---
title: MLLogisticRegressionClassifier
framework: createml
role: symbol
role_heading: Structure
path: createml/mllogisticregressionclassifier
---

# MLLogisticRegressionClassifier

A classifier that predicts a discrete target value as a function of data features.

## Declaration

```swift
struct MLLogisticRegressionClassifier
```

## Topics

### Training a logistic regression classifier asynchronously

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

### Creating a logistic regression classifier from a checkpoint

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

### Training a logistic regression classifier synchronously

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

### Evaluating a logistic regression classifier

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

### Testing a logistic regression classifier

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

### Saving a logistic regression classifier

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

### Inspecting a boosted tree classifier

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

### Describing a logistic regression classifier

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

### Default Implementations

- [CustomDebugStringConvertible Implementations](createml/mllogisticregressionclassifier/customdebugstringconvertible-implementations.md)
- [CustomPlaygroundDisplayConvertible Implementations](createml/mllogisticregressionclassifier/customplaygrounddisplayconvertible-implementations.md)
- [CustomStringConvertible Implementations](createml/mllogisticregressionclassifier/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 classifier types

- [MLDecisionTreeClassifier](createml/mldecisiontreeclassifier.md)
- [MLRandomForestClassifier](createml/mlrandomforestclassifier.md)
- [MLBoostedTreeClassifier](createml/mlboostedtreeclassifier.md)
- [MLSupportVectorClassifier](createml/mlsupportvectorclassifier.md)