# LinearRegressorModel A trained linear regressor model. ``` struct LinearRegressorModel where Scalar : MLShapedArrayScalar, Scalar : BinaryFloatingPoint ``` ## Topics ### Creating a regressor model [`init(coefficients: some Sequence)`](/documentation/CreateMLComponents/LinearRegressorModel/init(coefficients:)) Creates a linear regression model. ### Getting the properties [`var featureCount: Int`](/documentation/CreateMLComponents/LinearRegressorModel/featureCount) The number of features expected in the input. [`var coefficients: [Scalar]`](/documentation/CreateMLComponents/LinearRegressorModel/coefficients) The linear coefficients. ### Performing the regression [`func applied(to: MLShapedArray, eventHandler: EventHandler?) async throws -> Scalar`](/documentation/CreateMLComponents/LinearRegressorModel/applied(to:eventHandler:)) Performs a regression on a single input. ## Relationships ### Conforms To [`Transformer`](/documentation/CreateMLComponents/Transformer) [`Sendable`](/documentation/Swift/Sendable) [`Regressor`](/documentation/CreateMLComponents/Regressor) [`SendableMetatype`](/documentation/Swift/SendableMetatype) --- 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)