# UpdatableTabularEstimatorToSupervisedAdaptor An adaptor that exposes an updatable tabular estimator as an updatable supervised tabular estimator. ``` struct UpdatableTabularEstimatorToSupervisedAdaptor where Estimator : UpdatableTabularEstimator, Annotation : Equatable ``` ## Topics ### Creating an adaptor [`init(Estimator, annotationColumnID: ColumnID)`](/documentation/CreateMLComponents/UpdatableTabularEstimatorToSupervisedAdaptor/init(_:annotationColumnID:)) Creates an updatable tabular estimator supervised adaptor. ### Getting the properties [`var annotationColumnID: ColumnID`](/documentation/CreateMLComponents/UpdatableTabularEstimatorToSupervisedAdaptor/annotationColumnID) The annotation column identifier. [`let estimator: Estimator`](/documentation/CreateMLComponents/UpdatableTabularEstimatorToSupervisedAdaptor/estimator) The wrapped estimator. ### Encoding and decoding [`func encode(UpdatableTabularEstimatorToSupervisedAdaptor.Transformer, to: inout any EstimatorEncoder) throws`](/documentation/CreateMLComponents/UpdatableTabularEstimatorToSupervisedAdaptor/encode(_:to:)) Does nothing since this estimator uses a pre-defined transformer. [`func decode(from: inout any EstimatorDecoder) throws -> UpdatableTabularEstimatorToSupervisedAdaptor.Transformer`](/documentation/CreateMLComponents/UpdatableTabularEstimatorToSupervisedAdaptor/decode(from:)) Returns the pre-defined transformer. [`func encodeWithOptimizer(UpdatableTabularEstimatorToSupervisedAdaptor.Transformer, to: inout any EstimatorEncoder) throws`](/documentation/CreateMLComponents/UpdatableTabularEstimatorToSupervisedAdaptor/encodeWithOptimizer(_:to:)) Encodes the transformer and optimizer to an encoder. [`func decodeWithOptimizer(from: inout any EstimatorDecoder) throws -> UpdatableTabularEstimatorToSupervisedAdaptor.Transformer`](/documentation/CreateMLComponents/UpdatableTabularEstimatorToSupervisedAdaptor/decodeWithOptimizer(from:)) Reads the encoded transformer and optimizer. ### Fitting [`func fitted(to: DataFrame, validateOn: DataFrame?, eventHandler: EventHandler?) async throws -> UpdatableTabularEstimatorToSupervisedAdaptor.Transformer`](/documentation/CreateMLComponents/UpdatableTabularEstimatorToSupervisedAdaptor/fitted(to:validateOn:eventHandler:)) Fits a transformer to a data frame. [`func makeTransformer() -> Estimator.Transformer`](/documentation/CreateMLComponents/UpdatableTabularEstimatorToSupervisedAdaptor/makeTransformer()) Creates a default-initialized transformer suitable for incremental fitting. [`func update(inout UpdatableTabularEstimatorToSupervisedAdaptor.Transformer, with: DataFrame, eventHandler: EventHandler?) async throws`](/documentation/CreateMLComponents/UpdatableTabularEstimatorToSupervisedAdaptor/update(_:with:eventHandler:)) Updates a transformer with a new data frame containing examples. [`protocol Transformer`](/documentation/CreateMLComponents/Transformer) A transformer that takes an input and produces an output. ## Relationships ### Conforms To [`Sendable`](/documentation/Swift/Sendable) [`UpdatableSupervisedTabularEstimator`](/documentation/CreateMLComponents/UpdatableSupervisedTabularEstimator) [`SendableMetatype`](/documentation/Swift/SendableMetatype) [`SupervisedTabularEstimator`](/documentation/CreateMLComponents/SupervisedTabularEstimator) --- 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)