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 _

I

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

IFBayesNet - Class in pt.tumba.ngram.bayes

Auxiliar class that stores the temporary information about a BayesNet, before it is possible to actually create a BayesNet object

IFBayesNet(String, Vector) - Constructor for class pt.tumba.ngram.bayes.IFBayesNet

Basic constructor.

IFException - Exception in pt.tumba.ngram.bayes

IFException() - Constructor for exception pt.tumba.ngram.bayes.IFException

IFException(String) - Constructor for exception pt.tumba.ngram.bayes.IFException

IFProbabilityEntry - Class in pt.tumba.ngram.bayes

IFProbabilityEntry(String[], double[]) - Constructor for class pt.tumba.ngram.bayes.IFProbabilityEntry

IFProbabilityFunction - Class in pt.tumba.ngram.bayes

Auxiliar class that stores the temporary information * about a ProbabilityFunction, before it is possible to * actually create a ProbabilityFunction object (because * not all variables may be read at this point).

IFProbabilityFunction() - Constructor for class pt.tumba.ngram.bayes.IFProbabilityFunction

IFProbabilityVariable - Class in pt.tumba.ngram.bayes

Auxiliar class that stores the temporary information * about a ProbabilityVariable.

IFProbabilityVariable() - Constructor for class pt.tumba.ngram.bayes.IFProbabilityVariable

IGNORE_EXPLANATION - Static variable in class pt.tumba.ngram.bayes.Inference

INF - Static variable in class pt.tumba.ngram.svm.Solver

INVALID_INDEX - Static variable in class pt.tumba.ngram.bayes.BayesNet

INVALID_LEXICAL_STATE - Static variable in error pt.tumba.ngram.bayes.TokenMgrError

Tried to change to an invalid lexical state.

Inference - Class in pt.tumba.ngram.bayes

Inference(BayesNet, boolean) - Constructor for class pt.tumba.ngram.bayes.Inference

InferenceGraph - Class in pt.tumba.ngram.bayes

InferenceGraph() - Constructor for class pt.tumba.ngram.bayes.InferenceGraph

InferenceGraph(BayesNet) - Constructor for class pt.tumba.ngram.bayes.InferenceGraph

InferenceGraph(String) - Constructor for class pt.tumba.ngram.bayes.InferenceGraph

InferenceGraph(URL) - Constructor for class pt.tumba.ngram.bayes.InferenceGraph

InferenceGraphNode - Class in pt.tumba.ngram.bayes

InferenceGraphNode(InferenceGraph, String) - Constructor for class pt.tumba.ngram.bayes.InferenceGraphNode

InferenceGraphNode(InferenceGraph, String, Point) - Constructor for class pt.tumba.ngram.bayes.InferenceGraphNode

InferenceGraphNode(InferenceGraph, ProbabilityVariable, ProbabilityFunction) - Constructor for class pt.tumba.ngram.bayes.InferenceGraphNode

InferenceGraphNode(InferenceGraph, ProbabilityVariable, ProbabilityFunction, Point) - Constructor for class pt.tumba.ngram.bayes.InferenceGraphNode

InterchangeFormat - Class in pt.tumba.ngram.bayes

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

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

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

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

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

ifo - Variable in class pt.tumba.ngram.bayes.ConvertInterchangeFormat

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

image - Variable in class pt.tumba.ngram.bayes.Token

The string image of the token.

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

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

inc() - Method in class pt.tumba.ngram.NGram

Increments the number of occurences of this N-gram.

increment(int) - Method in class pt.tumba.ngram.compression.AdaptiveUnigramModel

Increments the model as if it had just encoded or decoded the specified symbol in the stream.

increment(int) - Method in interface pt.tumba.ngram.compression.ArithCodeModel

Increments the model as if it had just encoded or decoded the specified symbol in the stream.

increment(int) - Method in class pt.tumba.ngram.compression.ExcludingAdaptiveUnigramModel

Increment the count for the given outcome.

increment(int) - Method in class pt.tumba.ngram.compression.PPMModel

Increments the model as if it had just encoded or decoded the specified symbol in the stream.

increment(byte) - Method in class pt.tumba.ngram.compression.PPMModel

Adds counts for given byte to model in current context and then updates the current context.

increment(ByteBuffer) - Method in class pt.tumba.ngram.compression.PPMNode

Increment the counts for this node for the string specified in the buffer.

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

Increment the count of all of the nodes along the sequence of bytes determined by the specified array, beginning at the specified offset and continuing for the specified length number of bytes.

increment(int) - Method in class pt.tumba.ngram.compression.UniformModel

Increments the model as if it had just encoded or decoded the specified symbol in the stream.

index - Variable in class pt.tumba.ngram.bayes.DiscreteVariable

index - Variable in class pt.tumba.ngram.svm.SVMNode

The dimention in the vector

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

index_of_value(String) - Method in class pt.tumba.ngram.bayes.DiscreteVariable

Determine the index of a value given its name; returns INVALID_INDEX if there is no index.

index_of_variable(String) - Method in class pt.tumba.ngram.bayes.BayesNet

Determine the position of a variable given its name.

