All Packages  Class Hierarchy

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

P

padLeft(String, int). Static method in class weka.core.Utils
Pads a string to a specified length, inserting spaces on the left as required.
padRight(String, int). Static method in class weka.core.Utils
Pads a string to a specified length, inserting spaces on the right as required.
paintComponent(Graphics). Method in class weka.gui.PropertyPanel
Paints the component, using the property editor's paint method.
paintComponent(Graphics). Method in class weka.gui.treevisualizer.TreeVisualizer
Updates the screen contents.
paintComponent(Graphics). Method in class weka.gui.visualize.Plot2D
Renders this component
paintComponent(Graphics). Method in class weka.gui.visualize.ClassPanel
Renders this component
paintValue(Graphics, Rectangle). Method in class weka.gui.GenericArrayEditor
Paints a representation of the current classifier.
paintValue(Graphics, Rectangle). Method in class weka.gui.GenericObjectEditor
Paints a representation of the current Object.
paintValue(Graphics, Rectangle). Method in class weka.gui.FileEditor
Paints a representation of the current Object.
paintValue(Graphics, Rectangle). Method in class weka.gui.CostMatrixEditor
Paints a representation of the current classifier.
PairedStats class weka.experiment.PairedStats.
A class for storing stats on a paired comparison (t-test and correlation)
PairedStats(double). Constructor for class weka.experiment.PairedStats
Creates a new PairedStats object with the supplied significance level.
PairedTTester class weka.experiment.PairedTTester.
Calculates T-Test statistics on data stored in a set of instances.

Valid options from the command-line are:

-D num,num2...

