Multivariate linear regression
Simple Linear Regression
Regression algorithms
This is a copy of ml-regression-multivariate-linear with a minimal change for angular use.
Calculate statistical regressions for two-dimensional data
Base class for regression modules
Fit a model to noisy data by excluding outliers. This is an implementation of the RANSAC algorithm.
Polynomial Regression
Power regression
Theil-Sen regression
Exponential Regression
Robust polynomial regression using LMedS
Logistic regression
Machine learning tools
Polynomial Regression 2D
Javascript least squares data fitting methods
CART decision tree algorithm
Lasso (least absolute shrinkage and selection operator) Regression
Iterative regression based baseline correction
A factory for kernel functions
TensorFlow Data API in JavaScript
This allows you to add regression lines to any series. Supports: linear, polynomial, logarithmic, exponential and loess. Calculates the r-value
it performs a linear sum assignment even if the cost matrix is rectangular.
Exploratory Data Analysis Tools