<!--
{
  "availability" : [
    "iOS: 15.0.0 -",
    "iPadOS: 15.0.0 -",
    "macCatalyst: 15.0.0 -",
    "macOS: 12.0.0 -",
    "tvOS: 16.0.0 -",
    "visionOS: 1.0.0 -"
  ],
  "documentType" : "symbol",
  "framework" : "CreateML",
  "identifier" : "/documentation/CreateML/MLDecisionTreeRegressor/init(trainingData:targetColumn:featureColumns:parameters:)",
  "metadataVersion" : "0.1.0",
  "role" : "Initializer",
  "symbol" : {
    "kind" : "Initializer",
    "modules" : [
      "Create ML"
    ],
    "preciseIdentifier" : "s:8CreateML23MLDecisionTreeRegressorV12trainingData12targetColumn14featureColumns10parametersAC07TabularG00G5FrameV_SSSaySSGSgAC15ModelParametersVtKcfc::OverloadGroup"
  },
  "title" : "init(trainingData:targetColumn:featureColumns:parameters:)"
}
-->

# init(trainingData:targetColumn:featureColumns:parameters:)

Creates a decision tree regressor.

```
init(trainingData: DataFrame, targetColumn: String, featureColumns: [String]? = nil, parameters: MLDecisionTreeRegressor.ModelParameters = ModelParameters(validation: .split(strategy: .automatic))) throws
```

## Parameters

`trainingData`

The training data

`targetColumn`

Name of the column containing the target values

`featureColumns`

Names of the columns containing feature values. If `nil` all columns, other than the target
column, will be used as feature values.

`parameters`

Model training parameters. See [`MLDecisionTreeRegressor.ModelParameters`](/documentation/CreateML/MLDecisionTreeRegressor/ModelParameters-swift.struct) for the defaults.

---

Copyright &copy; 2026 Apple Inc. All rights reserved. | [Terms of Use](https://www.apple.com/legal/internet-services/terms/site.html) | [Privacy Policy](https://www.apple.com/privacy/privacy-policy)