#Weka.classifiers Classes and Interfaces

_{#Weka.classifiers Classes and Interfaces - 170 results found.}

Name	Description	Type	Package	Framework
AbstractClassifier	Abstract classifier.	Class	weka.classifiers	Weka
AbstractEvaluationMetric	Abstract base class for pluggable classification/regression evaluationVersion:$Revision: 12409 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form	Class	weka.classifiers.evaluation	Weka
AbstractOutput	A superclass for outputting the classifications of a classifier.	Class	weka.classifiers.evaluation.output.prediction	Weka
AbstractPMMLProducerHelper	Abstract base class for PMMLProducer helper classes to extend.	Class	weka.classifiers.pmml.producer	Weka
ActiveHNode	Node that is "active" (i.	Class	weka.classifiers.trees.ht	Weka
AdaBoostM1	Class for boosting a nominal class classifier using the Adaboost M1 method.	Class	weka.classifiers.meta	Weka
AdditiveRegression	Meta classifier that enhances the performance of a regression base classifier.	Class	weka.classifiers.meta	Weka
ADNode	The ADNode class implements the ADTree datastructure which increases the speed with which sub-contingency tables can be constructed from a data set in	Class	weka.classifiers.bayes.net	Weka
AggregateableEvaluation	Subclass of Evaluation that provides a method for aggregating the results stored in another Evaluation object.	Class	weka.classifiers	Weka
AggregateableEvaluation	Subclass of Evaluation that provides a method for aggregating the results stored in another Evaluation object.	Class	weka.classifiers.evaluation	Weka
AttributeSelectedClassifier	Dimensionality of training and test data is reduced by attribute selection before being passed on to a classifier.	Class	weka.classifiers.meta	Weka
Bagging	Class for bagging a classifier to reduce variance.	Class	weka.classifiers.meta	Weka
BayesNet	Bayes Network learning using various search algorithms and quality measures.	Class	weka.classifiers.bayes	Weka
BayesNetEstimator	BayesNetEstimator is the base class for estimating the conditional probability tables of a Bayes network once the structure has	Class	weka.classifiers.bayes.net.estimate	Weka
BayesNetGenerator	Bayes Network learning using various search algorithms and quality measures.	Class	weka.classifiers.bayes.net	Weka
BIFReader	Builds a description of a Bayes Net classifier stored in XML BIF 0.	Class	weka.classifiers.bayes.net	Weka
BinC45ModelSelection	Class for selecting a C4.	Class	weka.classifiers.trees.j48	Weka
BinC45Split	Class implementing a binary C4.	Class	weka.classifiers.trees.j48	Weka
BMAEstimator	BMAEstimator estimates conditional probability tables of a Bayes network using Bayes Model Averaging (BMA).	Class	weka.classifiers.bayes.net.estimate	Weka
BVDecompose	Class for performing a Bias-Variance decomposition on any classifier using the method specified in: Ron Kohavi, David H.	Class	weka.classifiers	Weka
BVDecomposeSegCVSub	This class performs Bias-Variance decomposion on any classifier using the sub-sampled cross-validation procedure as specified in (1).	Class	weka.classifiers	Weka
C45ModelSelection	Class for selecting a C4.	Class	weka.classifiers.trees.j48	Weka
C45PruneableClassifierTree	Class for handling a tree structure that can be pruned using C4.	Class	weka.classifiers.trees.j48	Weka
C45PruneableDecList	Class for handling a partial tree structure pruned using C4.	Class	weka.classifiers.rules.part	Weka
C45Split	Class implementing a C4.	Class	weka.classifiers.trees.j48	Weka
CachedKernel	Base class for RBFKernel and PolyKernel that implements a simple LRU.	Class	weka.classifiers.functions.supportVector	Weka
CheckClassifier	Class for examining the capabilities and finding problems with classifiers.	Class	weka.classifiers	Weka
CheckKernel	Class for examining the capabilities and finding problems with kernels.	Class	weka.classifiers.functions.supportVector	Weka
CheckSource	A simple class for checking the source generated from Classifiers implementing the weka.	Class	weka.classifiers	Weka
CISearchAlgorithm	The CISearchAlgorithm class supports Bayes net structure search algorithms that are based on conditional independence test (as opposed to for example score based of cross validation based search algorithms).	Class	weka.classifiers.bayes.net.search.ci	Weka
ClassificationViaRegression	Class for doing classification using regression methods.	Class	weka.classifiers.meta	Weka
Classifier	Classifier interface.	Interface	weka.classifiers	Weka
ClassifierDecList	Class for handling a rule (partial tree) for a decision list.	Class	weka.classifiers.rules.part	Weka
