Overview

This chapter describes the functions, input, output, and usage examples of all algorithm interfaces in the Kunpeng BoostKit machine learning algorithm library.

For details about the API parameters of native algorithms, see the official website. The default parameter values may vary according to Spark versions. For Spark 3.3.1, see https://archive.apache.org/dist/spark/docs/3.3.1/api/scala/org/apache/spark/index.html.

• The value ranges of API parameters and parameters of all existing machine learning algorithms library follow Spark conventions. If you set parameter values beyond the defined ranges, the corresponding Spark task may exit unexpectedly.
• API applicability:
  • The JDK version must be 1.8 or later. The Spark version is 3.3.1.
  • To run the algorithm on the big data platform, deploy HDFS, Spark, Yarn, and ZooKeeper.