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model2=[TiDE(h=horizon, input_size=12, loss=MAE(), scaler_type='minmax', learning_rate=1e-3, max_steps=100, val_check_steps=100, early_stop_patience_steps=4, futr_exog_list=['vacation_num'], batch_size=32)] model3=[TiDE(h=horizon, input_size=12, loss=MAE(), scaler_type='minmax', learning_rate=1e-3, max_steps=100, val_check_steps=100, early_stop_patience_steps=4, futr_exog_list=['timeinformation'], batch_size=32)] I added two covariates separately, but why are the prediction results exactly the same?
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model2=[TiDE(h=horizon,
input_size=12,
loss=MAE(),
scaler_type='minmax',
learning_rate=1e-3,
max_steps=100,
val_check_steps=100,
early_stop_patience_steps=4,
futr_exog_list=['vacation_num'],
batch_size=32)]
model3=[TiDE(h=horizon,
input_size=12,
loss=MAE(),
scaler_type='minmax',
learning_rate=1e-3,
max_steps=100,
val_check_steps=100,
early_stop_patience_steps=4,
futr_exog_list=['timeinformation'],
batch_size=32)]
I added two covariates separately, but why are the prediction results exactly the same?
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No response
The text was updated successfully, but these errors were encountered: