Instructions to use thananchayan/crop-yield-regressor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use thananchayan/crop-yield-regressor with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("thananchayan/crop-yield-regressor", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
| { | |
| "categorical_features": [ | |
| "Area", | |
| "Item" | |
| ], | |
| "dataset_path": "C:\\Users\\ACER\\Desktop\\THANA\\ACADEMIC\\career\\Course_06_Develop Production-Ready ML APIs with MLOps\\crop-yield-prediction-mlops\\data\\yield_df.csv", | |
| "dataset_rows": 25932, | |
| "dataset_sha256": "3d47d3fdc35950b5333348c0d28dbe5534346237813dd1db9d4c26f2935d888b", | |
| "environment": { | |
| "joblib": "1.5.2", | |
| "numpy": "2.2.6", | |
| "pandas": "2.3.2", | |
| "python": "3.12.2", | |
| "scikit-learn": "1.7.2" | |
| }, | |
| "feature_columns": [ | |
| "Area", | |
| "Item", | |
| "Year", | |
| "average_rain_fall_mm_per_year", | |
| "pesticides_tonnes", | |
| "avg_temp" | |
| ], | |
| "hf_repo_id": "your-username/crop-yield-regressor", | |
| "license": "mit", | |
| "metrics": { | |
| "mae": 8942.26475087505, | |
| "mean_prediction": 77857.59361000948, | |
| "mse": 263803589.27739584, | |
| "r2": 0.9636027103933975, | |
| "rmse": 16242.031562504608 | |
| }, | |
| "model_artifact": "crop_yield_model.joblib", | |
| "model_id": "crop-yield-regressor", | |
| "model_params": { | |
| "l2_regularization": 0.0, | |
| "learning_rate": 0.08, | |
| "max_iter": 300, | |
| "max_leaf_nodes": 31, | |
| "random_state": 42 | |
| }, | |
| "model_path": "C:\\Users\\ACER\\Desktop\\THANA\\ACADEMIC\\career\\Course_06_Develop Production-Ready ML APIs with MLOps\\crop-yield-prediction-mlops\\artifacts\\models\\v3.0.0\\crop_yield_model.joblib", | |
| "model_sha256": "22bd7a92a459ab3534136cb4c9c4a2ada9432a11cacc7fb5dc0bb36eab164077", | |
| "model_type": "HistGradientBoostingRegressor", | |
| "model_version": "v3.0.0", | |
| "numeric_features": [ | |
| "Year", | |
| "average_rain_fall_mm_per_year", | |
| "pesticides_tonnes", | |
| "avg_temp" | |
| ], | |
| "preprocessor_artifact": "crop_yield_preprocessor.joblib", | |
| "preprocessor_path": "C:\\Users\\ACER\\Desktop\\THANA\\ACADEMIC\\career\\Course_06_Develop Production-Ready ML APIs with MLOps\\crop-yield-prediction-mlops\\artifacts\\models\\v3.0.0\\crop_yield_preprocessor.joblib", | |
| "preprocessor_sha256": "e29d5f6b2dd707777a5d8f780239fab19220de143f6a59895c00a09fd9803bae", | |
| "random_state": 42, | |
| "target_column": "hg/ha_yield", | |
| "test_rows": 5187, | |
| "test_size": 0.2, | |
| "train_rows": 20745, | |
| "trained_at": "2026-07-04T07:13:01.715356+00:00" | |
| } |