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ml-kernel-sigmoid

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Sigmoid (hyperbolic tangent) kernel

github.com/mljs/kernel-sigmoid

mljs/kernel-sigmoid

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# kernel-sigmoid [![NPM version][npm-image]][npm-url] [![build status][travis-image]][travis-url] [![npm download][download-image]][download-url] Sigmoid (hyperbolic tangent) kernel. See http://crsouza.com/2010/03/kernel-functions-for-machine-learning-applications/#sigmoid ## Installation `npm i ml-kernel-sigmoid` ## Usage ### new SigmoidKernel(options) **Options**: - `alpha` - value for the alpha factor (default: 0.01) - `constant` - value for the constant (default: -Math.E) ### kernel.compute(x, y) Returns the dot product between `x` and `y` in feature space. ## License [MIT](./LICENSE) [npm-image]: https://img.shields.io/npm/v/ml-kernel-sigmoid.svg?style=flat-square [npm-url]: https://npmjs.org/package/ml-kernel-sigmoid [travis-image]: https://img.shields.io/travis/mljs/kernel-sigmoid/master.svg?style=flat-square [travis-url]: https://travis-ci.org/mljs/kernel-sigmoid [download-image]: https://img.shields.io/npm/dm/ml-kernel-sigmoid.svg?style=flat-square [download-url]: https://npmjs.org/package/ml-kernel-sigmoid