PairedTTester(). Constructor for class weka.experiment.PairedTTester
parentClass. Variable in class weka.experiment.PropertyNode
The class of the object with this property
PART class weka.classifiers.j48.PART.
Class for generating a PART decision list.
PART(). Constructor for class weka.classifiers.j48.PART
partitionOptions(String[]). Static method in class weka.core.Utils
Returns the secondary set of options (if any) contained in the supplied options array.
pctCorrect(). Method in class weka.classifiers.Evaluation
Gets the percentage of instances correctly classified (that is, for which a correct prediction was made).
pctIncorrect(). Method in class weka.classifiers.Evaluation
Gets the percentage of instances incorrectly classified (that is, for which an incorrect prediction was made).
pctUnclassified(). Method in class weka.classifiers.Evaluation
Gets the percentage of instances not classified (that is, for which no prediction was made by the classifier).
peek(). Method in class weka.core.Queue
Gets object from the front of the queue.
perBag(int). Method in class weka.classifiers.j48.Distribution
Returns number of (possibly fractional) instances in given bag.
perClass(int). Method in class weka.classifiers.j48.Distribution
Returns number of (possibly fractional) instances of given class.
perClassPerBag(int, int). Method in class weka.classifiers.j48.Distribution
Returns number of (possibly fractional) instances of given class in given bag.
place(Node). Method in interface weka.gui.treevisualizer.NodePlace
The function to call to postion the tree that starts at Node r
place(Node). Method in class weka.gui.treevisualizer.PlaceNode1
Call this function to have each node in the tree starting at 'r' placed in a visual (not logical, they already are) tree position.
place(Node). Method in class weka.gui.treevisualizer.PlaceNode2
The Funtion to call to have the nodes arranged.
PlaceNode1 class weka.gui.treevisualizer.PlaceNode1.
This class will place the Nodes of a tree.
PlaceNode1(). Constructor for class weka.gui.treevisualizer.PlaceNode1
PlaceNode2 class weka.gui.treevisualizer.PlaceNode2.
This class will place the Nodes of a tree.
PlaceNode2(). Constructor for class weka.gui.treevisualizer.PlaceNode2
Plot2D class weka.gui.visualize.Plot2D.
This class plots datasets in two dimensions.
Plot2D(). Constructor for class weka.gui.visualize.Plot2D
Constructor
Plot2DCompanion interface weka.gui.visualize.Plot2DCompanion.
Interface for classes that need to draw to the Plot2D panel *before* Plot2D renders anything (eg.
PlotData2D class weka.gui.visualize.PlotData2D.
This class is a container for plottable data.
PlotData2D(Instances). Constructor for class weka.gui.visualize.PlotData2D
Construct a new PlotData2D using the supplied instances
PLUS_SHAPE. Static variable in class weka.gui.visualize.Plot2D
pmiss. Variable in class weka.classifiers.kstar.KStarCache.TableEntry
transformation probability to missing value
PoissonEstimator class weka.estimators.PoissonEstimator.
Simple probability estimator that places a single Poisson distribution over the observed values.
PoissonEstimator(). Constructor for class weka.estimators.PoissonEstimator
POLYGON. Static variable in class weka.gui.visualize.VisualizePanelEvent
pop(). Method in class weka.core.Queue
Pops an object from the front of the queue.
populationSizeTipText(). Method in class weka.attributeSelection.GeneticSearch
Returns the tip text for this property
postProcess(). Method in interface weka.experiment.ResultProducer
Perform any postprocessing.
postProcess(). Method in class weka.experiment.LearningRateResultProducer
When this method is called, it indicates that no more requests to generate results for the current experiment will be sent.
postProcess(). Method in class weka.experiment.CrossValidationResultProducer
Perform any postprocessing.
postProcess(). Method in class weka.experiment.RandomSplitResultProducer
Perform any postprocessing.
postProcess(). Method in class weka.experiment.Experiment
Signals that the experiment is finished running, so that cleanup can be done.
postProcess(). Method in class weka.experiment.AveragingResultProducer
When this method is called, it indicates that no more requests to generate results for the current experiment will be sent.
postProcess(). Method in class weka.experiment.RemoteExperiment
overides the one in Experiment
postProcess(). Method in class weka.experiment.DatabaseResultProducer
When this method is called, it indicates that no more requests to generate results for the current experiment will be sent.
postProcess(int[]). Method in class weka.attributeSelection.ASEvaluation
Provides a chance for a attribute evaluator to do any special post processing of the selected attribute set.
postProcess(int[]). Method in class weka.attributeSelection.CfsSubsetEval
Calls locallyPredictive in order to include locally predictive attributes (if requested).
postProcess(ResultProducer). Method in class weka.experiment.LearningRateResultProducer
When this method is called, it indicates that no more results will be sent that need to be grouped together in any way.
postProcess(ResultProducer). Method in class weka.experiment.DatabaseResultListener
Perform any postprocessing.
postProcess(ResultProducer). Method in class weka.experiment.CSVResultListener
Perform any postprocessing.
postProcess(ResultProducer). Method in class weka.experiment.InstancesResultListener
Perform any postprocessing.
postProcess(ResultProducer). Method in interface weka.experiment.ResultListener
Perform any postprocessing.
postProcess(ResultProducer). Method in class weka.experiment.AveragingResultProducer
When this method is called, it indicates that no more results will be sent that need to be grouped together in any way.
postProcess(ResultProducer). Method in class weka.experiment.DatabaseResultProducer
When this method is called, it indicates that no more results will be sent that need to be grouped together in any way.
PRECISION_NAME. Static variable in class weka.classifiers.evaluation.ThresholdCurve
precision(int). Method in class weka.classifiers.Evaluation
Calculate the precision with respect to a particular class.
predict(Instance). Method in class weka.classifiers.m5.Function
Returns the predicted value of instance i by a function
predict(Instance, boolean). Method in class weka.classifiers.m5.Node
Predicts the class value of an instance by the tree
predicted(). Method in class weka.classifiers.evaluation.NumericPrediction
Gets the predicted class value.
predicted(). Method in class weka.classifiers.evaluation.NominalPrediction
Gets the predicted class value.
predicted(). Method in interface weka.classifiers.evaluation.Prediction
Gets the predicted class value.
Prediction interface weka.classifiers.evaluation.Prediction.
Encapsulates a single evaluatable prediction: the predicted value plus the actual class value.
PredictionNode class weka.classifiers.adtree.PredictionNode.
Class representing a prediction node in an alternating tree.
PredictionNode(double). Constructor for class weka.classifiers.adtree.PredictionNode
Creates a new prediction node.
predictionsToString(Instances, int, boolean). Method in class weka.classifiers.m5.Node
