Index (CoordinateKit CRF API)

A B C D E F G H I L M N O P R S T U V W X
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

A

apply(F, int) - Method in interface org.coordinatekit.crf.core.preprocessing.WindowFeatureMapper: Applies this mapper to transform a feature based on its relative position.

B

build() - Method in class org.coordinatekit.crf.core.preprocessing.LengthFeatureExtractor.Builder: Builds the feature extractor.
build() - Method in class org.coordinatekit.crf.core.preprocessing.PatternMatchingFeatureExtractor.Builder: Builds the feature extractor.
build() - Method in class org.coordinatekit.crf.core.preprocessing.PositionFeatureExtractor.Builder: Builds the feature extractor.
build() - Method in class org.coordinatekit.crf.core.preprocessing.SubstringFeatureExtractor.Builder: Builds the feature extractor.
build() - Method in class org.coordinatekit.crf.core.preprocessing.WindowFeatureExtractor.Builder: Builds a new WindowFeatureExtractor with the configured parameters.
build() - Method in class org.coordinatekit.crf.core.preprocessing.XPathFeatureExtractor.Builder: Builds the feature extractor.
build() - Method in class org.coordinatekit.crf.mallet.train.ConllOutputConfiguration.Builder: Builds the configuration with the current settings.
build() - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration.Builder: Builds the configuration with the current settings.
build() - Method in class org.coordinatekit.crf.mallet.train.ModelOutputConfiguration.Builder: Builds the configuration with the current settings.
builder() - Static method in class org.coordinatekit.crf.core.preprocessing.PositionFeatureExtractor: Creates a new builder for PositionFeatureExtractor.
builder() - Static method in class org.coordinatekit.crf.mallet.train.ConllOutputConfiguration: Returns a new ConllOutputConfiguration.Builder instance for constructing a configuration.
builder() - Static method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration: Returns a new MalletCrfTrainerConfiguration.Builder instance for constructing a configuration.
builder() - Static method in class org.coordinatekit.crf.mallet.train.ModelOutputConfiguration: Returns a new ModelOutputConfiguration.Builder instance for constructing a configuration.
builder(int) - Static method in class org.coordinatekit.crf.core.preprocessing.LengthFeatureExtractor: Creates a new builder with the specified length upper limit.
builder(InputStream, String) - Static method in class org.coordinatekit.crf.core.preprocessing.XPathFeatureExtractor: Creates a new builder with the specified XML input stream and XPath expression.
builder(String) - Static method in class org.coordinatekit.crf.core.preprocessing.PatternMatchingFeatureExtractor: Creates a new builder with the specified pattern string.
builder(String, boolean) - Static method in class org.coordinatekit.crf.core.preprocessing.PatternMatchingFeatureExtractor: Creates a new builder with the specified pattern string and case sensitivity.
builder(Function<String, F>) - Static method in class org.coordinatekit.crf.core.preprocessing.SubstringFeatureExtractor: Creates a new builder with the specified feature mapper function.
builder(Pattern) - Static method in class org.coordinatekit.crf.core.preprocessing.PatternMatchingFeatureExtractor: Creates a new builder with the specified compiled pattern.
builder(FeatureExtractor<F>, WindowFeatureMapper<F>) - Static method in class org.coordinatekit.crf.core.preprocessing.WindowFeatureExtractor: Creates a new builder for constructing a WindowFeatureExtractor.