ClassifierSplitModel	Abstract class for classification models that can be used recursively to split the data.	Class	weka.classifiers.trees.j48	Weka
ClassifierTree	Class for handling a tree structure used for classification.	Class	weka.classifiers.trees.j48	Weka
ConditionalDensityEstimator	Interface for numeric prediction schemes that can output conditionalVersion:$Revision: 8034 $Author:Eibe Frank (eibe@cs.	Interface	weka.classifiers	Weka
ConditionalSufficientStats	Records sufficient stats for an attributeVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.	Class	weka.classifiers.trees.ht	Weka
ConfusionMatrix	Cells of this matrix correspond to counts of the number (or weight) of predictions for each actual value / predicted value combination.	Class	weka.classifiers.evaluation	Weka
CorrelationSplitInfo	Finds split points using correlation.	Class	weka.classifiers.trees.m5	Weka
CostCurve	Generates points illustrating probablity cost tradeoffs that can be obtained by varying the threshold value between classes.	Class	weka.classifiers.evaluation	Weka
CostMatrix	Class for storing and manipulating a misclassification cost matrix.	Class	weka.classifiers	Weka
CostSensitiveClassifier	A metaclassifier that makes its base classifier cost-sensitive.	Class	weka.classifiers.meta	Weka
CSV	Outputs the predictions as CSV.	Class	weka.classifiers.evaluation.output.prediction	Weka
CVParameterSelection	Class for performing parameter selection by cross-validation for any classifier.	Class	weka.classifiers.meta	Weka
DecisionStump	Class for building and using a decision stump.	Class	weka.classifiers.trees	Weka
DecisionTable	Class for building and using a simple decision table majority classifier.	Class	weka.classifiers.rules	Weka
DecisionTableHashKey	Class providing hash table keys for DecisionTableSee Also:Serialized Form	Class	weka.classifiers.rules	Weka
DiscreteEstimatorBayes	Symbolic probability estimator based on symbol counts and a prior.	Class	weka.classifiers.bayes.net.estimate	Weka
DiscreteEstimatorFullBayes	Symbolic probability estimator based on symbol counts and a prior.	Class	weka.classifiers.bayes.net.estimate	Weka
Distribution	Class for handling a distribution of class values.	Class	weka.classifiers.trees.j48	Weka
EditableBayesNet	Bayes Network learning using various search algorithms and quality measures.	Class	weka.classifiers.bayes.net	Weka
EntropyBasedSplitCrit		Class	weka.classifiers.trees.j48	Weka
ModelSelection	Abstract class for model selection criteria.	Class	weka.classifiers.trees.j48	Weka
MultiClassClassifier	A metaclassifier for handling multi-class datasets with 2-class classifiers.	Class	weka.classifiers.meta	Weka
MultiClassClassifierUpdateable	A metaclassifier for handling multi-class datasets with 2-class classifiers.	Class	weka.classifiers.meta	Weka
MultilayerPerceptron	A Classifier that uses backpropagation to classify This network can be built by hand, created by an algorithm or both.	Class	weka.classifiers.functions	Weka
MultiNomialBMAEstimator	Multinomial BMA Estimator.	Class	weka.classifiers.bayes.net.estimate	Weka
MultipleClassifiersCombiner	Abstract utility class for handling settings common to meta classifiers that build an ensemble from multiple classifiers.	Class	weka.classifiers	Weka
MultiScheme	Class for selecting a classifier from among several using cross validation on the training data or the performance on the training data.	Class	weka.classifiers.meta	Weka
NaiveBayes	Class for a Naive Bayes classifier using estimator classes.	Class	weka.classifiers.bayes	Weka
NaiveBayes	The NaiveBayes class generates a fixed Bayes network structure with arrows from the class variable to each of the attribute variables.	Class	weka.classifiers.bayes.net.search.fixed	Weka
NaiveBayesMultinomialText	Multinomial naive bayes for text data.	Class	weka.classifiers.bayes	Weka
NaiveBayesUpdateable	Class for a Naive Bayes classifier using estimator classes.	Class	weka.classifiers.bayes	Weka
NBNode		Class	weka.classifiers.trees.ht	Weka
NBNodeAdaptive	Bayes for predictionVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.	Class	weka.classifiers.trees.ht	Weka
NBTreeClassifierTree	Class for handling a naive bayes tree structure used for classification.	Class	weka.classifiers.trees.j48	Weka
NBTreeModelSelection	Class for selecting a NB tree split.	Class	weka.classifiers.trees.j48	Weka
NBTreeNoSplit	Class implementing a "no-split"-split (leaf node) for naive bayesVersion:$Revision: 10531 $Author:Mark Hall (mhall@cs.	Class	weka.classifiers.trees.j48	Weka
