# SupervisedEstimator An estimator that creates a transformer by fitting to a data set. ``` protocol SupervisedEstimator ``` ## Topics ### Reading and writing [`func read(from: URL) throws -> Self.Transformer`](/documentation/CreateMLComponents/SupervisedEstimator/read(from:)) Reads the encoded transformer from a file. [`func write(Self.Transformer, to: URL, overwrite: Bool) throws`](/documentation/CreateMLComponents/SupervisedEstimator/write(_:to:overwrite:)) Writes the encoded transformer to a file. [`associatedtype Annotation : Equatable`](/documentation/CreateMLComponents/SupervisedEstimator/Annotation) The annotation type. [`associatedtype Transformer : Transformer`](/documentation/CreateMLComponents/SupervisedEstimator/Transformer) The transformer type created by this estimator. ### Appending [`func appending(_:)`](/documentation/CreateMLComponents/SupervisedEstimator/appending(_:)) Composes this supervised estimator with an estimator. ### Adapting and fitting [`func adaptedAsTemporal() -> SupervisedEstimatorToTemporalAdaptor`](/documentation/CreateMLComponents/SupervisedEstimator/adaptedAsTemporal()) Exposes this supervised estimator as a temporal supervised estimator. [`func fitted(to: Input, eventHandler: EventHandler?) async throws -> Self.Transformer`](/documentation/CreateMLComponents/SupervisedEstimator/fitted(to:eventHandler:)) Fits a transformer to a sequence of examples. [`func fitted(to: Input, validateOn: Validation, eventHandler: EventHandler?) async throws -> Self.Transformer`](/documentation/CreateMLComponents/SupervisedEstimator/fitted(to:validateOn:eventHandler:)) Fits a transformer to a sequence of examples while validating with a validation sequence. [`func fitted(to: Input) async throws -> Self.Transformer`](/documentation/CreateMLComponents/SupervisedEstimator/fitted(to:)) [`func fitted(to: Input, validateOn: Validation) async throws -> Self.Transformer`](/documentation/CreateMLComponents/SupervisedEstimator/fitted(to:validateOn:)) ### Encoding and decoding [`func encode(Self.Transformer, to: inout any EstimatorEncoder) throws`](/documentation/CreateMLComponents/SupervisedEstimator/encode(_:to:)) Encodes a fitted transformer. [`func decode(from: inout any EstimatorDecoder) throws -> Self.Transformer`](/documentation/CreateMLComponents/SupervisedEstimator/decode(from:)) Decodes a previously fitted transformer. ## Relationships ### Conforming Types [`PreprocessingUpdatableSupervisedEstimator`](/documentation/CreateMLComponents/PreprocessingUpdatableSupervisedEstimator) [`LinearTimeSeriesForecaster`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster) [`FullyConnectedNetworkRegressor`](/documentation/CreateMLComponents/FullyConnectedNetworkRegressor) [`FullyConnectedNetworkMultiLabelClassifier`](/documentation/CreateMLComponents/FullyConnectedNetworkMultiLabelClassifier) [`TimeSeriesClassifier`](/documentation/CreateMLComponents/TimeSeriesClassifier) [`LinearRegressor`](/documentation/CreateMLComponents/LinearRegressor) [`LogisticRegressionClassifier`](/documentation/CreateMLComponents/LogisticRegressionClassifier) [`EstimatorToSupervisedAdaptor`](/documentation/CreateMLComponents/EstimatorToSupervisedAdaptor) [`UpdatableEstimatorToSupervisedAdaptor`](/documentation/CreateMLComponents/UpdatableEstimatorToSupervisedAdaptor) [`MultivariateLinearRegressor`](/documentation/CreateMLComponents/MultivariateLinearRegressor) [`PreprocessingSupervisedEstimator`](/documentation/CreateMLComponents/PreprocessingSupervisedEstimator) [`FullyConnectedNetworkClassifier`](/documentation/CreateMLComponents/FullyConnectedNetworkClassifier) ### Inherited By [`UpdatableSupervisedEstimator`](/documentation/CreateMLComponents/UpdatableSupervisedEstimator) --- 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)