# MultivariateLinearRegressor.Model A trained multivariate linear regressor model. ``` struct Model ``` ## Overview> Note: Only `Float` and `Double` are currently supported as the Scalar type. ## Topics ### Creating a regressor model [`init(weight: MLShapedArray, bias: MLShapedArray?)`](/documentation/CreateMLComponents/MultivariateLinearRegressor/Model/init(weight:bias:)) Creates a multivariate linear regressor. ### Getting the properties [`var inputSize: Int`](/documentation/CreateMLComponents/MultivariateLinearRegressor/Model/inputSize) The input size. [`var outputSize: Int`](/documentation/CreateMLComponents/MultivariateLinearRegressor/Model/outputSize) The output size. [`var weight: MLShapedArray`](/documentation/CreateMLComponents/MultivariateLinearRegressor/Model/weight) The linear coefficients. [`var bias: MLShapedArray?`](/documentation/CreateMLComponents/MultivariateLinearRegressor/Model/bias) The bias coefficients. ### Performing the regression [`func applied(to: MLShapedArray, eventHandler: EventHandler?) async throws -> MLShapedArray`](/documentation/CreateMLComponents/MultivariateLinearRegressor/Model/applied(to:eventHandler:)) Performs a prediction on a shaped array. ## Relationships ### Conforms To [`Transformer`](/documentation/CreateMLComponents/Transformer) [`SendableMetatype`](/documentation/Swift/SendableMetatype) [`Sendable`](/documentation/Swift/Sendable) --- 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)