MLflow Recipes (previously known as MLflow Pipelines) is a framework that enables data scientists to quickly develop high-quality models and deploy them to production.
Recipe Templates
MLflow Recipes currently offers the following predefined templates that can be easily customized to develop and deploy high-quality, production-ready models for your use cases:
- MLflow Recipes Regression Template: The MLflow Recipes Regression Template is designed for developing and scoring regression models. For more information, see the Regression Template reference guide.
- MLflow Recipes Classification Template: The MLflow Recipes Classification Template is designed for developing and scoring classification models. For more information, see the Classification Template reference guide.
MLflow Recipes Examples
Note: This example repo is intended for first-time MLflow Recipes users to learn its fundamental concepts and workflows. For users already familiar with MLflow Recipes, find a template repository to solve a specific ML problem. For example, for regression problem, use recipes-regression-template instead.