C# (CSharp) SuperNeuro.Regularizers Namespace

Classes

Name Description
L1 L1 regularization technique also called Lasso Regression

Lasso Regression (Least Absolute Shrinkage and Selection Operator) adds “absolute value of magnitude” of coefficient as penalty term to the loss function.

L2 L2 regularization technique also called Ridge Regression.

Ridge regression adds “squared magnitude” of coefficient as penalty term to the loss function. Here the highlighted part represents L2 regularization element.