Results for linear-regression-model

A npm package to make it easier to deal with a bunch of values, and try to model them in one of the most used mathematical models

Calculate statistical regressions for two-dimensional data

Simple Linear Regression

Multivariate linear regression

Regression transform for Vega dataflows.

Regression algorithms

Javascript least squares data fitting methods

The efficient alternative to Neural Networks. Implements SLRM (Segmented Linear Regression Model) for neural compression and non-linear data modeling, achieving high precision with a fraction of the parameters of a traditional ANN.

La alternativa eficiente a las Redes Neuronales. Implementa SLRM (Segmented Linear Regression Model) para compresión neuronal y modelado de datos no lineales, logrando alta precisión con una fracción de los parámetros de una ANN tradicional.

This allows you to add regression lines to any series. Supports: linear, polynomial, logarithmic, exponential and loess. Calculates the r-value

Fit a model to noisy data by excluding outliers. This is an implementation of the RANSAC algorithm.

TensorFlow layers API in JavaScript

Base class for regression modules

CSS Object Model implementation and CSS parser

The Linear Client SDK for interacting with the Linear GraphQL API

A linear algebra library written in TypeScript that focuses on generality, extensibility, and ease of use.

GPU Javascript Library for Machine Learning

Use the display-p3-linear color space on the color() function in CSS

A <LinearGradient> element for React Native

CSS Object Model implementation and CSS parser

CSS Object Model implementation and CSS parser

The open-source AI framework for regression testing.

Package implements linear regression and logistic regression

Statistical routines and probability distributions.