Package weka.core

Interface Summary

Interface	Description
AdditionalMeasureProducer	Interface to something that can produce measures other than those calculated by evaluation modules.
CapabilitiesHandler	Classes implementing this interface return their capabilities in regards to datasets.
Copyable	Interface implemented by classes that can produce "shallow" copies of their objects.
DistanceFunction	Interface for any class that can compute and return distances between two instances.
Drawable	Interface to something that can be drawn as a graph.
EnvironmentHandler	Interface for something that can utilize environment variables.
JythonObject	An indicator interface for Jython objects.
JythonSerializableObject	An indicator interface for serializable Jython objects.
Matchable	Interface to something that can be matched with tree matching algorithms.
MultiInstanceCapabilitiesHandler	Multi-Instance classifiers can specify an additional Capabilities object for the data in the relational attribute, since the format of multi-instance data is fixed to "bag/NOMINAL,data/RELATIONAL,class".
OptionHandler	Interface to something that understands options.
Randomizable	Interface to something that has random behaviour that is able to be seeded with an integer.
RevisionHandler	For classes that should return their source control revision.
Summarizable	Interface to something that provides a short textual summary (as opposed to toString() which is usually a fairly complete description) of itself.
TechnicalInformationHandler	For classes that are based on some kind of publications.
Undoable	Interface implemented by classes that support undo.
WeightedInstancesHandler	Interface to something that makes use of the information provided by instance weights.

Class Summary

Class	Description
AbstractStringDistanceFunction	Represents the abstract ancestor for string-based distance functions, like EditDistance.
AlgVector	Class for performing operations on an algebraic vector of floating-point values.
AllJavadoc	Applies all known Javadoc-derived classes to a source file.
Attribute	Class for handling an attribute.
AttributeExpression	A general purpose class for parsing mathematical expressions involving attribute values.
AttributeLocator	This class locates and records the indices of a certain type of attributes, recursively in case of Relational attributes.
AttributeStats	A Utility class that contains summary information on an the values that appear in a dataset for a particular attribute.
BinarySparseInstance	Class for storing a binary-data-only instance as a sparse vector.
Capabilities	A class that describes the capabilites (e.g., handling certain types of attributes, missing values, types of classes, etc.) of a specific classifier.
ChebyshevDistance	Implements the Chebyshev distance.
Check	Abstract general class for testing in Weka.
CheckGOE	Simple command line checking of classes that are editable in the GOE. Usage: CheckGOE -W classname -- test options Valid options are:
CheckOptionHandler	Simple command line checking of classes that implement OptionHandler. Usage: CheckOptionHandler -W optionHandlerClassName -- test options Valid options are:
CheckScheme	Abstract general class for testing schemes in Weka.
CheckScheme.PostProcessor	a class for postprocessing the test-data
ClassDiscovery	This class is used for discovering classes that implement a certain interface or a derived from a certain class.
ClassDiscovery.StringCompare	compares two strings.
ClassloaderUtil	Utility class that can add jar files to the classpath dynamically.
ContingencyTables	Class implementing some statistical routines for contingency tables.
Copyright	A class for providing centralized Copyright information.
Debug	A helper class for debug output, logging, clocking, etc.
Debug.Clock	A little helper class for clocking and outputting times.
Debug.DBO	contains debug methods
Debug.Log	A helper class for logging stuff.
Debug.Random	This extended Random class enables one to print the generated random numbers etc., before they are returned.
Debug.SimpleLog	A little, simple helper class for logging stuff.
Debug.Timestamp	A class that can be used for timestamps in files, The toString() method simply returns the associated Date object in a timestamp format.
EditDistance	Computes the Levenshtein edit distance between two strings.
Environment	This class encapsulates a map of all environment and java system properties.
EuclideanDistance	Implementing Euclidean distance (or similarity) function. One object defines not one distance but the data model in which the distances between objects of that data model can be computed. Attention: For efficiency reasons the use of consistency checks (like are the data models of the two instances exactly the same), is low. For more information, see: Wikipedia.
FastVector	Implements a fast vector class without synchronized methods.
FindWithCapabilities	Locates all classes with certain capabilities.
GlobalInfoJavadoc	Generates Javadoc comments from the class's globalInfo method.
Instance	Class for handling an instance.
InstanceComparator	A comparator for the Instance class.
Instances	Class for handling an ordered set of weighted instances.
Javadoc	Abstract superclass for classes that generate Javadoc comments and replace the content between certain comment tags.
Jython	A helper class for Jython.
ListOptions	Lists the options of an OptionHandler
ManhattanDistance	Implements the Manhattan distance (or Taxicab geometry).
MathematicalExpression	Class for evaluating a string adhering the following grammar:
Matrix	Deprecated Use weka.core.matrix.Matrix instead - only for backwards compatibility.
Memory	A little helper class for Memory management.
NormalizableDistance	Represents the abstract ancestor for normalizable distance functions, like Euclidean or Manhattan distance.
Optimization	Implementation of Active-sets method with BFGS update to solve optimization problem with only bounds constraints in multi-dimensions.
Option	Class to store information about an option.
OptionHandlerJavadoc	Generates Javadoc comments from the OptionHandler's options.
PropertyPath	A helper class for accessing properties in nested objects, e.g., accessing the "getRidge" method of a LinearRegression classifier part of MultipleClassifierCombiner, e.g., Vote.
PropertyPath.Path	Contains a (property) path structure
PropertyPath.PathElement	Represents a single element of a property path
ProtectedProperties	Simple class that extends the Properties class so that the properties are unable to be modified.
Queue	Class representing a FIFO queue.
RandomVariates	Class implementing some simple random variates generator.
Range	Class representing a range of cardinal numbers.
RelationalLocator	This class locates and records the indices of relational attributes,
RevisionUtils	Contains utility functions for handling revisions.
SelectedTag	Represents a selected value from a finite set of values, where each value is a Tag (i.e.
SerializationHelper	A helper class for determining serialVersionUIDs and checking whether classes contain one and/or need one.
SerializedObject	Class for storing an object in serialized form in memory.
SingleIndex	Class representing a single cardinal number.
SparseInstance	Class for storing an instance as a sparse vector.
SpecialFunctions	Class implementing some mathematical functions.
Statistics	Class implementing some distributions, tests, etc.
Stopwords	Class that can test whether a given string is a stop word.
StringLocator	This class locates and records the indices of String attributes, recursively in case of Relational attributes.
SystemInfo	This class prints some information about the system setup, like Java version, JVM settings etc.
Tag	A Tag simply associates a numeric ID with a String description.
TechnicalInformation	Used for paper references in the Javadoc and for BibTex generation.
TechnicalInformationHandlerJavadoc	Generates Javadoc comments from the TechnicalInformationHandler's data.
Tee	This class pipelines print/println's to several PrintStreams.
TestInstances	Generates artificial datasets for testing.
Trie	A class representing a Trie data structure for strings.
Trie.TrieIterator	Represents an iterator over a trie
Trie.TrieNode	Represents a node in the trie.
Utils	Class implementing some simple utility methods.
Version	This class contains the version number of the current WEKA release and some methods for comparing another version string.

Enum Summary

Enum	Description
Capabilities.Capability	enumeration of all capabilities
RevisionUtils.Type	Enumeration of source control types.
TechnicalInformation.Field	the possible fields
TechnicalInformation.Type	the different types of information

Exception Summary

Exception	Description
NoSupportForMissingValuesException	Exception that is raised by an object that is unable to process data with missing values.
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.
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.
WekaException	Class for Weka-specific exceptions.