- fixed training_remain

- added total rms error after training

src/rbm/entity.py

@@ -11,7 +11,7 @@ class Entity:
 		self.params = params
 
 	def train(self, batch: np.ndarray, cd_func: Callable, status: Status):
-		training_remain = batch.shape[1]
+		training_remain = batch.shape[0]
 		batch_size = min(self.params.mini_batch_size, training_remain)
 		if batch_size == 0:
 			batch_size = training_remain
@@ -60,6 +60,11 @@ class Entity:
 
 				progress += d_progress*batch_size_remain
 
+		# Update final status
+		err_rms = rms_error_accu(batch - self.h_to_pv(self.v_to_ph(batch)))
+		status.on_change({"progress": {"value": round(progress), "unit": "%"},
+						  "err_rms_total": {"value": err_rms, "unit": ""}})
+
 	def v_to_ph(self, v: np.ndarray) -> np.ndarray:
 		state = self.state.v_to_h(v)
 		if self.params.do_gaussian_hidden: