# LinearTimeSeriesForecaster.Model A linear time-series forecasting model. ``` struct Model ``` ## Overview> Note: Only `Float` and `Double` are currently supported as the Scalar type. ## Topics ### Inspecting the model [`var annotationSize: Int`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/Model/annotationSize) The number of annotations per sample. [`var bias: MLShapedArray?`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/Model/bias) The bias coefficients. [`var featureSize: Int`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/Model/featureSize) The number of features per sample. [`var forecastWindowSize: Int`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/Model/forecastWindowSize) The number of prediction samples. [`var inputWindowSize: Int`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/Model/inputWindowSize) The number of input samples. [`var stride: Int`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/Model/stride) The number of samples between windows. [`var weight: MLShapedArray`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/Model/weight) The linear coefficients. ### Applying the model [`func applied(to:eventHandler:)`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/Model/applied(to:eventHandler:)) Performs a prediction on a shaped array of features. [`func applied(toWindow: MLShapedArray, eventHandler: EventHandler?) async throws -> MLShapedArray`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/Model/applied(toWindow:eventHandler:)) Performs a prediction on a window of input features. ### Exporting the model [`func export(to: URL) throws`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/Model/export(to:)) Exports this transformer as a CoreML model package. [`func export(to: URL, metadata: ModelMetadata) throws`](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/Model/export(to:metadata:)) Exports this transformer as a CoreML model package with user-supplied metadata. ### Default Implementations [TemporalTransformer Implementations](/documentation/CreateMLComponents/LinearTimeSeriesForecaster/Model/TemporalTransformer-Implementations) ## Relationships ### Conforms To [`SendableMetatype`](/documentation/Swift/SendableMetatype) [`Escapable`](/documentation/Swift/Escapable) [`TemporalTransformer`](/documentation/CreateMLComponents/TemporalTransformer) [`Transformer`](/documentation/CreateMLComponents/Transformer) [`Sendable`](/documentation/Swift/Sendable) [`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)