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# init(validation:batchSize:maximumIterations:augmentationOptions:algorithm:)

Creates a set of training session parameters for a hand pose
classifier task.

```
init(validation: MLHandPoseClassifier.ModelParameters.ValidationData = .split(strategy: .automatic), batchSize: Int = MLHandPoseClassifier.__Defaults.batchSize, maximumIterations: Int = MLHandPoseClassifier.__Defaults.maximumIterations, augmentationOptions: MLHandPoseClassifier.ImageAugmentationOptions = [], algorithm: MLHandPoseClassifier.ModelParameters.ModelAlgorithmType = .gcn)
```

## Discussion

- validation: An
  [`MLHandPoseClassifier.ModelParameters.ValidationData`](/documentation/CreateML/MLHandPoseClassifier/ModelParameters-swift.struct/ValidationData)
  instance.
- batchSize: The number of images the training session uses for each
  of its training iterations.
- maximumIterations: The largest number of training iterations the
  training session can use.
- augmentationOptions: The variations the training session uses to
  add more variety to its training dataset.
- algorithm: The algorithm the training session uses to train the
  hand pose classifier.

---

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