Index

A B C D E F G H I L M N O S T
All Classes and Interfaces|All Packages|Constant Field Values

A

AbstractDL - Class in opennlp.dl

Base class for OpenNLP deep-learning classes using ONNX Runtime.

AbstractDL() - Constructor for class opennlp.dl.AbstractDL

ATTENTION_MASK - Static variable in class opennlp.dl.AbstractDL

AverageClassificationScoringStrategy - Class in opennlp.dl.doccat.scoring

A ClassificationScoringStrategy which calculates the document classification scores by averaging the scores for all individual parts of a document.

AverageClassificationScoringStrategy() - Constructor for class opennlp.dl.doccat.scoring.AverageClassificationScoringStrategy

B

B_PER - Static variable in class opennlp.dl.namefinder.NameFinderDL

C

categorize(String[]) - Method in class opennlp.dl.doccat.DocumentCategorizerDL

categorize(String[], Map<String, Object>) - Method in class opennlp.dl.doccat.DocumentCategorizerDL

characterEnd() - Method in record class opennlp.dl.SpanEnd

Returns the value of the characterEnd record component.

ClassificationScoringStrategy - Interface in opennlp.dl.doccat.scoring

Used to determine the scores of document classification.

clearAdaptiveData() - Method in class opennlp.dl.namefinder.NameFinderDL

close() - Method in class opennlp.dl.AbstractDL

Closes this resource, relinquishing any underlying resources.

D

DocumentCategorizerConfig - Record Class in opennlp.dl.doccat

DocumentCategorizerConfig(Map<String, String>) - Constructor for record class opennlp.dl.doccat.DocumentCategorizerConfig

Creates an instance of a DocumentCategorizerConfig record class.

DocumentCategorizerDL - Class in opennlp.dl.doccat

An implementation of DocumentCategorizer that performs document classification using ONNX models.

DocumentCategorizerDL(File, File, File, ClassificationScoringStrategy, InferenceOptions) - Constructor for class opennlp.dl.doccat.DocumentCategorizerDL

Instantiates a document categorizer using ONNX models.

DocumentCategorizerDL(File, File, Map<Integer, String>, ClassificationScoringStrategy, InferenceOptions) - Constructor for class opennlp.dl.doccat.DocumentCategorizerDL

Instantiates a document categorizer using ONNX models.

E

equals(Object) - Method in record class opennlp.dl.doccat.DocumentCategorizerConfig

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

equals(Object) - Method in record class opennlp.dl.SpanEnd

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

equals(Object) - Method in record class opennlp.dl.Tokens

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

F

find(String[]) - Method in class opennlp.dl.namefinder.NameFinderDL

fromJson(String) - Static method in record class opennlp.dl.doccat.DocumentCategorizerConfig

G

getAllResults(double[]) - Method in class opennlp.dl.doccat.DocumentCategorizerDL

getBestCategory(double[]) - Method in class opennlp.dl.doccat.DocumentCategorizerDL

getCategory(int) - Method in class opennlp.dl.doccat.DocumentCategorizerDL

getDocumentSplitSize() - Method in class opennlp.dl.InferenceOptions

getGpuDeviceId() - Method in class opennlp.dl.InferenceOptions

getIndex(String) - Method in class opennlp.dl.doccat.DocumentCategorizerDL

getNumberOfCategories() - Method in class opennlp.dl.doccat.DocumentCategorizerDL

getSplitOverlapSize() - Method in class opennlp.dl.InferenceOptions

getVectors(String) - Method in class opennlp.dl.vectors.SentenceVectorsDL

Generates vectors given a sentence.

H

hashCode() - Method in record class opennlp.dl.doccat.DocumentCategorizerConfig

Returns a hash code value for this object.

hashCode() - Method in record class opennlp.dl.SpanEnd

Returns a hash code value for this object.

hashCode() - Method in record class opennlp.dl.Tokens

Returns a hash code value for this object.

I

I_PER - Static variable in class opennlp.dl.namefinder.NameFinderDL

id2label() - Method in record class opennlp.dl.doccat.DocumentCategorizerConfig

Returns the value of the id2label record component.

ids() - Method in record class opennlp.dl.Tokens

Returns the value of the ids record component.

index() - Method in record class opennlp.dl.SpanEnd

Returns the value of the index record component.

