MLeap PySpark Integration
- Serialization/Deserialization of Transformers and Pipelines to and from Bundle.ML
- Support for custom transformers
To use MLeap you do not have to change how you construct your existing pipelines, so the rest of the documentation is going to focus on how to serialize and deserialize your pipeline to and from bundle.ml.To see how to execute your pipeline outside of Spark, refer to the MLeap Runtime section.
Serializing with PySpark
In order to serialize to a zip file, make sure the URI begins with and ends with a .
Support coming soon