HAQM Redshift now supports linear learner algorithm with Redshift ML

HAQM Redshift ML enables you to create, train, and deploy machine learning (ML) models using familiar SQL commands. With HAQM Redshift ML, you can leverage HAQM SageMaker, a fully managed machine learning service, without moving your data or learning new skills. HAQM Redshift now supports HAQM SageMaker Linear Learner algorithm for creating models with HAQM Redshift ML.

You can use linear learner algorithms for supervised training for either linear or logistic regression problems for use cases such as predicting sales of a product, determining marketing effectiveness, or to predict customer’s willingness to purchase a product or service. You can specify model_type as LINEAR_LEARNER with CREATE MODEL command to create a ML model with Linear Learner.

Linear Learner model is available in all AWS commercial regions where HAQM Redshift ML is available. See AWS Region Table for more details. You can find more information about Linear Learner algorithm from the Redshift developers guide or this blog.