All Classes

Class	Description
Abstraction_Generic	Abstract Class to enable any kind of abstraction.
Abstraction_Qualitative	Class that implements a qualitative abstraction.
AbstractionCreator	Abstract class that is thought to make it possible the creation of any kind of abstractions.
AbstractionCreator_Qualitative	Class that implements a qualitative abstraction.
AbstractLoader	Abstract class gives default implementation of setSource methods.
ActivitiesGrouper
ActivityDuration
ActivityLevelAugmentation
ActivityName
ActivityPanel
AdditionalMeasureProducer	Interface to something that can produce measures other than those calculated by evaluation modules.
AlgoClaSP	This is an implementation of the ClaSP algorithm.
AlgoCM_ClaSP	This is an implementation of the ClaSP algorithm.
AlignmentFrame
AlignmentMove
Attribute	Class for handling an attribute.
AttributeSettingPanel
AttributeStats	A Utility class that contains summary information on an the values that appear in a dataset for a particular attribute.
AttributeValue
Augmentation
BatchConverter	Marker interface for a loader/saver that can retrieve instances in batch mode
BinC45ModelSelection	Class for selecting a C4.5-like binary (!) split for a given dataset.
BinC45Split	Class implementing a binary C4.5-like split on an attribute.
C45ModelSelection	Class for selecting a C4.5-type split for a given dataset.
C45PruneableClassifierTree	Class for handling a tree structure that can be pruned using C4.5 procedures.
C45Split	Class implementing a C4.5-type split on an attribute.
Choice
Classifier	Abstract classifier.
ClassifierSplitModel	Abstract class for classification models that can be used recursively to split the data.
ClassifierTree	Class for handling a tree structure used for classification.
Colors	This class maintains a list that contains all the colornames from the dotty standard and what color (in RGB) they represent
ConfigurationPanel
ConverterUtils	Utility routines for the converter package.
Copyable	Interface implemented by classes that can produce "shallow" copies of their objects.
CostMatrix	Class for storing and manipulating a misclassification cost matrix.
CSVLoader	Reads a text file that is comma or tab delimited..
DecisionTreePanel
DiscretizationInterval
DiscretizationPanel
Discrimination
DiscrMethod
Distribution	Class for handling a distribution of class values.
Drawable	Interface to something that can be drawn as a graph.
DurationOfActivity
Edge	This class is used in conjunction with the Node class to form a tree structure.
ElapsedTime
EntropyBasedSplitCrit	"Abstract" class for computing splitting criteria based on the entropy of a class distribution.
Estimator	Interface for probability estimators.
Evaluation	Class for evaluating machine learning models.
EvaluationNDC
EventLevelAugmentation
EventNumber
Executor
ExtractLog
FastVector	Implements a fast vector class without synchronized methods.
FileSourcedConverter	Interface to a loader/saver that loads/saves from a file source.
Filter	An abstract class for instance filters: objects that take instances as input, carry out some transformation on the instance and then output the instance.
Fitness
FrequentPatternEnumeration_ClaSP	This is an implementation of the main method of ClaSP algorithm.
GainRatioSplitCrit	Class for computing the gain ratio for a given distribution.
GraphMLParser
Group
IDList	Interface for a IdList class.
IdListCreator	Interface for a IdList Creator.
IdListCreatorStandard_Map	Creator of a IdList based on a hashmap of arraylists.
IDListStandard_Map	Inspired in SPMF.
InfoGainSplitCrit	Class for computing the information gain for a given distribution.
Instance	Class for handling an instance.
Instances	Class for handling an ordered set of weighted instances.
Item<T extends java.lang.Comparable>	Implementation of an item.
ItemAbstractionPair	Class that represents a pair .
ItemAbstractionPairCreator	Class that implements a creator for pairs that are used in a pattern implementation.
ItemFactory<T extends java.lang.Comparable>	Implementation of a pool of items.
Itemset	This class represents an itemset from a sequence.
J48	Class for generating an unpruned or a pruned C4.5 decision tree.
J48Prediction
J48WithNDCs	Class for generating an unpruned or a pruned C4.5 decision tree.
KernelEstimator	Simple kernel density estimator.
Leafable
Loader	Interface to something that can load Instances from an input source in some format.
LogClusterListener
LogClusterPanel
LogInfo
MainTestCMClaSP_saveToFile	Example of how to use the algorithm ClaSP, saving the results in a given file
MainTestCMClaSP_saveToMemory	Example of how to use the algorithm ClaSP, saving the results in the main memory
Massaging	Class for building and using a Classyfing without Discriminating classifier.
Matchable	Interface to something that can be matched with tree matching algorithms.
Matrix	Deprecated. Use instead weka.core.matrix.Matrix - only for backwards compatibility.
MemoryLogger	This class is used to record the maximum memory usaged of an algorithm during a given execution.
ModelSelection	Abstract class for model selection criteria.