InferenceOptions - Class in opennlp.dl

InferenceOptions() - Constructor for class opennlp.dl.InferenceOptions

INPUT_IDS - Static variable in class opennlp.dl.AbstractDL

isGpu() - Method in class opennlp.dl.InferenceOptions

isIncludeAttentionMask() - Method in class opennlp.dl.InferenceOptions

isIncludeTokenTypeIds() - Method in class opennlp.dl.InferenceOptions

L

loadVocab(File) - Method in class opennlp.dl.AbstractDL

Loads a vocabulary File from disk.

M

mask() - Method in record class opennlp.dl.Tokens

Returns the value of the mask record component.

N

NameFinderDL - Class in opennlp.dl.namefinder

An implementation of TokenNameFinder that uses ONNX models.

NameFinderDL(File, File, Map<Integer, String>, InferenceOptions, SentenceDetector) - Constructor for class opennlp.dl.namefinder.NameFinderDL

Instantiates a name finder using ONNX models.

NameFinderDL(File, File, Map<Integer, String>, SentenceDetector) - Constructor for class opennlp.dl.namefinder.NameFinderDL

Instantiates a name finder using ONNX models.

O

opennlp.dl - package opennlp.dl

opennlp.dl.doccat - package opennlp.dl.doccat

opennlp.dl.doccat.scoring - package opennlp.dl.doccat.scoring

opennlp.dl.namefinder - package opennlp.dl.namefinder

opennlp.dl.vectors - package opennlp.dl.vectors

S

score(List<double[]>) - Method in class opennlp.dl.doccat.scoring.AverageClassificationScoringStrategy

score(List<double[]>) - Method in interface opennlp.dl.doccat.scoring.ClassificationScoringStrategy

Calculate the final scores based on the scores of the individual document parts.

scoreMap(String[]) - Method in class opennlp.dl.doccat.DocumentCategorizerDL

SentenceVectorsDL - Class in opennlp.dl.vectors

Facilitates the generation of sentence vectors using a sentence-transformers model converted to ONNX.

SentenceVectorsDL(File, File) - Constructor for class opennlp.dl.vectors.SentenceVectorsDL

Instantiates a sentence detector using ONNX models.

SEPARATOR - Static variable in class opennlp.dl.namefinder.NameFinderDL

setDocumentSplitSize(int) - Method in class opennlp.dl.InferenceOptions

setGpu(boolean) - Method in class opennlp.dl.InferenceOptions

setGpuDeviceId(int) - Method in class opennlp.dl.InferenceOptions

setIncludeAttentionMask(boolean) - Method in class opennlp.dl.InferenceOptions

setIncludeTokenTypeIds(boolean) - Method in class opennlp.dl.InferenceOptions

setSplitOverlapSize(int) - Method in class opennlp.dl.InferenceOptions

sortedScoreMap(String[]) - Method in class opennlp.dl.doccat.DocumentCategorizerDL

SpanEnd - Record Class in opennlp.dl

SpanEnd(int, int) - Constructor for record class opennlp.dl.SpanEnd

Creates an instance of a SpanEnd record class.

T

TOKEN_TYPE_IDS - Static variable in class opennlp.dl.AbstractDL

tokens() - Method in record class opennlp.dl.Tokens

Returns the value of the tokens record component.

Tokens - Record Class in opennlp.dl

Holds the tokens for input to an ONNX model.

Tokens(String[], long[], long[], long[]) - Constructor for record class opennlp.dl.Tokens

Creates an instance of a Tokens record class.

toString() - Method in record class opennlp.dl.doccat.DocumentCategorizerConfig

Returns a string representation of this record class.

toString() - Method in record class opennlp.dl.SpanEnd

Returns a string representation of this record class.

toString() - Method in record class opennlp.dl.Tokens

Returns a string representation of this record class.

types() - Method in record class opennlp.dl.Tokens

Returns the value of the types record component.

A B C D E F G H I L M N O S T
All Classes and Interfaces|All Packages|Constant Field Values