Matrix applicative providing standard matrix operations Fork on Github

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The documentation can be found in the /docs folder or at the url https://astuanax.github.io/funmatrix/ Or a json format of the docs: docs.json

Generate docs using: npm run jsdocs

An example repository with machinelearning algorithms can be found at the funml repository The funml repository has a NeuralNetwork, a Perceptron and a DecisionTree algorithm. The test folder contains an example solving the XOR problem with a Neural network, using Decisiontrees on the Iris database and a simple Perceptron using the sonar database

$ npm install @astuanax/funmatrix --save

// Create matrix
const m = Matrix.of([[1, 2], [3, 4]])

// Generate identity matrix
const I  = m.identity() // [[1, 0], [0, 1]]

if(m.dot(I).equals(m)) {
    console.log('Dot product with identity matrix returns the same matrix')
}0

There are 2 ways to instantiate a Matrix, though you should not use the new keyword.

Matrix.ofaccepts both an array of arrays or a Matrix

const a = Matrix.of([[1, 2], [2, 3]])  // returns a Matrix
const b = Matrix.of(a) // returns a flattened Matrix from Matrix a

fromArray returns an Matrix with a clone of the provided array

Matrix.fromArray([[1, 2], [2, 3]])

• map
• fold
• ap
• concat

• add - a scalar or a Matrix
• additiveinverse - multiply by -1
• clone - clone a Matrix
• combine - combine 2 Matrices together
• dimension - get the rank
• dot - Calculate dotproduct of 2 Matrices
• empty - Return an empty Matrix
• equals - check if the Matrix deep equals another Matrix
• fromArray - Creates a Matrix from an Array
• getCols - Get the columns of the Matrix
• getRows - Get the rows of a Matrix
• getShape - Get the shape of a Matrix
• hadamard - Multiply a matrix witha scalar or another matrix
• identity - Returns an identity Matrix
• inverse - Returns theinverse of a Matrix
• isOrthogonal - Boolean indicating orhogonality
• isSymmetric - Boolean indicating symmetry
• lu - Returns 2 Matrices, Lower and Upper Matrix decomposition
• multiply - Multiplies a Matrix with a scalar or another Matrix
• ones - Fills a Matrix with 1 values
• precision - REturns the precision of the calculations used in dot product
• random - Fills a Matrix with random values (accepts a function)
• rank - Returns the rank of a Matrix
• rref - Returns the Row Reduced Echelon form
• setPrecision - Allows to set the precision
• solve (for b) - Solves the equation ax = b
• toArray - Returns an array
• transpose - Returns a tranposed Matrix
• zeros - Fills the Matrix with 0 values
• determinant - Calculates the determinant usin LU decomposition