org.apache.ignite.ml.selection.scoring.metric.regression

Class RegressionMetricValues

java.lang.Object

org.apache.ignite.ml.selection.scoring.metric.regression.RegressionMetricValues

All Implemented Interfaces:

MetricValues

public class RegressionMetricValues
extends Object
implements MetricValues

Provides access to regression metric values.

Constructor Summary

Constructors

Constructor and Description
RegressionMetricValues(int totalAmount, double rss, double mae, double r2) Initalize an instance.

Method Summary

Modifier and Type	Method and Description
double	mae() Returns mean absolute error.
double	mse() Returns mean squared error.
double	r2() Returns coefficient of determination.
double	rmse() Returns root mean squared error.
double	rss() Returns residual sum of squares.

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.apache.ignite.ml.selection.scoring.metric.MetricValues

toMap

Constructor Detail

RegressionMetricValues

public RegressionMetricValues(int totalAmount,
                              double rss,
                              double mae,
                              double r2)

Initalize an instance.

Parameters:

totalAmount - Total amount of observations.

rss - Residual sum of squares.

mae - Mean absolute error.

r2 - Coefficient of determintaion.

Method Detail

mae

public double mae()

Returns mean absolute error.

mse

public double mse()

Returns mean squared error.

rss

public double rss()

Returns residual sum of squares.

rmse

public double rmse()

Returns root mean squared error.

r2

public double r2()

Returns coefficient of determination.