Simple Linear Regression
Regression algorithms
Multivariate linear regression
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
Exponential Regression
Theil-Sen regression
Robust polynomial regression using LMedS
Javascript least squares data fitting methods
Logistic regression
Polynomial Regression 2D
CART decision tree algorithm
A <LinearGradient> element for React Native
Machine learning tools
Lasso (least absolute shrinkage and selection operator) Regression
it performs a linear sum assignment even if the cost matrix is rectangular.
This allows you to add regression lines to any series. Supports: linear, polynomial, logarithmic, exponential and loess. Calculates the r-value
Iterative regression based baseline correction
Regression transform for Vega dataflows.
An open-source machine learning framework.
A factory for kernel functions