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 _

C

C - Variable in class pt.tumba.ngram.svm.SVMParameter

The cost parameter, for C_SVC, EPSILON_SVR and NU_SVR.

CHANCE - Static variable in class pt.tumba.ngram.bayes.ProbabilityVariable

CODE_VALUE_BITS - Static variable in class pt.tumba.ngram.compression.ArithDecoder

Precision of coding, expressed in number of bits used for arithmetic before shifting out partial results.

CODE_VALUE_BITS - Static variable in class pt.tumba.ngram.compression.ArithEncoder

Precision of coding, expressed in number of bits used for arithmetic before shifting out partial results.

CONNECTED_VARIABLES - Static variable in class pt.tumba.ngram.bayes.DSeparation

CONSTANT_DENSITY_BOUNDED - Static variable in class pt.tumba.ngram.bayes.InferenceGraph

CONSTANT_DENSITY_BOUNDED - Static variable in class pt.tumba.ngram.bayes.QuasiBayesNet

CONSTANT_DENSITY_RATIO - Static variable in class pt.tumba.ngram.bayes.InferenceGraph

CONSTANT_DENSITY_RATIO - Static variable in class pt.tumba.ngram.bayes.QuasiBayesNet

CREDAL_SET - Static variable in class pt.tumba.ngram.bayes.QuasiBayesNet

CT - Variable in class pt.tumba.ngram.bayes.XMLInterchangeFormat

C_SVC - Static variable in class pt.tumba.ngram.svm.SVMParameter

SVM formulation type type C-Support Vector classification

Cache - Class in pt.tumba.ngram.svm

SVM Kernel Cache, implementing a least recently used (LRU) policy.

Cache(int, int) - Constructor for class pt.tumba.ngram.svm.Cache

Constructor for Cache

Cache.CacheNode - Class in pt.tumba.ngram.svm

Inner class representing a Cache node.

Cache.CacheNode() - Constructor for class pt.tumba.ngram.svm.Cache.CacheNode

Cn - Variable in class pt.tumba.ngram.svm.Solver

CompilationUnit() - Method in class pt.tumba.ngram.bayes.BayesInterchangeFormat

CompilationUnit() - Method in class pt.tumba.ngram.bayes.InterchangeFormat

CompilationUnit() - Method in class pt.tumba.ngram.bayes.XMLInterchangeFormat

CompressionCategorizer - Class in pt.tumba.ngram.compression

Recent results in bioinformatics and observations about the Kolmogorov complexity seem to suggest that simple classification systems can be built using off-the-shelf compression algorithms.

CompressionCategorizer() - Constructor for class pt.tumba.ngram.compression.CompressionCategorizer

Construct an uninitialized Cathegorizer.

CompressionCategorizer(String) - Constructor for class pt.tumba.ngram.compression.CompressionCategorizer

Construct an Cathegorizer from a whole Directory of resources.

CompressionCategorizer(String[]) - Constructor for class pt.tumba.ngram.compression.CompressionCategorizer

Construct an Cathegorizer from a List of resource file names.

CompressionFilter - Static variable in class pt.tumba.ngram.compression.CompressionCategorizer

A FilenameFilter for filtering directory listings, recognizing filenames for class profiles.

ConditionalMark(Vector) - Method in class pt.tumba.ngram.bayes.BayesInterchangeFormat

ConstantDensityBoundedSet - Class in pt.tumba.ngram.bayes

ConstantDensityBoundedSet(ProbabilityFunction, double) - Constructor for class pt.tumba.ngram.bayes.ConstantDensityBoundedSet

Constructor for a ConstantDensityBoundedSet given a ProbabilityFunction object and given constant.

ConstantDensityRatioSet - Class in pt.tumba.ngram.bayes

ConstantDensityRatioSet(ProbabilityFunction, double) - Constructor for class pt.tumba.ngram.bayes.ConstantDensityRatioSet

Constructor for an ConstantDensityRatioSet ProbabilityFunction object and given constant.

ConvertInterchangeFormat - Class in pt.tumba.ngram.bayes

ConvertInterchangeFormat(InterchangeFormat) - Constructor for class pt.tumba.ngram.bayes.ConvertInterchangeFormat

Default constructor that loads an InterchangeFormat.

