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Obtaining the Software

Table 1 describes how to obtain the library package of a machine learning algorithm.

Table 1 Obtaining software packages

Software Package

Description

How to Obtain

BoostKit-ml_3.0.0.zip

The package contains the algorithm package boostkit-ml-kernel-2.12-3.0.0-spark3.3.1-aarch64.jar.

Kunpeng community

NOTE:

Before using the software package, read and agree to Kunpeng BoostKit User License Agreement 2.0.

boostkit-ml-acc_2.12-3.0.0-spark3.3.1.jar

Adaptation packages required for running algorithms. boostkit-ml-kernel-client_2.12-3.0.0-spark3.3.1.jar is the dependency library for application development and does not need to be deployed in the Spark cluster. It is used only during compilation in the development phase.

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

boostkit-ml-core_2.12-3.0.0-spark3.3.1.jar

boostkit-ml-kernel-client_2.12-3.0.0-spark3.3.1.jar

Verifying Software Package Integrity

After downloading a software package from the Kunpeng community, verify the software package to ensure that it is consistent with the original one on the website.

Verify a software package as follows:

  1. Obtain the digital certificate and software.
  2. Obtain the verification tool and method from the following link:
  3. Verify the package integrity by following the procedure described in the OpenPGP Signature Verification Guide obtained from the URL.

Obtaining the Core JAR File of the Machine Learning Algorithm Library

The BoostKit-ml_3.0.0.zip file can be obtained from Huawei support website (see Obtaining the Software). You can decompress the package to obtain boostkit-ml-kernel-2.12-3.0.0-spark3.3.1-aarch64.jar and save it to the /opt/ directory.

  1. From the client node, log in to the server as an authorized user of the big data component. Save the core JAR package of the machine learning algorithm library to the /opt/ directory and decompress BoostKit-ml_3.0.0.zip.
    1
2
    cd /opt/
unzip BoostKit-ml_3.0.0.zip
  2. Query the core JAR package version of the machine learning algorithm library.
    1
    cat version.txt

  3. Create a lib directory.
    1
    mkdir -p /home/test/boostkit/lib
  4. Copy boostkit-ml-kernel-2.12-3.0.0-spark3.3.1-aarch64.jar to /home/test/boostkit/lib/.
    1
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    cd BoostKit-ml_3.0.0
cp boostkit-ml-kernel-2.12-3.0.0-spark3.3.1-aarch64.jar /home/test/boostkit/lib