org.tribuo.regression.baseline

Enum DummyRegressionTrainer.DummyType

java.lang.Object

java.lang.Enum<DummyRegressionTrainer.DummyType>

org.tribuo.regression.baseline.DummyRegressionTrainer.DummyType

All Implemented Interfaces:

Serializable, Comparable<DummyRegressionTrainer.DummyType>

Enclosing class:

DummyRegressionTrainer

public static enum DummyRegressionTrainer.DummyType
extends Enum<DummyRegressionTrainer.DummyType>

Types of dummy regression model.

Enum Constant Summary

Enum Constants

Enum Constant and Description
CONSTANT Returns the specified constant value.
GAUSSIAN Samples from a Gaussian using the means and variances from the training data.
MEAN Returns the mean of the training data outputs.
MEDIAN Returns the median of the training data outputs.
QUARTILE Returns the training data output at the specified fraction of the sorted output.

Method Summary

Modifier and Type	Method and Description
static DummyRegressionTrainer.DummyType	valueOf(String name) Returns the enum constant of this type with the specified name.
static DummyRegressionTrainer.DummyType[]	values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum

clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Detail

MEAN

public static final DummyRegressionTrainer.DummyType MEAN

Returns the mean of the training data outputs.

MEDIAN

public static final DummyRegressionTrainer.DummyType MEDIAN

Returns the median of the training data outputs.

QUARTILE

public static final DummyRegressionTrainer.DummyType QUARTILE

Returns the training data output at the specified fraction of the sorted output.

CONSTANT

public static final DummyRegressionTrainer.DummyType CONSTANT

Returns the specified constant value.

GAUSSIAN

public static final DummyRegressionTrainer.DummyType GAUSSIAN

Samples from a Gaussian using the means and variances from the training data.

Method Detail

values

public static DummyRegressionTrainer.DummyType[] values()

Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:

for (DummyRegressionTrainer.DummyType c : DummyRegressionTrainer.DummyType.values())
    System.out.println(c);

Returns:

an array containing the constants of this enum type, in the order they are declared

valueOf

public static DummyRegressionTrainer.DummyType valueOf(String name)

Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)

Parameters:

name - the name of the enum constant to be returned.

Returns:

the enum constant with the specified name

Throws:

IllegalArgumentException - if this enum type has no constant with the specified name

NullPointerException - if the argument is null