Cp - Variable in class pt.tumba.ngram.svm.Solver

cache - Variable in class pt.tumba.ngram.svm.ONECLASSQ

cache - Variable in class pt.tumba.ngram.svm.SVCQ

cache - Variable in class pt.tumba.ngram.svm.SVRQ

cacheSize - Variable in class pt.tumba.ngram.svm.SVMParameter

The Kernel cache size, in MB

calculateRho() - Method in class pt.tumba.ngram.svm.Solver

calculateRho() - Method in class pt.tumba.ngram.svm.SolverNU

cat1 - Variable in class pt.tumba.ngram.LanguageClass

The classifyer for the general case.

cat2 - Variable in class pt.tumba.ngram.LanguageClass

The classifyer for discriminating both versions of Portuguese (Portugal and Brasil).

change_values(InferenceGraphNode, String[]) - Method in class pt.tumba.ngram.bayes.InferenceGraph

Change the values of a variable.

check_evidence(ProbabilityFunction) - Method in class pt.tumba.ngram.bayes.BucketTree

check_evidence_loop(ProbabilityFunction, ProbabilityFunction) - Method in class pt.tumba.ngram.bayes.BucketTree

check_name(String) - Method in class pt.tumba.ngram.bayes.InferenceGraph

Determine whether or not a name is valid and/or repeated.

child - Variable in class pt.tumba.ngram.bayes.Bucket

children - Variable in class pt.tumba.ngram.bayes.InferenceGraphNode

classes - Variable in class pt.tumba.ngram.blr.BayesianLogReg

classify(String) - Method in class pt.tumba.ngram.LanguageClass

Guess the language of a String of text.

classify(File) - Method in class pt.tumba.ngram.LanguageClass

Guess the language of a text File.

classify(Profile) - Method in class pt.tumba.ngram.LanguageClass

Guess the language of a given text according to its NGram profile.

classifyCompression(String, String) - Static method in class pt.tumba.ngram.TCatNG

classifyCompression(String[], String) - Static method in class pt.tumba.ngram.TCatNG

classifyCompression(File, String[], String) - Static method in class pt.tumba.ngram.TCatNG

classifyLogRegression(String, String) - Static method in class pt.tumba.ngram.TCatNG

classifyLogRegression(String[], String) - Static method in class pt.tumba.ngram.TCatNG

classifyLogRegression(File, String[], String) - Static method in class pt.tumba.ngram.TCatNG

classifyNN(String, String) - Static method in class pt.tumba.ngram.TCatNG

classifyNN(String[], String) - Static method in class pt.tumba.ngram.TCatNG

classifyNN(File, String[], String) - Static method in class pt.tumba.ngram.TCatNG

classifySVM(String, String) - Static method in class pt.tumba.ngram.TCatNG

classifySVM(String[], String) - Static method in class pt.tumba.ngram.TCatNG

classifySVM(File, String[], String) - Static method in class pt.tumba.ngram.TCatNG

clear() - Method in class pt.tumba.ngram.compression.ByteSet

Remove all of the bytes from this set.

clear() - Method in class pt.tumba.ngram.compression.TestSet

Clears the test set by removing all results.

clear_observation() - Method in class pt.tumba.ngram.bayes.InferenceGraphNode

Clear the observation for the node.

clone() - Method in class pt.tumba.ngram.svm.SVMParameter

Clone this object (replicate the parameters)

close() - Method in class pt.tumba.ngram.compression.ArithCodeInputStream

Closes this input stream.

close() - Method in class pt.tumba.ngram.compression.ArithCodeOutputStream

Close this output stream.

close() - Method in class pt.tumba.ngram.compression.ArithDecoder

Closes underlying bit output.

close() - Method in class pt.tumba.ngram.compression.ArithEncoder

Close the arithmetic encoder, writing all bits that are buffered and closing the underlying output streams.

close() - Method in class pt.tumba.ngram.compression.BitInput

Closes the underlying input stream.

close() - Method in class pt.tumba.ngram.compression.BitOutput

Closes underlying output stream after filling to a byte boundary with 0 bits.

cluster - Variable in class pt.tumba.ngram.bayes.Bucket

code(byte[], int, int) - Static method in class pt.tumba.ngram.NGram

Encode a byte sequence.

coef0 - Variable in class pt.tumba.ngram.svm.Kernel

coef0 - Variable in class pt.tumba.ngram.svm.SVMParameter

Parameter needed for kernels of type polynomial and sigmoid (default: 0)

column - Variable in class pt.tumba.ngram.bayes.ASCII_CharStream

column - Variable in class pt.tumba.ngram.bayes.ASCII_UCodeESC_CharStream

combine() - Method in class pt.tumba.ngram.bayes.Bucket

compareTo(Object) - Method in class pt.tumba.ngram.NGram

Compares the number of occurences of this N-gram with another.

compareTo(Object) - Method in class pt.tumba.ngram.compression.TestStatistics

Compare using average compression rates, breaking ties by name.

compareTo(TestStatistics) - Method in class pt.tumba.ngram.compression.TestStatistics

Compare using average compression rates, breaking ties by name.

complete(byte[], int, int) - Method in class pt.tumba.ngram.compression.PPMNode

Extends this node with the given sequence of bytes, specified by an array, offset and length.

