Introduction to SAIL Models
SAIL provides wrappers for machine learning models created using popular machine learning (ML) libraries. It wraps ML models and exposes Scikit-learn like APIs for uniform experiences across the SAIL Ecosystem - Models, Training and Pipelines.
SAIL contains wrappers for:
- River
- TensorFlow / Keras
- PyTorch
- SAIL native models
- Ensemble models via Scikit-multiflow
Once wrapped inside a SAIL wrapper, the ML model can be used interchangeably with SAIL Pipelines, SAIL AutoML, and distributed training / tuning using the Ray API.