More parameterfiles and changed num_kmer_switches to 1

nns/hyperparams/CnnParameterFile.yaml

@@ -16,7 +16,7 @@ filters: 5
 kernel_size: 19
 learning_rate: 0.002
 num_batches: 320
-num_kmer_switches: 10
+num_kmer_switches: 1
 num_layers: 2
 pool_size: 8 # Pool size to use for 1d maxpool
 threshold: 0.0

nns/hyperparams/CnnParameterFile_big_model_width250.yaml

+#########################################
+#      CONVOLUTIONAL NEURAL NETWORK     #
+#            PARAMETER FILE             #
+#########################################
+
+# Just built this to do some more messing about
+
+# CNN ARCHITECTURE
+nn_class: Cnn_test
+batch_norm: 0
+batch_size: 32
+dropout_keep_prob: 0.75
+eps_per_kmer_switch: 30
+max_sequence_length: 15000
+filter_width: 250
+filters: 6
+kernel_size: 19
+learning_rate: 0.001
+num_batches: 320
+num_kmer_switches: 1
+num_layers: 4
+pool_size: 8 # Pool size to use for 1d maxpool
+threshold: 0.0

nns/hyperparams/CnnParameterFile_width150.yaml

@@ -16,7 +16,7 @@ filters: 5
 kernel_size: 19
 learning_rate: 0.002
 num_batches: 320
-num_kmer_switches: 10
+num_kmer_switches: 1
 num_layers: 2
 pool_size: 8 # Pool size to use for 1d maxpool
 threshold: 0.0

nns/hyperparams/CnnParameterFile_width500.yaml

@@ -16,7 +16,7 @@ filters: 5
 kernel_size: 19
 learning_rate: 0.002
 num_batches: 320
-num_kmer_switches: 10
+num_kmer_switches: 1
 num_layers: 2
 pool_size: 8 # Pool size to use for 1d maxpool
 threshold: 0.0