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CRISP-DM – Deployment

Herramientas para servir el modelo:

  • Carga de artefactos de entrenamiento (load_artifacts).
  • Preprocesamiento para inferencia (preprocess_for_inference).
  • Construcción del DataFrame con predicciones.

Instala localmente con:

pip install -e packages/deployment

Metadata

Release files for crispdm-deployment 0.1.0

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Source distribution (sdist)

Source distribution for crispdm-deployment 0.1.0
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Table of built distributions (wheels) for crispdm-deployment 0.1.0
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crispdm_deployment-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 8.6 kB

Release files / crispdm_deployment-0.1.0.tar.gz

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