jsat.classifiers.calibration

Enum BinaryCalibration.CalibrationMode

java.lang.Object

java.lang.Enum<BinaryCalibration.CalibrationMode>

jsat.classifiers.calibration.BinaryCalibration.CalibrationMode

All Implemented Interfaces:

Serializable, Comparable<BinaryCalibration.CalibrationMode>

Enclosing class:

BinaryCalibration

public static enum BinaryCalibration.CalibrationMode
extends Enum<BinaryCalibration.CalibrationMode>

Controls how the scores are obtained for producing a "training set" to calibrate the output of the underlying model.

Enum Constant Summary

Enum Constants

Enum Constant and Description
CV The model will be trained by cross validation, using the specified number of BinaryCalibration.setCalibrationFolds(int).
HOLD_OUT The model will have a random fraction of the data set held out, and trained on the rest of the data.
NAIVE The naive methods trains the classifier on the whole data set, and then produces the scores for each training point.

Method Summary

Modifier and Type	Method and Description
static BinaryCalibration.CalibrationMode	valueOf(String name) Returns the enum constant of this type with the specified name.
static BinaryCalibration.CalibrationMode[]	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

NAIVE

public static final BinaryCalibration.CalibrationMode NAIVE

The naive methods trains the classifier on the whole data set, and then produces the scores for each training point. This may cause over fitting.

CV

public static final BinaryCalibration.CalibrationMode CV

The model will be trained by cross validation, using the specified number of BinaryCalibration.setCalibrationFolds(int). The default is 3 folds, where the classifier will be trained on the folds not in the set, and then produce scores for the unobserved test points in the held out fold.

HOLD_OUT

public static final BinaryCalibration.CalibrationMode HOLD_OUT

The model will have a random fraction of the data set held out, and trained on the rest of the data. The scores will then be produced for the held out data and used for calibration.

Method Detail

values

public static BinaryCalibration.CalibrationMode[] 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 (BinaryCalibration.CalibrationMode c : BinaryCalibration.CalibrationMode.values())
    System.out.println(c);

Returns:

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

valueOf

public static BinaryCalibration.CalibrationMode 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