# Create feature lists in the Relationship Editor
URL: https://docs.datarobot.com/en/docs/classic-ui/data/data-preview/safer-rel-editor-feature-lists.html

> Create custom feature lists and transform features in DataRobot's Relationship Editor.

# Create feature lists in the Relationship Editor

You can now create custom feature lists and transform features in the Relationship Editor.

## Access the Relationship Editor

Open the Relationship Editor in either of the following ways:

- Create a Feature Discovery project . Use this method if you haven't yet added secondary datasets and created relationships among the datasets.
- Click Edit relationships on the right side of the Secondary Datasets section of the Data page. Use this method if you have already created a relationship configuration.

## Create a feature list

1. Hover over the menu on the right of the dataset tile from which you want to create a feature list and selectConfigure dataset.
2. In theDataset Editor, click+ Create new feature list.
3. Enter a name for the new feature list, select the features to be included, and clickCreate Feature List. A message indicating that the feature list has been successfully created displays in the top right.

## Transform features

Just as you can [transform features](https://docs.datarobot.com/en/docs/classic-ui/data/transform-data/feature-transforms.html) on the Data tab, you can do so when you add them to a feature list in the Relationship Editor. To transform a feature in the Relationship Editor:

1. Open the Relationship Editor, hover over the menu on the right of the dataset tile, and selectConfigure dataset.
2. In theDataset Editor, click+ Create a new feature list.
3. Click the transform icon () for a feature you want to transform. There are different settings depending on the type of feature you are transforming. For example, for a categorical transform, you can choose to transform the category to a Text or Numeric feature. For a date feature, you can extract portions of a date and transform them. In this case, the month portion of the date is transformed into a categorical feature.
4. Once you have selected your transformed feature settings, optionally update the generated feature name in theNew Feature Namefield. In this example, a Numeric transform was selected. By default, DataRobot names the feature using the original feature name followed by the transform data type in parentheses.
5. ClickCreate Feature. A message indicating that the transformed feature has been successfully created displays in the top right. In theCreate feature listwindow, you can hover over the "i" to see that the feature was created as a result of a transform.

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