add sk_mlp

Author: bob7783

unsupervised_class2/sk_mlp.py

@@ -0,0 +1,33 @@
+# https://deeplearningcourses.com/c/data-science-deep-learning-in-theano-tensorflow
+# https://www.udemy.com/data-science-deep-learning-in-theano-tensorflow
+from __future__ import print_function, division
+from future.utils import iteritems
+from builtins import range, input
+# Note: you may need to update your version of future
+# sudo pip install -U future
+
+
+import numpy as np
+from sklearn.neural_network import MLPRegressor
+from util import getKaggleMNIST
+
+
+
+# get data
+X, _, Xt, _ = getKaggleMNIST()
+
+# create the model and train it
+model = MLPRegressor()
+model.fit(X, X)
+
+# test the model
+print("Train R^2:", model.score(X, X))
+print("Test R^2:", model.score(Xt, Xt))
+
+Xhat = model.predict(X)
+mse = ((Xhat - X)**2).mean()
+print("Train MSE:", mse)
+
+Xhat = model.predict(Xt)
+mse = ((Xhat - Xt)**2).mean()
+print("Test MSE:", mse)