MLflow Models

Built-In Model Flavors

MLflow provides several standard flavors that might be useful in your applications. Specifically, many of its deployment tools support these flavors, so you can export your own model in one of these flavors to benefit from all these tools:

• Python Function (python_function)
• R Function (crate)
• H2O (h2o)
• Keras (keras)
• MLeap (mleap)
• PyTorch (pytorch)
• Scikit-learn (sklearn)
• Spark MLlib (spark)
• TensorFlow (tensorflow)
• ONNX (onnx)
• MXNet Gluon (gluon)
• XGBoost (xgboost)
• LightGBM (lightgbm)
• CatBoost (catboost)
• Spacy(spaCy)
• Fastai(fastai)
• Statsmodels (statsmodels)
• Prophet (prophet)
• Pmdarima (pmdarima)
• Diviner (diviner)

https://www.mlflow.org/docs/latest/models.html#built-in-model-flavors

相关文章：
mlflow | 官方文档

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