LogisticRegressionModel class

Thin adapter providing a fit/predict interface for logistic regression.

Constructors

LogisticRegressionModel()

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

fit(List<List<double>> X, List<int> y, {double lr = 0.1, int epochs = 500}) → void

Fit the logistic regression model.

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

predict(List<List<double>> X) → List<int>

Predict labels for multiple examples.

predictOne(List<double> features) → int

Predict label (0/1) using 0.5 threshold.

predictProba(List<double> features) → double

Predict probability for a single example.

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited