MLeap is a serialization format and execution engine for machine learning pipelines. You can find the package at the MLeap GitHub repo. It is an open source package and employs the Apache 2.0 license. For licensing details, see the MLeap license.
- MLeap works with Spark versions 2.0, 2.1, 2.2, 2.3, and 2.4.
- This guide is not a comprehensive guide on MLeap. Refer to the MLeap documentation.
MLeap is included in Databricks Runtime for Machine Learning, a Databricks Runtime runtime that provides a ready-to-go environment for machine learning and data science. Instead of installing MLeap using the instructions below, you can simply create a cluster using Databricks Runtime ML. See Databricks Runtime for Machine Learning.
The following notebooks provide guidance on installing MLeap on Azure Databricks and give an example of a Model Export workflow.