MyProMList
MyTreeVisualizer
NaiveBayesSimple	Class for building and using a simple Naive Bayes classifier.
NamedColor	This class contains a color name and the rgb values of that color
NewDottyToTree
NewEdgeRenderer
NewFocusControl	Prefuse focus control - on double click, adds / removes node and children to focus set.
NewPrefuseTreeVis
NewTraceForMultipleChoices
NextActivity
Node	This class records all the data about a particular node for displaying.
NodePlace	This is an interface for classes that wish to take a node structure and arrange them
NoSplit	Class implementing a "no-split"-split.
NumberExecution
Option	Class to store information about an option.
OptionHandler	Interface to something that understands options.
ORplaces
ORplaces
OtherEventAttributes
Pattern	Implementation of pattern structure.
PatternCreator	This class is the implementation of a creator of patterns.
PlaceNode1	This class will place the Nodes of a tree.
PlaceNode2	This class will place the Nodes of a tree.
Position	This class represents a position of an item in a sequence.
PreAttributeValue
PredictionPlugin
PredictionType
Predictor
PredictorVisualizer
PrefrentialSamplingFilter
PrefuseTreeVisualization	Displays a tree in GraphViz's dotty format as Prefuse tree.
PrefuseTreeVisualization.DottyToTree	Turns the GraphViz dotty format into Prefuse's tree XML format (according to the tree.dtd).
PrefuseTreeVisualization.TreePanel	Displays a tree.
PrefuseTreeVisualization.TreePanel.NodeColorAction
PreviousActivity
ProtectedProperties	Simple class that extends the Properties class so that the properties are unable to be modified.
PruneableClassifierTree	Class for handling a tree structure that can be pruned using a pruning set.
Queue	Class representing a FIFO queue.
Range	Class representing a range of cardinal numbers.
RelativeLayout	The RelativeLayout class is a layout manager that lays out a container's components on the specified X or Y axis.
RemainingTime
RemoveSAFilter	An instance filter that deletes a range of attributes from the dataset.
RepTreePrediction
Resource
ResourceWorkload
Role
Saver	This is the definition of a interface in order to decide where the user wants to keep the patterns.
SaverIntoFile	This is an implementation of a class implementing the Saver interface.
SaverIntoMemory	This is an implementation of a class implementing the Saver interface.
SelectedTag	Represents a selected value from a finite set of values, where each value is a Tag (i.e.
SelectionUtil
Sequence	Inspired in SPMF Implementation of a sequence.
SequenceDatabase	Inspired in SPMF.
Sequences	Inspired in SPMF This class implements a list of frequent sequence lists (or frequent pattern lists) that it is organized by levels.
SerializedObject	Class for storing an object in serialized form in memory.
ShowTrie	This class is used to display a trie visually using Swing if necessary.
Solver
Sourcable	Interface for classifiers that can be converted to Java source.
SparseInstance	Class for storing an instance as a sparse vector.
SplitCriterion	Abstract class for computing splitting criteria with respect to distributions of class values.
Statistics	Class implementing some distributions, tests, etc.
Stats	Class implementing a statistical routine needed by J48 to compute its error estimate.
StreamableFilter	Interface for filters can work with a stream of instances.
Sub_Model_Attribute
sub_model_duration
SumAttributeValue
Summarizable	Interface to something that provides a short textual summary (as opposed to toString() which is usually a fairly complete description) of itself.
Summary
Tag	A Tag simply associates a numeric ID with a String description.
TaskForProgressBar
Timestamp
TotalResourceWorkload
traceAttributeValue
TreeBuild	This class will parse a dotty file and construct a tree structure from it with Edge's and Node's
TreeConstructor
TreeDisplayEvent	An event containing the user selection from the tree display
TreeDisplayListener	Interface implemented by classes that wish to recieve user selection events from a tree displayer.
TreePanel
TreePanel.NodeColorAction
TreePanel.TextColorAction
Trie	Class that implement a trie structure.
TrieNode	Class that implement a bucked for the nodes that are pointed by a Trie.
UnassignedClassException	Exception that is raised when trying to use some data that has no class assigned to it, but a class is needed to perform the operation.
UnassignedDatasetException	Exception that is raised when trying to use something that has no reference to a dataset, when one is required.
UnsupervisedFilter	Interface for filters that do not need a class attribute.
UnsupportedAttributeTypeException	Exception that is raised by an object that is unable to process some of the attribute types it has been passed.
UnsupportedClassTypeException	Exception that is raised by an object that is unable to process the class type of the data it has been passed.
UpdateableClassifier	Interface to incremental classification models that can learn using one instance at a time.
Utils	Class implementing some simple utility methods.
VariablePanel
VisConfigurables
WeightedInstancesHandler	Interface to something that makes use of the information provided by instance weights.
WekaException	Class for Weka-specific exceptions.
Whole_Trace_Attribute