[entity]

- refactored training parameters for grad_compute()
- added l1-norm
- improved tests

src/tests/test_linear.py

@@ -40,7 +40,7 @@ def linear():
 	model.init(0.1)
 
 	# Load weights (if exists)
-	model.load()
+#	model.load()
 
 	# Prepare training data
 	training_batch = np.random.randn(N_CASES, N_VIS, dtype=np.float64)