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#Weka.classifiers.trees Classes and Interfaces - 44 results found.
NameDescriptionTypePackageFramework
ActiveHNodeNode that is "active" (i.Classweka.classifiers.trees.htWeka
BinC45ModelSelectionClass for selecting a C4.Classweka.classifiers.trees.j48Weka
BinC45SplitClass implementing a binary C4.Classweka.classifiers.trees.j48Weka
C45ModelSelectionClass for selecting a C4.Classweka.classifiers.trees.j48Weka
C45PruneableClassifierTreeClass for handling a tree structure that can be pruned using C4.Classweka.classifiers.trees.j48Weka
C45SplitClass implementing a C4.Classweka.classifiers.trees.j48Weka
ClassifierSplitModelAbstract class for classification models that can be used recursively to split the data.Classweka.classifiers.trees.j48Weka
ClassifierTreeClass for handling a tree structure used for classification.Classweka.classifiers.trees.j48Weka
ConditionalSufficientStatsRecords sufficient stats for an attributeVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWeka
CorrelationSplitInfoFinds split points using correlation.Classweka.classifiers.trees.m5Weka
DecisionStump Class for building and using a decision stump.Classweka.classifiers.treesWeka
DistributionClass for handling a distribution of class values.Classweka.classifiers.trees.j48Weka
EntropyBasedSplitCritClassweka.classifiers.trees.j48Weka
ModelSelectionAbstract class for model selection criteria.Classweka.classifiers.trees.j48Weka
NBNodeClassweka.classifiers.trees.htWeka
NBNodeAdaptive Bayes for predictionVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWeka
NBTreeClassifierTreeClass for handling a naive bayes tree structure used for classification.Classweka.classifiers.trees.j48Weka
NBTreeModelSelectionClass for selecting a NB tree split.Classweka.classifiers.trees.j48Weka
NBTreeNoSplitClass implementing a "no-split"-split (leaf node) for naive bayesVersion:$Revision: 10531 $Author:Mark Hall (mhall@cs.Classweka.classifiers.trees.j48Weka
NBTreeSplitClass implementing a NBTree split on an attribute.Classweka.classifiers.trees.j48Weka
NominalConditionalSufficientStatsMaintains sufficient stats for the distribution of a nominal attributeVersion:$Revision: 10432 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWeka
NoSplitClass implementing a "no-split"-split.Classweka.classifiers.trees.j48Weka
PreConstructedLinearModelThis class encapsulates a linear regression function.Classweka.classifiers.trees.m5Weka
PruneableClassifierTreeClass for handling a tree structure that can be pruned using a pruning set.Classweka.classifiers.trees.j48Weka
RandomForest Class for constructing a forest of random trees.Classweka.classifiers.treesWeka
RandomTree Class for constructing a tree that considers K randomly chosen attributes at each node.Classweka.classifiers.treesWeka
REPTree Fast decision tree learner.Classweka.classifiers.treesWeka
ResidualModelSelectionHelper class for logistic model trees (weka.Classweka.classifiers.trees.lmtWeka
ResidualSplitHelper class for logistic model trees (weka.Classweka.classifiers.trees.lmtWeka
RuleGenerates a single m5 tree or ruleVersion:$Revision: 10169 $Author:Mark HallSee Also:Serialized FormClassweka.classifiers.trees.m5Weka
RuleNodeConstructs a node for use in an m5 tree or ruleVersion:$Revision: 10283 $Author:Mark Hall (mhall@cs.Classweka.classifiers.trees.m5Weka
SimpleLinearRegressionStripped down version of SimpleLinearRegression.Classweka.classifiers.trees.lmtWeka
SplitBase class for different split typesVersion:$Revision: 10531 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWeka
SplitCandidateEncapsulates a candidate splitVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWeka
SplitCriterionAbstract class for computing splitting criteria with respect to distributions of class values.Classweka.classifiers.trees.j48Weka
SplitEvaluateInterface for objects that determine a split point on an attributeVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs.Interfaceweka.classifiers.trees.m5Weka
SplitMetricBase class for split metricsVersion:$Revision: 9720 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWeka
SplitNodeClass for a node that splits the data in a Hoeffding treeVersion:$Revision: 10169 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWeka
StatsClass implementing a statistical routine needed by J48 to compute its error estimate.Classweka.classifiers.trees.j48Weka
UnivariateNominalMultiwaySplitA multiway split based on a single nominal attributeVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWeka
UnivariateNumericBinarySplitA binary split based on a single numeric attributeVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWeka
ValuesStores some statistics.Classweka.classifiers.trees.m5Weka
WeightMassSimple container for a weightVersion:$Revision: 9707 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.classifiers.trees.htWeka
YongSplitInfoStores split information.Classweka.classifiers.trees.m5Weka