add load function for hyper band results
This commit is contained in:
@@ -39,7 +39,7 @@ def get_embedding(embedding_size, input_length, filter_size, kernel_size, hidden
|
||||
def get_model(cnnDropout, flow_features, domain_features, window_size, domain_length, cnn_dims, kernel_size,
|
||||
dense_dim, cnn, model_output="both"):
|
||||
ipt_domains = Input(shape=(window_size, domain_length), name="ipt_domains")
|
||||
encoded = TimeDistributed(cnn)(ipt_domains)
|
||||
encoded = TimeDistributed(cnn, name="domain_cnn")(ipt_domains)
|
||||
ipt_flows = Input(shape=(window_size, flow_features), name="ipt_flows")
|
||||
merged = keras.layers.concatenate([encoded, ipt_flows], -1)
|
||||
# CNN processing a small slides of flow windows
|
||||
|
Reference in New Issue
Block a user