NBTreeSplit	Class implementing a NBTree split on an attribute.	Class	weka.classifiers.trees.j48	Weka
NeuralConnection	Abstract unit in a NeuralNetwork.	Class	weka.classifiers.functions.neural	Weka
NeuralMethod	This is an interface used to create classes that can be used by the neuralnode to perform all it's computations.	Interface	weka.classifiers.functions.neural	Weka
NeuralNetwork	Class implementing import of PMML Neural Network model.	Class	weka.classifiers.pmml.consumer	Weka
NeuralNode	This class is used to represent a node in the neuralnet.	Class	weka.classifiers.functions.neural	Weka
NominalConditionalSufficientStats	Maintains sufficient stats for the distribution of a nominal attributeVersion:$Revision: 10432 $Author:Richard Kirkby (rkirkby@cs.	Class	weka.classifiers.trees.ht	Weka
NominalPrediction	Encapsulates an evaluatable nominal prediction: the predicted probability distribution plus the actual class value.	Class	weka.classifiers.evaluation	Weka
NormalizedPolyKernel	The normalized polynomial kernel.	Class	weka.classifiers.functions.supportVector	Weka
NoSplit	Class implementing a "no-split"-split.	Class	weka.classifiers.trees.j48	Weka
Null	Suppresses all output.	Class	weka.classifiers.evaluation.output.prediction	Weka
NumericPrediction	Encapsulates an evaluatable numeric prediction: the predicted class value plus the actual class value.	Class	weka.classifiers.evaluation	Weka
OneR	Class for building and using a 1R classifier; in other words, uses the minimum-error attribute for prediction, discretizing	Class	weka.classifiers.rules	Weka
ParallelIteratedSingleClassifierEnhancer	Abstract utility class for handling settings common to meta classifiers that build an ensemble in parallel from a single base learner.	Class	weka.classifiers	Weka
ParallelMultipleClassifiersCombiner	Abstract utility class for handling settings common to meta classifiers that build an ensemble in parallel using multiple	Class	weka.classifiers	Weka
ParentSet	Helper class for Bayes Network classifiers.	Class	weka.classifiers.bayes.net	Weka
PART	Class for generating a PART decision list.	Class	weka.classifiers.rules	Weka
PlainText	Outputs the predictions in plain text.	Class	weka.classifiers.evaluation.output.prediction	Weka
PMMLClassifier	Abstract base class for all PMML classifiers.	Class	weka.classifiers.pmml.consumer	Weka
PolyKernel	The polynomial kernel : K(x, y) = ^p or K(x, y) = (+1)^p	Class	weka.classifiers.functions.supportVector	Weka
PrecomputedKernelMatrixKernel	This kernel is based on a static kernel matrix that is read from a file.	Class	weka.classifiers.functions.supportVector	Weka
PreConstructedLinearModel	This class encapsulates a linear regression function.	Class	weka.classifiers.trees.m5	Weka
Prediction	Encapsulates a single evaluatable prediction: the predicted value plus the actual class value.	Interface	weka.classifiers.evaluation	Weka
PruneableClassifierTree	Class for handling a tree structure that can be pruned using a pruning set.	Class	weka.classifiers.trees.j48	Weka
PruneableDecList	Class for handling a partial tree structure that can be pruned using aVersion:$Revision: 10153 $Author:Eibe Frank (eibe@cs.	Class	weka.classifiers.rules.part	Weka
Puk	The Pearson VII function-based universal kernel.	Class	weka.classifiers.functions.supportVector	Weka
RandomCommittee	Class for building an ensemble of randomizable base classifiers.	Class	weka.classifiers.meta	Weka
RandomForest	Class for constructing a forest of random trees.	Class	weka.classifiers.trees	Weka
RandomizableClassifier	Abstract utility class for handling settings common to randomizableVersion:$Revision: 10141 $Author:Eibe Frank (eibe@cs.	Class	weka.classifiers	Weka
RandomizableFilteredClassifier	Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.	Class	weka.classifiers.meta	Weka
RandomizableIteratedSingleClassifierEnhancer	Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner.	Class	weka.classifiers	Weka
RandomizableMultipleClassifiersCombiner	Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from multiple classifiers based	Class	weka.classifiers	Weka
RandomizableParallelIteratedSingleClassifierEnhancer	Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble in parallel from a single base	Class	weka.classifiers	Weka
RandomizableParallelMultipleClassifiersCombiner	Abstract utility class for handling settings common to meta classifiers that build an ensemble in parallel using multiple	Class	weka.classifiers	Weka
