Javascript least squares data fitting methods
Regression transform for Vega dataflows.
Logistic regression
Polynomial Regression
Simple Linear Regression
Regression algorithms
Exponential Regression
Power regression
Base class for regression modules
Multivariate linear regression
Theil-Sen regression
TypeScript definitions for regression
Polynomial Regression 2D
Module for adding visual regression testing to Cypress
Robust polynomial regression using LMedS
Web test runner visual regression
JavaScript SDK for Visual Regression Tracker
Native integration for Playwright with Visual Regression Tracker
Visual regression testing tool with cypress
Lasso (least absolute shrinkage and selection operator) Regression
Visual Regression Testing for Storybook
Generates performance regression tests using benchmarkjs.
Image comparison / visual regression testing for WebdriverIO
Module for adding visual regression testing to Cypress
Regression Analysis Toolkit
Lightweight regression library (OLS, Ridge, Lasso, Elastic Net, WLS, LOESS, Polynomial) with 14 diagnostic tests, cross validation, and prediction intervals. Pure Rust - no external math dependencies. WASM, Python, FFI, and Excel XLL bindings.
Visual regression testing persistence and workflow for zensim
A robust statistics library for regression analysis
Lightweight benchmarking toolkit focused on practical performance analysis and report generation. Non-restrictive alternative to criterion, designed for easy integration and markdown report generation.
Regression models trained using variational inference
OptiRS benchmarking, profiling, and performance analysis tools
Comprehensive benchmarking suite for BitNet implementation
Cargo subcommand for 'pgrx' to make Postgres extension development easy
Collect test task from input files, execute them and compare results with golden.
Time series forecasting library
Statistical modeling for Rust — OLS/WLS regression, GLM, survival analysis, ARIMA/VAR, nonparametric tests, and more. A statsmodels-style library.
Rspec-page-regression provides a mechanism for headless regression testing of web page renders in RSpec. It takes into account HTML, CSS, and JavaScript, by virtue of using PhantomJS (via the Poltergeist gem) to render snapshots. It provides an RSpec matcher that compares the test snapshot to an expected image, and facilitates management of the images.
This project implements a simple least-squares polynomial fit
A linear regression gem
An implementation of a linear regression machine learning algorithm implemented in Ruby. The library supports simple problems with one independent variable used to predict a dependent variable as well as multivariate problems with multiple independent variables to predict a dependent variable. You can train your algorithms using the normal equation or gradient descent. The library is implemented in pure ruby using Ruby's Matrix implementation.
A simple library for calculating linear trend regressions against a time series data set. See README for more info
By annotating your test, profile their performance and check performance regression since last run.
An implementation of a linear regression machine learning algorithm implemented in Ruby. The library supports simple problems with one independent variable used to predict a dependent variable as well as multivariate problems with multiple independent variables to predict a dependent variable. You can train your algorithms using the normal equation or gradient descent. The library is implemented in pure ruby using Ruby's Matrix implementation.
A testing tool for Groonga packages.
Linear regression gem that uses nmatrix library , written in ruby.
Provides simple way to integrate regression test selection approach to your RSpec test suite
Provides simple way to integrate regression test selection approach to your RSpec test suite
Machine learning for Ruby. Supports regression (linear regression) and classification (naive Bayes)
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