Converts the predictions by the tree under this node to a string
prefix(). Method in class weka.classifiers.j48.J48
Returns tree in prefix order.
prefix(). Method in class weka.classifiers.j48.ClassifierTree
Returns tree in prefix order.
prefix(). Method in interface weka.core.Matchable
Returns a string that describes a tree representing the object in prefix order.
prePlot(Graphics). Method in interface weka.gui.visualize.Plot2DCompanion
Something to be drawn before the plot itself
preProcess(). Method in interface weka.experiment.ResultProducer
Prepare to generate results.
preProcess(). Method in class weka.experiment.LearningRateResultProducer
Prepare to generate results.
preProcess(). Method in class weka.experiment.CrossValidationResultProducer
Prepare to generate results.
preProcess(). Method in class weka.experiment.RandomSplitResultProducer
Prepare to generate results.
preProcess(). Method in class weka.experiment.AveragingResultProducer
Prepare to generate results.
preProcess(). Method in class weka.experiment.DatabaseResultProducer
Prepare to generate results.
preProcess(ResultProducer). Method in class weka.experiment.LearningRateResultProducer
Prepare for the results to be received.
preProcess(ResultProducer). Method in class weka.experiment.DatabaseResultListener
Prepare for the results to be received.
preProcess(ResultProducer). Method in class weka.experiment.CSVResultListener
Prepare for the results to be received.
preProcess(ResultProducer). Method in class weka.experiment.InstancesResultListener
Prepare for the results to be received.
preProcess(ResultProducer). Method in interface weka.experiment.ResultListener
Prepare for the results to be received.
preProcess(ResultProducer). Method in class weka.experiment.AveragingResultProducer
Prepare for the results to be received.
preProcess(ResultProducer). Method in class weka.experiment.DatabaseResultProducer
Prepare for the results to be received.
PreprocessPanel class weka.gui.explorer.PreprocessPanel.
This panel controls simple preprocessing of instances.
PreprocessPanel(). Constructor for class weka.gui.explorer.PreprocessPanel
Creates the instances panel with no initial instances.
PrincipalComponents class weka.attributeSelection.PrincipalComponents.
Class for performing principal components analysis/transformation.
PrincipalComponents(). Constructor for class weka.attributeSelection.PrincipalComponents
print_hash_code(). Method in class weka.attributeSelection.ConsistencySubsetEval.hashKey
Prints the hash code
print_hash_code(). Method in class weka.classifiers.DecisionTable.hashKey
Prints the hash code
print(double[], int, int). Static method in class weka.classifiers.m5.Dvector
Prints the indexed elements in a double vector
printFeatures(). Method in class weka.classifiers.DecisionTable
Returns a string description of the features selected
printOptions(String[]). Static method in class weka.core.CheckOptionHandler
Prints the given options to a string.
printValidOptions(). Method in class weka.classifiers.m5.Options
Prints valid command line options and simply explains the output
priorEntropy(). Method in class weka.classifiers.Evaluation
Calculate the entropy of the prior distribution
Prism class weka.classifiers.Prism.
Class for building and using a PRISM classifier.
Prism(). Constructor for class weka.classifiers.Prism
PROB_COST_FUNC_NAME. Static variable in class weka.classifiers.evaluation.CostCurve
prob(int). Method in class weka.classifiers.j48.Distribution
Returns relative frequency of class over all bags.
prob(int, int). Method in class weka.classifiers.j48.Distribution
Returns relative frequency of class for given bag.
PROCESSING. Static variable in class weka.experiment.TaskStatusInfo
property. Variable in class weka.experiment.PropertyNode
Other info about the property
propertyChange(PropertyChangeEvent). Method in class weka.gui.PropertySheetPanel
Updates the property sheet panel with a changed property and also passed the event along.
PropertyDialog class weka.gui.PropertyDialog.
Support for PropertyEditors with custom editors: puts the editor into a separate frame.
PropertyDialog(PropertyEditor, int, int). Constructor for class weka.gui.PropertyDialog
Creates the editor frame.
PropertyNode class weka.experiment.PropertyNode.
Stores information on a property of an object: the class of the object with the property; the property descriptor, and the current value.
PropertyNode(Object). Constructor for class weka.experiment.PropertyNode
Creates a mostly empty property.
PropertyNode(Object, PropertyDescriptor, Class). Constructor for class weka.experiment.PropertyNode
Creates a fully specified property node.
PropertyPanel class weka.gui.PropertyPanel.
Support for drawing a property value in a component.
PropertyPanel(PropertyEditor). Constructor for class weka.gui.PropertyPanel
Create the panel with the supplied property editor.
PropertySelectorDialog class weka.gui.PropertySelectorDialog.
Allows the user to select any (supported) property of an object, including properties that any of it's property values may have.
PropertySelectorDialog(Frame, Object). Constructor for class weka.gui.PropertySelectorDialog
Create the property selection dialog.
PropertySheetPanel class weka.gui.PropertySheetPanel.
Displays a property sheet where (supported) properties of the target object may be edited.
PropertySheetPanel(). Constructor for class weka.gui.PropertySheetPanel
Creates the property sheet panel.
prune(). Method in class weka.classifiers.j48.PruneableClassifierTree
Prunes a tree.
prune(). Method in class weka.classifiers.j48.C45PruneableClassifierTree
Prunes a tree using C4.5's pruning procedure.
prune(). Method in class weka.classifiers.m5.Node
Prunes the model tree
PruneableClassifierTree class weka.classifiers.j48.PruneableClassifierTree.
Class for handling a tree structure that can be pruned using a pruning set.
PruneableClassifierTree(ModelSelection, boolean, int, boolean). Constructor for class weka.classifiers.j48.PruneableClassifierTree
Constructor for pruneable tree structure.
PruneableDecList class weka.classifiers.j48.PruneableDecList.
Class for handling a partial tree structure that can be pruned using a pruning set.
PruneableDecList(ModelSelection, int). Constructor for class weka.classifiers.j48.PruneableDecList
Constructor for pruneable partial tree structure.
pruneItemSets(FastVector, Hashtable). Static method in class weka.associations.ItemSet
Prunes a set of (k)-item sets using the given (k-1)-item sets.
pruneRules(FastVector[], double). Static method in class weka.associations.ItemSet
Prunes a set of rules.
PURE_INPUT. Static variable in class weka.classifiers.neural.NeuralConnection
This unit is a pure input unit.
PURE_OUTPUT. Static variable in class weka.classifiers.neural.NeuralConnection
This unit is a pure output unit.
push(Object). Method in class weka.core.Queue
Appends an object to the back of the queue.
putResultInTable(String, ResultProducer, Object[], Object[]). Method in class weka.experiment.DatabaseUtils
Executes a database query to insert a result for the supplied key into the database.

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
All Packages  Class Hierarchy