This Redis white paper provides practical guidance for implementing common machine learning models such as decision trees, matrix operations, and linear and logistic regression in Redis-ML, an innovative Redis module.
While most machine learning toolkits focus primarily on training models, implementing custom machine learning solutions requires solutions to its own set of challenges.
Redis-ML is a Redis module that implements various machine learning models as built-in Redis data types and makes it easy to load and deploy trained models from any platform (such as Apache Spark and scikit-learn) in a production environment.
This white paper provides tutorials and sample code for various types of machine learning models implemented in Redis-ML, including:
You will also receive a link to this document at the email address you provided. Browse additional resources from our library of Case Studies, Benchmarks, and more!