# regression-robust-polynomial

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Robust polynomial regression using LMedS.

This code is based on the implementation of [this paper](https://doi.org/10.1007/BF00127126).

## Installation

`$ npm i ml-regression-robust-polynomial`

## Usage

```js
import { RobustPolynomialRegression } from 'ml-regression-robust-polynomial';

var size = 30;
var x = new Array(size);
var y = new Array(size);
for (var i = 0; i < size; i++) {
  x[i] = i;
  y[i] = 2 * i * i + 4 * i + 5;
}
y[4] = y[4] * 100;
y[10] = y[10] * -100;

var regression = new RobustPolynomialRegression(x, y, 3);

regression.predict(3) === 35;
```

## [API Documentation](https://mljs.github.io/regression-robust-polynomial/)

## License

[MIT](./LICENSE)

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[npm-url]: https://npmjs.org/package/ml-regression-robust-polynomial
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[travis-url]: https://travis-ci.org/mljs/regression-robust-polynomial
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[codecov-url]: https://codecov.io/gh/mljs/regression-robust-polynomial
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[download-url]: https://npmjs.org/package/ml-regression-robust-polynomial