CreateMLComponents · IOS API REFERENCE

SupervisedTabularEstimator

protocol · iOS 16.0+ · SDK 27.1

protocol SupervisedTabularEstimator<Transformer, Annotation>

A tabular estimator that creates a transformer by fitting to a data set in a data frame.

Members (3)

method · iOS 16.0+

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.

method · iOS 16.0+

fitted

Swift declaration

func fitted(to input: DataFrame, validateOn validation: DataFrame? = nil) async throws -> Self.Transformer

method · iOS 16.0+

decode

Swift declaration

func decode(from decoder: inout any EstimatorDecoder) throws -> Self.Transformer

Decodes a previously fitted decodable transformer.

Omit the output parameters from the call. The result contains $ret and $out, with decoder inside $out.

Skipped declarations

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

SupervisedTabularEstimator.encode(_:to:)

The iOS SDK compiler rejected this binding: member 'encode' cannot be used on value of type 'any SupervisedTabularEstimator'; consider using a generic constraint instead [#ExistentialMemberAccess]

SupervisedTabularEstimator.write(_:to:overwrite:)

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

SupervisedTabularEstimator.appending(_:)

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

SupervisedTabularEstimator.appending(_:)

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

SupervisedTabularEstimator.appending(_:)

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

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