preprocessing.Binarizer

Usage

import { Binarizer } from 'machinelearn/preprocessing';

const binX = [[1, -1, 2], [2, 0, 0], [0, 1, -1]];
const binarizer = new Binarizer({ threshold: 0 });
const result = binarizer.transform(binX);
// [ [ 1, 0, 1 ], [ 1, 0, 0 ], [ 0, 1, 0 ] ]

Constructors

• constructor

Methods

• fit

• transform

Constructors

constructor

⊕ Binarizer(__namedParameters: `object`)

Defined in preprocessing/data.ts:520

Parameters:

Returns: Binarizer

Methods

λ fit

Currently fit does nothing

Defined in preprocessing/data.ts:543

Parameters:

Returns:

void

λ transform

Transforms matrix into binarized form X = [[ 1., -1., 2.], [ 2., 0., 0.], [ 0., 1., -1.]] becomes array([[ 1., 0., 1.], [ 1., 0., 0.], [ 0., 1., 0.]])

Defined in preprocessing/data.ts:562

Parameters:

Returns:

any[]