# Argument -- model
```
MrsFormer: mra_head; Softmax: transformer; MRA2: MRA2_full; MRA-s: MRA2_sparse; Linear Transformer: linear_transformer; MrsLinear Transformer: linear_transformer_mra_head; FMM transformer: fmm_transformer; MrsFMM transformer: fmm_transformer_mra_head; Linformer: linformer, MrsLinformer: linformer_mra_head; Performer: performer; MrsPerformer: performer_mra_head, LUNA: luna, MrsLUNA: luna_mra_head
```
# SelfRegulationSCP2
```
python main.py --output_dir experiments --model "mra_head" --comment "classification for mra_head" --name SelfRegulationSCP2 --records_file Classification_records.xls --data_dir Multivariate_ts/SelfRegulationSCP2 --data_class tsra --pattern TRAIN --val_pattern TEST --epochs 100 --lr 0.001 --batch_size 16 --optimizer RAdam  --pos_encoding learnable  --task classification  --key_metric accuracy &
```
# PEMS-SF
```
python main.py --output_dir experiments --model "mra_head" --comment "classification for mra_head" --name PEMS-SF --records_file Classification_records.xls --data_dir Multivariate_ts/PEMS-SF --data_class tsra --pattern TRAIN --val_pattern TEST --epochs 400 --lr 0.001 --batch_size 16 --optimizer RAdam  --pos_encoding learnable  --task classification  --key_metric accuracy &
```
# UWaveGestureLibrary
```
python main.py --output_dir experiments --model "mra_head" --comment "classification for mra_head" --name UWaveGestureLibrary --records_file Classification_records.xls --data_dir Multivariate_ts/UWaveGestureLibrary --data_class tsra --pattern TRAIN --val_pattern TEST --epochs 100 --lr 0.001 --batch_size 16 --optimizer RAdam  --pos_encoding learnable  --task classification  --key_metric accuracy &
```