The following plugin provides functionality available through Pipeline-compatible steps. Read more about how to integrate steps into your Pipeline in the Steps section of the Pipeline Syntax page.

For a list of other such plugins, see the Pipeline Steps Reference page.

Machine Learning Plugin

ipythonBuilder: IPython Builder

  • code
    Copy and paste your code to execute in selected server

    Eg: print(" Hello Jenkins, from Machine Learning Plugin ...... ! ")

    • Type: String
  • filePath
    Path of file that contains python code to be executed in the server

    Eg: /home/alice/iris/ml.py

    • Type: String
  • parserType
    • Type: String
  • task
    Folder name that will be used for saving html/images/graphs generated by the script file or code

    Eg: Training

    • Type: String
  • kernelName
    Globally configured Jupyter kernels. If any kernels are not shown
    • Manage Jenkins --> Configure System
    • Under Kernel Configuration
      • Add a name for kernel (Required)
      • Language (Optional)
      • Add timeout for launching
      • Add max size of results that can be obtained form the kernel
    • Type: String

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