Simple Linear Regression
Multivariate linear regression
Simple Linear Regression
Generate a trendline using linear regression
calculation of a linear regression
Online linear regression
Package implements linear regression and logistic regression
Simple Linear Regression
Package implements linear regression and logistic regression
Multivariate linear regression
多元线性回归, Multivariate linear regression
linear regression toolkit
Multiple linear regression with TensorFlow
Predict future values with a simple but powerful linear regression algorithm, with JavaScript and TypeScript!
Linear regression with ndarray
Estimate multiple linear regression fit using least squares
Multiple linear regression.
help visualizing linear regression
Moving linear regression for timeseries data
Calculate statistical regressions for two-dimensional data
Package to perform basic predictions based on moving average, linear regression.
Pearson correlation and linear regression.
nodejs module for calculating a simple regression line from bivariate data using the 'linear least squares' function
Core statistical computations for the statili library. Provides linear regression and Z-score utilities with explicit error handling via discriminant unions.
Library for linear regression
Regression models trained using variational inference
A robust statistics library for regression analysis
Linear models for the ferrolearn ML framework
A simple 2D line-fitting RANSAC implementation inspired by scikit-learn's RANSACRegressor.
A `no_std` and no `alloc` library for linear curve coefficents calculation.
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.
A scikit-learn inspired machine learning library in Rust
Linear models for sklears: linear regression, logistic regression, and GLMs
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
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.
Linear regression gem that uses nmatrix library , written in ruby.
LineFit does weighted or unweighted least-squares line fitting to two-dimensional data (y = a + b * x). (Linear Regression)
Machine learning for Ruby. Supports regression (linear regression) and classification (naive Bayes)
High performance linear regression for Ruby, powered by GSL
Linear regression algorithms which implemented Alternating Least Squares & Gradient Descent
Rumale::LinearModel provides linear model algorithms, such as Logistic Regression, Support Vector Machine, Lasso, and Ridge Regression with Rumale interface.
SVMKit is a machine learninig library in Ruby. SVMKit provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. SVMKit supports Linear / Kernel Support Vector Machine, Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine, Naive Bayes, Decision Tree, AdaBoost, Random Forest, K-nearest neighbor algorithm, K-Means, DBSCAN, Principal Component Analysis, and Non-negative Matrix Factorization. Note that the SVMKit has been deprecated and has been renamed to Rumale.
Numo::Liblinear is a Ruby gem binding to the LIBLINEAR library. LIBLINEAR is one of the famous libraries for large-scale regularized linear classification and regression. Numo::Liblinear makes to use the LIBLINEAR functions with dataset represented by Numo::NArray.
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