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