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ml-regression-base

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ml-regression-base

Base class for regression modules

  • 1.1.1
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regression-base

NPM version build status npm download

Base class for regression modules.
This package is for ml.js internal use.

Usage

You only have to implement the _predict method. It is always called with a number.
The model should be created in the constructor.
Optional methods that can be implemented: toString, toLaTeX.

import BaseRegression from 'ml-regression-base';

class MyRegression extends BaseRegression {
    constructor(factor) {
        super();
        this.factor = factor;
    }
    _predict(x) {
        return x * this.factor;
    }
    toString() {
        return 'f(x) = x * 2';
    }
}

maybeToPrecision(value, digits)

This package also exports a convenience method to transform numbers to readable strings.
If digits is not specified, "value.toString()" is used. Otherwise "value.toPrecision(digits)" is used.
This method can be used to implement toString() or toLaTeX().

License

MIT

FAQs

Package last updated on 28 Apr 2017

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