from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import load_digits as load_data
import matplotlib.pyplot as plt
from scikitplot.scikitplot import classifier_factory

X, y = load_data(return_X_y=True)
rf = classifier_factory(RandomForestClassifier())
rf.plot_confusion_matrix(X, y, normalize=True)
plt.show()

@@ -1,20 +1,112 @@
+%22%22%22An example showing the plot_confusion_matrix method used by a scikit-learn classifier%22%22%22%0A
 from sklearn.ensembl

add docstring to plot_confusion_matrix example