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Test Preparations

  1. Set up the framework of the auxiliary test tool kal-test. For details, see the sample code README.
  2. On the server node, deploy the obtained test tool folder kal-test to a specified directory, for example, /home/test/boostkit/. (Subsequent operations will be performed on the server node.)
  3. Create such a directory if the directory does not exist.
    mkdir -p /home/test/boostkit/
  4. Compile and install the software. For details, see Software Compiling and Software Deployment in the Kunpeng BoostKit for Big Data Machine Learning Algorithm Library Feature Guide. Save the obtained boostkit-ml-kernel-scala_version-kal_version-spark_version-aarch64.jar, boostkit-ml-acc_scala_version-kal_version-spark_version.jar, and boostkit-ml-core_scala_version-kal_version-spark_version.jar files to the /home/test/boostkit/kal-test/lib directory.
Parent topic: Test Cases and Records