C

caseSensitive(boolean) - Method in class org.coordinatekit.crf.core.preprocessing.XPathFeatureExtractor.Builder: Sets whether token matching should be case-sensitive.
CompositeFeatureExtractor<F> - Class in org.coordinatekit.crf.core.preprocessing: A feature extractor that combines multiple feature extractors into one.
CompositeTestAccuracyEvaluator - Class in org.coordinatekit.crf.mallet.train: A composite evaluator that logs iteration statistics along with both instance and token accuracy metrics on test data.
CompositeTestAccuracyEvaluator(InstanceList, String) - Constructor for class org.coordinatekit.crf.mallet.train.CompositeTestAccuracyEvaluator: Creates a new composite evaluator for the specified test data.
configuration - Variable in class org.coordinatekit.crf.mallet.train.MalletCrfTrainer: The configuration parameters controlling the training process.
Configuration Options - Search tag in package org.coordinatekit.crf.mallet.train: Section
conllOutputConfiguration() - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration: Returns the configuration for CoNLL output.
conllOutputConfiguration(ConllOutputConfiguration) - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration.Builder: Sets the configuration for CoNLL output.
ConllOutputConfiguration - Class in org.coordinatekit.crf.mallet.train: Configuration settings for ConllOutputEvaluator.
ConllOutputConfiguration.Builder - Class in org.coordinatekit.crf.mallet.train: Builder for constructing ConllOutputConfiguration instances.
conllOutputEnabled() - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration: Returns whether CoNLL output is enabled during training.
conllOutputEnabled(boolean) - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration.Builder: Sets whether to enable CoNLL output during training.
ConllOutputEvaluator - Class in org.coordinatekit.crf.mallet.train: An evaluator that outputs predicted and actual labels in CoNLL format.
ConllOutputEvaluator(InstanceList, String, ConllOutputConfiguration) - Constructor for class org.coordinatekit.crf.mallet.train.ConllOutputEvaluator: Creates a new CoNLL output evaluator with the specified configuration.
createCrf(InstanceList) - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainer: Creates a CRF model initialized with states derived from the training data.
createCrfTrainer(CRF) - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainer: Creates and configures a threaded CRF trainer for the given model.
createMalletSequences(CRF, Sequence<FeaturePositionedToken<F>>) - Method in class org.coordinatekit.crf.mallet.tag.MalletCrfTagger: Converts a sequence of feature-positioned tokens into a MALLET feature vector sequence.
CRF_SCHEMA_NAMESPACE_URI - Static variable in class org.coordinatekit.crf.core.io.XmlTrainingData: The namespace URI for CRF structural elements.
CrfTagger<F,T> - Interface in org.coordinatekit.crf.core.tag: A conditional random field (CRF) tagger that assigns tags to tokens in an input string.
CrfTrainer - Interface in org.coordinatekit.crf.core.train: Interface for training Conditional Random Field (CRF) models.

D

decode(String) - Method in class org.coordinatekit.crf.core.StringTagProvider
decode(String) - Method in interface org.coordinatekit.crf.core.TagProvider: Converts a string representation to a typed tag value.
defaults() - Static method in class org.coordinatekit.crf.mallet.train.ConllOutputConfiguration: Returns a configuration with all default values.
defaults() - Static method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration: Returns a configuration with all default values.
defaults() - Static method in class org.coordinatekit.crf.mallet.train.ModelOutputConfiguration: Returns a configuration with all default values.
DENSE - Enum constant in enum class org.coordinatekit.crf.mallet.train.WeightsType: Use dense weight storage for all features.
deserialize(Class<T>, Path) - Static method in class org.coordinatekit.crf.core.util.Serializables: Deserializes an object from a file.

E

encode(String) - Method in class org.coordinatekit.crf.core.StringTagProvider
encode(T) - Method in interface org.coordinatekit.crf.core.TagProvider: Converts a typed tag value to its string representation.
ending(boolean) - Method in class org.coordinatekit.crf.core.preprocessing.SubstringFeatureExtractor.Builder: Sets whether to extract from the end (suffix) or beginning (prefix) of the token.
equals(Object) - Method in record class org.coordinatekit.crf.mallet.train.SimpleTrainingTestSplit: Indicates whether some other object is "equal to" this one.
evaluate(TransducerTrainer) - Method in class org.coordinatekit.crf.mallet.train.ModelOutputEvaluator
evaluateInstanceList(TransducerTrainer, InstanceList, String) - Method in class org.coordinatekit.crf.mallet.train.CompositeTestAccuracyEvaluator
evaluateInstanceList(TransducerTrainer, InstanceList, String) - Method in class org.coordinatekit.crf.mallet.train.ConllOutputEvaluator
evaluateInstanceList(TransducerTrainer, InstanceList, String) - Method in class org.coordinatekit.crf.mallet.train.ModelOutputEvaluator
Example: Combining Feature Extractors - Search tag in package org.coordinatekit.crf.core.preprocessing: Section
Example Usage - Search tag in package org.coordinatekit.crf.mallet.tag: Section
Example Usage - Search tag in package org.coordinatekit.crf.mallet.train: Section
extract(Sequence<? extends PositionedToken>) - Method in interface org.coordinatekit.crf.core.preprocessing.FeatureExtractor: Extracts features for all tokens in a sequence.
extractAt(Sequence<? extends PositionedToken>, int) - Method in class org.coordinatekit.crf.core.preprocessing.CompositeFeatureExtractor
extractAt(Sequence<? extends PositionedToken>, int) - Method in interface org.coordinatekit.crf.core.preprocessing.FeatureExtractor: Extracts features for the token at the specified position within a sequence.
extractAt(Sequence<? extends PositionedToken>, int) - Method in class org.coordinatekit.crf.core.preprocessing.LengthFeatureExtractor
extractAt(Sequence<? extends PositionedToken>, int) - Method in class org.coordinatekit.crf.core.preprocessing.PatternMatchingFeatureExtractor
extractAt(Sequence<? extends PositionedToken>, int) - Method in class org.coordinatekit.crf.core.preprocessing.PositionFeatureExtractor
extractAt(Sequence<? extends PositionedToken>, int) - Method in class org.coordinatekit.crf.core.preprocessing.SubstringFeatureExtractor
extractAt(Sequence<? extends PositionedToken>, int) - Method in class org.coordinatekit.crf.core.preprocessing.TransformingFeatureExtractor
extractAt(Sequence<? extends PositionedToken>, int) - Method in class org.coordinatekit.crf.core.preprocessing.WindowFeatureExtractor
extractAt(Sequence<? extends PositionedToken>, int) - Method in class org.coordinatekit.crf.core.preprocessing.XPathFeatureExtractor
extractTraining(Sequence<? extends TrainingPositionedToken<T>>) - Method in interface org.coordinatekit.crf.core.preprocessing.FeatureExtractor: Extracts features for all tokens in a training sequence, preserving tag information.

