Introduction to Pipeline

    As shown above, a pipeline is composed of different plugins, and we add the field to each plugin to pass given parameters. Then the pipeline interpreter will perform the corresponding operation(s) by its plugin type and parameters.

    Follow the Pipcook Tools Initlization to get the Pipcook ready.

    Run Pipeline

    Save the above JSON of your pipeline in anywhere, and run:

    1. $ pipcook run /path/to/your/pipeline-config.json

    To get started with your trained model, follow the below steps:

      It will install dependencies which contain the plugins and Python packages. Pipcook provides a way to use tuna mirror when it downloads Python and packages: