Custom Requirements & Runners Management

With release 11.1 we introduce full control for your pipeline installation directly from the AI Lab. You can now see how many runners are linked to your environment, and pause, restart or force restart them.

You can consult which python packages are currently installed on the runners.

You can install additional python librairies not included in Wizata runners by yourself including the one you have developed yourself.

You simply have to go to AI lab > Overview, select custom requirements modify the requirements and then restart the runners.

It is also now possible to not have to upsert your function in Wizata but directly reference it within your pipeline by simply adding the library tag. Don't forget to reference your function in init file of your package.

    {
      "type": "script",
      "config": {
        "library": "my_package",
        "function" : "my_function"
      },
      "inputs": [
        { "dataframe" : "input_df" }
      ],
      "outputs": [
        { "dataframe" : "output_df" }
      ]
    }