ml-array-rescale

What is ml-array-rescale?

The ml-array-rescale npm package is used to rescale arrays to a specified range. This can be particularly useful in data preprocessing for machine learning tasks, where normalizing or standardizing data is a common step.

What are ml-array-rescale's main functionalities?

Rescale array to a specified range

This feature allows you to rescale an array to a specified range. In this example, the array [1, 2, 3, 4, 5] is rescaled to the range [0, 1].

const rescale = require('ml-array-rescale');
const array = [1, 2, 3, 4, 5];
const rescaledArray = rescale(array, {min: 0, max: 1});
console.log(rescaledArray); // Output: [0, 0.25, 0.5, 0.75, 1]

Rescale array with default range

This feature allows you to rescale an array to the default range [0, 1] if no range is specified. In this example, the array [10, 20, 30, 40, 50] is rescaled to the range [0, 1].

const rescale = require('ml-array-rescale');
const array = [10, 20, 30, 40, 50];
const rescaledArray = rescale(array);
console.log(rescaledArray); // Output: [0, 0.25, 0.5, 0.75, 1]

Other packages similar to ml-array-rescale

scikit-learn

The scikit-learn package is a comprehensive machine learning library for Python that includes a preprocessing module with functions for scaling and normalizing data. It is more feature-rich compared to ml-array-rescale, offering a wide range of machine learning algorithms and utilities.

minmaxscaler

The minmaxscaler npm package provides similar functionality to ml-array-rescale, allowing you to scale arrays to a specified range. However, it is less popular and less frequently updated compared to ml-array-rescale.

README

array-rescale

Rescale an array into a range.

Installation

$ npm install --save ml-array-rescale

Usage

rescale(input[, options])

Rescales the values in the input so they fit between two new values.

Options:

• min: the new minimum value (default: 0)
• max: the new maximum value (default: 1)
• output: an array to use for output. You can pass input here to get an in-place modification.

import rescale from 'ml-array-rescale';

const result = rescale([0, 1, 2, 3, 4]);
// [0, 0.25, 0.5, 0.75, 1]

License

MIT