Change train-test ratio to 1/10.

climax/main/downscale_train.py

@@ -121,10 +121,11 @@ if __name__ == '__main__':
             wet_days = (Obs_ds.sel(time=CALIB_PERIOD).mean(dim=('y', 'x')) >=
                         WET_DAY_THRESHOLD).to_array().values.squeeze()
             train, valid = train_test_split(
-                CALIB_PERIOD, stratify=wet_days, test_size=0.5)
+                CALIB_PERIOD, stratify=wet_days, test_size=0.1)
             train, valid = sorted(train), sorted(valid)  # sort chronologically
         else:
-            train, valid = train_test_split(CALIB_PERIOD, shuffle=False)
+            train, valid = train_test_split(CALIB_PERIOD, shuffle=False,
+                                            test_size=0.1)
 
         # training and validation dataset
         Era5_train, Obs_train = Era5_ds.sel(time=train), Obs_ds.sel(time=train)