add config for informer with quantile returns

configs/evaluations/informer-btcusdt-5m-quantile-returns.yaml

@@ -0,0 +1,25 @@
+program: ./scripts/train.py
+name: informer-btcusdt-5m-quantile-eval
+project: wne-masters-thesis-testing
+command:
+  - ${env}
+  - ${interpreter}
+  - ${program}
+  - "./configs/experiments/informer-btcusdt-5m-quantile-returns.yaml"
+  - "--patience"
+  - "20"
+  - "--store-predictions"
+method: grid
+metric:
+  goal: minimize
+  name: val_loss
+parameters:
+  data:
+    parameters:
+      dataset: 
+        value: "btc-usdt-5m:latest"
+      validation:
+        value: 0.2
+      sliding_window:
+        min: 0
+        max: 5

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

@@ -5,7 +5,7 @@ past_window:
 batch_size:
   value: 64
 max_epochs:
-  value: 30
+  value: 50
 data:
   value:
     dataset: "btc-usdt-5m:latest"
@@ -55,7 +55,7 @@ fields:
 loss:
   value:
    name: "Quantile"
-   quantiles: [0.02, 0.05, 0.1, 0.25, 0.4, 0.5, 0.6, 0.75, 0.9, 0.95, 0.98]
+   quantiles: [0.1, 0.3, 0.35, 0.4, 0.5, 0.6, 0.65, 0.7, 0.9]
 model:
   value:
     name: "Informer"