# fitted(to:validateOn:eventHandler:) Fits a fully connected network regressor model to a sequence of examples. ``` func fitted(to input: Input, validateOn validation: Validation, eventHandler: EventHandler? = nil) async throws -> FullyConnectedNetworkRegressorModel where Input : Sequence, Validation : Sequence, Input.Element == AnnotatedFeature, Float>, Validation.Element == AnnotatedFeature, Float> ``` ## Parameters `input` A sequence of examples used for fitting the regressor. `validation` A sequence of examples used for validating the fitted regressor. `eventHandler` An event handler. ## Return Value The fitted fully connected network regressor model. ## Discussion The training process partitions the input into random batches according to the batch size configuration parameter. Training stops when the validation loss stops improving or when the maximum number of iterations is reached. --- 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)