F

featureExtractor - Variable in class org.coordinatekit.crf.mallet.train.MalletCrfTrainer: The feature extractor for converting tokens to feature sets during training.
FeatureExtractor<F> - Interface in org.coordinatekit.crf.core.preprocessing: Extracts features from tokens within a sequence for use in CRF model training and tagging.
Feature Extractors - Search tag in package org.coordinatekit.crf.core.preprocessing: Section
FeaturePositionedToken<F> - Interface in org.coordinatekit.crf.core.preprocessing: A positioned token that includes extracted features.
features() - Method in interface org.coordinatekit.crf.core.preprocessing.FeaturePositionedToken: Returns the set of features extracted for this token.
FeatureSequence<F> - Class in org.coordinatekit.crf.core.preprocessing: A sequence of tokens with extracted features.
FeatureSequence(List<String>, List<Set<F>>) - Constructor for class org.coordinatekit.crf.core.preprocessing.FeatureSequence: Constructs a new feature sequence from the given tokens and features.
FeatureTrainingPositionedToken<F,T> - Interface in org.coordinatekit.crf.core.preprocessing: A positioned token that includes both extracted features and a training label.
FeatureTrainingSequence<F,T> - Class in org.coordinatekit.crf.core.preprocessing: A sequence of tokens with both extracted features and training labels.
FeatureTrainingSequence(List<String>, List<T>, List<Set<F>>) - Constructor for class org.coordinatekit.crf.core.preprocessing.FeatureTrainingSequence: Constructs a new feature training sequence from the given tokens, tags, and features.
filePrefix() - Method in class org.coordinatekit.crf.mallet.train.ConllOutputConfiguration: Returns the prefix for output file names.
filePrefix() - Method in class org.coordinatekit.crf.mallet.train.ModelOutputConfiguration: Returns the prefix for output file names.
filePrefix(String) - Method in class org.coordinatekit.crf.mallet.train.ConllOutputConfiguration.Builder: Sets the prefix for output file names.
filePrefix(String) - Method in class org.coordinatekit.crf.mallet.train.ModelOutputConfiguration.Builder: Sets the prefix for output file names.
fileSuffix() - Method in class org.coordinatekit.crf.mallet.train.ConllOutputConfiguration: Returns the suffix (extension) for output file names.
fileSuffix() - Method in class org.coordinatekit.crf.mallet.train.ModelOutputConfiguration: Returns the suffix (extension) for output file names.
fileSuffix(String) - Method in class org.coordinatekit.crf.mallet.train.ConllOutputConfiguration.Builder: Sets the suffix (extension) for output file names.
fileSuffix(String) - Method in class org.coordinatekit.crf.mallet.train.ModelOutputConfiguration.Builder: Sets the suffix (extension) for output file names.
firstFeature(F) - Method in class org.coordinatekit.crf.core.preprocessing.PositionFeatureExtractor.Builder: Sets the feature to emit for the first token in a sequence.
fullyConnected() - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration: Returns whether to create a fully connected CRF state machine.
fullyConnected(boolean) - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration.Builder: Sets whether to create a fully connected CRF state machine.

G

gaussianVariance() - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration: Returns the Gaussian prior variance for L2 regularization.
gaussianVariance(double) - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration.Builder: Sets the Gaussian prior variance for L2 regularization.
generateSchema(OutputStream) - Method in interface org.coordinatekit.crf.core.io.TrainingSchemaGenerator: Generates a schema and writes it to the specified output stream.
generateSchema(OutputStream) - Method in class org.coordinatekit.crf.core.io.XmlTrainingData
get(int) - Method in class org.coordinatekit.crf.core.InputSequence
get(int) - Method in class org.coordinatekit.crf.core.preprocessing.FeatureSequence
get(int) - Method in class org.coordinatekit.crf.core.preprocessing.FeatureTrainingSequence
get(int) - Method in class org.coordinatekit.crf.core.preprocessing.TrainingSequence
get(int) - Method in interface org.coordinatekit.crf.core.Sequence: Returns the token at the specified position in this sequence.
get(int) - Method in class org.coordinatekit.crf.core.tag.TaggedSequence

H

hashCode() - Method in record class org.coordinatekit.crf.mallet.train.SimpleTrainingTestSplit: Returns a hash code value for this object.
hasLengthFeatureMapper(Function<Integer, F>) - Method in class org.coordinatekit.crf.core.preprocessing.LengthFeatureExtractor.Builder: Sets the mapper function to generate features for lengths the sequence has.

