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java.lang.Objectjava.lang.Enum<LearningPrinciple>
de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix.LearningPrinciple
public enum LearningPrinciple
This enum can be used to obtain the weights for well-known optimization tasks.
LogGenDisMixFunction
Enum Constant Summary | |
---|---|
MAP
Maximum a posteriori. |
|
MCL
Maximum conditional likelihood. |
|
ML
Maximum Likelihood. |
|
MSP
Maximum supervised posterior. |
Field Summary | |
---|---|
static int |
CONDITIONAL_LIKELIHOOD_INDEX
This constant is the array index of the weighting factor for the conditional likelihood. |
static int |
LIKELIHOOD_INDEX
This constant is the array index of the weighting factor for the likelihood. |
static int |
PRIOR_INDEX
This constant is the array index of the weighting factor for the prior. |
Method Summary | |
---|---|
static double[] |
checkWeights(double[] weights)
This method checks the values of the weights array. |
static double[] |
getBeta(LearningPrinciple key)
This method returns the standard weights for a predefined key. |
static LearningPrinciple |
valueOf(String name)
Returns the enum constant of this type with the specified name. |
static LearningPrinciple[] |
values()
Returns an array containing the constants of this enum type, in the order they are declared. |
Methods inherited from class java.lang.Enum |
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clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf |
Methods inherited from class java.lang.Object |
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getClass, notify, notifyAll, wait, wait, wait |
Enum Constant Detail |
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public static final LearningPrinciple ML
public static final LearningPrinciple MAP
public static final LearningPrinciple MCL
public static final LearningPrinciple MSP
Field Detail |
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public static final int CONDITIONAL_LIKELIHOOD_INDEX
getBeta(LearningPrinciple)
,
Constant Field Valuespublic static final int LIKELIHOOD_INDEX
getBeta(LearningPrinciple)
,
Constant Field Valuespublic static final int PRIOR_INDEX
getBeta(LearningPrinciple)
,
Constant Field ValuesMethod Detail |
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public static LearningPrinciple[] values()
for (LearningPrinciple c : LearningPrinciple.values()) System.out.println(c);
public static LearningPrinciple valueOf(String name)
name
- the name of the enum constant to be returned.
IllegalArgumentException
- if this enum type has no constant
with the specified name
NullPointerException
- if the argument is nullpublic static double[] getBeta(LearningPrinciple key)
key
- the key
ML
,
MAP
,
MCL
,
MSP
public static double[] checkWeights(double[] weights) throws IllegalArgumentException
weights
array. If everything is okay it returns a deep copy
of the array, otherwise it throws an exception
weights
- and array of length 3 with non-negative entries that sum to 1
IllegalArgumentException
- if the weights array is not correct
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