# fitted(to:validateOn:eventHandler:) Fits a fully-connected network multi-label classifier model to a sequence of examples. ``` func fitted(to input: Input, validateOn validation: Validation, eventHandler: EventHandler? = nil) async throws -> FullyConnectedNetworkMultiLabelClassifierModel where Input : Sequence, Validation : Sequence, Input.Element == AnnotatedFeature, Set>, Validation.Element == AnnotatedFeature, Set> ``` ## Parameters `input` A sequence of examples used for fitting the classifier. `validation` A sequence of examples used for validating the fitted multi-label classifier. `eventHandler` An event handler. ## Return Value The fitted fully-connected network multi-label classifier 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)