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Last updated Oct 10, 2024

Using out of the box packages

You can create your own packages based on the ones provided in the Out of the box Packages section. By choosing a package from this list, a provided package is technically cloned, ready to be trained with the dataset provided by you.

To do so, follow the steps below:

  1. Create a dataset. For more information on how to build datasets. see Managing Datasets.
    Note: This step is only needed if you plan to retrain the model.
  2. Go to ML Packages > Out of the Box Packages and choose the needed package.
  3. Fill in the needed information:
    • Package name
    • Choose Package Version
    • Description
    • Input Description
    • Output Description
  4. Click Submit.
    For more information on the information needed for each package, check the individual pages from this guide.
Note: For more information on package validation, version control, and details, check the Managing ML packages section.

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