Index

B C D E F G H I L M N O S T V W
All Classes and Interfaces|All Packages|Serialized Form

B

BINARY - Enum constant in enum class opennlp.tools.ml.libsvm.doccat.TermWeightingStrategy

Binary weighting: 1.0 if the term is present in the document, 0.0 otherwise.

build() - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatConfiguration.Builder

Builder() - Constructor for class opennlp.tools.ml.libsvm.doccat.SvmDoccatConfiguration.Builder

C

categorize(String[]) - Method in class opennlp.tools.ml.libsvm.doccat.DocumentCategorizerSVM

categorize(String[], Map<String, Object>) - Method in class opennlp.tools.ml.libsvm.doccat.DocumentCategorizerSVM

CHI_SQUARE - Enum constant in enum class opennlp.tools.ml.libsvm.doccat.FeatureSelectionStrategy

Chi-Square based feature selection: features are ranked by the maximum chi-square statistic across all categories, and only the top-k features are retained.

D

DEFAULT - Static variable in record class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel.DeserializationLimits

Default limits.

DeserializationLimits(long, long, long) - Constructor for record class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel.DeserializationLimits

Creates an instance of a DeserializationLimits record class.

deserialize(InputStream) - Static method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel

Deserializes a SvmDoccatModel from the given InputStream using default resource limits.

deserialize(InputStream, SvmDoccatModel.DeserializationLimits) - Static method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel

Deserializes a SvmDoccatModel from the given InputStream using the supplied resource limits.

DOCUMENT_FREQUENCY - Enum constant in enum class opennlp.tools.ml.libsvm.doccat.FeatureSelectionStrategy

Document Frequency based feature selection: features are ranked by the number of documents they appear in, and only the top-k features are retained.

DocumentCategorizerSVM - Class in opennlp.tools.ml.libsvm.doccat

An implementation of DocumentCategorizer that uses Support Vector Machines (SVM) via the zlibsvm library for document classification.

DocumentCategorizerSVM(SvmDoccatModel, FeatureGenerator...) - Constructor for class opennlp.tools.ml.libsvm.doccat.DocumentCategorizerSVM

Instantiates a DocumentCategorizerSVM with a trained model and feature generators.

E

equals(Object) - Method in record class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel.DeserializationLimits

Indicates whether some other object is "equal to" this one.

F

FeatureSelectionStrategy - Enum Class in opennlp.tools.ml.libsvm.doccat

Defines strategies for selecting the most informative features for SVM-based text classification.

G

getAllResults(double[]) - Method in class opennlp.tools.ml.libsvm.doccat.DocumentCategorizerSVM

getBestCategory(double[]) - Method in class opennlp.tools.ml.libsvm.doccat.DocumentCategorizerSVM

getCategory(int) - Method in class opennlp.tools.ml.libsvm.doccat.DocumentCategorizerSVM

getCategoryToIndex() - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel

getConfiguration() - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel

getFeatureMaxValues() - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel

getFeatureMinValues() - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel

getFeatureSelectionStrategy() - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatConfiguration

getFeatureVocabulary() - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel

getIdfValues() - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel

getIndex(String) - Method in class opennlp.tools.ml.libsvm.doccat.DocumentCategorizerSVM

getIndexToCategory() - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel

getLanguageCode() - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel

getMaxFeatures() - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatConfiguration

getNumberOfCategories() - Method in class opennlp.tools.ml.libsvm.doccat.DocumentCategorizerSVM

getNumberOfCategories() - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel

getScaleLower() - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatConfiguration

getScaleUpper() - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatConfiguration

getSvmConfiguration() - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatConfiguration

getSvmModel() - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel

getTermWeightingStrategy() - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatConfiguration

H

hashCode() - Method in record class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel.DeserializationLimits

Returns a hash code value for this object.

I

INFORMATION_GAIN - Enum constant in enum class opennlp.tools.ml.libsvm.doccat.FeatureSelectionStrategy

Information Gain based feature selection: features are ranked by their information gain score, and only the top-k features are retained.

isScaleFeatures() - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatConfiguration

L

LOG_NORMALIZED_TF - Enum constant in enum class opennlp.tools.ml.libsvm.doccat.TermWeightingStrategy

Logarithmically normalized term frequency: 1 + log(tf) for terms that appear at least once, 0.0 otherwise.

M

maxArrayLength() - Method in record class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel.DeserializationLimits

Returns the value of the maxArrayLength record component.

maxDepth() - Method in record class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel.DeserializationLimits

Returns the value of the maxDepth record component.

maxRefs() - Method in record class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel.DeserializationLimits

Returns the value of the maxRefs record component.