I

includeCurrentToken(boolean) - Method in class org.coordinatekit.crf.core.preprocessing.WindowFeatureExtractor.Builder: Sets whether to include features from the current token.
includeIfLessThanLength(boolean) - Method in class org.coordinatekit.crf.core.preprocessing.SubstringFeatureExtractor.Builder: Sets whether to include tokens shorter than the configured length.
input() - Method in exception class org.coordinatekit.crf.core.preprocessing.InvalidInputException: Returns the invalid input that caused this exception.
InputSequence - Class in org.coordinatekit.crf.core: A sequence of tokens representing user input for tagging.
InputSequence(List<String>) - Constructor for class org.coordinatekit.crf.core.InputSequence: Creates a new sequence from the given list of string tokens.
InvalidInputException - Exception Class in org.coordinatekit.crf.core.preprocessing: Exception thrown when input provided to a preprocessing component is invalid.
InvalidInputException(String) - Constructor for exception class org.coordinatekit.crf.core.preprocessing.InvalidInputException: Creates a new exception for invalid input without a specific reason.
InvalidInputException(String, String) - Constructor for exception class org.coordinatekit.crf.core.preprocessing.InvalidInputException: Creates a new exception for invalid input with a specific reason.
iterationInterval() - Method in class org.coordinatekit.crf.mallet.train.ConllOutputConfiguration: Returns the iteration interval for writing output files.
iterationInterval() - Method in class org.coordinatekit.crf.mallet.train.ModelOutputConfiguration: Returns the iteration interval for writing model files.
iterationInterval(int) - Method in class org.coordinatekit.crf.mallet.train.ConllOutputConfiguration.Builder: Sets the iteration interval for writing output files.
iterationInterval(int) - Method in class org.coordinatekit.crf.mallet.train.ModelOutputConfiguration.Builder: Sets the iteration interval for writing model files.
iterations() - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration: Returns the maximum number of training iterations.
iterations(int) - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration.Builder: Sets the maximum number of training iterations.
iterator() - Method in class org.coordinatekit.crf.core.InputSequence
iterator() - Method in class org.coordinatekit.crf.core.preprocessing.FeatureSequence
iterator() - Method in class org.coordinatekit.crf.core.preprocessing.FeatureTrainingSequence
iterator() - Method in class org.coordinatekit.crf.core.preprocessing.TrainingSequence
iterator() - Method in class org.coordinatekit.crf.core.tag.TaggedSequence

L

lacksLengthFeatureMapper(Function<Integer, F>) - Method in class org.coordinatekit.crf.core.preprocessing.LengthFeatureExtractor.Builder: Sets the mapper function to generate features for lengths the sequence lacks.
lastFeature(F) - Method in class org.coordinatekit.crf.core.preprocessing.PositionFeatureExtractor.Builder: Sets the feature to emit for the last token in a sequence.
length(int) - Method in class org.coordinatekit.crf.core.preprocessing.SubstringFeatureExtractor.Builder: Sets the length of the substring to extract.
LengthFeatureExtractor<F> - Class in org.coordinatekit.crf.core.preprocessing: A feature extractor that generates features based on the length of a sequence.
LengthFeatureExtractor.Builder<F> - Class in org.coordinatekit.crf.core.preprocessing: Builder for LengthFeatureExtractor.

