import matplotlib.pyplot as plt
import numpy as np
from sklearn import datasets
from sklearn import svm

digits = datasets.load_digits()

print(len(digits.data))

clf = svm.SVC(gamma=0.001, C=100)

x,y = digits.data[-1], digits.target[-1]

clf.fit(x,y)

print(clf.predict(digits.data[[-1]]))


plt.imshow(digits.images[-1], cmap = plt.cm.gray_r, interpolation='nearest')
plt.show()