Introduction to Model Deployment

Model Deployment allows you to take an already trained machine learning model and deploy it as a Service for real-time inference without writing any code for the Service itself!

At the time of writing, we support the following frameworks:

• scikit-learn (sklearn)
• XGBoost
• LightGBM
• Tensorflow / Keras
• PyTorch

The models themselves can be provided using:

• Truefoundry Model Registry
• AWS S3 Buckets (public objects only)
• HTTP links (publically downloadable)