M

MalletCrfTagger<F,T> - Class in org.coordinatekit.crf.mallet.tag: A MALLET-based implementation of CrfTagger that uses a pre-trained CRF model to tag input sequences.
MalletCrfTagger(FeatureExtractor<F>, Path, TagProvider<T>, Tokenizer) - Constructor for class org.coordinatekit.crf.mallet.tag.MalletCrfTagger: Creates a new tagger by loading a serialized CRF model from the specified path.
MalletCrfTrainer<F,T> - Class in org.coordinatekit.crf.mallet.train: A CRF trainer implementation using the MALLET (MAchine Learning for LanguagE Toolkit) library.
MalletCrfTrainer(FeatureExtractor<F>, TagProvider<T>, TrainingDataSequencer<T>) - Constructor for class org.coordinatekit.crf.mallet.train.MalletCrfTrainer: Creates a new trainer with the specified components and default configuration.
MalletCrfTrainer(FeatureExtractor<F>, TagProvider<T>, TrainingDataSequencer<T>, MalletCrfTrainerConfiguration) - Constructor for class org.coordinatekit.crf.mallet.train.MalletCrfTrainer: Creates a new trainer with the specified components and configuration.
MalletCrfTrainerConfiguration - Class in org.coordinatekit.crf.mallet.train: Configuration settings for MalletCrfTrainer.
MalletCrfTrainerConfiguration.Builder - Class in org.coordinatekit.crf.mallet.train: Builder for constructing MalletCrfTrainerConfiguration instances.
mapSequenceToInstance(Alphabet, LabelAlphabet, TrainingSequence<T>) - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainer: Converts a training sequence into a MALLET Instance.
matchedFeature(F) - Method in class org.coordinatekit.crf.core.preprocessing.PatternMatchingFeatureExtractor.Builder: Sets the feature to emit when a token matches the pattern.
modelOutputConfiguration() - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration: Returns the configuration for model checkpoint output.
modelOutputConfiguration(ModelOutputConfiguration) - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration.Builder: Sets the configuration for model checkpoint output.
ModelOutputConfiguration - Class in org.coordinatekit.crf.mallet.train: Configuration settings for ModelOutputEvaluator.
ModelOutputConfiguration.Builder - Class in org.coordinatekit.crf.mallet.train: Builder for constructing ModelOutputConfiguration instances.
modelOutputEnabled() - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration: Returns whether model checkpoint output is enabled during training.
modelOutputEnabled(boolean) - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration.Builder: Sets whether to enable model checkpoint output during training.
ModelOutputEvaluator - Class in org.coordinatekit.crf.mallet.train: An evaluator that writes the current transducer (model) to file using Java serialization.
ModelOutputEvaluator(ModelOutputConfiguration) - Constructor for class org.coordinatekit.crf.mallet.train.ModelOutputEvaluator: Creates a new model output evaluator with the specified configuration.

N

notMatchedFeature(F) - Method in class org.coordinatekit.crf.core.preprocessing.PatternMatchingFeatureExtractor.Builder: Sets the feature to emit when a token does not match the pattern.
notPresentFeature(F) - Method in class org.coordinatekit.crf.core.preprocessing.XPathFeatureExtractor.Builder: Sets the feature to emit when a token is not present in the value set.

O

of(FeatureExtractor<F>...) - Static method in class org.coordinatekit.crf.core.preprocessing.CompositeFeatureExtractor: Creates a new composite feature extractor from the specified extractors.
org.coordinatekit.crf.core - package org.coordinatekit.crf.core: Core abstractions and interfaces for Conditional Random Fields (CRF) sequence labeling.
org.coordinatekit.crf.core.io - package org.coordinatekit.crf.core.io: Input/output components for reading and writing CRF training data.
org.coordinatekit.crf.core.preprocessing - package org.coordinatekit.crf.core.preprocessing: Preprocessing components for tokenization and feature extraction in CRF pipelines.
org.coordinatekit.crf.core.tag - package org.coordinatekit.crf.core.tag: Tagging interfaces and result types for CRF sequence labeling.
org.coordinatekit.crf.core.train - package org.coordinatekit.crf.core.train: Training interfaces for CRF model construction.
org.coordinatekit.crf.core.util - package org.coordinatekit.crf.core.util: Utility classes for CRF operations.
org.coordinatekit.crf.mallet.tag - package org.coordinatekit.crf.mallet.tag: MALLET-based CRF tagging implementation.
org.coordinatekit.crf.mallet.train - package org.coordinatekit.crf.mallet.train: MALLET-based CRF training implementation.
outputDirectory() - Method in class org.coordinatekit.crf.mallet.train.ConllOutputConfiguration: Returns the directory in which to write output files.
outputDirectory() - Method in class org.coordinatekit.crf.mallet.train.ModelOutputConfiguration: Returns the directory in which to write model files.
outputDirectory(Path) - Method in class org.coordinatekit.crf.mallet.train.ConllOutputConfiguration.Builder: Sets the directory in which to write output files.
outputDirectory(Path) - Method in class org.coordinatekit.crf.mallet.train.ModelOutputConfiguration.Builder: Sets the directory in which to write model files.

