Amazon SageMaker JumpStart adds LightGBM and CatBoost Models for Tabular Data
Amazon SageMaker JumpStart helps you quickly and easily solve your machine learning problems with one-click access to over 300 popular model collections from TensorFlow Hub, PyTorch Hub and Hugging Face (also known as “model zoos”), and to 17 end-to-end solutions that solve common business problems such demand forecasting, fraud detection and document understanding.
Amazon SageMaker JumpStart helps you quickly and easily solve your machine learning problems with one-click access to over 300 popular model collections from TensorFlow Hub, PyTorch Hub and Hugging Face (also known as “model zoos”), and to 17 end-to-end solutions that solve common business problems such demand forecasting, fraud detection and document understanding.
Starting today, SageMaker JumpStart adds popular models and algorithms for tabular data, including LightGBM, CatBoost, XGBoost, and Linear Learner. These models can be used for both classification and regression tasks.
Amazon SageMaker JumpStart is available in all regions where Amazon SageMaker Studio is available. To get started with these new models on SageMaker JumpStart, refer to the documentation.