Package de.uni_mannheim.informatik.dws.melt.matching_ml.python.nlptransformers

Enum TransformersOptimizingMetric

java.lang.Object

java.lang.Enum<TransformersOptimizingMetric>

de.uni_mannheim.informatik.dws.melt.matching_ml.python.nlptransformers.TransformersOptimizingMetric

All Implemented Interfaces:

Serializable, Comparable<TransformersOptimizingMetric>, java.lang.constant.Constable

public enum TransformersOptimizingMetric
extends Enum<TransformersOptimizingMetric>

The enum which represents the possible measure for evaluating a model during hyperparameter search.

Nested Class Summary

Nested classes/interfaces inherited from class java.lang.Enum

Enum.EnumDesc<E extends Enum<E>>

Enum Constant Summary

Enum Constants

Enum Constant	Description
ACCURACY	The accuracy is optimized.
AUC	The area under curve (AUC)will be optimized.
AUCF1	The sum of AUC and F1 will be optimized.
F1	The f-measure is optimized.
LOGLOSS	Log loss.
LOSS	The loss of the model is optimized.
PRECISION	The precision is optimized.
RECALL	The f-measure is optimized.

Constructor Summary

Constructors

Modifier	Constructor	Description
private	TransformersOptimizingMetric()

Method Summary

Modifier and Type	Method	Description
String	toString()
static TransformersOptimizingMetric	valueOf(String name)	Returns the enum constant of this type with the specified name.
static TransformersOptimizingMetric[]	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, describeConstable, equals, finalize, getDeclaringClass, hashCode, name, ordinal, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Details

LOSS

public static final TransformersOptimizingMetric LOSS

The loss of the model is optimized.

ACCURACY

public static final TransformersOptimizingMetric ACCURACY

The accuracy is optimized. This is not a differentiable measure. Be careful - the hp search will not run optimally.

F1

public static final TransformersOptimizingMetric F1

The f-measure is optimized. This is not a differentiable measure. Be careful - the hp search will not run optimally.

RECALL

public static final TransformersOptimizingMetric RECALL

The f-measure is optimized. This is not a differentiable measure. Be careful - the hp search will not run optimally.

PRECISION

public static final TransformersOptimizingMetric PRECISION

The precision is optimized. This is not a differentiable measure. Be careful - the hp search will not run optimally.

AUC

public static final TransformersOptimizingMetric AUC

The area under curve (AUC)will be optimized. This means the "confindence" value will be optimized.

AUCF1

public static final TransformersOptimizingMetric AUCF1

The sum of AUC and F1 will be optimized.

LOGLOSS

public static final TransformersOptimizingMetric LOGLOSS

Log loss.

Constructor Details

TransformersOptimizingMetric

private TransformersOptimizingMetric()

Method Details

values

public static TransformersOptimizingMetric[] values()

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

Returns:

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

valueOf

public static TransformersOptimizingMetric 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

toString

public String toString()

Overrides:

toString in class Enum<TransformersOptimizingMetric>