RandomizableSingleClassifierEnhancer	Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner.	Class	weka.classifiers	Weka
RandomSubSpace	This method constructs a decision tree based classifier that maintains highest accuracy on training data and improves on generalization accuracy as it grows in complexity.	Class	weka.classifiers.meta	Weka
RandomTree	Class for constructing a tree that considers K randomly chosen attributes at each node.	Class	weka.classifiers.trees	Weka
RBFKernel	The RBF kernel.	Class	weka.classifiers.functions.supportVector	Weka
RegOptimizer	Base class implementation for learning algorithm of SMOreg Valid options are:	Class	weka.classifiers.functions.supportVector	Weka
Regression	Class implementing import of PMML Regression model.	Class	weka.classifiers.pmml.consumer	Weka
RegressionAnalysis	Analyzes linear regression model by using the Student's t-test on each coefficient.	Class	weka.classifiers.evaluation	Weka
RegressionByDiscretization	A regression scheme that employs any classifier on a copy of the data that has the class attribute (equal-width) discretized.	Class	weka.classifiers.meta	Weka
RegSMO	Implementation of SMO for support vector regression A.	Class	weka.classifiers.functions.supportVector	Weka
RegSMOImproved	Learn SVM for regression using SMO with Shevade, Keerthi, et al.	Class	weka.classifiers.functions.supportVector	Weka
RepeatedHillClimber	This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure and	Class	weka.classifiers.bayes.net.search.global	Weka
RepeatedHillClimber	This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure and	Class	weka.classifiers.bayes.net.search.local	Weka
REPTree	Fast decision tree learner.	Class	weka.classifiers.trees	Weka
ResidualModelSelection	Helper class for logistic model trees (weka.	Class	weka.classifiers.trees.lmt	Weka
ResidualSplit	Helper class for logistic model trees (weka.	Class	weka.classifiers.trees.lmt	Weka
Rule	Abstract class of generic ruleVersion:$Revision: 8034 $Author:Xin Xu (xx5@cs.	Class	weka.classifiers.rules	Weka
Rule	Generates a single m5 tree or ruleVersion:$Revision: 10169 $Author:Mark HallSee Also:Serialized Form	Class	weka.classifiers.trees.m5	Weka
RuleNode	Constructs a node for use in an m5 tree or ruleVersion:$Revision: 10283 $Author:Mark Hall (mhall@cs.	Class	weka.classifiers.trees.m5	Weka
RuleSetModel	Class implementing import of PMML RuleSetModel.	Class	weka.classifiers.pmml.consumer	Weka
RuleStats	This class implements the statistics functions used in the propositional rule learner, from the simpler ones like count of true/false positive/negatives,	Class	weka.classifiers.rules	Weka
Scoreable	Interface for allowing to score a classifierVersion:$Revision: 8034 $Author:Remco Bouckaert (rrb@xm.	Interface	weka.classifiers.bayes.net.search.local	Weka
SearchAlgorithm	This is the base class for all search algorithms for learning Bayes networks.	Class	weka.classifiers.bayes.net.search	Weka
SerializedClassifier	A wrapper around a serialized classifier model.	Class	weka.classifiers.misc	Weka
SGD	Implements stochastic gradient descent for learning various linear models (binary class SVM, binary class logistic regression, squared loss, Huber loss and epsilon-insensitive loss linear regression).	Class	weka.classifiers.functions	Weka
SGDText	Implements stochastic gradient descent for learning a linear binary class SVM or binary class logistic regression on text data.	Class	weka.classifiers.functions	Weka
SGDText .Count		Class	weka.classifiers.functions	Weka
SigmoidUnit	This can be used by the neuralnode to perform all it's computations (as a sigmoid unit).	Class	weka.classifiers.functions.neural	Weka
SimpleEstimator	SimpleEstimator is used for estimating the conditional probability tables of a Bayes network once the structure has been	Class	weka.classifiers.bayes.net.estimate	Weka
SimpleLinearRegression	Learns a simple linear regression model.	Class	weka.classifiers.functions	Weka
SimpleLinearRegression	Stripped down version of SimpleLinearRegression.	Class	weka.classifiers.trees.lmt	Weka
SimpleLogistic	Classifier for building linear logistic regression models.	Class	weka.classifiers.functions	Weka
SimulatedAnnealing	This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoring	Class	weka.classifiers.bayes.net.search.global	Weka
SimulatedAnnealing	This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoring	Class	weka.classifiers.bayes.net.search.local	Weka
SingleClassifierEnhancer	Abstract utility class for handling settings common to meta classifiers that use a single base learner.	Class	weka.classifiers	Weka
