fix

downloads-generation/models_class1_cleavage/generate_hyperparameters.py

@@ -24,11 +24,11 @@ grid = []
 
 def hyperparrameters_grid():
     for learning_rate in [0.001]:
-        for convolutional_activation in ["relu", "tanh"]:
-            for convolutional_filters in [64, 128]:
+        for convolutional_activation in ["tanh"]:
+            for convolutional_filters in [64, 128, 256]:
                 for flanking_averages in [True]:
-                    for convolutional_kernel_size in [8, 9]:
-                        for l1 in [0.0, 0.000001]:
+                    for convolutional_kernel_size in [4, 6, 8, 10, 12]:
+                        for l1 in [0.0]:  #0.000001
                             for s in [[], [8]]:
                                 for d in [0.5]:
                                     new = deepcopy(base_hyperparameters)