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Hierarchy For Package gov.sandia.cognition.learning.algorithm.tree
Package Hierarchies:
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Class Hierarchy
java.lang.Object
gov.sandia.cognition.util.
AbstractCloneableSerializable
(implements gov.sandia.cognition.util.
CloneableSerializable
)
gov.sandia.cognition.learning.algorithm.tree.
AbstractDecisionTreeNode
<InputType,OutputType,InteriorType> (implements gov.sandia.cognition.learning.algorithm.tree.
DecisionTreeNode
<InputType,OutputType>)
gov.sandia.cognition.learning.algorithm.tree.
CategorizationTreeNode
<InputType,OutputType,InteriorType>
gov.sandia.cognition.learning.algorithm.tree.
RegressionTreeNode
<InputType,InteriorType>
gov.sandia.cognition.algorithm.
AbstractIterativeAlgorithm
(implements gov.sandia.cognition.algorithm.
IterativeAlgorithm
)
gov.sandia.cognition.learning.algorithm.tree.
AbstractDecisionTreeLearner
<InputType,OutputType> (implements java.io.Serializable)
gov.sandia.cognition.learning.algorithm.tree.
CategorizationTreeLearner
<InputType,OutputType> (implements gov.sandia.cognition.learning.algorithm.
SupervisedBatchLearner
<InputType,OutputType,ResultType>)
gov.sandia.cognition.learning.algorithm.tree.
RegressionTreeLearner
<InputType> (implements gov.sandia.cognition.learning.algorithm.
SupervisedBatchLearner
<InputType,OutputType,ResultType>)
gov.sandia.cognition.util.
AbstractRandomized
(implements gov.sandia.cognition.util.
Randomized
)
gov.sandia.cognition.learning.algorithm.tree.
RandomSubVectorThresholdLearner
<OutputType> (implements gov.sandia.cognition.math.matrix.
VectorFactoryContainer
, gov.sandia.cognition.learning.algorithm.tree.
VectorThresholdLearner
<OutputType>)
gov.sandia.cognition.learning.algorithm.tree.
AbstractVectorThresholdMaximumGainLearner
<OutputType> (implements gov.sandia.cognition.learning.algorithm.tree.
VectorThresholdLearner
<OutputType>)
gov.sandia.cognition.learning.algorithm.tree.
VectorThresholdGiniImpurityLearner
<OutputType>
gov.sandia.cognition.learning.algorithm.tree.
VectorThresholdHellingerDistanceLearner
<OutputType>
gov.sandia.cognition.learning.algorithm.tree.
VectorThresholdInformationGainLearner
<OutputType> (implements gov.sandia.cognition.learning.algorithm.tree.
PriorWeightedNodeLearner
<OutputType>)
gov.sandia.cognition.learning.algorithm.tree.
DecisionTree
<InputType,OutputType> (implements gov.sandia.cognition.evaluator.
Evaluator
<InputType,OutputType>)
gov.sandia.cognition.learning.algorithm.tree.
CategorizationTree
<InputType,OutputType> (implements gov.sandia.cognition.learning.function.categorization.
Categorizer
<InputType,CategoryType>)
gov.sandia.cognition.learning.algorithm.tree.
RegressionTree
<InputType> (implements gov.sandia.cognition.learning.function.regression.
Regressor
<InputType>)
gov.sandia.cognition.learning.algorithm.tree.
RandomForestFactory
gov.sandia.cognition.learning.algorithm.tree.
VectorThresholdVarianceLearner
(implements gov.sandia.cognition.learning.algorithm.tree.
VectorThresholdLearner
<OutputType>)
Interface Hierarchy
java.lang.Cloneable
gov.sandia.cognition.util.
CloneableSerializable
(also extends java.io.Serializable)
gov.sandia.cognition.learning.algorithm.
BatchLearner
<DataType,ResultType>
gov.sandia.cognition.learning.algorithm.tree.
DeciderLearner
<InputType,OutputType,CategoryType,DeciderType>
gov.sandia.cognition.learning.algorithm.tree.
VectorThresholdLearner
<OutputType> (also extends gov.sandia.cognition.learning.algorithm.
DimensionFilterableLearner
)
gov.sandia.cognition.learning.algorithm.tree.
DecisionTreeNode
<InputType,OutputType>
gov.sandia.cognition.learning.algorithm.
DimensionFilterableLearner
gov.sandia.cognition.learning.algorithm.tree.
VectorThresholdLearner
<OutputType> (also extends gov.sandia.cognition.learning.algorithm.tree.
DeciderLearner
<InputType,OutputType,CategoryType,DeciderType>)
gov.sandia.cognition.learning.algorithm.tree.
PriorWeightedNodeLearner
<OutputType>
java.io.Serializable
gov.sandia.cognition.util.
CloneableSerializable
(also extends java.lang.Cloneable)
gov.sandia.cognition.learning.algorithm.
BatchLearner
<DataType,ResultType>
gov.sandia.cognition.learning.algorithm.tree.
DeciderLearner
<InputType,OutputType,CategoryType,DeciderType>
gov.sandia.cognition.learning.algorithm.tree.
VectorThresholdLearner
<OutputType> (also extends gov.sandia.cognition.learning.algorithm.
DimensionFilterableLearner
)
gov.sandia.cognition.learning.algorithm.tree.
DecisionTreeNode
<InputType,OutputType>
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