P

PatternMatchingFeatureExtractor<F> - Class in org.coordinatekit.crf.core.preprocessing: A feature extractor that matches tokens against a regex pattern.
PatternMatchingFeatureExtractor.Builder<F> - Class in org.coordinatekit.crf.core.preprocessing: Builder for PatternMatchingFeatureExtractor.
position() - Method in interface org.coordinatekit.crf.core.PositionedToken: Returns the zero-based position of this token within its sequence.
PositionedToken - Interface in org.coordinatekit.crf.core: A token with its position within a sequence.
PositionFeatureExtractor<F> - Class in org.coordinatekit.crf.core.preprocessing: A feature extractor that generates features based on token position within a sequence.
PositionFeatureExtractor.Builder<F> - Class in org.coordinatekit.crf.core.preprocessing: Builder for PositionFeatureExtractor.
positionFromEndFeatureMapper(Function<Integer, F>) - Method in class org.coordinatekit.crf.core.preprocessing.PositionFeatureExtractor.Builder: Sets the mapper function to generate features based on position from the end.
positionFromStartFeatureMapper(Function<Integer, F>) - Method in class org.coordinatekit.crf.core.preprocessing.PositionFeatureExtractor.Builder: Sets the mapper function to generate features based on position from the start.
presentFeature(F) - Method in class org.coordinatekit.crf.core.preprocessing.XPathFeatureExtractor.Builder: Sets the feature to emit when a token is present in the value set.

R

randomSeed() - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration: Returns the random seed for reproducible data splitting.
randomSeed(int) - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration.Builder: Sets the random seed for data splitting.
read(InputStream) - Method in interface org.coordinatekit.crf.core.io.TrainingDataSequencer: Reads training data from an input stream and returns a stream of training sequences.
read(InputStream) - Method in class org.coordinatekit.crf.core.io.XmlTrainingData
read(Path) - Method in interface org.coordinatekit.crf.core.io.TrainingDataSequencer: Reads training data from a file path and returns a stream of training sequences.
reason() - Method in exception class org.coordinatekit.crf.core.preprocessing.InvalidInputException: Returns the reason why the input is invalid.
Result Types - Search tag in package org.coordinatekit.crf.mallet.tag: Section

S

score() - Method in interface org.coordinatekit.crf.core.tag.TagScore: Returns the confidence score for this tag.
Sequence<E> - Interface in org.coordinatekit.crf.core: Represents an ordered sequence of positioned tokens.
SEQUENCE_ELEMENT_NAME - Static variable in class org.coordinatekit.crf.core.io.XmlTrainingData: The local name of the element that contains a training sequence.
Serializables - Class in org.coordinatekit.crf.core.util: Utility methods for serializing and deserializing objects to and from files.
serialize(T, Path) - Static method in class org.coordinatekit.crf.core.util.Serializables: Serializes an object to a file.
SimpleTrainingTestSplit - Record Class in org.coordinatekit.crf.mallet.train: A container for training and test data splits.
SimpleTrainingTestSplit(InstanceList, InstanceList) - Constructor for record class org.coordinatekit.crf.mallet.train.SimpleTrainingTestSplit: Creates an instance of a SimpleTrainingTestSplit record class.
size() - Method in class org.coordinatekit.crf.core.InputSequence
size() - Method in class org.coordinatekit.crf.core.preprocessing.FeatureSequence
size() - Method in class org.coordinatekit.crf.core.preprocessing.FeatureTrainingSequence
size() - Method in class org.coordinatekit.crf.core.preprocessing.TrainingSequence
size() - Method in interface org.coordinatekit.crf.core.Sequence: Returns the number of tokens in this sequence.
size() - Method in class org.coordinatekit.crf.core.tag.TaggedSequence
size() - Method in interface org.coordinatekit.crf.mallet.train.TrainingTestSplit: Returns the total number of instances across both training and test sets.
SOME_DENSE - Enum constant in enum class org.coordinatekit.crf.mallet.train.WeightsType: Use a hybrid approach with some dense and some sparse weights.
SPARSE - Enum constant in enum class org.coordinatekit.crf.mallet.train.WeightsType: Use sparse weight storage for all features.
splitTrainingData(Collection<Path>) - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainer: Reads training data and splits it into training and test sets.
startingTag() - Method in class org.coordinatekit.crf.core.StringTagProvider
startingTag() - Method in interface org.coordinatekit.crf.core.TagProvider: Returns the starting/fallback tag for the CRF.
stream() - Method in class org.coordinatekit.crf.core.InputSequence
stream() - Method in class org.coordinatekit.crf.core.preprocessing.FeatureSequence
stream() - Method in class org.coordinatekit.crf.core.preprocessing.FeatureTrainingSequence
stream() - Method in class org.coordinatekit.crf.core.preprocessing.TrainingSequence
stream() - Method in interface org.coordinatekit.crf.core.Sequence: Returns a sequential Stream over the tokens in this sequence.
stream() - Method in class org.coordinatekit.crf.core.tag.TaggedSequence
StringTagProvider - Class in org.coordinatekit.crf.core: A tag provider for string tags with a defined tag set and starting tag.
StringTagProvider(String) - Constructor for class org.coordinatekit.crf.core.StringTagProvider: Constructs a new string tag provider with the starting tag.
StringTagProvider(Collection<String>, String) - Constructor for class org.coordinatekit.crf.core.StringTagProvider: Constructs a new string tag provider with the specified tags and starting tag.
SubstringFeatureExtractor<F> - Class in org.coordinatekit.crf.core.preprocessing: A feature extractor that generates features based on prefixes or suffixes of tokens.
SubstringFeatureExtractor.Builder<F> - Class in org.coordinatekit.crf.core.preprocessing: Builder for SubstringFeatureExtractor.

