Package | Description |
---|---|
gov.sandia.cognition.learning.function.cost |
Provides cost functions.
|
Modifier and Type | Class and Description |
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class |
KolmogorovSmirnovDivergence<DataType extends java.lang.Number>
CostFunction that induces a CDF that most-closely resembles the
target distribution according to the Kolmogorov-Smirnov (K-S) test.
|
class |
NegativeLogLikelihood<DataType>
CostFunction for computing the maximum likelihood
(because we are minimizing the negative of the log likelihood)
|
class |
ParallelNegativeLogLikelihood<DataType>
Parallel implementation of the NegativeLogLikleihood cost function
|
Modifier and Type | Method and Description |
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AbstractCostFunction<EvaluatedType,CostParametersType> |
AbstractCostFunction.clone() |