Package | Description |
---|---|
gov.sandia.cognition.learning.algorithm.ensemble |
Provides ensemble methods.
|
gov.sandia.cognition.learning.algorithm.tree |
Provides decision tree learning algorithms.
|
gov.sandia.cognition.learning.function.scalar |
Provides functions that output real numbers.
|
Modifier and Type | Class and Description |
---|---|
class |
AdditiveEnsemble<InputType,MemberType extends Evaluator<? super InputType,? extends java.lang.Number>>
An ensemble of regression functions that determine the result by adding
their outputs together.
|
class |
AveragingEnsemble<InputType,MemberType extends Evaluator<? super InputType,? extends java.lang.Number>>
An ensemble for regression functions that averages together the output value
of each ensemble member to get the final output.
|
class |
WeightedAdditiveEnsemble<InputType,MemberType extends Evaluator<? super InputType,? extends java.lang.Number>>
An implementation of an ensemble that takes a weighted sum of the values
returned by its members.
|
class |
WeightedAveragingEnsemble<InputType,MemberType extends Evaluator<? super InputType,? extends java.lang.Number>>
An implementation of an ensemble that takes the weighted average of its
members.
|
Modifier and Type | Class and Description |
---|---|
class |
RegressionTree<InputType>
The
RegressionTree class extends the DecisionTree class
to implement a decision tree that does regression. |
Modifier and Type | Class and Description |
---|---|
class |
KernelScalarFunction<InputType>
The
KernelScalarFunction class implements a scalar function that
uses a kernel to compute its output value. |
class |
LinearCombinationScalarFunction<InputType>
A weighted linear combination of scalar functions.
|
class |
LocallyWeightedKernelScalarFunction<InputType>
The
LocallyWeightedKernelScalarFunction class implements a scalar
function that uses kernels and does local weighting on them to get the
result value. |