# View more python learning tutorial on my Youtube and Youku channel!!! # Youtube video tutorial: https://www.youtube.com/channel/UCdyjiB5H8Pu7aDTNVXTTpcg # Youku video tutorial: http://i.youku.com/pythontutorial """ Please note, this code is only for python 3+. If you are using python 2+, please modify the code accordingly. """ from __future__ import print_function from sklearn.learning_curve import learning_curve from sklearn.datasets import load_digits from sklearn.svm import SVC import matplotlib.pyplot as plt import numpy as np digits = load_digits() X = digits.data y = digits.target train_sizes, train_loss, test_loss= learning_curve( SVC(gamma=0.01), X, y, cv=10, scoring='mean_squared_error', train_sizes=[0.1, 0.25, 0.5, 0.75, 1]) train_loss_mean = -np.mean(train_loss, axis=1) test_loss_mean = -np.mean(test_loss, axis=1) plt.plot(train_sizes, train_loss_mean, 'o-', color="r", label="Training") plt.plot(train_sizes, test_loss_mean, 'o-', color="g", label="Cross-validation") plt.xlabel("Training examples") plt.ylabel("Loss") plt.legend(loc="best") plt.show()