p03 #8 0.0266/0.0396/0.0253

03.Sunshine/code/result.csv

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03.Sunshine/code/run.py

@@ -86,12 +86,12 @@ def dt2dh(_dt, _p=False):
 print(train_ds, testa_ds)
 
 model = RNNBlockRegressor(
-    in_chunk_len=10*24,
-    out_chunk_len=10*24,
-    rnn_type_or_module="LSTM",
-    dropout=0.1,
+    in_chunk_len=7,
+    out_chunk_len=1,
+    # rnn_type_or_module="LSTM",
+    dropout=0.5,
     max_epochs=200,
-    patience=10,
+    patience=20,
     loss_fn=paddle.nn.functional.mse_loss,
     eval_metrics=['mse'],
     seed=10086,