---
title: MLDecisionTreeRegressor
framework: createml
role: symbol
role_heading: Structure
path: createml/mldecisiontreeregressor
---

# MLDecisionTreeRegressor

A regressor that estimates the target by learning rules to split the data.

## Declaration

```swift
struct MLDecisionTreeRegressor
```

## Topics

### Training a decision tree regressor asynchronously

- [train(trainingData:targetColumn:featureColumns:parameters:sessionParameters:)](createml/mldecisiontreeregressor/train(trainingdata:targetcolumn:featurecolumns:parameters:sessionparameters:).md)
- [makeTrainingSession(trainingData:targetColumn:featureColumns:parameters:sessionParameters:)](createml/mldecisiontreeregressor/maketrainingsession(trainingdata:targetcolumn:featurecolumns:parameters:sessionparameters:).md)
- [resume(_:)](createml/mldecisiontreeregressor/resume(_:).md)
- [restoreTrainingSession(sessionParameters:)](createml/mldecisiontreeregressor/restoretrainingsession(sessionparameters:).md)

### Creating a decision tree regressor from a checkpoint

- [init(checkpoint:)](createml/mldecisiontreeregressor/init(checkpoint:).md)

### Training a decision tree regressor synchronously

- [init(trainingData:targetColumn:featureColumns:parameters:)](createml/mldecisiontreeregressor/init(trainingdata:targetcolumn:featurecolumns:parameters:).md)
- [targetColumn](createml/mldecisiontreeregressor/targetcolumn.md)
- [featureColumns](createml/mldecisiontreeregressor/featurecolumns.md)

### Evaluating a decision tree regressor

- [evaluation(on:)](createml/mldecisiontreeregressor/evaluation(on:).md)
- [trainingMetrics](createml/mldecisiontreeregressor/trainingmetrics.md)
- [validationMetrics](createml/mldecisiontreeregressor/validationmetrics.md)

### Testing a decision tree regressor

- [predictions(from:)](createml/mldecisiontreeregressor/predictions(from:).md)

### Saving a decision tree regressor

- [write(to:metadata:)](createml/mldecisiontreeregressor/write(to:metadata:).md)
- [write(toFile:metadata:)](createml/mldecisiontreeregressor/write(tofile:metadata:).md)

### Inspecting a decision tree regressor

- [model](createml/mldecisiontreeregressor/model.md)
- [MLDecisionTreeRegressor.ModelParameters](createml/mldecisiontreeregressor/modelparameters-swift.struct.md)
- [modelParameters](createml/mldecisiontreeregressor/modelparameters-swift.property.md)

### Describing a decision tree regressor

- [description](createml/mldecisiontreeregressor/description.md)
- [debugDescription](createml/mldecisiontreeregressor/debugdescription.md)
- [playgroundDescription](createml/mldecisiontreeregressor/playgrounddescription.md)

### Default Implementations

- [CustomDebugStringConvertible Implementations](createml/mldecisiontreeregressor/customdebugstringconvertible-implementations.md)
- [CustomPlaygroundDisplayConvertible Implementations](createml/mldecisiontreeregressor/customplaygrounddisplayconvertible-implementations.md)
- [CustomStringConvertible Implementations](createml/mldecisiontreeregressor/customstringconvertible-implementations.md)

## Relationships

### Conforms To

- [Copyable](swift/copyable.md)
- [CustomDebugStringConvertible](swift/customdebugstringconvertible.md)
- [CustomPlaygroundDisplayConvertible](swift/customplaygrounddisplayconvertible.md)
- [CustomStringConvertible](swift/customstringconvertible.md)
- [Escapable](swift/escapable.md)
- [Sendable](swift/sendable.md)
- [SendableMetatype](swift/sendablemetatype.md)

## See Also

### Supporting regressor types

- [MLLinearRegressor](createml/mllinearregressor.md)
- [MLRandomForestRegressor](createml/mlrandomforestregressor.md)
- [MLBoostedTreeRegressor](createml/mlboostedtreeregressor.md)