Contents

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

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

Declaration

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 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.