# UpdatableEstimatorToSupervisedAdaptor An adaptor that exposes an updatable estimator as an updatable supervised estimator. ``` struct UpdatableEstimatorToSupervisedAdaptor where Estimator : UpdatableEstimator, Annotation : Equatable ``` ## Topics ### Creating an adaptor [`init(Estimator)`](/documentation/CreateMLComponents/UpdatableEstimatorToSupervisedAdaptor/init(_:)) Creates an estimator adaptor. ### Getting the estimator [`let estimator: Estimator`](/documentation/CreateMLComponents/UpdatableEstimatorToSupervisedAdaptor/estimator) The wrapped estimator. ### Encoding and decoding [`func encode(UpdatableEstimatorToSupervisedAdaptor.Transformer, to: inout any EstimatorEncoder) throws`](/documentation/CreateMLComponents/UpdatableEstimatorToSupervisedAdaptor/encode(_:to:)) Does nothing since this estimator uses a pre-defined transformer. [`func decode(from: inout any EstimatorDecoder) throws -> UpdatableEstimatorToSupervisedAdaptor.Transformer`](/documentation/CreateMLComponents/UpdatableEstimatorToSupervisedAdaptor/decode(from:)) Returns the pre-defined transformer. [`func encodeWithOptimizer(UpdatableEstimatorToSupervisedAdaptor.Transformer, to: inout any EstimatorEncoder) throws`](/documentation/CreateMLComponents/UpdatableEstimatorToSupervisedAdaptor/encodeWithOptimizer(_:to:)) Encodes the transformer and optimizer to an encoder. [`func decodeWithOptimizer(from: inout any EstimatorDecoder) throws -> UpdatableEstimatorToSupervisedAdaptor.Transformer`](/documentation/CreateMLComponents/UpdatableEstimatorToSupervisedAdaptor/decodeWithOptimizer(from:)) Reads the encoded transformer and optimizer. ### Fitting and Updating [`func fitted(to: Input, eventHandler: EventHandler?) async throws -> UpdatableEstimatorToSupervisedAdaptor.Transformer`](/documentation/CreateMLComponents/UpdatableEstimatorToSupervisedAdaptor/fitted(to:eventHandler:)) Fits a transformer to a sequence of examples, ignoring the annotations and the validation. [`func fitted(to: Input, validateOn: Validation, eventHandler: EventHandler?) async throws -> UpdatableEstimatorToSupervisedAdaptor.Transformer`](/documentation/CreateMLComponents/UpdatableEstimatorToSupervisedAdaptor/fitted(to:validateOn:eventHandler:)) Fits a transformer to a sequence of examples. [`func makeTransformer() -> Estimator.Transformer`](/documentation/CreateMLComponents/UpdatableEstimatorToSupervisedAdaptor/makeTransformer()) Creates a default-initialized transformer suitable for incremental fitting. [`func update(inout Estimator.Transformer, with: InputSequence, eventHandler: EventHandler?) async throws`](/documentation/CreateMLComponents/UpdatableEstimatorToSupervisedAdaptor/update(_:with:eventHandler:)) Updates a transformer with a new sequence of examples. [`func update(inout Estimator.Transformer, with: InputSequence, validateOn: Validation, eventHandler: EventHandler?) async throws`](/documentation/CreateMLComponents/UpdatableEstimatorToSupervisedAdaptor/update(_:with:validateOn:eventHandler:)) Fits a transformer to a sequence of examples while validating with a validation sequence. [`protocol Transformer`](/documentation/CreateMLComponents/Transformer) A transformer that takes an input and produces an output. ## Relationships ### Conforms To [`SendableMetatype`](/documentation/Swift/SendableMetatype) [`UpdatableSupervisedEstimator`](/documentation/CreateMLComponents/UpdatableSupervisedEstimator) [`Sendable`](/documentation/Swift/Sendable) [`SupervisedEstimator`](/documentation/CreateMLComponents/SupervisedEstimator) --- Copyright © 2026 Apple Inc. All rights reserved. | [Terms of Use](https://www.apple.com/legal/internet-services/terms/site.html) | [Privacy Policy](https://www.apple.com/privacy/privacy-policy)