From 6a1f9d30f379ab7d099b481cd0eac77d6fca0809 Mon Sep 17 00:00:00 2001
From: gameloader <ggwqqo@163.com>
Date: Thu, 11 Sep 2025 17:11:17 +0800
Subject: [PATCH] refactor(scripts): update xPatch_SparseChannel forecast
 scripts

---
 .../xPatch_SparseChannel_all-Copy1.sh         |  2 +-
 .../xPatch_SparseChannel_all.sh               | 80 ++++++++++---------
 2 files changed, 45 insertions(+), 37 deletions(-)

diff --git a/scripts/long_term_forecast/xPatch_SparseChannel_all-Copy1.sh b/scripts/long_term_forecast/xPatch_SparseChannel_all-Copy1.sh
index 40b9723..aa07a76 100644
--- a/scripts/long_term_forecast/xPatch_SparseChannel_all-Copy1.sh
+++ b/scripts/long_term_forecast/xPatch_SparseChannel_all-Copy1.sh
@@ -106,7 +106,7 @@ python -u run.py \
   --n_heads 16 \
   --patch_len 16 \
   --stride 8 \
-  --k_graph 8 \
+  --k_graph 7 \
   --dropout 0.1 \
   --revin 1 \
   --des 'Exp' \
diff --git a/scripts/long_term_forecast/xPatch_SparseChannel_all.sh b/scripts/long_term_forecast/xPatch_SparseChannel_all.sh
index f870afe..b31cd17 100644
--- a/scripts/long_term_forecast/xPatch_SparseChannel_all.sh
+++ b/scripts/long_term_forecast/xPatch_SparseChannel_all.sh
@@ -2,6 +2,50 @@
 
 model_name=xPatch_SparseChannel
 
+# Traffic dataset
+for pred_len in 96 192 336 720
+do
+python -u run.py \
+  --task_name long_term_forecast \
+  --is_training 1 \
+  --root_path ./dataset/traffic/ \
+  --data_path traffic.csv \
+  --model_id traffic_$pred_len'_'$pred_len \
+  --model $model_name \
+  --data custom \
+  --features M \
+  --seq_len 96 \
+  --label_len 48 \
+  --pred_len $pred_len \
+  --e_layers 2 \
+  --d_layers 1 \
+  --enc_in 862 \
+  --batch_size 256 \
+  --learning_rate 0.0005 \
+  --use_multi_gpu True \
+  --lradj 'sigmoid' \
+  --train_epochs 50 \
+  --patience 5 \
+  --c_out 862 \
+  --d_model 128 \
+  --d_ff 256 \
+  --n_heads 16 \
+  --patch_len 16 \
+  --stride 8 \
+  --k_graph 10 \
+  --dropout 0.1 \
+  --revin 1 \
+  --des 'Exp' \
+  --itr 1 \
+  --season_encoder 'Transformer' \
+  --thr_graph 0.6 \
+  --symmetric_graph 1 \
+  --degree_rescale 'none' \
+  --gate_temperature 0.6667 \
+  --tau_attn 1.0 \
+  --season_l0_lambda 0.0000
+done
+
 # ECL dataset
 for pred_len in 96 192 336 720
 do
@@ -39,39 +83,3 @@ python -u run.py \
   --itr 1
 done
 
-# Traffic dataset
-for pred_len in 96 192 336 720
-do
-python -u run.py \
-  --task_name long_term_forecast \
-  --is_training 1 \
-  --root_path ./dataset/traffic/ \
-  --data_path traffic.csv \
-  --model_id traffic_$pred_len'_'$pred_len \
-  --model $model_name \
-  --data custom \
-  --features M \
-  --seq_len 96 \
-  --label_len 48 \
-  --pred_len $pred_len \
-  --e_layers 2 \
-  --d_layers 1 \
-  --enc_in 862 \
-  --batch_size 256 \
-  --learning_rate 0.0005 \
-  --use_multi_gpu True \
-  --lradj 'sigmoid' \
-  --train_epochs 50 \
-  --patience 5 \
-  --c_out 862 \
-  --d_model 128 \
-  --d_ff 256 \
-  --n_heads 16 \
-  --patch_len 16 \
-  --stride 8 \
-  --k_graph 8 \
-  --dropout 0.1 \
-  --revin 1 \
-  --des 'Exp' \
-  --itr 1
-done