z = z.reshape(XX.shape)
if mesh:
plt.pcolormesh(XX, YY, z, zorder=-10, cmap=cmap)
if boundary:
plt.contourf(XX, YY, z, colors='k', linestyle='--' )
plt.xlim(x_min, x_max)
plt.ylim(y_min, y_max)
from sklearn.linear_model import Perceptron
clf = Perceptron()
clf.fit(X, y)
plt.scatter(X[:,0], X[:,1], marker='o', c=y, edgecolors='k')
plotBoundary(X, clf)
X, y = make_blobs(n_samples=20, n_features=2, centers=2, cluster_std=1, random_state=8)
plt.scatter(X[:,0], X[:,1], c=y, s=50)
for s in range(10):
clf.random_state = s
clf.fit(X, y)
plotBoundary(X, clf, mesh=False)
plt.scatter(X[:,0], X[:,1], marker='o', c=y, s=50, edgecolors='k')
