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CreateMLComponents · IOS API REFERENCE

SupervisedTemporalEstimator

protocol · iOS 16.0+ · Deprecated in iOS 18.0 · SDK 27.1

protocol SupervisedTemporalEstimator<Transformer, Annotation>

An estimator that creates a transformer by fitting to a sequence of annotated temporal features.

Members (1)

method · iOS 16.0+ · Deprecated in iOS 18.0

read

Swift declaration

func read(from url: URL) throws -> Self.Transformer

Reads the encoded transformer from a file. - Parameter url: A file URL. - Returns: The decoded transformer.

Skipped declarations

9 declarations were excluded from these bindings. Each reason comes from the generator or the iOS SDK compiler.

SupervisedTemporalEstimator.write(_:to:overwrite:)

The iOS SDK compiler rejected this binding: cannot access associated type 'Transformer' from 'SupervisedTemporalEstimator'; use a concrete type or generic parameter base instead

SupervisedTemporalEstimator.appending(_:)

This declaration needs Swift generic type arguments. (no canonical witness for Other)

SupervisedTemporalEstimator.appending(_:)

This declaration needs Swift generic type arguments. (no canonical witness for Other)

SupervisedTemporalEstimator.appending(_:)

This declaration needs Swift generic type arguments. (no canonical witness for Other)

SupervisedTemporalEstimator.appending(_:)

This declaration needs Swift generic type arguments. (no canonical witness for Other)

SupervisedTemporalEstimator.appending(_:)

This declaration needs Swift generic type arguments. (no canonical witness for Other)

SupervisedTemporalEstimator.appending(_:)

This protocol needs associated types that cannot yet cross the bridge.

SupervisedTemporalEstimator.fitted(to:)

This declaration needs Swift generic type arguments. (no canonical witness for FeatureSequence)

SupervisedTemporalEstimator.fitted(to:validateOn:)

This declaration needs Swift generic type arguments. (no canonical witness for FeatureSequence)

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