Open HAUNGTOFU opened 1 month ago
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?
No response
Description
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?
Link
No response