jerry/OpenBB
1
0
Fork 0
mirror of https://github.com/OpenBB-finance/OpenBB.git synced 2026-11-09 10:51:57 +00:00
Code Issues Packages Projects Releases Wiki Activity

Use ==/!= to compare constant literals (str, bytes, int, float, tuple)

Browse Source
This commit is contained in:
Christian Clauss
2021-02-27 15:00:28 +01:00
committed by GitHub
parent d3a4b90bde
commit d7e613fc78
1 changed files with 3 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
prediction_techniques/neural_networks.py
View File

@@ -27,7 +27,7 @@ def build_neural_network_model(Recurrent_Neural_Network, n_inputs, n_days):
for idx_layer, d_layer in enumerate(Recurrent_Neural_Network):
# Recurrent Neural Network
if str(*d_layer) is 'SimpleRNN':
if str(*d_layer) == 'SimpleRNN':
# Is this the input layer? If so, define input_shape
if idx_layer == 0:
model.add(SimpleRNN(**d_layer['SimpleRNN'], input_shape=(n_inputs, 1)))
@@ -38,7 +38,7 @@ def build_neural_network_model(Recurrent_Neural_Network, n_inputs, n_days):
model.add(SimpleRNN(**d_layer['SimpleRNN']))
# Long-Short Term-Memory
elif str(*d_layer) is 'LSTM':
elif str(*d_layer) == 'LSTM':
# Is this the input layer? If so, define input_shape
if idx_layer == 0:
model.add(LSTM(**d_layer['LSTM'], input_shape=(n_inputs, 1)))
@@ -49,7 +49,7 @@ def build_neural_network_model(Recurrent_Neural_Network, n_inputs, n_days):
model.add(LSTM(**d_layer['LSTM']))
# Dense (Simple Neuron)
elif str(*d_layer) is 'Dense':
elif str(*d_layer) == 'Dense':
# Is this the input layer? If so, define input_shape
if idx_layer == 0:
model.add(Dense(**d_layer['Dense'], input_dim=n_inputs))