chore: import upstream snapshot with attribution

examples/rbm.py

@@ -0,0 +1,25 @@
+import logging
+
+import numpy as np
+
+from mla.rbm import RBM
+
+logging.basicConfig(level=logging.DEBUG)
+
+
+def print_curve(rbm):
+    from matplotlib import pyplot as plt
+
+    def moving_average(a, n=25):
+        ret = np.cumsum(a, dtype=float)
+        ret[n:] = ret[n:] - ret[:-n]
+        return ret[n - 1 :] / n
+
+    plt.plot(moving_average(rbm.errors))
+    plt.show()
+
+
+X = np.random.uniform(0, 1, (1500, 10))
+rbm = RBM(n_hidden=10, max_epochs=200, batch_size=10, learning_rate=0.1)
+rbm.fit(X)
+print_curve(rbm)