<!--
{
  "availability" : [
    "iOS: 15.0.0 - 16.0.0",
    "iPadOS: 15.0.0 - 16.0.0",
    "macCatalyst: 15.0.0 - 16.0.0",
    "macOS: 10.15.0 - 11.0.0",
    "visionOS: 1.0.0 -"
  ],
  "documentType" : "symbol",
  "framework" : "CreateML",
  "identifier" : "/documentation/CreateML/MLImageClassifier/ModelParameters-swift.struct/init(featureExtractor:validation:maxIterations:augmentationOptions:)",
  "metadataVersion" : "0.1.0",
  "role" : "Initializer",
  "symbol" : {
    "kind" : "Initializer",
    "modules" : [
      "Create ML"
    ],
    "preciseIdentifier" : "s:8CreateML17MLImageClassifierV15ModelParametersV16featureExtractor10validation13maxIterations19augmentationOptionsAeC07FeatureH4TypeO_AE14ValidationDataOSiAC017ImageAugmentationM0Vtcfc"
  },
  "title" : "init(featureExtractor:validation:maxIterations:augmentationOptions:)"
}
-->

# init(featureExtractor:validation:maxIterations:augmentationOptions:)

Creates a new set of training parameters for an image classifier with a validation dataset.

```
init(featureExtractor: MLImageClassifier.FeatureExtractorType = .scenePrint(revision: 1), validation: MLImageClassifier.ModelParameters.ValidationData = .split(strategy: .automatic), maxIterations: Int = 25, augmentationOptions: MLImageClassifier.ImageAugmentationOptions = [])
```

## Parameters

`featureExtractor`

The feature extractor you want Create ML to use during the training session.

`validation`

A validation dataset.

`maxIterations`

The maximum number of training iterations to use during training. The default is 25.

`augmentationOptions`

The image augmentation options to use to increase the training data variety.

---

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)