, X_test, y_test):
""" Calculates the performance of several models with varying sizes of training data.
    The learning and testing error rates for each model are then plotted. """

print ("Creating learning curve graphs for max_depths of 1, 3, 6, and 10. . .")

# Create the figure window
fig = pl.figure(figsize=(10,8))

# We will vary the training set size so that we have 50 different sizes
sizes = np.rint(np.linspace(1, len(X_train), 50)).astype(int) …