rename forecast_history to hindcast_length, test_path to case_dir

Author: OuyangWenyu

experiments/evaluate_with_era5land.py

@@ -52,7 +52,7 @@ def get_config_data():
         gage_id=gage_id,
         model_loader={"load_way": "best"},
         batch_size=1024,
-        forecast_history=240,
+        hindcast_length=240,
         forecast_length=56,
         min_time_unit="h",
         min_time_interval=3,

experiments/evaluate_with_gpm.py

@@ -53,7 +53,7 @@ def get_config_data():
         gage_id=gage_id,
         model_loader={"load_way": "best"},
         batch_size=1024,
-        forecast_history=240,
+        hindcast_length=240,
         forecast_length=56,
         min_time_unit="h",
         min_time_interval=3,

experiments/evaluate_with_gpm_streamflow.py

@@ -54,7 +54,7 @@ def get_config_data():
         gage_id=gage_id,
         model_loader={"load_way": "best"},
         batch_size=1024,
-        forecast_history=240,
+        hindcast_length=240,
         forecast_length=56,
         min_time_unit="h",
         min_time_interval=3,

experiments/run_camelsdplxaj_experiments.py

@@ -85,7 +85,7 @@ def run_dplxaj(train_period=None, valid_period=None, test_period=None):
         valid_period=valid_period,
         test_period=test_period,
         batch_size=20,
-        forecast_history=0,
+        hindcast_length=0,
         forecast_length=30,
         var_t=[
             "prcp",

experiments/run_camelslstm_experiments.py

@@ -81,7 +81,7 @@ def run_normal_dl(
         dataset="StreamflowDataset",
         scaler="DapengScaler",
         batch_size=512,
-        forecast_history=0,
+        hindcast_length=0,
         forecast_length=366,
         var_t=var_t,
         var_c=var_c,

experiments/train_with_aus.py

@@ -59,7 +59,7 @@ def config():
         test_period=["2015-01-01", "2020-01-01"],
         valid_period=["2020-01-01", "2022-01-01"],
         batch_size=100,
-        forecast_history=30,
+        hindcast_length=30,
         forecast_length=30,
         min_time_unit="D",
         min_time_interval=1,

experiments/train_with_era5land.py

@@ -68,7 +68,7 @@ def config():
         gage_id=gage_id,
         # gage_id=["21400800", "21401550", "21401300", "21401900"],
         batch_size=256,
-        forecast_history=240,
+        hindcast_length=240,
         forecast_length=56,
         min_time_unit="h",
         min_time_interval=3,

experiments/train_with_gpm.py

@@ -64,7 +64,7 @@ def config():
         gage_id=gage_id,
         # gage_id=["21400800", "21401550", "21401300", "21401900"],
         batch_size=256,
-        forecast_history=240,
+        hindcast_length=240,
         forecast_length=56,
         min_time_unit="h",
         min_time_interval=3,

experiments/train_with_gpm_dis.py

@@ -59,7 +59,7 @@ def create_config():
         # gage_id=gage_id,
         gage_id=["21400800", "21401550"],
         batch_size=1024,
-        forecast_history=240,
+        hindcast_length=240,
         forecast_length=3,
         min_time_unit="h",
         min_time_interval=3,

experiments/train_with_gpm_streamflow.py

@@ -64,7 +64,7 @@ def create_config():
         model_loader={"load_way": "best"},
         gage_id=gage_id,
         batch_size=1024,
-        forecast_history=240,
+        hindcast_length=240,
         forecast_length=56,
         min_time_unit="h",
         min_time_interval=3,