Regression class

Regression analysis methods.

Constructors

Regression()

Properties

hashCode → int

The hash code for this object.

no setter, inherited

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

Methods

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited

Static Methods

elasticNet(Matrix X, dynamic y, {double alpha = 1.0, double l1Ratio = 0.5, int maxIter = 1000, double tol = 1e-4}) → RegressionResult

Elastic Net regression (L1 and L2 regularization). l1Ratio = 1.0 is Lasso, 0.0 is Ridge.

lasso(Matrix X, dynamic y, {double alpha = 1.0, int maxIter = 1000, double tol = 1e-4}) → RegressionResult

Lasso regression (L1 regularization) using Coordinate Descent.

linear(dynamic x, dynamic y) → RegressionResult

Simple linear regression (y = a + bx).

logistic(Matrix X, dynamic y, {int maxIter = 100, double learningRate = 0.01}) → RegressionResult

Logistic regression for binary classification.

multipleLinear(Matrix X, dynamic y) → RegressionResult

Multiple linear regression.

polynomial(dynamic x, dynamic y, int degree) → RegressionResult

Polynomial regression.

ridge(Matrix X, dynamic y, {double alpha = 1.0}) → RegressionResult

Ridge regression (L2 regularization).