T

tag() - Method in interface org.coordinatekit.crf.core.preprocessing.FeatureTrainingPositionedToken: Returns the training tag (label) for this token.
tag() - Method in interface org.coordinatekit.crf.core.preprocessing.TrainingPositionedToken: Returns the training tag (label) for this token.
tag() - Method in interface org.coordinatekit.crf.core.tag.TaggedPositionedToken: Returns the highest-scoring tag for this token.
tag() - Method in interface org.coordinatekit.crf.core.tag.TagScore: Returns the tag value.
tag(int) - Method in interface org.coordinatekit.crf.core.tag.TaggedPositionedToken: Returns an iterator over the top N tags for this token, ordered by score descending.
tag(String) - Method in interface org.coordinatekit.crf.core.tag.CrfTagger: Tags the tokens in the input string using the CRF model.
tag(String) - Method in class org.coordinatekit.crf.mallet.tag.MalletCrfTagger
TaggedPositionedToken<F,T> - Interface in org.coordinatekit.crf.core.tag: A positioned token that includes the scores for each tag.
TaggedSequence<F,T> - Class in org.coordinatekit.crf.core.tag: A sequence of tokens that have been tagged by a CRF model with associated features and tag scores.
TaggedSequence(List<String>, List<Set<F>>, List<Map<T, Double>>) - Constructor for class org.coordinatekit.crf.core.tag.TaggedSequence: Creates a new tagged sequence from parallel lists of tokens, features, and tag scores.
tagProvider - Variable in class org.coordinatekit.crf.mallet.train.MalletCrfTrainer: The tag provider defining available tags and their encoding/decoding.
TagProvider<T> - Interface in org.coordinatekit.crf.core: Provides tag information for CRF models, including conversion, enumeration, and the starting state.
tags() - Method in class org.coordinatekit.crf.core.StringTagProvider
tags() - Method in interface org.coordinatekit.crf.core.TagProvider: Returns all valid tags in the model's label space.
TagScore<T> - Interface in org.coordinatekit.crf.core.tag: A tag with its associated confidence score.
tagScores() - Method in interface org.coordinatekit.crf.core.tag.TaggedPositionedToken: Returns an iterator over all tag scores for this token, ordered by score descending.
test() - Method in record class org.coordinatekit.crf.mallet.train.SimpleTrainingTestSplit: Returns the value of the test record component.
test() - Method in interface org.coordinatekit.crf.mallet.train.TrainingTestSplit: Returns the instances to use for model evaluation.
threads() - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration: Returns the number of threads to use for parallel training.
threads(int) - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration.Builder: Sets the number of threads for parallel training.
token() - Method in interface org.coordinatekit.crf.core.PositionedToken: Returns the token value.
tokenize(String) - Method in interface org.coordinatekit.crf.core.preprocessing.Tokenizer: Tokenizes the input string into a sequence of tokens.
tokenize(String) - Method in class org.coordinatekit.crf.core.preprocessing.WhitespaceTokenizer: Tokenizes the input string into a sequence of tokens.
Tokenizer - Interface in org.coordinatekit.crf.core.preprocessing: Converts raw text input into a sequence of tokens.
toString() - Method in record class org.coordinatekit.crf.mallet.train.SimpleTrainingTestSplit: Returns a string representation of this record class.
train(Path, Path) - Method in interface org.coordinatekit.crf.core.train.CrfTrainer: Trains a CRF model using the training data at the specified path and saves the model to the specified output path.
train(Collection<Path>, Path) - Method in interface org.coordinatekit.crf.core.train.CrfTrainer: Trains a CRF model using the training data at the specified paths and saves the model to the specified output path.
train(Collection<Path>, Path) - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainer
training() - Method in record class org.coordinatekit.crf.mallet.train.SimpleTrainingTestSplit: Returns the value of the training record component.
training() - Method in interface org.coordinatekit.crf.mallet.train.TrainingTestSplit: Returns the training instances to use for model training.
Training Data Format - Search tag in package org.coordinatekit.crf.core.io: Section
trainingDataSequencer - Variable in class org.coordinatekit.crf.mallet.train.MalletCrfTrainer: The sequencer for reading training data from files into training sequences.
TrainingDataSequencer<T> - Interface in org.coordinatekit.crf.core.io: Reads training data and converts it into a stream of training sequences.
trainingFraction() - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration: Returns the fraction of data to use for training.
trainingFraction(double) - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration.Builder: Sets the fraction of data to use for training.
TrainingPositionedToken<T> - Interface in org.coordinatekit.crf.core.preprocessing: A positioned token that includes a training label.
TrainingSchemaGenerator - Interface in org.coordinatekit.crf.core.io: Generates schema definitions for validating CRF training data.
TrainingSequence<T> - Class in org.coordinatekit.crf.core.preprocessing: A sequence of tokens with training labels.
TrainingSequence(List<String>, List<T>) - Constructor for class org.coordinatekit.crf.core.preprocessing.TrainingSequence: Constructs a new training sequence from the given tokens and tags.
TrainingTestSplit - Interface in org.coordinatekit.crf.mallet.train: A container for training and test data splits.
TransformingFeatureExtractor<F> - Class in org.coordinatekit.crf.core.preprocessing: A feature extractor that applies a transformation function to each token to produce features.
TransformingFeatureExtractor(Function<String, Set<F>>) - Constructor for class org.coordinatekit.crf.core.preprocessing.TransformingFeatureExtractor: Creates a new transforming feature extractor with the specified transformation function.

