LinearOptimizerType enum

Linear optimization types

The whole process of learning linear models confines to just finding coefficients of features of predicting line/hyperplane. There are several algorithms to find the coefficients that minimize a cost function best.

Inheritance

• Object
• Enum
• LinearOptimizerType

Constructors

LinearOptimizerType()

const

Values

gradient → const LinearOptimizerType

Original gradient descent/ascent optimization, only L2 regularization is applicable while optimizing a function using this method

coordinate → const LinearOptimizerType

Original coordinate descent optimization, only L1 regularization is applicable while optimizing a function using this method

closedForm → const LinearOptimizerType

Analytical solution of the linear regression problem. The solution based on finding the inverse of the feature matrix using LU decomposition

newton → const LinearOptimizerType

The Newton method

Properties

hashCode → int

The hash code for this object.

no setter, inherited

index → int

A numeric identifier for the enumerated value.

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

Constants

values → const List<LinearOptimizerType>

A constant List of the values in this enum, in order of their declaration.