added changes

configs/evaluations/informer-btcusdt-5m-gmadl.yaml

@@ -17,9 +17,10 @@ parameters:
   data:
     parameters:
       dataset: 
-        value: "btc-usdt-5m:latest"
+        value: "btc-5m-features-full:latest"
       validation:
         value: 0.2
       sliding_window:
-        min: 0
-        max: 5
+        # min: 0 # Use values for grid search
+        # max: 5
+        values: [0, 1, 2, 3, 4, 5] # Explicitly list values for grid search

configs/experiments/informer-btcusdt-5m-gmadl.yaml

@@ -8,7 +8,7 @@ max_epochs:
   value: 40
 data:
   value:
-    dataset: "btc-usdt-5m:latest"
+    dataset: "btc-5m-features-full:latest"
     sliding_window: 0
     validation: 0.2
 fields:

configs/experiments/informer-btcusdt-5m-quantile.yaml

@@ -8,9 +8,11 @@ max_epochs:
   value: 30
 data:
   value:
-    dataset: "btc-usdt-5m:latest"
+    # in_sample_artifact_name: "btc-5m-features-in_sample:latest" # Reverted
+    # out_of_sample_artifact_name: "btc-5m-features-out_of_sample:latest" # Reverted
+    dataset: "btc-5m-features-full:latest" # Use a single artifact name
     sliding_window: 0
-    validation: 0.2
+    validation: 0.2 # This likely controls the in-sample vs out-of-sample split in train.py
 fields:
   value:
     time_index: "time_index"

configs/sweeps/informer-btcusdt-5m-gmadl.yaml

@@ -8,7 +8,7 @@ command:
   - "./configs/experiments/informer-btcusdt-5m-gmadl.yaml"
   - "--patience"
   - "15"
-method: random
+method: bayes
 metric:
   goal: minimize
   name: val_loss

configs/sweeps/informer-btcusdt-5m-quantile.yaml

@@ -13,6 +13,8 @@ metric:
   goal: minimize
   name: val_loss
 parameters:
+  val_check_interval:
+    value: 1.0 # Validate once per epoch
   past_window:
     distribution: int_uniform
     min: 20