[Batch job] RNN 35 - 4 - Numdays 73

config.yml

 # Dataset Configuration
 Dataset:
-  num_days: 1095 # Test with sequence of 1 day
+  num_days: 73 # Test with sequence of 1 day - should be the same as in Test -
   batch_size: 64
   num_workers: 7
   valid_ratio: 0.2
@@ -13,7 +13,8 @@ Dataset:
   _ENCODING_ENDIAN: "<"
 
 # Data Transformation
-ApproximativeStats: True
+ApproximativeStats: False
+
 ApproximativeMean: "torch.tensor([ 4.2457e+01,  7.4651e+00,  1.6738e+02,  1.3576e+09,  2.3628e+00,
          4.6839e+01,  2.3855e-01,  3.6535e+00,  1.9776e+00,  2.2628e+02,
          8.1003e+00,  1.8691e-01,  3.8384e+01,  2.6626e+00,  1.4315e+01,
@@ -39,7 +40,7 @@ Training:
   
 #Model selection
 Model:
-  Name: BidirectionalLSTM
+  Name: RNN
 
 #Model parameters selection
 LinearRegression:
@@ -52,7 +53,11 @@ BidirectionalLSTM:
   HiddenSize: 70
   NumLayers: 4
   Initialization: None
-  
+
+RNN:
+  HiddenSize: 35
+  NumLayers: 4
+  Initialization: None
 
 #Name of directory containing logs
 LogDir: ./logs/