init(validation:maxIterations:overlapFactor:algorithm:featureExtractionTimeWindowSize:)
Creates a new set of training parameters for a sound classifier with a validation dataset, a training algorithm, and a time-window size.
Declaration
init(validation: MLSoundClassifier.ModelParameters.ValidationData = __Defaults.validation, maxIterations: Int = __Defaults.maximumIterations, overlapFactor: Double = __Defaults.overlapFactor, algorithm: MLSoundClassifier.ModelParameters.ModelAlgorithmType = __Defaults.algorithm, featureExtractionTimeWindowSize: TimeInterval = __Defaults.defaultVGGishTimeWindow)Parameters
- validation:
A validation dataset represented by an Validationdata instance.
- maxIterations:
The largest number of iterations the training session can use to train the sound classifier.
- overlapFactor:
A proportion of overlap the training session uses to analyze two consecutive windows in the audio data. The proportion must be in the range
[0.0, 1.0). Higher proportions generate more training data but also increase the training time.The default value is
0.5, which represents a 50% overlap. - algorithm:
An algorithm the training session uses to train the sound classifier.
- featureExtractionTimeWindowSize:
A time duration, in seconds, the feature-extraction session uses for each audio sample it reads from an audio file in a dataset. The value must be in the range
[0.5, 15.0].