<!--
{
  "availability" : [
    "iOS: 15.0.0 -",
    "iPadOS: 15.0.0 -",
    "macCatalyst: 15.0.0 -",
    "macOS: 10.15.0 -",
    "visionOS: 1.0.0 -"
  ],
  "documentType" : "symbol",
  "framework" : "CreateML",
  "identifier" : "/documentation/CreateML/MLSoundClassifier/init(trainingData:parameters:)",
  "metadataVersion" : "0.1.0",
  "role" : "Initializer",
  "symbol" : {
    "kind" : "Initializer",
    "modules" : [
      "Create ML"
    ],
    "preciseIdentifier" : "s:8CreateML17MLSoundClassifierV12trainingData10parametersA2C0F6SourceO_AC15ModelParametersVtKcfc::OverloadGroup"
  },
  "title" : "init(trainingData:parameters:)"
}
-->

# init(trainingData:parameters:)

Creates a sound classifier with a training dataset represented by a data source.

```
init(trainingData: MLSoundClassifier.DataSource, parameters: MLSoundClassifier.ModelParameters = ModelParameters()) throws
```

## Parameters

`trainingData`

An [`MLSoundClassifier.DataSource`](/documentation/CreateML/MLSoundClassifier/DataSource) instance that contains a collection of labeled audio
files.

`parameters`

An [`MLSoundClassifier.ModelParameters`](/documentation/CreateML/MLSoundClassifier/ModelParameters-swift.struct) instance you use to configure the model
for the training session.

## Discussion

Use this initializer to train a sound classifier with an [`MLSoundClassifier.DataSource`](/documentation/CreateML/MLSoundClassifier/DataSource). For example, you can
organize your audio files into labeled directories. See
[`MLSoundClassifier.DataSource.labeledDirectories(at:)`](/documentation/CreateML/MLSoundClassifier/DataSource/labeledDirectories(at:)).

```swift
// Get the Documents directory URL.
guard let documentsURL = FileManager.default.urls(for: .documentDirectory,
                                                  in: .userDomainMask).first else {
    fatalError("Can't find Documents directory.")
}

// Build a URL to the ~/Documents/Sounds directory, which contains the training data.
let soundsURL = documentsURL.appendingPathComponent("Sounds")

// The Sounds directory contains subdirectories, one for each class of sound.
// Each subdirectory's name is the label for audio files it contains.
//
// Sounds
// -- Laughter
// -- Recording1.wav
// -- Recording4.wav
// -- ...
// -- Applause
// -- Recording2.wav
// -- Recording5.wav
// -- ...

// Create a data source from the Sounds directory.
let trainingData = MLSoundClassifier.DataSource.labeledDirectories(at: soundsURL)

// Train a sound classifier with the data source.
let soundClassifier = try MLSoundClassifier(trainingData: trainingData)
```

---

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)