SMO	Implements John Platt's sequential minimal optimization algorithm for training a support vector classifier.	Class	weka.classifiers.functions	Weka
SMOreg	SMOreg implements the support vector machine for regression.	Class	weka.classifiers.functions	Weka
SMOset	Stores a set of integer of a given size.	Class	weka.classifiers.functions.supportVector	Weka
Sourcable	Interface for classifiers that can be converted to Java source.	Interface	weka.classifiers	Weka
Split	Base class for different split typesVersion:$Revision: 10531 $Author:Richard Kirkby (rkirkby@cs.	Class	weka.classifiers.trees.ht	Weka
SplitCandidate	Encapsulates a candidate splitVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.	Class	weka.classifiers.trees.ht	Weka
SplitCriterion	Abstract class for computing splitting criteria with respect to distributions of class values.	Class	weka.classifiers.trees.j48	Weka
SplitEvaluate	Interface for objects that determine a split point on an attributeVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs.	Interface	weka.classifiers.trees.m5	Weka
SplitMetric	Base class for split metricsVersion:$Revision: 9720 $Author:Richard Kirkby (rkirkby@cs.	Class	weka.classifiers.trees.ht	Weka
SplitNode	Class for a node that splits the data in a Hoeffding treeVersion:$Revision: 10169 $Author:Richard Kirkby (rkirkby@cs.	Class	weka.classifiers.trees.ht	Weka
Stacking	Combines several classifiers using the stacking method.	Class	weka.classifiers.meta	Weka
StandardEvaluationMetric	Primarily a marker interface for a "standard" evaluation metric - i.	Interface	weka.classifiers.evaluation	Weka
Stats	Class implementing a statistical routine needed by J48 to compute its error estimate.	Class	weka.classifiers.trees.j48	Weka
SupportVectorMachineModel		Class	weka.classifiers.pmml.consumer	Weka
TabuSearch	This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure.	Class	weka.classifiers.bayes.net.search.global	Weka
TabuSearch	This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure.	Class	weka.classifiers.bayes.net.search.local	Weka
TAN	This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmented	Class	weka.classifiers.bayes.net.search.global	Weka
TAN	This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmented	Class	weka.classifiers.bayes.net.search.local	Weka
ThresholdCurve	Generates points illustrating prediction tradeoffs that can be obtained by varying the threshold value between classes.	Class	weka.classifiers.evaluation	Weka
ThresholdProducingMetric	Some evaluation measures may optimize thresholds on the class probabilities.	Interface	weka.classifiers.evaluation	Weka
TreeModel	Class implementing import of PMML TreeModel.	Class	weka.classifiers.pmml.consumer	Weka
TwoClassStats	Encapsulates performance functions for two-class problems.	Class	weka.classifiers.evaluation	Weka
UnivariateNominalMultiwaySplit	A multiway split based on a single nominal attributeVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.	Class	weka.classifiers.trees.ht	Weka
UnivariateNumericBinarySplit	A binary split based on a single numeric attributeVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.	Class	weka.classifiers.trees.ht	Weka
UpdateableBatchProcessor	Updateable classifiers can implement this if they wish to be informed at the end of the training stream.	Interface	weka.classifiers	Weka
UpdateableClassifier	Interface to incremental classification models that can learn using one instance at a time.	Interface	weka.classifiers	Weka
Values	Stores some statistics.	Class	weka.classifiers.trees.m5	Weka
VaryNode	Part of ADTree implementation.	Class	weka.classifiers.bayes.net	Weka
Vote	Class for combining classifiers.	Class	weka.classifiers.meta	Weka
VotedPerceptron	Implementation of the voted perceptron algorithm by Freund and Schapire.	Class	weka.classifiers.functions	Weka
WeightedInstancesHandlerWrapper	Generic wrapper around any classifier to enable weighted instances support.	Class	weka.classifiers.meta	Weka
WeightMass	Simple container for a weightVersion:$Revision: 9707 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form	Class	weka.classifiers.trees.ht	Weka
XMLClassifier	This class serializes and deserializes a Classifier instance to andVersion:$Revision: 8034 $Author:FracPete (fracpete at waikato dot ac dot nz)	Class	weka.classifiers.xml	Weka
YongSplitInfo	Stores split information.	Class	weka.classifiers.trees.m5	Weka
ZeroR	Class for building and using a 0-R classifier.	Class	weka.classifiers.rules	Weka

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