N

NONE - Enum constant in enum class opennlp.tools.ml.libsvm.doccat.FeatureSelectionStrategy

No feature selection: all features from the vocabulary are used.

O

opennlp.tools.ml.libsvm.doccat - package opennlp.tools.ml.libsvm.doccat

S

scoreMap(String[]) - Method in class opennlp.tools.ml.libsvm.doccat.DocumentCategorizerSVM

serialize(OutputStream) - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel

Serializes this model to the given OutputStream using Java object serialization.

setFeatureSelectionStrategy(FeatureSelectionStrategy) - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatConfiguration.Builder

Sets the feature selection strategy.

setMaxFeatures(int) - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatConfiguration.Builder

Sets the maximum number of features to retain after feature selection.

setScaleFeatures(boolean) - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatConfiguration.Builder

Sets whether feature values should be scaled to the range [lower, upper].

setScaleRange(double, double) - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatConfiguration.Builder

Sets the lower and upper bounds of the feature scaling range.

setSvmConfiguration(SvmConfiguration) - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatConfiguration.Builder

Sets the underlying SVM configuration.

setTermWeightingStrategy(TermWeightingStrategy) - Method in class opennlp.tools.ml.libsvm.doccat.SvmDoccatConfiguration.Builder

Sets the term weighting strategy.

sortedScoreMap(String[]) - Method in class opennlp.tools.ml.libsvm.doccat.DocumentCategorizerSVM

SvmDoccatConfiguration - Class in opennlp.tools.ml.libsvm.doccat

Configuration for SVM-based document categorization, combining the underlying SVM classifier settings with text-specific parameters for term weighting, feature selection, and feature scaling.

SvmDoccatConfiguration.Builder - Class in opennlp.tools.ml.libsvm.doccat

A builder for SvmDoccatConfiguration.

SvmDoccatModel - Class in opennlp.tools.ml.libsvm.doccat

A model for SVM-based document categorization.

SvmDoccatModel.DeserializationLimits - Record Class in opennlp.tools.ml.libsvm.doccat

Resource limits applied to the ObjectInputFilter used by SvmDoccatModel.deserialize(InputStream, DeserializationLimits).

T

TERM_FREQUENCY - Enum constant in enum class opennlp.tools.ml.libsvm.doccat.FeatureSelectionStrategy

Term Frequency based feature selection: features are ranked by their total occurrence count across all documents in the corpus, and only the top-k features are retained.

TERM_FREQUENCY - Enum constant in enum class opennlp.tools.ml.libsvm.doccat.TermWeightingStrategy

Raw term frequency: the number of times a term occurs in a document.

TermWeightingStrategy - Enum Class in opennlp.tools.ml.libsvm.doccat

Defines strategies for weighting term features in SVM-based text classification.

TF_IDF - Enum constant in enum class opennlp.tools.ml.libsvm.doccat.TermWeightingStrategy

TF-IDF (Term Frequency - Inverse Document Frequency): tf * log(N / df), where N is the total number of documents and df is the number of documents containing the term.

toString() - Method in record class opennlp.tools.ml.libsvm.doccat.SvmDoccatModel.DeserializationLimits

Returns a string representation of this record class.

train(String, ObjectStream<DocumentSample>, FeatureGenerator...) - Static method in class opennlp.tools.ml.libsvm.doccat.DocumentCategorizerSVM

Trains an SVM-based document categorization model using default configuration (TF-IDF weighting, no feature selection, scaling to [0, 1]).

train(String, ObjectStream<DocumentSample>, SvmDoccatConfiguration, FeatureGenerator...) - Static method in class opennlp.tools.ml.libsvm.doccat.DocumentCategorizerSVM

Trains an SVM-based document categorization model with a custom configuration.

V

valueOf(String) - Static method in enum class opennlp.tools.ml.libsvm.doccat.FeatureSelectionStrategy

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.ml.libsvm.doccat.TermWeightingStrategy

Returns the enum constant of this class with the specified name.

values() - Static method in enum class opennlp.tools.ml.libsvm.doccat.FeatureSelectionStrategy

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.ml.libsvm.doccat.TermWeightingStrategy

Returns an array containing the constants of this enum class, in the order they are declared.

W

weight(int, double) - Method in enum class opennlp.tools.ml.libsvm.doccat.TermWeightingStrategy

Computes the feature weight for a term.

B C D E F G H I L M N O S T V W
All Classes and Interfaces|All Packages|Serialized Form