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Overview

To run machine learning algorithms, you need to download the binary package from the Huawei support website and decompress the package to obtain the machine learning algorithm library packages, for example, packages for BoostKit-ML-Kernel in Table 1. The open source packages compiled from the open source adaptation code of the machine learning algorithm library are also required, for example, packages for ML-API-Patch in Table 1.

Table 1 lists the compilation outputs.

Table 1 Compilation outputs

Output

Remarks

How to Obtain

boostkit-xgboost4j_2.11-2.2.0.jar

Adaptation packages required by the XGBoost algorithm, which can be compiled from the open source adaptation code

Obtain the JAR files through compilation by referring to Compiling the Code.

boostkit-xgboost4j-spark2.3.2_2.11-2.2.0.jar

boostkit-ml-acc_2.11-2.2.0-spark2.3.2.jar
  • Adaptation packages required by machine learning algorithms excluding XGBoost
  • boostkit-ml-kernel-client_2.11-2.2.0-spark2.3.2.jar is the dependency library for application development and does not need to be deployed in the Spark cluster. It is used only for compilation in the development phase.

boostkit-ml-core_2.11-2.2.0-spark2.3.2.jar

boostkit-ml-kernel-client_2.11-2.2.0-spark2.3.2.jar

This document uses the BoostKit algorithm package based on Spark 2.3.2 as an example and also applies to the BoostKit algorithm packages of other Spark versions.