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

inference() - Method in class pt.tumba.ngram.bayes.Inference

Calculation of marginal posterior distribution.

inference(String) - Method in class pt.tumba.ngram.bayes.Inference

Calculation of marginal posterior distribution for an arbitrary BayesNet.

inference(String[]) - Method in class pt.tumba.ngram.bayes.Inference

Calculation of marginal posterior distribution using a given ordering, and an arbitrary BayesNet.

inference(Ordering) - Method in class pt.tumba.ngram.bayes.Inference

inference(String) - Method in class pt.tumba.ngram.bayes.QuasiBayesInference

inference(String[]) - Method in class pt.tumba.ngram.bayes.QuasiBayesInference

Calculation of marginal posterior envelope using a given ordering.

inference_with_local_neighborhoods() - Method in class pt.tumba.ngram.bayes.QuasiBayesInference

inference_without_local_neighborhoods() - Method in class pt.tumba.ngram.bayes.QuasiBayesInference

init(File, String[]) - Method in class pt.tumba.ngram.NGramCathegorizer

Fetch the set of profiles from the disk.

init(File, String[]) - Method in class pt.tumba.ngram.blr.BayesianLogReg

Fetch the set of profiles from the disk.

init(File, String[]) - Method in class pt.tumba.ngram.compression.CompressionCategorizer

Fetch the set of profiles from the disk.

init(File, String[]) - Method in class pt.tumba.ngram.svm.SVMCategorizer

Fetch the set of file resources.

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

initialize() - Method in class pt.tumba.ngram.blr.BayesianLogReg

Initialize the Bayesian Logistic Regression classifyer.

initialize_inference() - Method in class pt.tumba.ngram.bayes.Expectation

initialize_inference() - Method in class pt.tumba.ngram.bayes.QuasiBayesExpectation

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

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

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

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

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

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

insert(DiscreteFunction) - Method in class pt.tumba.ngram.bayes.BucketTree

insert(DiscreteFunction, boolean) - Method in class pt.tumba.ngram.bayes.BucketTree

insertLRU(Cache.CacheNode) - Method in class pt.tumba.ngram.svm.Cache

Insert a node in the cache (at the last position).

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

Convert an integer to a string, padding with spaces in the front to provide a result of the specified minimum length.

integerToByte(int) - Static method in class pt.tumba.ngram.compression.ByteSet

Returns byte coded by the specified integer.

interconnect(BayesNet, Vector[], DiscreteVariable[]) - Method in class pt.tumba.ngram.bayes.Ordering

interconnect(BayesNet, Vector[], DiscreteVariable, DiscreteVariable) - Method in class pt.tumba.ngram.bayes.Ordering

interval(int, int[]) - Method in class pt.tumba.ngram.compression.AdaptiveUnigramModel

Calculates {low count, high count, total count} for the given symbol in the current context.

interval(int, int[]) - Method in interface pt.tumba.ngram.compression.ArithCodeModel

Calculates {low count, high count, total count} for the given symbol in the current context.

interval(int, int[], ByteSet) - Method in class pt.tumba.ngram.compression.ExcludingAdaptiveUnigramModel

Compute the resulting interval to code the specified symbol given the specified excluded bytes.

interval(int, int[]) - Method in class pt.tumba.ngram.compression.PPMModel

Calculates {low count, high count, total count} for the given symbol in the current context.

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

Calculates the interval for the specified byte from this node and writes it into the specified array.

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

Calculates the interval for the specified byte from this node and writes it into the specified array.

interval(int, int[]) - Method in class pt.tumba.ngram.compression.UniformModel

Calculates {low count, high count, total count} for the given symbol in the current context.

intervalByte(int, int[]) - Method in class pt.tumba.ngram.compression.PPMModel

Returns interval for byte specified as an integer in 0 to 255 range.

intervalEscape(int[]) - Method in class pt.tumba.ngram.compression.PPMModel

Returns interval for escape in current context.

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

The interval for the escape count, less the set of excluded bytes.

invert_probability_tables() - Method in class pt.tumba.ngram.bayes.IFBayesNet

Method that inverts the tables in the ProbabilityFunction objects; necessary for formats that put the GIVEN variables as the lowest running indexes in the tables.

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

invert_tables(IFBayesNet) - Method in class pt.tumba.ngram.bayes.IFProbabilityFunction

Method that inverts the tables in the ProbabilityFunction * object; necessary for formats that put the GIVEN * variables as the lowest running indexes in the tables.

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

Returns true if this node has no children, not counting specified exclusions.

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

Returns true if the number of children for this node is 1.

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

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

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

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

Whether or not the node represents a convex set of distributions (credal set).

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

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

Indicate whether the variable in the node is an explanatory variable.

is_explanation() - Method in class pt.tumba.ngram.bayes.ProbabilityVariable

Indicate whether the current ProbabilityVariable is an explanatory variable or not.

is_inference_without_local_neighborhoods - Variable in class pt.tumba.ngram.bayes.QuasiBayesInference

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

Indicate whether the variable in the node is observed.

is_observed() - Method in class pt.tumba.ngram.bayes.ProbabilityVariable

Indicate whether the current ProbabilityVariable has been observed or not.

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

is_separator(int, int) - Method in class pt.tumba.ngram.bayes.DSeparation

istream - Variable in class pt.tumba.ngram.bayes.InterchangeFormat