# kernel-sigmoid

**Repository Path**: mirrors_mljs/kernel-sigmoid

## Basic Information

- **Project Name**: kernel-sigmoid
- **Description**: Sigmoid (hyperbolic tangent) kernel
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-10-22
- **Last Updated**: 2026-03-22

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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)

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[npm-url]: https://npmjs.org/package/ml-kernel-sigmoid
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[download-url]: https://npmjs.org/package/ml-kernel-sigmoid