# LogisticRegressionClassifierModel A trained logistic regression classifier model. ``` struct LogisticRegressionClassifierModel where Scalar : MLShapedArrayScalar, Scalar : BinaryFloatingPoint, Label : Comparable, Label : Decodable, Label : Encodable, Label : Hashable ``` ## Topics ### Creating a regression model [`init(coefficients: some Sequence, labels: Set)`](/documentation/CreateMLComponents/LogisticRegressionClassifierModel/init(coefficients:labels:)) Creates a logistic regression model. ### Getting the properties [`var coefficients: [Scalar]`](/documentation/CreateMLComponents/LogisticRegressionClassifierModel/coefficients) The linear coefficients. [`var featureCount: Int`](/documentation/CreateMLComponents/LogisticRegressionClassifierModel/featureCount) The number of features expected in the input. ### Performing the classification [`func applied(to: MLShapedArray, eventHandler: EventHandler?) async throws -> ClassificationDistribution`](/documentation/CreateMLComponents/LogisticRegressionClassifierModel/applied(to:eventHandler:)) Performs a classification on a single input. ## Relationships ### Conforms To [`SendableMetatype`](/documentation/Swift/SendableMetatype) [`Transformer`](/documentation/CreateMLComponents/Transformer) [`Classifier`](/documentation/CreateMLComponents/Classifier) [`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)