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# MLUpdateTask

A task that updates a model with additional training data.

```
class MLUpdateTask
```

## Overview

Use an [`MLUpdateTask`](/documentation/CoreML/MLUpdateTask) to update a machine learning model on a user’s device.

## Topics

### Creating an update task

[`init(forModelAt:trainingData:completionHandler:)`](/documentation/CoreML/MLUpdateTask/init(forModelAt:trainingData:completionHandler:))

Creates a task that updates the model at the URL with the training data, and calls the completion handler when the update completes.

[`init(forModelAt:trainingData:progressHandlers:)`](/documentation/CoreML/MLUpdateTask/init(forModelAt:trainingData:progressHandlers:))

Creates a task that updates the model at the URL with the training data, and calls the progress handlers during and after the update.

[`init(forModelAt:trainingData:configuration:completionHandler:)`](/documentation/CoreML/MLUpdateTask/init(forModelAt:trainingData:configuration:completionHandler:))

Creates a task that updates the model at the URL with the training data and configuration, and calls the completion handler when the update completes.

[`init(forModelAt:trainingData:configuration:progressHandlers:)`](/documentation/CoreML/MLUpdateTask/init(forModelAt:trainingData:configuration:progressHandlers:))

Creates a task that updates the model at the URL with the training data and configuration, and calls the progress handlers during and after the update.

[`init(forModelAtURL:trainingData:completionHandler:)`](/documentation/CoreML/MLUpdateTask/init(forModelAtURL:trainingData:completionHandler:))

[`init(forModelAtURL:trainingData:progressHandlers:)`](/documentation/CoreML/MLUpdateTask/init(forModelAtURL:trainingData:progressHandlers:))

[`init(forModelAtURL:trainingData:configuration:completionHandler:)`](/documentation/CoreML/MLUpdateTask/init(forModelAtURL:trainingData:configuration:completionHandler:))

[`init(forModelAtURL:trainingData:configuration:progressHandlers:)`](/documentation/CoreML/MLUpdateTask/init(forModelAtURL:trainingData:configuration:progressHandlers:))

[`MLBatchProvider`](/documentation/CoreML/MLBatchProvider)

An interface that represents a collection of feature providers.

[`MLModelConfiguration`](/documentation/CoreML/MLModelConfiguration)

The settings for creating or updating a machine learning model.

[`MLUpdateContext`](/documentation/CoreML/MLUpdateContext)

The context an update task provides to your app’s completion and update progress handlers.

[`MLUpdateProgressHandlers`](/documentation/CoreML/MLUpdateProgressHandlers)

A collection of closures an update task uses to notify your app of its progress.

### Starting and Resuming an Update

[`resume(withParameters:)`](/documentation/CoreML/MLUpdateTask/resume(withParameters:))

Resumes a model update with updated parameter values.

[`MLParameterKey`](/documentation/CoreML/MLParameterKey)

The keys for the parameter dictionary in a model configuration or a model update context.


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