SVMModel class

Support Vector Machine Model (Linear, OvR, Hinge Loss + L2)

Constructors

SVMModel({double learningRate = 0.01, double regularizationC = 1.0, int maxIterations = 1000, double tolerance = 1e-4})

Properties

biases → Map<String, double>

Get learned biases

no setter

classes → List<String>

Get list of trained class labels

no setter

hashCode → int

The hash code for this object.

no setter, inherited

learningRate → double

final

maxIterations → int

final

regularizationC → double

final

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

tolerance → double

final

weights → Map<String, Float64List>

Get learned weights

no setter

Methods

decisionFunction(Float64List x) → Map<String, double>

Compute raw decision scores for each class

fit(List<Float64List> X, List<String> y) → void

Train the model using One-vs-Rest strategy

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

predict(Float64List x) → String

Predict the class label for a single input vector

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited