Index

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 | Z

A

action (DocumentNormalizer attribute), [1] activation (HasClassifierActivationProperties attribute), [1] addAssistant (PromptAssembler attribute), [1] addAttachmentContent (HasEmailReaderProperties attribute), [1] addContextChars() (Tokenizer method), [1] addException() (Tokenizer method), [1] addInfixPattern() (Tokenizer method), [1] addRegexClass() (ContextSpellCheckerApproach method), [1] addSplitChars() (Tokenizer method), [1] (TokenizerModel method), [1] addVocabClass() (ContextSpellCheckerApproach method), [1] aggregationMethod (DocumentSimilarityRankerApproach attribute), [1] aggressiveMatching (DateMatcherUtils attribute), [1] AlbertEmbeddings (class in sparknlp.annotator.embeddings.albert_embeddings), [1] AlbertForMultipleChoice (class in sparknlp.annotator.classifier_dl.albert_for_multiple_choice), [1] AlbertForQuestionAnswering (class in sparknlp.annotator.classifier_dl.albert_for_question_answering), [1] AlbertForSequenceClassification (class in sparknlp.annotator.classifier_dl.albert_for_sequence_classification), [1] AlbertForTokenClassification (class in sparknlp.annotator.classifier_dl.albert_for_token_classification), [1] AlbertForZeroShotClassification (class in sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification), [1] alphabet (EntityRulerApproach attribute), [1] ambiguityThreshold (WordSegmenterApproach attribute), [1] anchorDateDay (DateMatcherUtils attribute), [1] anchorDateMonth (DateMatcherUtils attribute), [1] anchorDateYear (DateMatcherUtils attribute), [1] annotate() (LightPipeline method), [1] (PretrainedPipeline method), [1]

Annotation (class in sparknlp.annotation), [1] AnnotationAudio (class in sparknlp.annotation_audio), [1] AnnotationImage (class in sparknlp.annotation_image), [1] annotationSplitSymbol (Finisher attribute), [1] AnnotatorApproach (class in sparknlp.common.annotator_approach), [1] AnnotatorJavaMLReadable (class in sparknlp.internal.annotator_java_ml), [1] AnnotatorJavaMLReader (class in sparknlp.internal.annotator_java_ml), [1] AnnotatorModel (class in sparknlp.common.annotator_model), [1] AnnotatorProperties (class in sparknlp.common.annotator_properties), [1] annotators (in module sparknlp) (in module sparknlp.annotator) AnnotatorTransformer (class in sparknlp.internal.annotator_transformer), [1] annotatorType (Annotation attribute) (AnnotationAudio attribute) (AnnotationImage attribute) AnnotatorType (class in sparknlp.common.annotator_type), [1] appendCells (HasExcelReaderProperties attribute), [1] apply() (ExtendedJavaWrapper method), [1] arrayType() (Annotation static method), [1] asRetriever() (DocumentSimilarityRankerApproach method), [1] asRetrieverQuery (DocumentSimilarityRankerApproach attribute), [1] AUDIO (AnnotatorType attribute), [1] audio (in module sparknlp.annotator) AudioAssembler (class in sparknlp.base.audio_assembler), [1] AutoGGUFEmbeddings (class in sparknlp.annotator.embeddings.auto_gguf_embeddings), [1] AutoGGUFModel (class in sparknlp.annotator.seq2seq.auto_gguf_model), [1] AutoGGUFVisionModel (class in sparknlp.annotator.seq2seq.auto_gguf_vision_model), [1]

B

BartForZeroShotClassification (class in sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification), [1] BartTransformer (class in sparknlp.annotator.seq2seq.bart_transformer), [1] batchSize (ClassifierEncoder attribute), [1] (ContextSpellCheckerApproach attribute), [1] (ElmoEmbeddings attribute), [1] (Florence2Transformer attribute), [1] (HasBatchedAnnotate attribute), [1] (HasBatchedAnnotateAudio attribute), [1] (HasBatchedAnnotateImage attribute), [1] (NerDLApproach attribute), [1] beamSize (BartTransformer attribute), [1] (CoHereTransformer attribute), [1] (Florence2Transformer attribute), [1] (Gemma3ForMultiModal attribute), [1] (HasGeneratorProperties attribute), [1] (InternVLForMultiModal attribute), [1] (JanusForMultiModal attribute), [1] (LLAMA3Transformer attribute), [1] (LLAVAForMultiModal attribute), [1] (M2M100Transformer attribute), [1] (MLLamaForMultimodal attribute), [1] (NLLBTransformer attribute), [1] (PaliGemmaForMultiModal attribute), [1] (Phi3Vision attribute), [1] (Qwen2VLTransformer attribute), [1] (SmolVLMTransformer attribute), [1]

begin (Annotation attribute) BertEmbeddings (class in sparknlp.annotator.embeddings.bert_embeddings), [1] BertForMultipleChoice (class in sparknlp.annotator.classifier_dl.bert_for_multiple_choice), [1] BertForQuestionAnswering (class in sparknlp.annotator.classifier_dl.bert_for_question_answering), [1] BertForSequenceClassification (class in sparknlp.annotator.classifier_dl.bert_for_sequence_classification), [1] BertForTokenClassification (class in sparknlp.annotator.classifier_dl.bert_for_token_classification), [1] BertForZeroShotClassification (class in sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification), [1] BertSentenceEmbeddings (class in sparknlp.annotator.embeddings.bert_sentence_embeddings), [1] bestModelMetric (NerDLApproach attribute), [1] bestOf (OpenAICompletion attribute), [1] BGEEmbeddings (class in sparknlp.annotator.embeddings.bge_embeddings), [1] BigTextMatcher (class in sparknlp.annotator.matcher.big_text_matcher), [1] BigTextMatcherModel (class in sparknlp.annotator.matcher.big_text_matcher), [1] BINARY (ReadAs attribute), [1] BLIPForQuestionAnswering (class in sparknlp.annotator.cv.blip_for_question_answering), [1] bucketLength (DocumentSimilarityRankerApproach attribute), [1] buildFromTokens (TextMatcher attribute), [1] (TextMatcherModel attribute), [1] bullets (Cleaner attribute), [1]

C

c0 (NerCrfApproach attribute), [1] cachePrompt (HasLlamaCppProperties attribute), [1] CamemBertEmbeddings (class in sparknlp.annotator.embeddings.camembert_embeddings), [1] CamemBertForQuestionAnswering (class in sparknlp.annotator.classifier_dl.camembert_for_question_answering), [1] CamemBertForSequenceClassification (class in sparknlp.annotator.classifier_dl.camembert_for_sequence_classification), [1] CamemBertForTokenClassification (class in sparknlp.annotator.classifier_dl.camembert_for_token_classification), [1] CamemBertForZeroShotClassification (class in sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification), [1] candidateLabels (HasCandidateLabelsProperties attribute), [1] caseSensitive (BigTextMatcher attribute), [1] (BigTextMatcherModel attribute), [1] (HasCaseSensitiveProperties attribute), [1] (NorvigSweetingApproach attribute), [1] (StopWordsCleaner attribute), [1] (TextMatcher attribute), [1] caseSensitiveExceptions (Tokenizer attribute), [1] (TokenizerModel attribute), [1] caseStrategy (ContextSpellCheckerApproach attribute), [1] (ContextSpellCheckerModel attribute), [1] CATEGORY (AnnotatorType attribute), [1] cellSeparator (HasExcelReaderProperties attribute), [1] chatTemplate (HasLlamaCppProperties attribute), [1] (PromptAssembler attribute), [1] check_for_required_info() (PushToHub method), [1] choicesDelimiter (AlbertForMultipleChoice attribute), [1] (BertForMultipleChoice attribute), [1] (DistilBertForMultipleChoice attribute), [1] (RoBertaForMultipleChoice attribute), [1] CHUNK (AnnotatorType attribute), [1] Chunk2Doc (class in sparknlp.annotator.chunk2_doc), [1] chunkCol (Doc2Chunk attribute), [1] ChunkEmbeddings (class in sparknlp.annotator.embeddings.chunk_embeddings), [1] Chunker (class in sparknlp.annotator.chunker), [1] chunkingStrategy (HasChunkerProperties attribute), [1] chunkOverlap (DocumentCharacterTextSplitter attribute), [1] chunkSize (DocumentCharacterTextSplitter attribute), [1] ChunkTokenizer (class in sparknlp.annotator.token.chunk_tokenizer), [1] ChunkTokenizerModel (class in sparknlp.annotator.token.chunk_tokenizer), [1] classCount (ContextSpellCheckerApproach attribute), [1] classes (ClassifierDLModel attribute), [1] (ContextSpellCheckerModel attribute), [1] (MultiClassifierDLModel attribute), [1] (NerDLModel attribute), [1] (SentimentDLModel attribute), [1] classifier (in module sparknlp.annotator) ClassifierDLApproach (class in sparknlp.annotator.classifier_dl.classifier_dl), [1] ClassifierDLModel (class in sparknlp.annotator.classifier_dl.classifier_dl), [1] ClassifierEncoder (class in sparknlp.annotator.param.classifier_encoder), [1] cleanAnnotations (EmbeddingsFinisher attribute), [1] (Finisher attribute), [1] (GraphFinisher attribute), [1] Cleaner (class in sparknlp.annotator.cleaners.cleaner), [1] cleanerMode (Cleaner attribute), [1] cleanPostfixPattern (Cleaner attribute), [1] cleanPrefixPattern (Cleaner attribute), [1] cleanupMode (DocumentAssembler attribute), [1] (MultiDocumentAssembler attribute), [1] cleanupPatterns (Normalizer attribute), [1] (NormalizerModel attribute), [1] clearCache() (ResourceDownloader static method), [1] CLIPForZeroShotClassification (class in sparknlp.annotator.cv.clip_for_zero_shot_classification), [1] coalesceSentences (AlbertForQuestionAnswering attribute), [1] (AlbertForSequenceClassification attribute), [1] (AlbertForZeroShotClassification attribute), [1] (BartForZeroShotClassification attribute), [1] (BertForQuestionAnswering attribute), [1] (BertForSequenceClassification attribute), [1] (BertForZeroShotClassification attribute), [1] (CamemBertForQuestionAnswering attribute), [1] (CamemBertForSequenceClassification attribute), [1] (CamemBertForZeroShotClassification attribute), [1] (DeBertaForQuestionAnswering attribute), [1] (DeBertaForSequenceClassification attribute), [1] (DeBertaForZeroShotClassification attribute), [1] (DistilBertForQuestionAnswering attribute), [1] (DistilBertForSequenceClassification attribute), [1] (DistilBertForZeroShotClassification attribute), [1] (LanguageDetectorDL attribute), [1] (LongformerForQuestionAnswering attribute), [1] (LongformerForSequenceClassification attribute), [1] (MPNetForSequenceClassification attribute), [1] (RoBertaForQuestionAnswering attribute), [1] (RoBertaForSequenceClassification attribute), [1] (RoBertaForZeroShotClassification attribute), [1] (XlmRoBertaForQuestionAnswering attribute), [1] (XlmRoBertaForSequenceClassification attribute), [1] (XlmRoBertaForZeroShotClassification attribute), [1] (XlnetForSequenceClassification attribute), [1] CoHereTransformer (class in sparknlp.annotator.seq2seq.cohere_transformer), [1] combineTextUnderNChars (HasChunkerProperties attribute), [1] comet_ml (in module sparknlp.logging.comet) comet_mode (CometLogger attribute) CometLogger (class in sparknlp.logging.comet), [1] compareLowcase (ContextSpellCheckerModel attribute), [1] compoundCount (ContextSpellCheckerApproach attribute), [1] configProtoBytes (AlbertEmbeddings attribute), [1] (AlbertForQuestionAnswering attribute), [1] (AlbertForSequenceClassification attribute), [1] (AlbertForTokenClassification attribute), [1] (AlbertForZeroShotClassification attribute), [1] (BartForZeroShotClassification attribute), [1] (BartTransformer attribute), [1] (BertEmbeddings attribute), [1] (BertForQuestionAnswering attribute), [1] (BertForSequenceClassification attribute), [1] (BertForTokenClassification attribute), [1] (BertForZeroShotClassification attribute), [1] (BertSentenceEmbeddings attribute), [1] (BGEEmbeddings attribute), [1] (BLIPForQuestionAnswering attribute), [1] (CamemBertEmbeddings attribute), [1] (CamemBertForQuestionAnswering attribute), [1] (CamemBertForSequenceClassification attribute), [1] (CamemBertForTokenClassification attribute), [1] (CamemBertForZeroShotClassification attribute), [1] (ClassifierDLModel attribute), [1] (ClassifierEncoder attribute), [1] (CLIPForZeroShotClassification attribute), [1] (CoHereTransformer attribute), [1] (ContextSpellCheckerApproach attribute), [1] (ContextSpellCheckerModel attribute), [1] (ConvNextForImageClassification attribute), [1] (CPMTransformer attribute), [1] (DeBertaEmbeddings attribute), [1] (DeBertaForQuestionAnswering attribute), [1] (DeBertaForSequenceClassification attribute), [1] (DeBertaForTokenClassification attribute), [1] (DeBertaForZeroShotClassification attribute), [1] (DistilBertEmbeddings attribute), [1] (DistilBertForQuestionAnswering attribute), [1] (DistilBertForSequenceClassification attribute), [1] (DistilBertForTokenClassification attribute), [1] (DistilBertForZeroShotClassification attribute), [1] (E5Embeddings attribute), [1] (ElmoEmbeddings attribute), [1] (Gemma3ForMultiModal attribute), [1] (GPT2Transformer attribute), [1] (HubertForCTC attribute), [1] (InstructorEmbeddings attribute), [1] (JanusForMultiModal attribute), [1] (LanguageDetectorDL attribute), [1] (LLAMA2Transformer attribute), [1] (LLAMA3Transformer attribute), [1] (LLAVAForMultiModal attribute), [1] (LongformerEmbeddings attribute), [1] (LongformerForQuestionAnswering attribute), [1] (LongformerForSequenceClassification attribute), [1] (LongformerForTokenClassification attribute), [1] (M2M100Transformer attribute), [1] (MarianTransformer attribute), [1] (MiniLMEmbeddings attribute), [1] (MistralTransformer attribute), [1] (MLLamaForMultimodal attribute), [1] (MPNetEmbeddings attribute), [1] (MPNetForTokenClassification attribute), [1] (MultiClassifierDLModel attribute), [1] (NerDLApproach attribute), [1] (NerDLModel attribute), [1] (NLLBTransformer attribute), [1] (NomicEmbeddings attribute), [1] (OLMoTransformer attribute), [1] (Phi2Transformer attribute), [1] (Phi3Transformer attribute), [1] (Phi3Vision attribute), [1] (Qwen2VLTransformer attribute), [1] (QwenTransformer attribute), [1] (RoBertaEmbeddings attribute), [1] (RoBertaForQuestionAnswering attribute), [1] (RoBertaForSequenceClassification attribute), [1] (RoBertaForTokenClassification attribute), [1] (RoBertaForZeroShotClassification attribute), [1] (RoBertaSentenceEmbeddings attribute), [1] (SentimentDLModel attribute), [1] (SpanBertCorefModel attribute), [1] (StarCoderTransformer attribute), [1] (SwinForImageClassification attribute), [1] (T5Transformer attribute), [1] (UniversalSentenceEncoder attribute), [1] (VisionEncoderDecoderForImageCaptioning attribute), [1] (ViTForImageClassification attribute), [1] (Wav2Vec2ForCTC attribute), [1] (WhisperForCTC attribute), [1] (XlmRoBertaEmbeddings attribute), [1] (XlmRoBertaForQuestionAnswering attribute), [1] (XlmRoBertaForSequenceClassification attribute), [1] (XlmRoBertaForTokenClassification attribute), [1] (XlmRoBertaForZeroShotClassification attribute), [1] (XlmRoBertaSentenceEmbeddings attribute), [1] (XlnetEmbeddings attribute), [1] (XlnetForSequenceClassification attribute), [1] (XlnetForTokenClassification attribute), [1]

CoNLL (class in sparknlp.training.conll), [1] conll2009 (TypedDependencyParserApproach attribute), [1] conllFormat (TypedDependencyParserModel attribute), [1] CoNLLGenerator (class in sparknlp.util), [1] CoNLLU (class in sparknlp.training.conllu), [1] conllU (DependencyParserApproach attribute), [1] (TypedDependencyParserApproach attribute), [1] contentPath (PartitionTransformer attribute), [1] contentType (PartitionTransformer attribute), [1] contextChars (Tokenizer attribute), [1] ContextSpellCheckerApproach (class in sparknlp.annotator.spell_check.context_spell_checker), [1] ContextSpellCheckerModel (class in sparknlp.annotator.spell_check.context_spell_checker), [1] contradictionIdParam (HasCandidateLabelsProperties attribute), [1] ConvNextForImageClassification (class in sparknlp.annotator.cv.convnext_for_image_classification), [1] copy() (Annotation method), [1] (AnnotationAudio method), [1] (AnnotationImage method), [1] coref (in module sparknlp.annotator) corpus (SymmetricDeleteApproach attribute), [1] correctSymbols (ContextSpellCheckerModel attribute), [1] CoverageResult (class in sparknlp.common.coverage_result), [1] covered (CoverageResult attribute) CPMTransformer (class in sparknlp.annotator.seq2seq.cpm_transformer), [1] create_docs() (PushToHub method), [1] cropPct (ConvNextForImageClassification attribute), [1] csvDelimiter (TableAssembler attribute), [1] customBounds (SentenceDetectorDLModel attribute), [1] (SentenceDetectorParams attribute), [1] customBoundsStrategy (SentenceDetectorParams attribute), [1] cv (in module sparknlp.annotator)

D

dashes (Cleaner attribute), [1] database (EntityRulerModel attribute), [1] databases (BigTextMatcherModel attribute), [1] (WordEmbeddingsModel attribute), [1] DataFrameOptimizer (class in sparknlp.annotator.dataframe_optimizer), [1] dataType() (Annotation static method), [1] DATE (AnnotatorType attribute), [1] Date2Chunk (class in sparknlp.annotator.date2_chunk), [1] DateMatcher (class in sparknlp.annotator.matcher.date_matcher), [1] DateMatcherUtils (class in sparknlp.annotator.matcher.date_matcher), [1] DeBertaEmbeddings (class in sparknlp.annotator.embeddings.deberta_embeddings), [1] DeBertaForQuestionAnswering (class in sparknlp.annotator.classifier_dl.deberta_for_question_answering), [1] DeBertaForSequenceClassification (class in sparknlp.annotator.classifier_dl.deberta_for_sequence_classification), [1] DeBertaForTokenClassification (class in sparknlp.annotator.classifier_dl.deberta_for_token_classification), [1] DeBertaForZeroShotClassification (class in sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification), [1] decrementMultiplier (SentimentDetector attribute), [1] defaultDayWhenMissing (DateMatcherUtils attribute), [1] defragmentationThreshold (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] deletesThreshold (SymmetricDeleteApproach attribute), [1] delimiter (GraphExtraction attribute), [1] (NGramGenerator attribute), [1] (RegexMatcher attribute), [1] DEPENDENCY (AnnotatorType attribute), [1] DependencyParserApproach (class in sparknlp.annotator.dependency.dependency_parser), [1] DependencyParserModel (class in sparknlp.annotator.dependency.dependency_parser), [1] dependencyParserModel (GraphExtraction attribute), [1] dependencyTreeBank (DependencyParserApproach attribute), [1] detectLists (SentenceDetector attribute), [1] dictionary (Lemmatizer attribute), [1] (NorvigSweetingApproach attribute), [1] (SentimentDetector attribute), [1] (SymmetricDeleteApproach attribute), [1] dictionary_path (NorvigSweetingApproach attribute) (SymmetricDeleteApproach attribute) dimension (HasEmbeddingsProperties attribute), [1] disableTokenIds (HasLlamaCppProperties attribute), [1] DistilBertEmbeddings (class in sparknlp.annotator.embeddings.distil_bert_embeddings), [1] DistilBertForMultipleChoice (class in sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice), [1] DistilBertForQuestionAnswering (class in sparknlp.annotator.classifier_dl.distil_bert_for_question_answering), [1] DistilBertForSequenceClassification (class in sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification), [1] DistilBertForTokenClassification (class in sparknlp.annotator.classifier_dl.distil_bert_for_token_classification), [1] DistilBertForZeroShotClassification (class in sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification), [1] doc() (SparkNLPReader method), [1] Doc2Chunk (class in sparknlp.base.doc2_chunk), [1] Doc2VecApproach (class in sparknlp.annotator.embeddings.doc2vec), [1] Doc2VecModel (class in sparknlp.annotator.embeddings.doc2vec), [1] DOC_SIMILARITY_RANKINGS (AnnotatorType attribute), [1] doCache (DataFrameOptimizer attribute), [1] DOCUMENT (AnnotatorType attribute), [1] DocumentAssembler (class in sparknlp.base.document_assembler), [1]

DocumentCharacterTextSplitter (class in sparknlp.annotator.document_character_text_splitter), [1] DocumentNormalizer (class in sparknlp.annotator.document_normalizer), [1] DocumentSimilarityRankerApproach (class in sparknlp.annotator.similarity.document_similarity_ranker), [1] DocumentSimilarityRankerFinisher (class in sparknlp.annotator.similarity.document_similarity_ranker), [1] DocumentSimilarityRankerModel (class in sparknlp.annotator.similarity.document_similarity_ranker), [1] DocumentTokenSplitter (class in sparknlp.annotator.document_token_splitter), [1] DocumentTokenSplitterTestSpec (class in sparknlp.annotator.document_token_splitter_test) doImageSplitting (SmolVLMTransformer attribute), [1] doNormalize (HasAudioFeatureProperties attribute), [1] (HasImageFeatureProperties attribute), [1] doRescale (ConvNextForImageClassification attribute), [1] (HasRescaleFactor attribute), [1] doResize (HasImageFeatureProperties attribute), [1] doSample (BartTransformer attribute), [1] (CoHereTransformer attribute), [1] (CPMTransformer attribute), [1] (Florence2Transformer attribute), [1] (Gemma3ForMultiModal attribute), [1] (GPT2Transformer attribute), [1] (HasGeneratorProperties attribute), [1] (InternVLForMultiModal attribute), [1] (JanusForMultiModal attribute), [1] (LLAMA2Transformer attribute), [1] (LLAMA3Transformer attribute), [1] (LLAVAForMultiModal attribute), [1] (M2M100Transformer attribute), [1] (MarianTransformer attribute), [1] (MistralTransformer attribute), [1] (MLLamaForMultimodal attribute), [1] (NLLBTransformer attribute), [1] (OLMoTransformer attribute), [1] (PaliGemmaForMultiModal attribute), [1] (Phi2Transformer attribute), [1] (Phi3Transformer attribute), [1] (Phi3Vision attribute), [1] (Qwen2VLTransformer attribute), [1] (QwenTransformer attribute), [1] (SmolVLMTransformer attribute), [1] (StarCoderTransformer attribute), [1] (T5Transformer attribute), [1] doubleVariants (NorvigSweetingApproach attribute), [1] downloadModel() (ResourceDownloader static method), [1] downloadModelDirectly() (ResourceDownloader static method), [1] downloadPipeline() (ResourceDownloader static method), [1] dropout (ClassifierDLApproach attribute), [1] (NerDLApproach attribute), [1] (SentimentDLApproach attribute), [1] DUMMY (AnnotatorType attribute), [1] dupsLimit (NorvigSweetingApproach attribute), [1] (SymmetricDeleteApproach attribute), [1] dynamicTemperatureExponent (HasLlamaCppProperties attribute), [1] dynamicTemperatureRange (HasLlamaCppProperties attribute), [1]

E

E5Embeddings (class in sparknlp.annotator.embeddings.e5_embeddings), [1] E5VEmbeddings (class in sparknlp.annotator.embeddings.e5v_embeddings), [1] echo (OpenAICompletion attribute), [1] ElmoEmbeddings (class in sparknlp.annotator.embeddings.elmo_embeddings), [1] email() (SparkNLPReader method), [1] emailAddress (Extractor attribute), [1] emailDateTimeTzPattern (Extractor attribute), [1] embedding (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] embeddings (Annotation attribute) (in module sparknlp) (in module sparknlp.annotator) EmbeddingsDataFrameUtils (class in sparknlp.util), [1] EmbeddingsFinisher (class in sparknlp.base.embeddings_finisher), [1] emptyImageRow (EmbeddingsDataFrameUtils attribute), [1] enableCaching (HasEnableCachingProperties attribute), [1] enableCumulative (NGramGenerator attribute), [1] enableInMemoryStorage (HasStorageOptions attribute), [1] enableMemoryOptimizer (NerDLApproach attribute), [1] enableOutputLogs (EvaluationDLParams attribute), [1] enableRegexTokenizer (WordSegmenterApproach attribute), [1] (WordSegmenterModel attribute), [1] enableScore (SentimentDetector attribute), [1] encoding (Cleaner attribute), [1] (DocumentNormalizer attribute), [1] end (Annotation attribute) end() (CometLogger method), [1] engine (HasEngine attribute), [1] entailmentIdParam (HasCandidateLabelsProperties attribute), [1] entities (BigTextMatcher attribute), [1] (NerApproach attribute), [1] (TextMatcher attribute), [1] ENTITY (AnnotatorType attribute), [1] entityName (Date2Chunk attribute), [1] EntityRulerApproach (class in sparknlp.annotator.er.entity_ruler), [1]

EntityRulerModel (class in sparknlp.annotator.er.entity_ruler), [1] entityTypes (GraphExtraction attribute), [1] entityValue (TextMatcher attribute), [1] (TextMatcherModel attribute), [1] epochs (ContextSpellCheckerApproach attribute), [1] epochsNumber (SentenceDetectorDLApproach attribute), [1] er (in module sparknlp.annotator) errorThreshold (ContextSpellCheckerApproach attribute), [1] (ContextSpellCheckerModel attribute), [1] escapeCsvDelimiter (TableAssembler attribute), [1] EvaluationDLParams (class in sparknlp.annotator.param.evaluation_dl_params), [1] evaluationLogExtended (EvaluationDLParams attribute), [1] exceptions (Tokenizer attribute), [1] (TokenizerModel attribute), [1] exceptionsPath (Tokenizer attribute), [1] executorCores (DataFrameOptimizer attribute), [1] experiment (CometLogger attribute) experiment_id (CometLogger attribute) experiment_kwargs (CometLogger attribute) explode_annotations_col() (in module sparknlp.functions), [1] explodeEntities (GraphExtraction attribute), [1] explodeSentences (SentenceDetectorDLApproach attribute), [1] (SentenceDetectorDLModel attribute), [1] (SentenceDetectorParams attribute), [1] explodeSplits (DocumentCharacterTextSplitter attribute), [1] (DocumentTokenSplitter attribute), [1] exportConllFiles() (CoNLLGenerator static method), [1] ExtendedJavaWrapper (class in sparknlp.internal.extended_java_wrapper), [1] externalFeatures (NerCrfApproach attribute), [1] ExternalResource() (in module sparknlp.common.utils), [1] externalRules (RegexMatcher attribute), [1] extractCoordinates (PdfToText attribute), [1] extractNearestNeighbor (DocumentSimilarityRankerFinisher attribute), [1] Extractor (class in sparknlp.annotator.cleaners.extractor), [1] extractorMode (Extractor attribute), [1] extraWhitespace (Cleaner attribute), [1]

F

failOnMissing (Doc2Chunk attribute), [1] featureExtractorType (HasImageFeatureProperties attribute), [1] featureLimit (ViveknSentimentApproach attribute), [1] (ViveknSentimentModel attribute), [1] featureSize (HasAudioFeatureProperties attribute), [1] filter_by_annotations_col() (in module sparknlp.functions), [1] finalRate (ContextSpellCheckerApproach attribute), [1] Finisher (class in sparknlp.base.finisher), [1] fit() (RecursiveEstimator method), [1] flashAttention (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] Florence2Transformer (class in sparknlp.annotator.cv.florence2_transformer), [1]

formCol (Lemmatizer attribute), [1] frequencyPenalty (HasLlamaCppProperties attribute), [1] (OpenAICompletion attribute), [1] frequencyPriority (NorvigSweetingApproach attribute), [1] frequencyThreshold (SymmetricDeleteApproach attribute), [1] (WordSegmenterApproach attribute), [1] from_disk() (PretrainedPipeline static method), [1] fromRow() (Annotation static method), [1] fullAnnotate() (LightPipeline method), [1] (PretrainedPipeline method), [1] fullAnnotateImage() (LightPipeline method), [1] (PretrainedPipeline method), [1]

G

gamma (ContextSpellCheckerModel attribute), [1] Gemma3ForMultiModal (class in sparknlp.annotator.cv.gemma3_for_multimodal), [1] get_config_path() (in module sparknlp.util), [1] getActivation() (HasClassifierActivationProperties method), [1] getAddAttachmentContent() (HasEmailReaderProperties method), [1] getAmbiguityThreshold() (WordSegmenterApproach method), [1] getAppendCells() (HasExcelReaderProperties method), [1] getBatchSize() (HasBatchedAnnotate method), [1] (HasBatchedAnnotateAudio method), [1] (HasBatchedAnnotateImage method), [1] getCandidateLabels() (CLIPForZeroShotClassification method), [1] getCaseSensitive() (HasCaseSensitiveProperties method), [1] getCaseSensitiveExceptions() (Tokenizer method), [1] getCellSeparator() (HasExcelReaderProperties method), [1] getClasses() (AlbertForSequenceClassification method), [1] (AlbertForTokenClassification method), [1] (AlbertForZeroShotClassification method), [1] (BartForZeroShotClassification method), [1] (BertForSequenceClassification method), [1] (BertForTokenClassification method), [1] (BertForZeroShotClassification method), [1] (CamemBertForSequenceClassification method), [1] (CamemBertForTokenClassification method), [1] (CamemBertForZeroShotClassification method), [1] (ConvNextForImageClassification method), [1] (DeBertaForSequenceClassification method), [1] (DeBertaForTokenClassification method), [1] (DeBertaForZeroShotClassification method), [1] (DistilBertForSequenceClassification method), [1] (DistilBertForTokenClassification method), [1] (DistilBertForZeroShotClassification method), [1] (LongformerForSequenceClassification method), [1] (LongformerForTokenClassification method), [1] (MPNetForSequenceClassification method), [1] (MPNetForTokenClassification method), [1] (RoBertaForSequenceClassification method), [1] (RoBertaForTokenClassification method), [1] (RoBertaForZeroShotClassification method), [1] (SwinForImageClassification method), [1] (ViTForImageClassification method), [1] (XlmRoBertaForSequenceClassification method), [1] (XlmRoBertaForTokenClassification method), [1] (XlmRoBertaForZeroShotClassification method), [1] (XlnetForSequenceClassification method), [1] (XlnetForTokenClassification method), [1] (ZeroShotNerModel method), [1] getContentPath() (PartitionTransformer method), [1] getContentType() (PartitionTransformer method), [1] getContextChars() (Tokenizer method), [1] getDataFrame() (ExtendedJavaWrapper method), [1] getDimension() (HasEmbeddingsProperties method), [1] getEnableCaching() (HasEnableCachingProperties method), [1] getEnableInMemoryStorage() (HasStorageOptions method), [1] getEngine() (HasEngine method), [1] getExceptions() (Tokenizer method), [1] getFrequencyThreshold() (WordSegmenterApproach method), [1] getGraphFile() (TFNerDLGraphBuilder method), [1] getGraphFolder() (TFNerDLGraphBuilder method), [1] getGroupBrokenParagraphs() (HasTextReaderProperties method), [1] getHiddenUnitsNumber() (TFNerDLGraphBuilder method), [1] getIgnoreUnsupported() (LightPipeline method), [1] getIncludePageBreaks() (PartitionTransformer method), [1]

getIncludeSlideNotes() (HasPowerPointProperties method), [1] getIncludeStorage() (HasStorageOptions method), [1] getInferTableStructure() (PartitionTransformer method), [1] getInfixPatterns() (Tokenizer method), [1] getInputCols() (AnnotatorProperties method), [1] (DocumentSimilarityRankerFinisher method), [1] (EmbeddingsFinisher method), [1] (Finisher method), [1] (TFNerDLGraphBuilder method), [1] getIsMultilingual() (WhisperForCTC method), [1] getLabelColumn() (NerApproach method), [1] (TFNerDLGraphBuilder method), [1] getLanguage() (WhisperForCTC method), [1] getLazyAnnotator() (AnnotatorProperties method), [1] getMaxLineCount() (HasTextReaderProperties method), [1] getMaxSentenceLength() (HasMaxSentenceLengthLimit method), [1] getMetadata() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] getMultilabel() (HasClassifierActivationProperties method), [1] getNIterations() (PerceptronApproach method), [1] (WordSegmenterApproach method), [1] getOutputCol() (AnnotatorProperties method), [1] (AudioAssembler method), [1] (DocumentAssembler method), [1] (ImageAssembler method), [1] getOutputCols() (DocumentSimilarityRankerFinisher method), [1] (EmbeddingsFinisher method), [1] (Finisher method), [1] (MultiDocumentAssembler method), [1] getParagraphSplit() (HasTextReaderProperties method), [1] getParamValue() (ParamsGettersSetters method), [1] getPrefixPattern() (Tokenizer method), [1] getShortLineWordThreshold() (HasTextReaderProperties method), [1] getSplitChars() (Tokenizer method), [1] getStopWords() (YakeKeywordExtraction method), [1] getStoragePath() (HasStorage method), [1] getStorageRef() (HasStorageRef method), [1] getStoreContent() (PartitionTransformer method), [1] getSuffixPattern() (Tokenizer method), [1] getter_attrs (ParamsGettersSetters attribute), [1] getThreshold() (HasTextReaderProperties method), [1] getTimeout() (HasHTMLReaderProperties method), [1] getTitleFontSize() (PartitionTransformer method), [1] getTitleLengthSize() (HasTextReaderProperties method), [1] getUseCLSToken() (HasClsTokenProperties method), [1] getVectors() (Doc2VecModel method), [1] (Word2VecModel method), [1] getWordClasses() (ContextSpellCheckerModel method), [1] GPT2Transformer (class in sparknlp.annotator.seq2seq.gpt2_transformer), [1] gpuSplitMode (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] grammar (HasLlamaCppProperties attribute), [1] GraphExtraction (class in sparknlp.annotator.graph_extraction), [1] graphFile (TFNerDLGraphBuilder attribute), [1] GraphFinisher (class in sparknlp.base.graph_finisher), [1] graphFolder (ContextSpellCheckerApproach attribute), [1] (NerDLApproach attribute), [1] (TFNerDLGraphBuilder attribute), [1] groupBrokenParagraphs (HasTextReaderProperties attribute), [1] grpAttnN (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] grpAttnW (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1]

H

HasAudioFeatureProperties (class in sparknlp.common.properties), [1] HasBatchedAnnotate (class in sparknlp.common.properties), [1] HasBatchedAnnotateAudio (class in sparknlp.common.properties), [1] HasBatchedAnnotateImage (class in sparknlp.common.properties), [1] HasCandidateLabelsProperties (class in sparknlp.common.properties), [1] HasCaseSensitiveProperties (class in sparknlp.common.properties), [1] HasChunkerProperties (class in sparknlp.partition.partition_properties), [1] HasClassifierActivationProperties (class in sparknlp.common.properties), [1] HasClsTokenProperties (class in sparknlp.common.properties), [1] HasEmailReaderProperties (class in sparknlp.partition.partition_properties), [1] HasEmbeddingsProperties (class in sparknlp.common.properties), [1] HasEnableCachingProperties (class in sparknlp.common.properties), [1] HasEngine (class in sparknlp.common.properties), [1] HasExcelReaderProperties (class in sparknlp.partition.partition_properties), [1] HasGeneratorProperties (class in sparknlp.common.properties), [1] HasHTMLReaderProperties (class in sparknlp.partition.partition_properties), [1]

HasImageFeatureProperties (class in sparknlp.common.properties), [1] HasLlamaCppProperties (class in sparknlp.common.properties), [1] HasLongMaxSentenceLengthLimit (class in sparknlp.common.properties), [1] HasMaxSentenceLengthLimit (class in sparknlp.common.properties), [1] HasPowerPointProperties (class in sparknlp.partition.partition_properties), [1] HasRecursiveFit (class in sparknlp.base.has_recursive_fit), [1] HasRecursiveTransform (class in sparknlp.base.has_recursive_transform), [1] HasRescaleFactor (class in sparknlp.common.properties), [1] HasStorage (class in sparknlp.common.storage), [1] HasStorageModel (class in sparknlp.common.storage), [1] HasStorageOptions (class in sparknlp.common.storage), [1] HasStorageRef (class in sparknlp.common.storage), [1] HasTextReaderProperties (class in sparknlp.partition.partition_properties), [1] height (AnnotationImage attribute) hiddenUnitsNumber (TFNerDLGraphBuilder attribute), [1] html() (SparkNLPReader method), [1] HubertForCTC (class in sparknlp.annotator.audio.hubert_for_ctc), [1]

