# fitted(to:eventHandler:) Fits a model to a sequence of examples. ``` func fitted(to input: some Sequence, MLShapedArray>>, eventHandler: EventHandler? = nil) async throws -> LinearTimeSeriesForecaster.Model ``` ## Parameters `input` A sequence of annotated features. Each feature’s shape should be `[featureSize]` and each annotation’s shape should be `[annotationSize]`. This method divides the input sequence into windows. `eventHandler` An event handler. ## Return Value The fitted model. ## Discussion This method uses a sliding window to chunk the input features into features of [`inputWindowSize`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/inputWindowSize) elements and annotations of [`forecastWindowSize`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/forecastWindowSize) elements. If you want to use a different windowing strategy, use [`fitted(toWindows:eventHandler:)`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/fitted(toWindows:eventHandler:)). --- 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)