Updated the default parameters to make the problem more realistic

Author: bvanessen

Pilot2/P2B1/p2b1_baseline_keras2.py

@@ -80,7 +80,7 @@ def run(GP):
 
     # set the seed
     if GP['seed']:
-        np.random.seed(7)
+        np.random.seed(GP['seed'])
     else:
         np.random.seed(np.random.randint(10000))
 
@@ -279,7 +279,7 @@ def step_decay(epoch):
 #### Train the Model
     if GP['train_bool']:
         ct = hf.Candle_Molecular_Train(molecular_model, molecular_encoder, data_files, mb_epochs, callbacks,
-                                       batch_size=32, nbr_type=GP['nbr_type'], save_path=GP['save_path'],
+                                       batch_size=batch_size, nbr_type=GP['nbr_type'], save_path=GP['save_path'],
                                        len_molecular_hidden_layers=len_molecular_hidden_layers,
                                        molecular_nbrs=molecular_nbrs,
                                        conv_bool=conv_bool,

Pilot2/P2B1/p2b1_default_model.txt

@@ -1,6 +1,6 @@
 [Global_Params]
 num_hidden=[512,32]
-batch_size=32
+batch_size=64
 learning_rate=0.01
 epochs=2
 cool=False
@@ -11,9 +11,9 @@ loss='custom'
 activation='relu'
 molecular_nonlinearity='elu'
 molecular_num_hidden=[256, 128, 64, 32, 16, 8]
-molecular_nbrs = 10
+molecular_nbrs = 200
 base_memo='p2b1'
 drop_prob = 0.5
 data_set='3k_Ordered'
-sampling_density = 0.05
+sampling_density = 0.15
 save_path='.'