# init(learningRate:alpha:epsilon:centered:momentum:gradientScale:regularizationScale:clipsGradientsTo:regularizationFunction:) Returns a new RMSProp optimizer object. ``` init(learningRate: Float, alpha: Float, epsilon: Float, centered: Bool, momentum: Float, gradientScale: Float, regularizationScale: Float, clipsGradientsTo gradientBounds: ClosedRange? = nil, regularizationFunction: BNNSOptimizerRegularizationFunction) ``` ## Parameters `learningRate` A value that specifies the learning rate. `alpha` A constant that specifies smoothing, in the range `0` to `1`. `epsilon` A term that the optimizer adds to the denominator. `centered` A Boolean value that specifies whether to use the centered variant. `momentum` The rate of momentum decay. `gradientScale` A value that specifies the gradient scaling factor. `regularizationScale` A value that specifies the regularization scaling factor. `gradientBounds` The values for the minimum and maximum gradients. `regularizationFunction` The variable that specifies the regularization function. --- 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)