U

UncheckedCrfException - Exception Class in org.coordinatekit.crf.core: Unchecked exception thrown when an error occurs during conditional random field (CRF) operations.
UncheckedCrfException() - Constructor for exception class org.coordinatekit.crf.core.UncheckedCrfException: Constructs a new exception with no detail message.
UncheckedCrfException(String) - Constructor for exception class org.coordinatekit.crf.core.UncheckedCrfException: Constructs a new exception with the specified detail message.
UncheckedCrfException(String, Throwable) - Constructor for exception class org.coordinatekit.crf.core.UncheckedCrfException: Constructs a new exception with the specified detail message and cause.
UncheckedCrfException(Throwable) - Constructor for exception class org.coordinatekit.crf.core.UncheckedCrfException: Constructs a new exception with the specified cause.

V

valueOf(String) - Static method in enum class org.coordinatekit.crf.mallet.train.WeightsType: Returns the enum constant of this class with the specified name.
values() - Static method in enum class org.coordinatekit.crf.mallet.train.WeightsType: Returns an array containing the constants of this enum class, in the order they are declared.

W

weightsType() - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration: Returns the weight storage type for the CRF.
weightsType(WeightsType) - Method in class org.coordinatekit.crf.mallet.train.MalletCrfTrainerConfiguration.Builder: Sets the weight storage type.
WeightsType - Enum Class in org.coordinatekit.crf.mallet.train: Specifies the weight storage strategy for CRF training.
WhitespaceTokenizer - Class in org.coordinatekit.crf.core.preprocessing: A tokenizer that splits input on whitespace characters.
WhitespaceTokenizer() - Constructor for class org.coordinatekit.crf.core.preprocessing.WhitespaceTokenizer: Creates a new whitespace tokenizer.
windowAfter(int) - Method in class org.coordinatekit.crf.core.preprocessing.WindowFeatureExtractor.Builder: Sets the number of tokens to look forward from the current position.
windowBefore(int) - Method in class org.coordinatekit.crf.core.preprocessing.WindowFeatureExtractor.Builder: Sets the number of tokens to look back from the current position.
WindowFeatureExtractor<F> - Class in org.coordinatekit.crf.core.preprocessing: A feature extractor that extracts features from the current token and neighboring tokens within a window.
WindowFeatureExtractor.Builder<F> - Class in org.coordinatekit.crf.core.preprocessing: Builder for constructing WindowFeatureExtractor instances.
WindowFeatureMapper<F> - Interface in org.coordinatekit.crf.core.preprocessing: A function that maps a feature to a new feature based on its relative position.

X

XmlTrainingData<T> - Class in org.coordinatekit.crf.core.io: Reads and writes CRF training data in XML format, and generates XSD schemas for tag validation.
XmlTrainingData(TagProvider<T>) - Constructor for class org.coordinatekit.crf.core.io.XmlTrainingData: Constructs an XmlTrainingData instance for reading training data.
XmlTrainingData(TagProvider<T>, String) - Constructor for class org.coordinatekit.crf.core.io.XmlTrainingData: Constructs an XmlTrainingData instance with a target namespace for schema generation.
XPathFeatureExtractor<F> - Class in org.coordinatekit.crf.core.preprocessing: A feature extractor that checks whether tokens are present in a set of values loaded from an XML file using XPath expressions.
XPathFeatureExtractor.Builder<F> - Class in org.coordinatekit.crf.core.preprocessing: Builder for XPathFeatureExtractor.

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