cd_binary_binary: added gibbs sampling

src/rbm/entity.py

@@ -102,7 +102,6 @@ class Entity:
 		state = self.state.v_to_h(v)
 		return state
 
-
 	def v_given_h(self, h: Mat) -> Mat:
 		state = self.state.h_to_v(h)
 		return state

src/rbm/train.py

@@ -100,8 +100,10 @@ def cd_binary_binary(entity: Entity, data_pos: Mat, params: TrainingParams):
 	data_neg = prob(entity.v_given_h(h_probs_pos))
 	h_probs_neg = prob(entity.h_given_v(data_neg))
 
-	# Gibbs	sampling with training params
-	# ToDo
+	# Gibbs	sampling
+	for _ in range(params.num_gibbs_samples-1):
+		data_neg = prob(entity.v_given_h(h_probs_neg))
+		h_probs_neg = prob(entity.h_given_v(data_neg))
 
 	# Update weights (negative phase)
 	dw -= np.dot(np.transpose(data_neg), h_probs_neg)