I

idCol (DocumentAssembler attribute), [1] (MultiDocumentAssembler attribute), [1] identityRanking (DocumentSimilarityRankerApproach attribute), [1] idsVocab (ContextSpellCheckerModel attribute), [1] ignoreCase (Cleaner attribute), [1] ignoreEntities (ZeroShotNerModel attribute), [1] ignoreEos (HasLlamaCppProperties attribute), [1] ignoreTokenIds (BartTransformer attribute), [1] (CoHereTransformer attribute), [1] (CPMTransformer attribute), [1] (Florence2Transformer attribute), [1] (Gemma3ForMultiModal attribute), [1] (GPT2Transformer attribute), [1] (InternVLForMultiModal attribute), [1] (JanusForMultiModal attribute), [1] (LLAMA2Transformer attribute), [1] (LLAMA3Transformer attribute), [1] (LLAVAForMultiModal attribute), [1] (M2M100Transformer attribute), [1] (MarianTransformer attribute), [1] (MistralTransformer attribute), [1] (MLLamaForMultimodal attribute), [1] (NLLBTransformer attribute), [1] (OLMoTransformer attribute), [1] (PaliGemmaForMultiModal attribute), [1] (Phi2Transformer attribute), [1] (Phi3Transformer attribute), [1] (Phi3Vision attribute), [1] (Qwen2VLTransformer attribute), [1] (QwenTransformer attribute), [1] (SmolVLMTransformer attribute), [1] (StarCoderTransformer attribute), [1] (T5Transformer attribute), [1] IMAGE (AnnotatorType attribute), [1] ImageAssembler (class in sparknlp.base.image_assembler), [1] imageGenerateMode (JanusForMultiModal attribute), [1] imageMean (HasImageFeatureProperties attribute), [1] imageSchema (EmbeddingsDataFrameUtils attribute), [1] imageStd (HasImageFeatureProperties attribute), [1] imageToken (SmolVLMTransformer attribute), [1] imageUrlPattern (Extractor attribute), [1] importantFeatureRatio (ViveknSentimentApproach attribute), [1] (ViveknSentimentModel attribute), [1] impossiblePenultimates (SentenceDetectorDLApproach attribute), [1] (SentenceDetectorDLModel attribute), [1] includeAllConfidenceScores (NerDLApproach attribute), [1] (NerDLModel attribute), [1] includeConfidence (NerCrfApproach attribute), [1] (NerCrfModel attribute), [1] (NerDLApproach attribute), [1] (NerDLModel attribute), [1] includeEdges (GraphExtraction attribute), [1] includeMetadata (Finisher attribute), [1] includePageBreaks (PartitionTransformer attribute), [1] includeSlideNotes (HasPowerPointProperties attribute), [1] includeStorage (HasStorageOptions attribute), [1] incrementMultiplier (SentimentDetector attribute), [1] index (Extractor attribute), [1] inferTableStructure (PartitionTransformer attribute), [1] infixes (RecursiveTokenizer attribute), [1] infixPatterns (Tokenizer attribute), [1] initialRate (ContextSpellCheckerApproach attribute), [1] inputAnnotatorTypes (AlbertEmbeddings attribute), [1] (AlbertForMultipleChoice attribute), [1] (AlbertForQuestionAnswering attribute), [1] (AlbertForSequenceClassification attribute), [1] (AlbertForTokenClassification attribute), [1] (AlbertForZeroShotClassification attribute), [1] (AnnotatorProperties attribute), [1] (AutoGGUFEmbeddings attribute), [1] (AutoGGUFModel attribute), [1] (AutoGGUFVisionModel attribute), [1] (BartForZeroShotClassification attribute), [1] (BartTransformer attribute), [1] (BertEmbeddings attribute), [1] (BertForMultipleChoice attribute), [1] (BertForQuestionAnswering attribute), [1] (BertForSequenceClassification attribute), [1] (BertForTokenClassification attribute), [1] (BertForZeroShotClassification attribute), [1] (BertSentenceEmbeddings attribute), [1] (BGEEmbeddings attribute), [1] (BigTextMatcher attribute), [1] (BigTextMatcherModel attribute), [1] (BLIPForQuestionAnswering attribute), [1] (CamemBertEmbeddings attribute), [1] (CamemBertForQuestionAnswering attribute), [1] (CamemBertForSequenceClassification attribute), [1] (CamemBertForTokenClassification attribute), [1] (CamemBertForZeroShotClassification attribute), [1] (Chunk2Doc attribute), [1] (ChunkEmbeddings attribute), [1] (Chunker attribute), [1] (ChunkTokenizer attribute), [1] (ChunkTokenizerModel attribute), [1] (ClassifierDLApproach attribute), [1] (ClassifierDLModel attribute), [1] (Cleaner attribute), [1] (CLIPForZeroShotClassification attribute), [1] (CoHereTransformer attribute), [1] (ContextSpellCheckerApproach attribute), [1] (ContextSpellCheckerModel attribute), [1] (ConvNextForImageClassification attribute), [1] (CPMTransformer attribute), [1] (Date2Chunk attribute), [1] (DateMatcher attribute), [1] (DeBertaEmbeddings attribute), [1] (DeBertaForQuestionAnswering attribute), [1] (DeBertaForSequenceClassification attribute), [1] (DeBertaForTokenClassification attribute), [1] (DeBertaForZeroShotClassification attribute), [1] (DependencyParserApproach attribute), [1] (DependencyParserModel attribute), [1] (DistilBertEmbeddings attribute), [1] (DistilBertForMultipleChoice attribute), [1] (DistilBertForQuestionAnswering attribute), [1] (DistilBertForSequenceClassification attribute), [1] (DistilBertForTokenClassification attribute), [1] (DistilBertForZeroShotClassification attribute), [1] (Doc2Chunk attribute), [1] (Doc2VecApproach attribute), [1] (Doc2VecModel attribute), [1] (DocumentCharacterTextSplitter attribute), [1] (DocumentNormalizer attribute), [1] (DocumentSimilarityRankerApproach attribute), [1] (DocumentSimilarityRankerModel attribute), [1] (DocumentTokenSplitter attribute), [1] (E5Embeddings attribute), [1] (E5VEmbeddings attribute), [1] (ElmoEmbeddings attribute), [1] (EntityRulerApproach attribute), [1] (EntityRulerModel attribute), [1] (Extractor attribute), [1] (Florence2Transformer attribute), [1] (Gemma3ForMultiModal attribute), [1] (GPT2Transformer attribute), [1] (GraphExtraction attribute), [1] (HubertForCTC attribute), [1] (InstructorEmbeddings attribute), [1] (InternVLForMultiModal attribute), [1] (JanusForMultiModal attribute), [1] (LanguageDetectorDL attribute), [1] (Lemmatizer attribute), [1] (LemmatizerModel attribute), [1] (LLAMA2Transformer attribute), [1] (LLAMA3Transformer attribute), [1] (LLAVAForMultiModal attribute), [1] (LongformerEmbeddings attribute), [1] (LongformerForQuestionAnswering attribute), [1] (LongformerForSequenceClassification attribute), [1] (LongformerForTokenClassification attribute), [1] (M2M100Transformer attribute), [1] (MarianTransformer attribute), [1] (MiniLMEmbeddings attribute), [1] (MistralTransformer attribute), [1] (MLLamaForMultimodal attribute), [1] (MPNetEmbeddings attribute), [1] (MPNetForQuestionAnswering attribute), [1] (MPNetForSequenceClassification attribute), [1] (MPNetForTokenClassification attribute), [1] (MultiClassifierDLApproach attribute), [1] (MultiClassifierDLModel attribute), [1] (MultiDateMatcher attribute), [1] (MxbaiEmbeddings attribute), [1] (NerConverter attribute), [1] (NerCrfApproach attribute), [1] (NerCrfModel attribute), [1] (NerDLApproach attribute), [1] (NerDLModel attribute), [1] (NerOverwriter attribute), [1] (NGramGenerator attribute), [1] (NLLBTransformer attribute), [1] (NomicEmbeddings attribute), [1] (Normalizer attribute), [1] (NormalizerModel attribute), [1] (NorvigSweetingApproach attribute), [1] (NorvigSweetingModel attribute), [1] (OLMoTransformer attribute), [1] (OpenAICompletion attribute), [1] (OpenAIEmbeddings attribute), [1] (PaliGemmaForMultiModal attribute), [1] (PartitionTransformer attribute), [1] (PerceptronApproach attribute), [1] (PerceptronModel attribute), [1] (Phi2Transformer attribute), [1] (Phi3Transformer attribute), [1] (Phi3Vision attribute), [1] (Qwen2VLTransformer attribute), [1] (QwenTransformer attribute), [1] (RecursiveTokenizer attribute), [1] (RecursiveTokenizerModel attribute), [1] (RegexMatcher attribute), [1] (RegexMatcherModel attribute), [1] (RegexTokenizer attribute), [1] (RoBertaEmbeddings attribute), [1] (RoBertaForMultipleChoice attribute), [1] (RoBertaForQuestionAnswering attribute), [1] (RoBertaForSequenceClassification attribute), [1] (RoBertaForTokenClassification attribute), [1] (RoBertaForZeroShotClassification attribute), [1] (RoBertaSentenceEmbeddings attribute), [1] (SentenceDetector attribute), [1] (SentenceDetectorDLApproach attribute), [1] (SentenceDetectorDLModel attribute), [1] (SentenceEmbeddings attribute), [1] (SentimentDetector attribute), [1] (SentimentDetectorModel attribute), [1] (SentimentDLApproach attribute), [1] (SentimentDLModel attribute), [1] (SmolVLMTransformer attribute), [1] (SnowFlakeEmbeddings attribute), [1] (SpanBertCorefModel attribute), [1] (StarCoderTransformer attribute), [1] (Stemmer attribute), [1] (StopWordsCleaner attribute), [1] (SwinForImageClassification attribute), [1] (SymmetricDeleteApproach attribute), [1] (SymmetricDeleteModel attribute), [1] (T5Transformer attribute), [1] (TableAssembler attribute), [1] (TapasForQuestionAnswering attribute), [1] (TextMatcher attribute), [1] (TextMatcherModel attribute), [1] (TFNerDLGraphBuilder attribute), [1] (Token2Chunk attribute), [1] (TokenAssembler attribute), [1] (Tokenizer attribute), [1] (TokenizerModel attribute), [1] (TypedDependencyParserApproach attribute), [1] (TypedDependencyParserModel attribute), [1] (UAEEmbeddings attribute), [1] (UniversalSentenceEncoder attribute), [1] (VisionEncoderDecoderForImageCaptioning attribute), [1] (ViTForImageClassification attribute), [1] (ViveknSentimentApproach attribute), [1] (ViveknSentimentModel attribute), [1] (Wav2Vec2ForCTC attribute), [1] (WhisperForCTC attribute), [1] (Word2VecApproach attribute), [1] (Word2VecModel attribute), [1] (WordEmbeddings attribute), [1] (WordEmbeddingsModel attribute), [1] (WordSegmenterApproach attribute), [1] (WordSegmenterModel attribute), [1] (XlmRoBertaEmbeddings attribute), [1] (XlmRoBertaForMultipleChoice attribute), [1] (XlmRoBertaForQuestionAnswering attribute), [1] (XlmRoBertaForSequenceClassification attribute), [1] (XlmRoBertaForTokenClassification attribute), [1] (XlmRoBertaForZeroShotClassification attribute), [1] (XlmRoBertaSentenceEmbeddings attribute), [1] (XlnetEmbeddings attribute), [1] (XlnetForSequenceClassification attribute), [1] (XlnetForTokenClassification attribute), [1] (YakeKeywordExtraction attribute), [1] (ZeroShotNerModel attribute), [1]

inputCol (AudioAssembler attribute), [1] (DocumentAssembler attribute), [1] (GraphFinisher attribute), [1] (ImageAssembler attribute), [1] (PromptAssembler attribute), [1] inputCols (AnnotatorProperties attribute), [1] (DocumentSimilarityRankerFinisher attribute), [1] (EmbeddingsFinisher attribute), [1] (Finisher attribute), [1] (MultiDocumentAssembler attribute), [1] (TFNerDLGraphBuilder attribute), [1] inputColsValidation() (AnnotatorProperties method), [1] (TFNerDLGraphBuilder method), [1] inputFormat (TableAssembler attribute), [1] inputFormats (DateMatcherUtils attribute), [1] inputPrefix (HasLlamaCppProperties attribute), [1] inputPrefixBos (HasLlamaCppProperties attribute), [1] inputSuffix (HasLlamaCppProperties attribute), [1] instruction (InstructorEmbeddings attribute), [1] InstructorEmbeddings (class in sparknlp.annotator.embeddings.instructor_embeddings), [1] InternVLForMultiModal (class in sparknlp.annotator.cv.internvl_for_multimodal), [1] intersections (NorvigSweetingApproach attribute), [1] ipAddressNamePattern (Extractor attribute), [1] ipAddressPattern (Extractor attribute), [1] isArray (Doc2Chunk attribute), [1] isLong (BertSentenceEmbeddings attribute), [1] isMultilingual (WhisperForCTC attribute), [1]

J

JanusForMultiModal (class in sparknlp.annotator.cv.janus_for_multimodal), [1]

java_obj (ExtendedJavaWrapper attribute)

K

keepSeparators (DocumentCharacterTextSplitter attribute), [1]

keyword (in module sparknlp.annotator)

L

l2 (NerCrfApproach attribute), [1] labelColumn (ClassifierEncoder attribute), [1] (NerApproach attribute), [1] (TFNerDLGraphBuilder attribute), [1] LABELED_DEPENDENCY (AnnotatorType attribute), [1] langId (MarianTransformer attribute), [1] LANGUAGE (AnnotatorType attribute), [1] language (Stemmer attribute), [1] (WhisperForCTC attribute), [1] LanguageDetectorDL (class in sparknlp.annotator.ld_dl.language_detector_dl), [1] languageModelClasses (ContextSpellCheckerApproach attribute), [1] languages (LanguageDetectorDL attribute), [1] lazyAnnotator (AnnotatorProperties attribute), [1] ld (in module sparknlp.annotator) lemmaCol (Lemmatizer attribute), [1] Lemmatizer (class in sparknlp.annotator.lemmatizer), [1] LemmatizerModel (class in sparknlp.annotator.lemmatizer), [1] light_model (PretrainedPipeline attribute) LightPipeline (class in sparknlp.base.light_pipeline), [1] list_of_tasks (PushToHub attribute), [1] LLAMA2Transformer (class in sparknlp.annotator.seq2seq.llama2_transformer), [1] LLAMA3Transformer (class in sparknlp.annotator.seq2seq.llama3_transformer), [1] LLAVAForMultiModal (class in sparknlp.annotator.cv.llava_for_multimodal), [1] load() (ZeroShotNerModel static method), [1] loadDefaultStopWords() (StopWordsCleaner method), [1] (YakeKeywordExtraction method), [1] loadImagesAsBytes() (ImageAssembler class method), [1] loadSavedModel() (AlbertEmbeddings static method), [1] (AlbertForMultipleChoice static method), [1] (AlbertForQuestionAnswering static method), [1] (AlbertForSequenceClassification static method), [1] (AlbertForTokenClassification static method), [1] (AlbertForZeroShotClassification static method), [1] (AutoGGUFEmbeddings static method), [1] (AutoGGUFModel static method), [1] (AutoGGUFVisionModel static method), [1] (BartForZeroShotClassification static method), [1] (BartTransformer static method), [1] (BertEmbeddings static method), [1] (BertForMultipleChoice static method), [1] (BertForQuestionAnswering static method), [1] (BertForSequenceClassification static method), [1] (BertForTokenClassification static method), [1] (BertForZeroShotClassification static method), [1] (BertSentenceEmbeddings static method), [1] (BGEEmbeddings static method), [1] (BLIPForQuestionAnswering static method), [1] (CamemBertEmbeddings static method), [1] (CamemBertForQuestionAnswering static method), [1] (CamemBertForSequenceClassification static method), [1] (CamemBertForTokenClassification static method), [1] (CamemBertForZeroShotClassification static method), [1] (CLIPForZeroShotClassification static method), [1] (CoHereTransformer static method), [1] (ConvNextForImageClassification static method), [1] (CPMTransformer static method), [1] (DeBertaEmbeddings static method), [1] (DeBertaForQuestionAnswering static method), [1] (DeBertaForSequenceClassification static method), [1] (DeBertaForTokenClassification static method), [1] (DeBertaForZeroShotClassification static method), [1] (DistilBertEmbeddings static method), [1] (DistilBertForMultipleChoice static method), [1] (DistilBertForQuestionAnswering static method), [1] (DistilBertForSequenceClassification static method), [1] (DistilBertForTokenClassification static method), [1] (DistilBertForZeroShotClassification static method), [1] (E5Embeddings static method), [1] (E5VEmbeddings static method), [1] (ElmoEmbeddings static method), [1] (Florence2Transformer static method), [1] (Gemma3ForMultiModal static method), [1] (GPT2Transformer static method), [1] (HubertForCTC static method), [1] (InstructorEmbeddings static method), [1] (InternVLForMultiModal static method), [1] (JanusForMultiModal static method), [1] (LLAMA2Transformer static method), [1] (LLAMA3Transformer static method), [1] (LLAVAForMultiModal static method), [1] (LongformerEmbeddings static method), [1] (LongformerForQuestionAnswering static method), [1] (LongformerForSequenceClassification static method), [1] (LongformerForTokenClassification static method), [1] (M2M100Transformer static method), [1] (MarianTransformer static method), [1] (MiniLMEmbeddings static method), [1] (MistralTransformer static method), [1] (MLLamaForMultimodal static method), [1] (MPNetEmbeddings static method), [1] (MPNetForQuestionAnswering static method), [1] (MPNetForSequenceClassification static method), [1] (MPNetForTokenClassification static method), [1] (MxbaiEmbeddings static method), [1] (NLLBTransformer static method), [1] (NomicEmbeddings static method), [1] (OLMoTransformer static method), [1] (PaliGemmaForMultiModal static method), [1] (Phi2Transformer static method), [1] (Phi3Transformer static method), [1] (Phi3Vision static method), [1] (Qwen2VLTransformer static method), [1] (QwenTransformer static method), [1] (RoBertaEmbeddings static method), [1] (RoBertaForMultipleChoice static method), [1] (RoBertaForQuestionAnswering static method), [1] (RoBertaForSequenceClassification static method), [1] (RoBertaForTokenClassification static method), [1] (RoBertaForZeroShotClassification static method), [1] (RoBertaSentenceEmbeddings static method), [1] (SmolVLMTransformer static method), [1] (SnowFlakeEmbeddings static method), [1] (SpanBertCorefModel static method), [1] (StarCoderTransformer static method), [1] (SwinForImageClassification static method), [1] (T5Transformer static method), [1] (TapasForQuestionAnswering static method), [1] (UAEEmbeddings static method), [1] (UniversalSentenceEncoder static method), [1] (VisionEncoderDecoderForImageCaptioning static method), [1] (ViTForImageClassification static method), [1] (Wav2Vec2ForCTC static method), [1] (WhisperForCTC static method), [1] (XlmRoBertaEmbeddings static method), [1] (XlmRoBertaForMultipleChoice static method), [1] (XlmRoBertaForQuestionAnswering static method), [1] (XlmRoBertaForSequenceClassification static method), [1] (XlmRoBertaForTokenClassification static method), [1] (XlmRoBertaForZeroShotClassification static method), [1] (XlmRoBertaSentenceEmbeddings static method), [1] (XlnetEmbeddings static method), [1] (XlnetForSequenceClassification static method), [1] (XlnetForTokenClassification static method), [1]

