TimeMixer
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kwuking
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
My task is to carry out power load forecasting, the data is one data point per 15min (96 time points a day), I also have temperature data in the same...
``` (TimeMixer) lisheng@sunshine-System-Product-Name:~/TimeMixer_lab/TimeMixer-main$ bash ./scripts/short_term_forecast/PEMS/PEMS04.sh 是否使用gpu：True Args in experiment: Namespace(task_name='long_term_forecast', is_training=1, model_id='PEMS04', model='TimeMixer', data='PEMS', root_path='./dataset/PEMS/', data_path='PEMS04.npz', features='M', target='OT', freq='h', checkpoints='./checkpoints/', seq_len=96, label_len=0, pred_len=12, seasonal_patterns='Monthly', inverse=False, top_k=5, num_kernels=6, enc_in=307, dec_in=307, c_out=307,...
1.When executing the short_time_forecast, running the script ./scripts/short_term_forecast/M4/TimeMixer.sh，results in the following error: ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimension....
An error
RuntimeError: The size of tensor a (96) must match the size of tensor b (144) at non-singleton dimension 1
