Upload scripts/decode_reimplementation.py with huggingface_hub

scripts/decode_reimplementation.py

@@ -427,8 +427,12 @@ def make_lstm_sequences(np, split: SplitData, lookback: int):
     n_val = len(split.y_val)
 
     xs, ys, end_indices = [], [], []
-    for end in range(lookback, len(y_all)):
-        xs.append(x_all[end - lookback:end])
+    for end in range(lookback - 1, len(y_all)):
+        # Use the sequence ending at row `end` to predict that row's target.
+        # The target was already shifted by --horizon during feature engineering,
+        # so excluding row `end` here would make sequence models forecast one
+        # extra step farther than the baseline models.
+        xs.append(x_all[end - lookback + 1:end + 1])
         ys.append(y_all[end])
         end_indices.append(end)
     xs = np.asarray(xs)