# UpdatableSupervisedEstimator Implementations ## Topics ### Instance Methods [`func decodeWithOptimizer(from: inout any EstimatorDecoder) throws -> FullyConnectedNetworkRegressor.Transformer`](/documentation/CreateMLComponents/FullyConnectedNetworkRegressor/decodeWithOptimizer(from:)) Decodes a previously fitted transformer with an optimizer. [`func encodeWithOptimizer(FullyConnectedNetworkRegressor.Transformer, to: inout any EstimatorEncoder) throws`](/documentation/CreateMLComponents/FullyConnectedNetworkRegressor/encodeWithOptimizer(_:to:)) Encodes a fitted transformer with an optimizer. [`func makeTransformer() -> FullyConnectedNetworkRegressorModel`](/documentation/CreateMLComponents/FullyConnectedNetworkRegressor/makeTransformer()) Creates a default-initialized fully connected network regressor model suitable for incremental fitting. [`func update(inout FullyConnectedNetworkRegressorModel, with: InputSequence, eventHandler: EventHandler?) async throws`](/documentation/CreateMLComponents/FullyConnectedNetworkRegressor/update(_:with:eventHandler:)) Updates a fully connected network regressor model with a new sequence of examples. --- 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)