Apache Spark MLlib is the Apache Spark machine learning library consisting of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, and underlying optimization primitives. Databricks recommends the following Apache Spark MLLib guides:
The following notebooks demonstrate how to use various Apache Spark MLlib features using Databricks.
For reference information about MLlib features, Databricks recommends the following Apache Spark API reference:
For using Apache Spark MLlib from R, refer to the R machine learning documentation.
For Databricks support for visualizing machine learning algorithms, see Machine learning visualizations.