Tabular Regression
Scikit-learn
Spanish
machine-learning
regression
linear-regression
educational-example
skops
Instructions to use amandaodoo/casas-sklearn-exportar-skops with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use amandaodoo/casas-sklearn-exportar-skops with Scikit-learn:
# ⚠️ Model filename not specified in config.json
- Notebooks
- Google Colab
- Kaggle
Download exportar.py from amandaodoo/casas-sklearn-exportar-skops: direct link, hf CLI and curl.
- Browser
- Download file 537 Bytes
-
https://huggingface.co/amandaodoo/casas-sklearn-exportar-skops/resolve/main/exportar.py
- Command line
-
hf download hf://amandaodoo/casas-sklearn-exportar-skops/exportar.py
-
curl -L -o exportar.py https://huggingface.co/amandaodoo/casas-sklearn-exportar-skops/resolve/main/exportar.py
537 Bytes
| """Exporta el modelo de scikit-learn en formato skops: model.skops. | |
| No vuelve a entrenar: parte de ../sklearn-entrenamiento-evaluacion/model.joblib | |
| (correr antes ese train.py). | |
| Uso: | |
| python exportar.py | |
| """ | |
| from pathlib import Path | |
| import joblib | |
| import skops.io as sio | |
| CARPETA = Path(__file__).parent | |
| modelo = joblib.load(CARPETA.parent / "sklearn-entrenamiento-evaluacion" / "model.joblib") | |
| sio.dump(modelo, CARPETA / "model.skops") # guarda el objeto sin usar pickle | |
| print("Modelo guardado en model.skops") | |