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UnassignedClassException exception weka.core.UnassignedClassException.
UnassignedClassException is used when a method requires access to the Attribute designated as the class attribute in a set of Instances, but the Instances does not have any class attribute assigned (such as by setClassIndex()).
UnassignedClassException(). Constructor for class weka.core.UnassignedClassException
Creates a new UnassignedClassException instance with no detail message.
UnassignedClassException(String). Constructor for class weka.core.UnassignedClassException
Creates a new UnassignedClassException instance with a specified message.
UnassignedDatasetException exception weka.core.UnassignedDatasetException.
UnassignedDatasetException is used when a method of an Instance is called that requires access to the Instance structure, but that the Instance does not contain a reference to any Instances (as set by Instance.setDataset(), or when an Instance is added to a set of Instances)).
UnassignedDatasetException(). Constructor for class weka.core.UnassignedDatasetException
Creates a new UnassignedDatasetException instance with no detail message.
UnassignedDatasetException(String). Constructor for class weka.core.UnassignedDatasetException
Creates a new UnassignedDatasetException instance with a specified message.
unclassified(). Method in class weka.classifiers.Evaluation
Gets the number of instances not classified (that is, for which no prediction was made by the classifier).
UNCONNECTED. Static variable in class weka.classifiers.neural.NeuralConnection
This unit is not connected to any others.
uniqueCount. Variable in class weka.core.AttributeStats
The number of values that only appear once
UnsupervisedAttributeEvaluator class weka.attributeSelection.UnsupervisedAttributeEvaluator.
Abstract unsupervised attribute evaluator.
UnsupervisedAttributeEvaluator(). Constructor for class weka.attributeSelection.UnsupervisedAttributeEvaluator
UnsupervisedSubsetEvaluator class weka.attributeSelection.UnsupervisedSubsetEvaluator.
Abstract unsupervised attribute subset evaluator.
UnsupervisedSubsetEvaluator(). Constructor for class weka.attributeSelection.UnsupervisedSubsetEvaluator
UnsupportedAttributeTypeException exception weka.core.UnsupportedAttributeTypeException.
UnsupportedAttributeTypeException is used in situations where the throwing object is not able to accept Instances with the supplied structure, because one or more of the Attributes in the Instances are of the wrong type.
UnsupportedAttributeTypeException(). Constructor for class weka.core.UnsupportedAttributeTypeException
Creates a new UnsupportedAttributeTypeException instance with no detail message.
UnsupportedAttributeTypeException(String). Constructor for class weka.core.UnsupportedAttributeTypeException
Creates a new UnsupportedAttributeTypeException instance with a specified message.
UnsupportedClassTypeException exception weka.core.UnsupportedClassTypeException.
UnsupportedClassTypeException is used in situations where the throwing object is not able to accept Instances with the supplied structure, because the class Attribute is of the wrong type.
UnsupportedClassTypeException(). Constructor for class weka.core.UnsupportedClassTypeException
Creates a new UnsupportedClassTypeException instance with no detail message.
UnsupportedClassTypeException(String). Constructor for class weka.core.UnsupportedClassTypeException
Creates a new UnsupportedClassTypeException instance with a specified message.
UpdateableClassifier interface weka.classifiers.UpdateableClassifier.
Interface to incremental classification models that can learn using one instance at a time.
updateChildPropertySheet(). Method in class weka.gui.GenericObjectEditor.GOEPanel
Updates the child property sheet, and creates if needed
updateClassifier(Instance). Method in interface weka.classifiers.UpdateableClassifier
Updates a classifier using the given instance.
updateClassifier(Instance). Method in class weka.classifiers.IBk
Adds the supplied instance to the training set
updateClassifier(Instance). Method in class weka.classifiers.IB1
Updates the classifier.
updateClassifier(Instance). Method in class weka.classifiers.HyperPipes
Updates the classifier.
updateClassifier(Instance). Method in class weka.classifiers.NaiveBayes
Updates the classifier with the given instance.
updateClassifier(Instance). Method in class weka.classifiers.LWR
Adds the supplied instance to the training set
updateClassifier(Instance). Method in class weka.classifiers.kstar.KStar
Adds the supplied instance to the training set
upDateCounter(Instance). Method in class weka.associations.ItemSet
Updates counter of item set with respect to given transaction.
upDateCounters(FastVector, Instances). Static method in class weka.associations.ItemSet
Updates counters for a set of item sets and a set of instances.
updatePriors(Instance). Method in class weka.classifiers.Evaluation
Updates the class prior probabilities (when incrementally training)
updateResult(String). Method in class weka.gui.ResultHistoryPanel
Tells any component currently displaying the named result that the contents of the result text in the StringBuffer have been updated.
updateWeights(double, double). Method in class weka.classifiers.neural.NeuralConnection
Call this function to update the weight values at this unit.
updateWeights(double, double). Method in class weka.classifiers.neural.NeuralNode
Call this function to update the weight values at this unit.
updateWeights(NeuralNode, double, double). Method in class weka.classifiers.neural.LinearUnit
This function will calculate what the change in weights should be and also update them.
updateWeights(NeuralNode, double, double). Method in class weka.classifiers.neural.SigmoidUnit
This function will calculate what the change in weights should be and also update them.
updateWeights(NeuralNode, double, double). Method in interface weka.classifiers.neural.NeuralMethod
This function will calculate what the change in weights should be and also update them.
upperBoundMinSupportTipText(). Method in class weka.associations.Apriori
Returns the tip text for this property
upperSizeTipText(). Method in class weka.experiment.LearningRateResultProducer
Returns the tip text for this property
useBetterEncodingTipText(). Method in class weka.filters.DiscretizeFilter
Returns the tip text for this property
useFilter(Instances, Filter). Static method in class weka.filters.Filter
Filters an entire set of instances through a filter and returns the new set.
useKononenkoTipText(). Method in class weka.filters.DiscretizeFilter
Returns the tip text for this property
useMDLTipText(). Method in class weka.filters.DiscretizeFilter
Returns the tip text for this property
UserClassifier class weka.classifiers.UserClassifier.
Class for generating an user defined decision tree.
UserClassifier(). Constructor for class weka.classifiers.UserClassifier
Constructor
userCommand(TreeDisplayEvent). Method in class weka.classifiers.UserClassifier
Receives user choices from the tree view, and then deals with these choices.
userCommand(TreeDisplayEvent). Method in interface weka.gui.treevisualizer.TreeDisplayListener
Gets called when the user selects something, in the tree display.
userDataEvent(VisualizePanelEvent). Method in class weka.classifiers.UserClassifier
This receives shapes from the data view.
userDataEvent(VisualizePanelEvent). Method in interface weka.gui.visualize.VisualizePanelListener
This method receives an object containing the shapes, instances inside and outside these shapes and the attributes these shapes were created in.
useTrainingTipText(). Method in class weka.attributeSelection.ClassifierSubsetEval
Returns the tip text for this property
Utils class weka.core.Utils.
Class implementing some simple utility methods.
Utils(). Constructor for class weka.core.Utils

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