loadSP (UniversalSentenceEncoder attribute), [1] loadStorage() (BigTextMatcherModel static method), [1] (EntityRulerModel static method), [1] (HasStorageModel static method), [1] (WordEmbeddingsModel static method), [1] loadStorages() (HasStorageModel static method), [1] locale (StopWordsCleaner attribute), [1] log_asset() (CometLogger method), [1] log_asset_data() (CometLogger method), [1] log_completed_run() (CometLogger method), [1] log_metrics() (CometLogger method), [1] log_parameters() (CometLogger method), [1] log_pipeline_parameters() (CometLogger method), [1] log_visualization() (CometLogger method), [1] logitBias (OpenAICompletion attribute), [1] logprobs (OpenAICompletion attribute), [1] LongformerEmbeddings (class in sparknlp.annotator.embeddings.longformer_embeddings), [1] LongformerForQuestionAnswering (class in sparknlp.annotator.classifier_dl.longformer_for_question_answering), [1] LongformerForSequenceClassification (class in sparknlp.annotator.classifier_dl.longformer_for_sequence_classification), [1] LongformerForTokenClassification (class in sparknlp.annotator.classifier_dl.longformer_for_token_classification), [1] lookupCacheDynamicFilePath (HasLlamaCppProperties attribute), [1] lookupCacheStaticFilePath (HasLlamaCppProperties attribute), [1] lossEps (NerCrfApproach attribute), [1] lowercase (Cleaner attribute), [1] lowerCase (Doc2Chunk attribute), [1] lowercase (DocumentNormalizer attribute), [1] (Normalizer attribute), [1] (NormalizerModel attribute), [1] lr (ClassifierEncoder attribute), [1] (NerDLApproach attribute), [1]

