All Packages Class Hierarchy
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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