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config.yaml
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config.yaml
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# General
Device : 'cuda'
num_epochs : 1
seed : 42
Dataset :
samples_per_test : 32768
Total_test : 24
test_Duration : 2
model :
# model Maybe adding dropout in LSTM is good
input_horizon : 200
# model-LSTM
LSTM_outFeature : 60
LSTM_NumLayer : 1
LSTM_hidden_size : 50
# model-CNN
CNN_inChannel : 1
CNN_outChannel : 10
CNN_outFeature : 80
CWT :
Scales : 17 # 50
wavelet_lis : ['mexh','morl','gaus1','cmor1-1.0'] # Define the wavelet and scales
wavelet : 1 # You can choose other wavelet functions as well
Coefficient_Real : True
loss:
label_smoothing : 0.3
optimizer:
learning_rate : 0.0001
momentum : 0.9
weight_decay : 0.001