Merge pull request #32 from views-platform/development

Updated models

Author: xiaolong0728

.gitignore

@@ -40,6 +40,9 @@ __pycache__/
 # C extensions
 *.so
 
+# Misc.
+appwrite_cache/
+
 # Distribution / packaging
 .Python
 build/

README.md

@@ -8,9 +8,9 @@ This folder contains code for the Cruel Summer model, an ensemble machine learni
 |---------------------|--------------------------------|
 | **Models** | bittersweet_symphony, brown_cheese                  |
 | **Level of Analysis** | cm            |
-| **Targets**         | ln_ged_sb_dep |
+| **Targets**         | lr_ged_sb |
 | **Aggregation**       |  median   |
-| **Metrics**       |  RMSLE, CRPS    |
+| **Metrics**       |  RMSLE, CRPS, MSE, MSLE, y_hat_bar    |
 | **Deployment Status**       |  shadow    |
 
 ## Repository Structure
@@ -27,6 +27,7 @@ Cruel Summer
 │   ├── config_deployment.py
 │   ├── config_hyperparameters.py
 │   ├── config_meta.py
+│   ├── config_partitions.py
 ├── data
 │   ├── generated
 │   ├── processed

ensembles/cruel_summer/README.md

@@ -10,7 +10,7 @@ def get_meta_config():
         "name": "cruel_summer",
         "models": ["bittersweet_symphony", "brown_cheese"],
         "metrics": ["RMSLE", "CRPS", "MSE", "MSLE", "y_hat_bar"],
-        "targets": "ln_ged_sb_dep", 
+        "targets": "lr_ged_sb", 
         "level": "cm", 
         "aggregation": "median", 
         "creator": "Xiaolong",

ensembles/cruel_summer/configs/config_meta.py

@@ -21,11 +21,11 @@ def generate(steps: int = 36) -> dict:
     """
 
     def forecasting_train_range():
-        month_last = ViewsMonth.now().id - 2
+        month_last = ViewsMonth.now().id - 1
         return (121, month_last)
 
     def forecasting_test_range(steps):
-        month_last = ViewsMonth.now().id - 2
+        month_last = ViewsMonth.now().id - 1
         return (month_last + 1, month_last + 1 + steps)
 
     return {

ensembles/cruel_summer/configs/config_partitions.py

@@ -1,31 +1,18 @@
-import wandb
 import warnings
 from pathlib import Path
-from views_pipeline_core.cli.utils import parse_args, validate_arguments
-from views_pipeline_core.managers.log import LoggingManager
+from views_pipeline_core.cli import ForecastingModelArgs
 from views_pipeline_core.managers.ensemble import EnsemblePathManager, EnsembleManager
 
 warnings.filterwarnings("ignore")
 
 try:
     ensemble_path = EnsemblePathManager(Path(__file__))
-    logger = LoggingManager(ensemble_path).get_logger()
-except FileNotFoundError as fnf_error:
-    raise RuntimeError(
-        f"File not found: {fnf_error}. Check the file path and try again."
-    )
-except PermissionError as perm_error:
-    raise RuntimeError(
-        f"Permission denied: {perm_error}. Check your permissions and try again."
-    )
 except Exception as e:
     raise RuntimeError(f"Unexpected error: {e}. Check the logs for details.")
 
 
 if __name__ == "__main__":
-    wandb.login()
-    args = parse_args()
-    validate_arguments(args)
+    args = ForecastingModelArgs.parse_args()
 
     manager = EnsembleManager(
         ensemble_path=ensemble_path,

ensembles/cruel_summer/main.py

@@ -8,9 +8,9 @@ This folder contains code for the Pink Ponyclub model, an ensemble machine learn
 |---------------------|--------------------------------|
 | **Models** | bittersweet_symphony, brown_cheese, car_radio, counting_stars, demon_days, fast_car, fluorescent_adolescent, good_riddance, green_squirrel, heavy_rotation, high_hopes, little_lies, national_anthem, ominous_ox, plastic_beach, popular_monster, teen_spirit, twin_flame, yellow_submarine                  |
 | **Level of Analysis** | cm            |
-| **Targets**         | ln_ged_sb_dep |
+| **Targets**         | lr_ged_sb |
 | **Aggregation**       |  mean   |
-| **Metrics**       |  RMSLE, CRPS    |
+| **Metrics**       |  RMSLE, CRPS, MSE, MSLE, y_hat_bar    |
 | **Deployment Status**       |  shadow    |
 
 ## Repository Structure
@@ -27,6 +27,7 @@ Pink Ponyclub
 │   ├── config_deployment.py
 │   ├── config_hyperparameters.py
 │   ├── config_meta.py
+│   ├── config_partitions.py
 ├── data
 │   ├── generated
 │   ├── processed

ensembles/pink_ponyclub/README.md

@@ -29,7 +29,7 @@ def get_meta_config():
             "twin_flame",
             "yellow_submarine",
         ],
-        "targets": "ln_ged_sb_dep",
+        "targets": "lr_ged_sb",
         "level": "cm",
         "aggregation": "mean",
         "metrics": ["RMSLE", "CRPS", "MSE", "MSLE", "y_hat_bar"],

ensembles/pink_ponyclub/configs/config_meta.py

@@ -21,11 +21,11 @@ def generate(steps: int = 36) -> dict:
     """
 
     def forecasting_train_range():
-        month_last = ViewsMonth.now().id - 2
+        month_last = ViewsMonth.now().id - 1
         return (121, month_last)
 
     def forecasting_test_range(steps):
-        month_last = ViewsMonth.now().id - 2
+        month_last = ViewsMonth.now().id - 1
         return (month_last + 1, month_last + 1 + steps)
 
     return {

ensembles/pink_ponyclub/configs/config_partitions.py

@@ -1,30 +1,18 @@
-import wandb
 import warnings
 from pathlib import Path
-from views_pipeline_core.cli.utils import parse_args, validate_arguments
-from views_pipeline_core.managers.log import LoggingManager
+from views_pipeline_core.cli import ForecastingModelArgs
 from views_pipeline_core.managers.ensemble import EnsemblePathManager, EnsembleManager
 
 warnings.filterwarnings("ignore")
 
 try:
     ensemble_path = EnsemblePathManager(Path(__file__))
-    logger = LoggingManager(ensemble_path).get_logger()
-except FileNotFoundError as fnf_error:
-    raise RuntimeError(
-        f"File not found: {fnf_error}. Check the file path and try again."
-    )
-except PermissionError as perm_error:
-    raise RuntimeError(
-        f"Permission denied: {perm_error}. Check your permissions and try again."
-    )
 except Exception as e:
     raise RuntimeError(f"Unexpected error: {e}. Check the logs for details.")
 
+
 if __name__ == "__main__":
-    wandb.login()
-    args = parse_args()
-    validate_arguments(args)
+    args = ForecastingModelArgs.parse_args()
 
     manager = EnsembleManager(
         ensemble_path=ensemble_path,