# LinearTimeSeriesForecaster A time-series forecasting estimator. ``` struct LinearTimeSeriesForecaster where Scalar : MLShapedArrayScalar, Scalar : BinaryFloatingPoint ``` ## Overview> Note: Only `Float` and `Double` are currently supported as the Scalar type. You may get faster training > when using `Float`. ## Topics ### Creating a linear time series forecaster [`init(configuration: LinearTimeSeriesForecaster.Configuration)`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/init(configuration:)) Creates a linear time-series forecaster. ### Inspecting a linear time series forecaster [`let configuration: LinearTimeSeriesForecaster.Configuration`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/configuration-swift.property) The configuration. [`var forecastWindowSize: Int`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/forecastWindowSize) The number of predicted samples. [`var inputWindowSize: Int`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/inputWindowSize) The number of input samples. ### Updating and fitting [`func update(inout LinearTimeSeriesForecaster.Transformer, with: AnnotatedBatch) async throws -> Scalar`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/update(_:with:)) Updates a model with a new batch of examples. [`func update(inout LinearTimeSeriesForecaster.Model, withWindows: some Sequence, MLShapedArray>>, eventHandler: EventHandler?) async throws`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/update(_:withWindows:eventHandler:)) Updates a model with a sequence of windows. [`func fitted(to: some Sequence, MLShapedArray>>, eventHandler: EventHandler?) async throws -> LinearTimeSeriesForecaster.Model`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/fitted(to:eventHandler:)) Fits a model to a sequence of examples. [`func fitted(to: some Sequence, MLShapedArray>>, validateOn: some Sequence, MLShapedArray>>, eventHandler: EventHandler?) async throws -> LinearTimeSeriesForecaster.Model`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/fitted(to:validateOn:eventHandler:)) Fits a model to a sequence of examples with validation. [`func fitted(toWindows: some Sequence, MLShapedArray>>, eventHandler: EventHandler?) async throws -> LinearTimeSeriesForecaster.Model`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/fitted(toWindows:eventHandler:)) Fits a model to a sequence of windows. [`func fitted(toWindows: some Sequence, MLShapedArray>>, validateOn: some Sequence, MLShapedArray>>, eventHandler: EventHandler?) async throws -> LinearTimeSeriesForecaster.Model`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/fitted(toWindows:validateOn:eventHandler:)) Fits a model to a sequence of annotated windows with validation. ### Supporting types [`typealias Configuration`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/Configuration-swift.typealias) [`struct Model`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/Model) A linear time-series forecasting model. ### Default Implementations [SupervisedEstimator Implementations](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/SupervisedEstimator-Implementations) [UpdatableSupervisedEstimator Implementations](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/UpdatableSupervisedEstimator-Implementations) ## Relationships ### Conforms To [`SendableMetatype`](/documentation/Swift/SendableMetatype) [`Escapable`](/documentation/Swift/Escapable) [`Sendable`](/documentation/Swift/Sendable) [`SupervisedEstimator`](/documentation/CreateMLComponents/SupervisedEstimator) [`UpdatableSupervisedEstimator`](/documentation/CreateMLComponents/UpdatableSupervisedEstimator) [`Copyable`](/documentation/Swift/Copyable) --- 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)