Edit an imported dataset for use in experiments
Imported datasets are configured automatically, but you can do some editing to make them more appropriate to your experiment. Although the platform remembers the changes that you make, you need to manually save your changes as a new version of the dataset before you can use it to run an experiment.
You are not able to edit an already saved version of the dataset, so you will need to duplicate it if you want to make further changes.
Edit dataset workflow
When editing, you can:
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Select the feature encoding, among categorical, binary, numeric, image, and text encoding.
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Group features into feature sets, making several features available as a single input to the model.
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Distribute the examples of the dataset into subsets. You always need to have at least two subsets, one for training and one for validating the model.