Update training setting.

examples/benchmarks/LSTM/workflow_config_lstm.yaml

@@ -8,6 +8,20 @@ data_handler_config: &data_handler_config
     fit_start_time: 2008-01-01
     fit_end_time: 2014-12-31
     instruments: *market
+    infer_processors:
+        - class: RobustZScoreNorm
+          kwargs:
+              fields_group: feature
+              clip_outlier: true
+        - class: Fillna
+          kwargs:
+              fields_group: feature
+    learn_processors:
+        - class: DropnaLabel
+        - class: CSRankNorm
+          kwargs:
+              fields_group: label
+    label: ["Ref($close, -2) / Ref($close, -1) - 1"]
 port_analysis_config: &port_analysis_config
     strategy:
         class: TopkDropoutStrategy
@@ -37,7 +51,7 @@ task:
             lr: 1e-3
             early_stop: 20
             batch_size: 800
-            metric: IC
+            metric: loss
             loss: mse
             seed: 0
             GPU: 0
@@ -46,7 +60,7 @@ task:
         module_path: qlib.data.dataset
         kwargs:
             handler:
-                class: ALPHA360_Denoise
+                class: ALPHA360
                 module_path: qlib.contrib.data.handler
                 kwargs: *data_handler_config
             segments: