#!/bin/bash
 
model="diffkanformer"
use_cond=2
use_tphi=1
 
description="Exp"
 
filename="classification"
 
device=1
 
 
dataset="Handwriting"
attn_dropout=0.1
hidden_dim=256
mlp_ratio=2
n_depth=1
n_emb=1
n_heads=8
timesteps=100
 
 
d_model_feature=256
 
python -u run.py \
  --task_name classification \
  --is_training 1 \
  --root_path ./dataset/"$dataset"/ \
  --model_id "$dataset" \
  --model "$model" \
  --data UEA \
  --batch_size 64 \
  --train_epochs 200 \
  --des "$description" \
  --n_emb $n_emb \
  --n_heads $n_heads \
  --attn_dropout $attn_dropout \
  --mlp_ratio $mlp_ratio \
  --n_depth $n_depth \
  --hidden_dim $hidden_dim \
  --use_tphi $use_tphi \
  --filename $filename \
  --c_out 3 \
  --normalize True \
  --use_cond $use_cond \
  --gpu $device \
  --tphi_loss True \
  --timesteps $timesteps \
  --patience 20 \
  --d_model_feature $d_model_feature