[jayRnn]

- adjusted params

JayRnn.py

@@ -27,7 +27,7 @@ from rbm.status import Status
 TEXT    = "Call me Ishmael. Some years ago" # the character sequence to learn (matches diagram example)
 WIN    = 2         # sliding-window width  (= N in the diagram)
 STRIDE = 1     	   # sliding-window step size
-UNITS  = 3
+UNITS  = 5
 H_SIZE = 128         # hidden units per RBM cell
 NUM_EPOCHS = 1000
 NUM_ITERATIONS = 1
@@ -36,7 +36,7 @@ TRAIN_PARAMS = TrainingParams(
 	learning_rate    = 0.1,
 	momentum         = 0.5,
 	num_epochs       = NUM_EPOCHS,
-	do_rao_blackwell = True,
+	do_rao_blackwell = False,
 	num_gibbs_samples= 1
 )
 #WIN=3
@@ -56,8 +56,8 @@ def str2vec(ch_str: str) -> Mat:
 def to_window(text: str) -> list[str]:
 	result = []
 	_win = [' ']*UNITS
+	for _i in range(WIN - 1):
 		for ch in text:
-		for _i in range(WIN-1):
 			_win = _win[1:WIN] + [ch]
 			result += _win