docs: ✏️ update example configs

GestaltCogTeam · Sep 23, 2024 · ec4d153 · ec4d153
1 parent 0041473
commit ec4d153
Show file tree

Hide file tree

Showing 2 changed files with 2 additions and 2 deletions.
diff --git a/examples/complete_config.py b/examples/complete_config.py
@@ -209,5 +209,5 @@
 CFG.EVAL = EasyDict()
 
 # Evaluation parameters
-CFG.EVAL.HORIZONS = [3, 6, 12] # Prediction horizons for evaluation. Default: []
+CFG.EVAL.HORIZONS = [3, 6, 12]  # The prediction horizons for evaluation. Default value: []. NOTE: HORIZONS[i] refers to testing **on the i-th** time step, representing the loss for that specific time step. This is a common setting in spatiotemporal forecasting. For long-sequence predictions, it is recommended to keep HORIZONS set to the default value [] to avoid confusion.
 CFG.EVAL.USE_GPU = True # Whether to use GPU for evaluation. Default: True
diff --git a/examples/complete_config_cn.py b/examples/complete_config_cn.py
@@ -212,5 +212,5 @@
 CFG.EVAL = EasyDict()
 
 # 评估参数
-CFG.EVAL.HORIZONS = [3, 6, 12] # 评估的预测时间范围。默认值：[]
+CFG.EVAL.HORIZONS = [3, 6, 12]  # 评估时的预测时间范围。默认值为 []。注意：HORIZONS[i] 指的是在 ”第 i 个时间片“ 上进行测试，表示该时间片的损失（Loss）。这是时空预测中的常见配置。对于长序列预测，建议将 HORIZONS 保持为默认值 []，以避免引发误解。
 CFG.EVAL.USE_GPU = True # 是否在评估时使用 GPU。默认值：True