import LogisticRegression from '@jsmlt/jsmlt/src/supervised/linear/logistic_regression.js'

public class | source

LogisticRegression

Logistic Regression learner for 2 or more classes. Uses 1-vs-all classification.

Method Summary

Public Methods
public	createClassifier(classIndex: ):
public	train(X: , y: )

From class Estimator
public abstract	test(X: Array<Array<number>>): Array<mixed> Make a prediction for a data set.
public abstract	train(X: Array<Array<number>>, y: Array<mixed>) Train the supervised learning algorithm on a dataset.

From class OneVsAllClassifier
public	classifiers: *
public abstract	createClassifier(classIndex: number): BinaryClassifier Create a binary classifier for one of the classes.
public	createClassifiers(y: Array<number>) Create all binary classifiers.
public	predict(X: ):
public	trainBatch(X: Array<Array<number>>, y: Array<mixed>) Train all binary classifiers one-by-one
public	trainIterative() Train all binary classifiers iteration by iteration, i.e.

Create a binary classifier for one of the classes.

Name	Type	Attribute	Description
classIndex	*

Train the supervised learning algorithm on a dataset.