Package | Description |
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gov.sandia.cognition.learning.algorithm.regression |
Provides regression algorithms, such as Linear Regression.
|
Modifier and Type | Class and Description |
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class |
ParameterDerivativeFreeCostMinimizer
Implementation of a class of objects that uses a derivative-free
minimization algorithm.
|
class |
ParameterDifferentiableCostMinimizer
This class adapts the unconstrained nonlinear minimization algorithms in
the "minimization" package to the task of estimating locally optimal
(minimum-cost) parameter sets.
|
Modifier and Type | Method and Description |
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AbstractMinimizerBasedParameterCostMinimizer<ResultType,EvaluatorType> |
AbstractMinimizerBasedParameterCostMinimizer.clone() |