# fitted(to:eventHandler:) Fits a fully connected network regressor model to a sequence of examples. ``` func fitted(to input: Input, eventHandler: EventHandler? = nil) async throws -> FullyConnectedNetworkRegressor.Transformer where Input : Sequence, Input.Element == AnnotatedFeature, Float> ``` ## Parameters `input` A sequence of examples used for fitting the transformer. `eventHandler` An event handler. ## Return Value The fitted transformer. ## Discussion The training process partitions the input into random batches according to the batch size configuration parameter. Training stops when the maximum number of iterations is reached. > Note: This method does not do early-stopping, using a high value for `maximumIterations` may lead to > over-fitting. Consider providing a validation set. --- 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)