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# MLLogisticRegressionClassifier

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

```
struct MLLogisticRegressionClassifier
```

## Topics

### Training a logistic regression classifier asynchronously

[`static train(trainingData:targetColumn:featureColumns:parameters:sessionParameters:)`](/documentation/CreateML/MLLogisticRegressionClassifier/train(trainingData:targetColumn:featureColumns:parameters:sessionParameters:))

Trains a logistic regression classifier.

[`static makeTrainingSession(trainingData:targetColumn:featureColumns:parameters:sessionParameters:)`](/documentation/CreateML/MLLogisticRegressionClassifier/makeTrainingSession(trainingData:targetColumn:featureColumns:parameters:sessionParameters:))

Creates or restores a training session.

[`static func resume(MLTrainingSession<MLLogisticRegressionClassifier>) throws -> MLJob<MLLogisticRegressionClassifier>`](/documentation/CreateML/MLLogisticRegressionClassifier/resume(_:))

Resumes a training session from the last checkpoint if available.

[`static func restoreTrainingSession(sessionParameters: MLTrainingSessionParameters) throws -> MLTrainingSession<MLLogisticRegressionClassifier>`](/documentation/CreateML/MLLogisticRegressionClassifier/restoreTrainingSession(sessionParameters:))

Restores an existing training session.

### Creating a logistic regression classifier from a checkpoint

[`init(checkpoint: MLCheckpoint) throws`](/documentation/CreateML/MLLogisticRegressionClassifier/init(checkpoint:))

Creates a logistic regression classifier from a checkpoint.

### Training a logistic regression classifier synchronously

[`init(trainingData:targetColumn:featureColumns:parameters:)`](/documentation/CreateML/MLLogisticRegressionClassifier/init(trainingData:targetColumn:featureColumns:parameters:))

Creates a logistic regression classifier.

[`var targetColumn: String`](/documentation/CreateML/MLLogisticRegressionClassifier/targetColumn)

The name of the column you selected at initialization to define which categories the classifier predicts.

[`var featureColumns: [String]`](/documentation/CreateML/MLLogisticRegressionClassifier/featureColumns)

The names of the columns you selected at initialization to train the classifier.

### Evaluating a logistic regression classifier

[`func evaluation(on:)`](/documentation/CreateML/MLLogisticRegressionClassifier/evaluation(on:))

Evaluates the classifier on the provided labeled data.

[`var trainingMetrics: MLClassifierMetrics`](/documentation/CreateML/MLLogisticRegressionClassifier/trainingMetrics)

Measurements of the classifier’s performance on the training data set.

[`var validationMetrics: MLClassifierMetrics`](/documentation/CreateML/MLLogisticRegressionClassifier/validationMetrics)

Measurements of the classifier’s performance on the validation data set.

### Testing a logistic regression classifier

[`func predictions(from:)`](/documentation/CreateML/MLLogisticRegressionClassifier/predictions(from:))

Predicts a column of labels for the given testing data.

### Saving a logistic regression classifier

[`func write(to: URL, metadata: MLModelMetadata?) throws`](/documentation/CreateML/MLLogisticRegressionClassifier/write(to:metadata:))

Exports a Core ML model file for use in your app.

[`func write(toFile: String, metadata: MLModelMetadata?) throws`](/documentation/CreateML/MLLogisticRegressionClassifier/write(toFile:metadata:))

Exports a Core ML model file for use in your app.

### Inspecting a boosted tree classifier

[`var model: MLModel`](/documentation/CreateML/MLLogisticRegressionClassifier/model)

The Core ML model.

[`struct ModelParameters`](/documentation/CreateML/MLLogisticRegressionClassifier/ModelParameters-swift.struct)

Parameters that affect the process of training a model.

[`let modelParameters: MLLogisticRegressionClassifier.ModelParameters`](/documentation/CreateML/MLLogisticRegressionClassifier/modelParameters-swift.property)

The underlying parameters used when training the model.

### Describing a logistic regression classifier

[`var description: String`](/documentation/CreateML/MLLogisticRegressionClassifier/description)

A text representation of the logistic regression classifier.

[`var debugDescription: String`](/documentation/CreateML/MLLogisticRegressionClassifier/debugDescription)

A text representation of the logistic regression classifier that’s suitable for output during debugging.

[`var playgroundDescription: Any`](/documentation/CreateML/MLLogisticRegressionClassifier/playgroundDescription)

A description of the logistic regression classifier shown in a playground.

### Default Implementations

[CustomDebugStringConvertible Implementations](/documentation/CreateML/MLLogisticRegressionClassifier/CustomDebugStringConvertible-Implementations)

[CustomPlaygroundDisplayConvertible Implementations](/documentation/CreateML/MLLogisticRegressionClassifier/CustomPlaygroundDisplayConvertible-Implementations)

[CustomStringConvertible Implementations](/documentation/CreateML/MLLogisticRegressionClassifier/CustomStringConvertible-Implementations)

## Relationships

### Conforms To

[`CustomDebugStringConvertible`](/documentation/Swift/CustomDebugStringConvertible)

[`CustomPlaygroundDisplayConvertible`](/documentation/Swift/CustomPlaygroundDisplayConvertible)

[`Escapable`](/documentation/Swift/Escapable)

[`SendableMetatype`](/documentation/Swift/SendableMetatype)

[`Sendable`](/documentation/Swift/Sendable)

[`CustomStringConvertible`](/documentation/Swift/CustomStringConvertible)

[`Copyable`](/documentation/Swift/Copyable)

---

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