# UpdatableSupervisedEstimator A supervised estimator that can be incrementally updated. ``` protocol UpdatableSupervisedEstimator : SupervisedEstimator ``` ## Topics ### Appending [`func appending(_:)`](/documentation/CreateMLComponents/UpdatableSupervisedEstimator/appending(_:)) Composes this updatable estimator with an updatable estimator. ### Adapting [`func adaptedAsTemporal() -> UpdatableSupervisedEstimatorToTemporalAdaptor`](/documentation/CreateMLComponents/UpdatableSupervisedEstimator/adaptedAsTemporal()) Exposes this supervised estimator as a temporal supervised estimator. ### Encoding and decoding [`func encodeWithOptimizer(Self.Transformer, to: inout any EstimatorEncoder) throws`](/documentation/CreateMLComponents/UpdatableSupervisedEstimator/encodeWithOptimizer(_:to:)) Encodes the transformer and optimizer to an encoder. [`func decodeWithOptimizer(from: inout any EstimatorDecoder) throws -> Self.Transformer`](/documentation/CreateMLComponents/UpdatableSupervisedEstimator/decodeWithOptimizer(from:)) Reads the encoded transformer and optimizer with a decoder. ### Reading and writing [`func readWithOptimizer(from: URL) throws -> Self.Transformer`](/documentation/CreateMLComponents/UpdatableSupervisedEstimator/readWithOptimizer(from:)) Reads the encoded transformer and optimizer from a file. [`func writeWithOptimizer(Self.Transformer, to: URL, overwrite: Bool) throws`](/documentation/CreateMLComponents/UpdatableSupervisedEstimator/writeWithOptimizer(_:to:overwrite:)) Writes the encoded transformer and optimizer to a file. ### Transforming [`func makeTransformer() -> Self.Transformer`](/documentation/CreateMLComponents/UpdatableSupervisedEstimator/makeTransformer()) Creates a default-initialized transformer suitable for incremental fitting. [`func update(inout Self.Transformer, with: InputSequence, eventHandler: EventHandler?) async throws`](/documentation/CreateMLComponents/UpdatableSupervisedEstimator/update(_:with:eventHandler:)) Updates a transformer with a new sequence of examples. [`func update(inout Self.Transformer, with: InputSequence) async throws`](/documentation/CreateMLComponents/UpdatableSupervisedEstimator/update(_:with:)) ## Relationships ### Conforming Types [`FullyConnectedNetworkRegressor`](/documentation/CreateMLComponents/FullyConnectedNetworkRegressor) [`LinearTimeSeriesForecaster`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster) [`TimeSeriesClassifier`](/documentation/CreateMLComponents/TimeSeriesClassifier) [`UpdatableEstimatorToSupervisedAdaptor`](/documentation/CreateMLComponents/UpdatableEstimatorToSupervisedAdaptor) [`PreprocessingUpdatableSupervisedEstimator`](/documentation/CreateMLComponents/PreprocessingUpdatableSupervisedEstimator) [`LinearRegressor`](/documentation/CreateMLComponents/LinearRegressor) [`FullyConnectedNetworkClassifier`](/documentation/CreateMLComponents/FullyConnectedNetworkClassifier) [`MultivariateLinearRegressor`](/documentation/CreateMLComponents/MultivariateLinearRegressor) [`FullyConnectedNetworkMultiLabelClassifier`](/documentation/CreateMLComponents/FullyConnectedNetworkMultiLabelClassifier) [`LogisticRegressionClassifier`](/documentation/CreateMLComponents/LogisticRegressionClassifier) ### Inherits From [`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)