compose_values() - Method in class pt.tumba.ngram.bayes.VertexSet

Produce the centroid of all extreme distributions and insert it into the values of the distribution.

compress(byte[]) - Method in class pt.tumba.ngram.compression.CompressionCategorizer

Compress a given byte array.

compress(String) - Method in class pt.tumba.ngram.compression.CompressionCategorizer

Compress a given String.

compress(File) - Method in class pt.tumba.ngram.compression.CompressionCategorizer

Compress a given File.

compressPPM(String) - Static method in class pt.tumba.ngram.compression.CompressionCategorizer

Compress a given String with the arithmetic coding algorithm.

compressPPM(byte[]) - Static method in class pt.tumba.ngram.compression.CompressionCategorizer

Compress a given byte array with the arithmetic coding algorithm.

compressPPM(File) - Static method in class pt.tumba.ngram.compression.CompressionCategorizer

Compress a given File with the arithmetic coding algorithm.

compressZip(String) - Static method in class pt.tumba.ngram.compression.CompressionCategorizer

Compress a given String with the Zip algorithm.

compressZip(byte[]) - Static method in class pt.tumba.ngram.compression.CompressionCategorizer

Compress a given byte array with the Zip algorithm.

compressZip(File) - Static method in class pt.tumba.ngram.compression.CompressionCategorizer

Compress a given File with the Zip algorithm.

compressionDissimilarity(byte[], byte[], byte[]) - Static method in class pt.tumba.ngram.compression.CompressionCategorizer

Returns the compression dissimilarity.

compressionDissimilarity(String, String) - Method in class pt.tumba.ngram.compression.CompressionCategorizer

Calculates the compression dissimilarity between two Strings.

compressionDissimilarity(File, File) - Method in class pt.tumba.ngram.compression.CompressionCategorizer

Calculates the compression dissimilarity between two Files.

compressionDissimilarity(byte[], byte[]) - Method in class pt.tumba.ngram.compression.CompressionCategorizer

Calculates the compression dissimilarity between two byte arrays.

compressionRateString(int, int) - Static method in class pt.tumba.ngram.compression.Test

Returns a string representation of the compression rate indicated by the specified number of original bytes and compressed bytes.

conditional_index - Variable in class pt.tumba.ngram.bayes.IFProbabilityFunction

construct_values(ProbabilityVariable, int) - Method in class pt.tumba.ngram.bayes.Expectation

contains(int) - Method in class pt.tumba.ngram.compression.ByteSet

Returns true if byte specified as an integer is a member of this set.

contains(byte) - Method in class pt.tumba.ngram.compression.ByteSet

Returns true if specified byte is a member of this set.

convergenceTest(double[]) - Method in class pt.tumba.ngram.blr.BayesianLogReg

convert_bayes_net() - Method in class pt.tumba.ngram.bayes.InferenceGraph

convert_graph() - Method in class pt.tumba.ngram.bayes.InferenceGraph

copyStream(InputStream, OutputStream) - Static method in class pt.tumba.ngram.compression.Test

Read all of the input from the given input stream and write it to the given output stream.

copy_table_to_values(double[], double[]) - Method in class pt.tumba.ngram.bayes.ConvertInterchangeFormat

count - Variable in class pt.tumba.ngram.NGram

Number of occurences of this NGram.

create_arc(InferenceGraphNode, InferenceGraphNode) - Method in class pt.tumba.ngram.bayes.InferenceGraph

Create an arc from parent to child.

create_auxiliary_variable(BayesNet) - Method in class pt.tumba.ngram.bayes.VertexSet

Create an auxiliar variable to indicate the vertices.

create_backward_pointers(DiscreteFunction) - Method in class pt.tumba.ngram.bayes.Bucket

create_new_values(BayesNet) - Method in class pt.tumba.ngram.bayes.VertexSet

Create a new array of values that combines extreme points.

create_node(int, int) - Method in class pt.tumba.ngram.bayes.InferenceGraph

Create a new node in the network.

create_variables(BayesNet, IFProbabilityFunction) - Method in class pt.tumba.ngram.bayes.ConvertInterchangeFormat

crossValidation - Variable in class pt.tumba.ngram.svm.SVMCategorizer

curChar - Variable in class pt.tumba.ngram.bayes.BayesInterchangeFormat

curChar - Variable in class pt.tumba.ngram.bayes.XMLInterchangeFormat

curLexState - Variable in class pt.tumba.ngram.bayes.BayesInterchangeFormat

curLexState - Variable in class pt.tumba.ngram.bayes.XMLInterchangeFormat

currentToken - Variable in exception pt.tumba.ngram.bayes.ParseException

This is the last token that has been consumed successfully.

current_function - Variable in class pt.tumba.ngram.bayes.Expectation