Add gmadl loss function

configs/experiments/temporal-fusion-btcusdt-gmadl.yaml

@@ -0,0 +1,67 @@
+future_window:
+  value: 1
+past_window:
+  value: 24
+batch_size:
+  value: 64
+max_epochs:
+  value: 30
+data:
+  value:
+    dataset: "btc-usdt-5m:latest"
+    sliding_window: 4
+    validation: 0.2
+    fields:
+      time_index: "time_index"
+      target: "returns"
+      group_ids: ["group_id"]
+      dynamic_unknown_real:
+        - "high_price"
+        - "low_price"
+        - "open_price"
+        - "close_price"
+        - "volume"
+        - "open_to_close_price"
+        - "high_to_close_price"
+        - "low_to_close_price"
+        - "high_to_low_price"
+        - "returns"
+        - "log_returns"
+        - "vol_1h"
+        - "macd"
+        - "macd_signal"
+        - "rsi"
+        - "low_bband_to_close_price"
+        - "up_bband_to_close_price"
+        - "mid_bband_to_close_price"
+        - "sma_1h_to_close_price"
+        - "sma_1d_to_close_price"
+        - "sma_7d_to_close_price"
+        - "ema_1h_to_close_price"
+        - "ema_1d_to_close_price"
+      dynamic_unknown_cat: []
+      dynamic_known_real: []
+      dynamic_known_cat:
+        - "hour"
+      static_real:
+        - "effective_rates"
+        - "vix_close_price"
+        - "fear_greed_index"
+        - "vol_1d"
+        - "vol_7d"
+      static_cat:
+        - "weekday"
+loss:
+  value:
+   name: "GMADL"
+   a: 1000
+   b: 2
+model:
+  value:
+    name: "TemporalFusionTransformer"
+    hidden_size: 64
+    dropout: 0.1
+    attention_head_size: 2
+    hidden_continuous_size: 8
+    learning_rate: 0.001
+    optimizer: "Adam"