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| { | |
| "model_type": "sklearn", | |
| "task": "regression", | |
| "target": "nasa_radiation", | |
| "prediction_column": "prediction_label", | |
| "library_name": "pycaret", | |
| "pycaret_version": "3.2.0", | |
| "scikit_learn_version": "1.2.2", | |
| "serialization": "pickle", | |
| "estimator_class": "sklearn.ensemble.RandomForestRegressor", | |
| "pipeline": { | |
| "preprocessing": [ | |
| { | |
| "name": "numerical_imputer", | |
| "transformer": "sklearn.impute.SimpleImputer", | |
| "includes": ["sp", "t", "r2", "u10", "v10", "SUNSD", "lcc", "mcc", "hcc", "sdswrf"] | |
| }, | |
| { | |
| "name": "categorical_imputer", | |
| "transformer": "sklearn.impute.SimpleImputer", | |
| "strategy": "most_frequent", | |
| "includes": [] | |
| }, | |
| { | |
| "name": "normalize", | |
| "transformer": "sklearn.preprocessing.MinMaxScaler" | |
| } | |
| ], | |
| "trained_model": { | |
| "name": "RandomForestRegressor", | |
| "params": { | |
| "n_jobs": -1, | |
| "random_state": 123 | |
| } | |
| } | |
| }, | |
| "input_schema": { | |
| "features": [ | |
| { "name": "sp", "dtype": "float" }, | |
| { "name": "t", "dtype": "float" }, | |
| { "name": "r2", "dtype": "float" }, | |
| { "name": "u10", "dtype": "float" }, | |
| { "name": "v10", "dtype": "float" }, | |
| { "name": "SUNSD", "dtype": "float" }, | |
| { "name": "lcc", "dtype": "float" }, | |
| { "name": "mcc", "dtype": "float" }, | |
| { "name": "hcc", "dtype": "float" }, | |
| { "name": "sdswrf", "dtype": "float" } | |
| ] | |
| }, | |
| "evaluation": { | |
| "split": "holdout", | |
| "rows": 972260, | |
| "metrics": { | |
| "MAE": 75.50362673902671, | |
| "RMSE": 126.1365660235317, | |
| "R2": 0.7516510842417514 | |
| }, | |
| "notes": [ | |
| "Metrics computed from MAKING_MODEL/holdout_pred.csv using columns nasa_radiation (true) and prediction_label (pred).", | |
| "MAPE is omitted because nasa_radiation can be near zero, which makes percentage errors unstable." | |
| ] | |
| }, | |
| "training_data": { | |
| "source_file": "integrated_gfs_nasa_power_2024_full.csv", | |
| "notes": [ | |
| "See TRAINING_ARTIFACTS/README.md for training/evaluation artifacts and scripts." | |
| ] | |
| }, | |
| "artifacts": { | |
| "files": ["Suncast_v1.pkl", "config.json"] | |
| } | |
| } |