RegressionMetrics

java.lang.Object
- smile.validation.RegressionMetrics

All Implemented Interfaces:

java.io.Serializable
```
public class RegressionMetrics
extends java.lang.Object
implements java.io.Serializable
```
The regression validation metrics.

See Also:

Serialized Form

Field Summary

Fields
Modifier and Type	Field and Description
`double`	`fitTime` The time in milliseconds of fitting the model.
`double`	`mad` The mean absolute deviation on validation data.
`double`	`mse` The mean squared error on validation data.
`double`	`r2` The R-squared score on validation data.
`double`	`rmse` The root mean squared error on validation data.
`double`	`rss` The residual sum of squares.
`double`	`scoreTime` The time in milliseconds of scoring the validation data.
`int`	`size` The validation data size.

Constructor Summary

Constructors
Constructor and Description
`RegressionMetrics(double fitTime, double scoreTime, int size, double rss, double mse, double rmse, double mad, double r2)` Constructor.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type Method and Description

java.lang.String toString()
- Methods inherited from class java.lang.Object
  clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`java.lang.String`	`toString()`

Field Detail
- fitTime
```
public final double fitTime
```
  The time in milliseconds of fitting the model.
- scoreTime
```
public final double scoreTime
```
  The time in milliseconds of scoring the validation data.
- size
```
public final int size
```
  The validation data size.
- rss
```
public final double rss
```
  The residual sum of squares. on validation data.
- mse
```
public final double mse
```
  The mean squared error on validation data.
- rmse
```
public final double rmse
```
  The root mean squared error on validation data.
- mad
```
public final double mad
```
  The mean absolute deviation on validation data.
- r2
```
public final double r2
```
  The R-squared score on validation data.

Constructor Detail

RegressionMetrics

public RegressionMetrics(double fitTime,
                         double scoreTime,
                         int size,
                         double rss,
                         double mse,
                         double rmse,
                         double mad,
                         double r2)

Constructor.

Method Detail
- toString
```
public java.lang.String toString()
```
  Overrides:
  
  toString in class java.lang.Object

Class RegressionMetrics

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

fitTime

scoreTime

size

rss

mse

rmse

mad

r2

Constructor Detail

RegressionMetrics

Method Detail

toString