# ml-kernel-gaussian

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[![build status][travis-image]][travis-url]
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The gaussian (radial basis function) kernel.

## Installation

`$ npm i ml-kernel-gaussian`

## Usage

### new GaussianKernel(options)

**Options**:

- `sigma` - value for the sigma parameter (default: 1).

### 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-gaussian.svg?style=flat-square
[npm-url]: https://npmjs.org/package/ml-kernel-gaussian
[travis-image]: https://img.shields.io/travis/mljs/kernel-gaussian/master.svg?style=flat-square
[travis-url]: https://travis-ci.org/mljs/kernel-gaussian
[download-image]: https://img.shields.io/npm/dm/ml-kernel-gaussian.svg?style=flat-square
[download-url]: https://npmjs.org/package/ml-kernel-gaussian


The gaussian (radial basis function) kernel. 

Announcing our $40M Series B led by Abstract Ventures

ml-kernel-gaussian

The gaussian (radial basis function) kernel

targos

jeffersonh44

lpatiny

maasencioh

stropitek

andcastillo

ml-bot

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ml-kernel-gaussian