Package org.neo4j.gds.ml.models.linearregression

Class LinearRegressor

java.lang.Object

org.neo4j.gds.ml.models.linearregression.LinearRegressor

All Implemented Interfaces:

Regressor

public class LinearRegressor
extends Object
implements Regressor

Nested Class Summary

Nested classes/interfaces inherited from interface org.neo4j.gds.ml.models.Regressor

Regressor.RegressorData

Constructor Summary

Constructors

Constructor	Description
LinearRegressor(LinearRegressionData data)

Method Summary

Modifier and Type	Method	Description
LinearRegressionData	data()
double	predict(double[] features)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

LinearRegressor

public LinearRegressor(LinearRegressionData data)

Method Details

predict

public double predict(double[] features)

Specified by:

predict in interface Regressor

data

public LinearRegressionData data()

Specified by:

data in interface Regressor