M

M2M100Transformer (class in sparknlp.annotator.seq2seq.m2m100_transformer), [1] mainGpu (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] map_annotations() (in module sparknlp.functions), [1] map_annotations_array() (in module sparknlp.functions), [1] map_annotations_col() (in module sparknlp.functions), [1] map_annotations_cols() (in module sparknlp.functions), [1] map_annotations_strict() (in module sparknlp.functions), [1] mapiIdPattern (Extractor attribute), [1] MarianTransformer (class in sparknlp.annotator.seq2seq.marian_transformer), [1] MATCH_ALL (MatchStrategy attribute), [1] MATCH_COMPLETE (MatchStrategy attribute), [1] MATCH_FIRST (MatchStrategy attribute), [1] MatchStrategy (class in sparknlp.common.match_strategy), [1] max_length_limit (HasLongMaxSentenceLengthLimit attribute), [1] (HasMaxSentenceLengthLimit attribute), [1] maxCandidates (ContextSpellCheckerApproach attribute), [1] (ContextSpellCheckerModel attribute), [1] maxCharacters (HasChunkerProperties attribute), [1] maxEditDistance (SymmetricDeleteApproach attribute), [1] maxEpochs (ClassifierEncoder attribute), [1] (NerApproach attribute), [1] maxImageSize (SmolVLMTransformer attribute), [1] maxInputLength (Gemma3ForMultiModal attribute), [1] (MarianTransformer attribute), [1] maxIter (Doc2VecApproach attribute), [1] (Word2VecApproach attribute), [1] maxLength (Normalizer attribute), [1] (RegexTokenizer attribute), [1] (SentenceDetectorDLModel attribute), [1] (SentenceDetectorParams attribute), [1] (Tokenizer attribute), [1] maxLineCount (HasTextReaderProperties attribute), [1] maxNewTokens (T5Transformer attribute), [1] maxNGrams (YakeKeywordExtraction attribute), [1] maxOutputLength (BartTransformer attribute), [1] (CoHereTransformer attribute), [1] (CPMTransformer attribute), [1] (Florence2Transformer attribute), [1] (Gemma3ForMultiModal attribute), [1] (GPT2Transformer attribute), [1] (HasGeneratorProperties attribute), [1] (InternVLForMultiModal attribute), [1] (JanusForMultiModal attribute), [1] (LLAMA2Transformer attribute), [1] (LLAMA3Transformer attribute), [1] (LLAVAForMultiModal attribute), [1] (M2M100Transformer attribute), [1] (MarianTransformer attribute), [1] (MistralTransformer attribute), [1] (MLLamaForMultimodal attribute), [1] (NLLBTransformer attribute), [1] (OLMoTransformer attribute), [1] (PaliGemmaForMultiModal attribute), [1] (Phi2Transformer attribute), [1] (Phi3Transformer attribute), [1] (Phi3Vision attribute), [1] (Qwen2VLTransformer attribute), [1] (QwenTransformer attribute), [1] (SmolVLMTransformer attribute), [1] (StarCoderTransformer attribute), [1] (T5Transformer attribute), [1] maxSegmentLength (SpanBertCorefModel attribute), [1] maxSentenceLength (BartForZeroShotClassification attribute), [1] (BLIPForQuestionAnswering attribute), [1] (Doc2VecApproach attribute), [1] (HasMaxSentenceLengthLimit attribute), [1] (RoBertaForTokenClassification attribute), [1] (RoBertaForZeroShotClassification attribute), [1] (Word2VecApproach attribute), [1] (XlmRoBertaForZeroShotClassification attribute), [1] maxSentenceSize (GraphExtraction attribute), [1] maxSentLen (ContextSpellCheckerApproach attribute), [1] maxTokens (OpenAICompletion attribute), [1] maxWindowLen (ContextSpellCheckerApproach attribute), [1] (ContextSpellCheckerModel attribute), [1] md() (SparkNLPReader method), [1] mergeEntities (GraphExtraction attribute), [1] mergeEntitiesIOBFormat (GraphExtraction attribute), [1] mergeOverlapping (BigTextMatcher attribute), [1] (BigTextMatcherModel attribute), [1] (TextMatcher attribute), [1] (TextMatcherModel attribute), [1] metadata (Annotation attribute) (AnnotationAudio attribute) (AnnotationImage attribute) metadataCol (DocumentAssembler attribute), [1] (MultiDocumentAssembler attribute), [1] minCount (ContextSpellCheckerApproach attribute), [1] (Doc2VecApproach attribute), [1] (Word2VecApproach attribute), [1] minEpochs (NerApproach attribute), [1] MiniLMEmbeddings (class in sparknlp.annotator.embeddings.minilm_embeddings), [1] minKeep (HasLlamaCppProperties attribute), [1] minLength (Normalizer attribute), [1] (RegexTokenizer attribute), [1] (SentenceDetectorDLModel attribute), [1] (SentenceDetectorParams attribute), [1] (Tokenizer attribute), [1] minNGrams (YakeKeywordExtraction attribute), [1] minOutputLength (BartTransformer attribute), [1] (CoHereTransformer attribute), [1] (CPMTransformer attribute), [1] (Florence2Transformer attribute), [1] (Gemma3ForMultiModal attribute), [1] (GPT2Transformer attribute), [1] (HasGeneratorProperties attribute), [1] (InternVLForMultiModal attribute), [1] (JanusForMultiModal attribute), [1] (LLAMA2Transformer attribute), [1] (LLAMA3Transformer attribute), [1] (LLAVAForMultiModal attribute), [1] (M2M100Transformer attribute), [1] (MistralTransformer attribute), [1] (MLLamaForMultimodal attribute), [1] (NLLBTransformer attribute), [1] (OLMoTransformer attribute), [1] (PaliGemmaForMultiModal attribute), [1] (Phi2Transformer attribute), [1] (Phi3Transformer attribute), [1] (Phi3Vision attribute), [1] (Qwen2VLTransformer attribute), [1] (QwenTransformer attribute), [1] (SmolVLMTransformer attribute), [1] (StarCoderTransformer attribute), [1] (T5Transformer attribute), [1] minP (HasLlamaCppProperties attribute), [1] minSentenceSize (GraphExtraction attribute), [1] minW (NerCrfApproach attribute), [1] miroStat (HasLlamaCppProperties attribute), [1] miroStatEta (HasLlamaCppProperties attribute), [1] miroStatTau (HasLlamaCppProperties attribute), [1] MistralTransformer (class in sparknlp.annotator.seq2seq.mistral_transformer), [1] MLLamaForMultimodal (class in sparknlp.annotator.cv.mllama_for_multimodal), [1] mode (AnnotationImage attribute) model (OpenAICompletion attribute), [1] (OpenAIEmbeddings attribute), [1] modelAlias (HasLlamaCppProperties attribute), [1] modelArchitecture (SentenceDetectorDLApproach attribute), [1] (SentenceDetectorDLModel attribute), [1] modelDraft (HasLlamaCppProperties attribute), [1] module sparknlp, [1] sparknlp.annotation, [1] sparknlp.annotation_audio, [1] sparknlp.annotation_image, [1] sparknlp.annotator, [1] sparknlp.annotator.audio, [1] sparknlp.annotator.audio.hubert_for_ctc, [1] sparknlp.annotator.audio.wav2vec2_for_ctc, [1] sparknlp.annotator.audio.whisper_for_ctc, [1] sparknlp.annotator.chunk2_doc, [1] sparknlp.annotator.chunker, [1] sparknlp.annotator.classifier_dl, [1] sparknlp.annotator.classifier_dl.albert_for_multiple_choice, [1] sparknlp.annotator.classifier_dl.albert_for_question_answering, [1] sparknlp.annotator.classifier_dl.albert_for_sequence_classification, [1] sparknlp.annotator.classifier_dl.albert_for_token_classification, [1] sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification, [1] sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification, [1] sparknlp.annotator.classifier_dl.bert_for_multiple_choice, [1] sparknlp.annotator.classifier_dl.bert_for_question_answering, [1] sparknlp.annotator.classifier_dl.bert_for_sequence_classification, [1] sparknlp.annotator.classifier_dl.bert_for_token_classification, [1] sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification, [1] sparknlp.annotator.classifier_dl.camembert_for_question_answering, [1] sparknlp.annotator.classifier_dl.camembert_for_sequence_classification, [1] sparknlp.annotator.classifier_dl.camembert_for_token_classification, [1] sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification, [1] sparknlp.annotator.classifier_dl.classifier_dl, [1] sparknlp.annotator.classifier_dl.deberta_for_question_answering, [1] sparknlp.annotator.classifier_dl.deberta_for_sequence_classification, [1] sparknlp.annotator.classifier_dl.deberta_for_token_classification, [1] sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification, [1] sparknlp.annotator.classifier_dl.distil_bert_for_question_answering, [1] sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification, [1] sparknlp.annotator.classifier_dl.distil_bert_for_token_classification, [1] sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification, [1] sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice, [1] sparknlp.annotator.classifier_dl.longformer_for_question_answering, [1] sparknlp.annotator.classifier_dl.longformer_for_sequence_classification, [1] sparknlp.annotator.classifier_dl.longformer_for_token_classification, [1] sparknlp.annotator.classifier_dl.mpnet_for_question_answering, [1] sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification, [1] sparknlp.annotator.classifier_dl.mpnet_for_token_classification, [1] sparknlp.annotator.classifier_dl.multi_classifier_dl, [1] sparknlp.annotator.classifier_dl.roberta_for_multiple_choice, [1] sparknlp.annotator.classifier_dl.roberta_for_question_answering, [1] sparknlp.annotator.classifier_dl.roberta_for_sequence_classification, [1] sparknlp.annotator.classifier_dl.roberta_for_token_classification, [1] sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification, [1] sparknlp.annotator.classifier_dl.sentiment_dl, [1] sparknlp.annotator.classifier_dl.tapas_for_question_answering, [1] sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice, [1] sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering, [1] sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification, [1] sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification, [1] sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification, [1] sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification, [1] sparknlp.annotator.classifier_dl.xlnet_for_token_classification, [1] sparknlp.annotator.cleaners, [1] sparknlp.annotator.cleaners.cleaner, [1] sparknlp.annotator.cleaners.extractor, [1] sparknlp.annotator.coref, [1] sparknlp.annotator.coref.spanbert_coref, [1] sparknlp.annotator.cv, [1] sparknlp.annotator.cv.blip_for_question_answering, [1] sparknlp.annotator.cv.clip_for_zero_shot_classification, [1] sparknlp.annotator.cv.convnext_for_image_classification, [1] sparknlp.annotator.cv.florence2_transformer, [1] sparknlp.annotator.cv.gemma3_for_multimodal, [1] sparknlp.annotator.cv.internvl_for_multimodal, [1] sparknlp.annotator.cv.janus_for_multimodal, [1] sparknlp.annotator.cv.llava_for_multimodal, [1] sparknlp.annotator.cv.mllama_for_multimodal, [1] sparknlp.annotator.cv.paligemma_for_multimodal, [1] sparknlp.annotator.cv.phi3_vision_for_multimodal, [1] sparknlp.annotator.cv.qwen2vl_transformer, [1] sparknlp.annotator.cv.smolvlm_transformer, [1] sparknlp.annotator.cv.swin_for_image_classification, [1] sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning, [1] sparknlp.annotator.cv.vit_for_image_classification, [1] sparknlp.annotator.dataframe_optimizer, [1] sparknlp.annotator.date2_chunk, [1] sparknlp.annotator.dependency, [1] sparknlp.annotator.dependency.dependency_parser, [1] sparknlp.annotator.dependency.typed_dependency_parser, [1] sparknlp.annotator.document_character_text_splitter, [1] sparknlp.annotator.document_normalizer, [1] sparknlp.annotator.document_token_splitter, [1] sparknlp.annotator.document_token_splitter_test sparknlp.annotator.embeddings, [1] sparknlp.annotator.embeddings.albert_embeddings, [1] sparknlp.annotator.embeddings.auto_gguf_embeddings, [1] sparknlp.annotator.embeddings.bert_embeddings, [1] sparknlp.annotator.embeddings.bert_sentence_embeddings, [1] sparknlp.annotator.embeddings.bge_embeddings, [1] sparknlp.annotator.embeddings.camembert_embeddings, [1] sparknlp.annotator.embeddings.chunk_embeddings, [1] sparknlp.annotator.embeddings.deberta_embeddings, [1] sparknlp.annotator.embeddings.distil_bert_embeddings, [1] sparknlp.annotator.embeddings.doc2vec, [1] sparknlp.annotator.embeddings.e5_embeddings, [1] sparknlp.annotator.embeddings.e5v_embeddings, [1] sparknlp.annotator.embeddings.elmo_embeddings, [1] sparknlp.annotator.embeddings.instructor_embeddings, [1] sparknlp.annotator.embeddings.longformer_embeddings, [1] sparknlp.annotator.embeddings.minilm_embeddings, [1] sparknlp.annotator.embeddings.mpnet_embeddings, [1] sparknlp.annotator.embeddings.mxbai_embeddings, [1] sparknlp.annotator.embeddings.nomic_embeddings, [1] sparknlp.annotator.embeddings.roberta_embeddings, [1] sparknlp.annotator.embeddings.roberta_sentence_embeddings, [1] sparknlp.annotator.embeddings.sentence_embeddings, [1] sparknlp.annotator.embeddings.snowflake_embeddings, [1] sparknlp.annotator.embeddings.uae_embeddings, [1] sparknlp.annotator.embeddings.universal_sentence_encoder, [1] sparknlp.annotator.embeddings.word2vec, [1] sparknlp.annotator.embeddings.word_embeddings, [1] sparknlp.annotator.embeddings.xlm_roberta_embeddings, [1] sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings, [1] sparknlp.annotator.embeddings.xlnet_embeddings, [1] sparknlp.annotator.er, [1] sparknlp.annotator.er.entity_ruler, [1] sparknlp.annotator.graph_extraction, [1] sparknlp.annotator.keyword_extraction, [1] sparknlp.annotator.keyword_extraction.yake_keyword_extraction, [1] sparknlp.annotator.ld_dl, [1] sparknlp.annotator.ld_dl.language_detector_dl, [1] sparknlp.annotator.lemmatizer, [1] sparknlp.annotator.matcher, [1] sparknlp.annotator.matcher.big_text_matcher, [1] sparknlp.annotator.matcher.date_matcher, [1] sparknlp.annotator.matcher.multi_date_matcher, [1] sparknlp.annotator.matcher.regex_matcher, [1] sparknlp.annotator.matcher.text_matcher, [1] sparknlp.annotator.n_gram_generator, [1] sparknlp.annotator.ner, [1] sparknlp.annotator.ner.ner_approach, [1] sparknlp.annotator.ner.ner_converter, [1] sparknlp.annotator.ner.ner_crf, [1] sparknlp.annotator.ner.ner_dl, [1] sparknlp.annotator.ner.ner_overwriter, [1] sparknlp.annotator.ner.zero_shot_ner_model, [1] sparknlp.annotator.normalizer, [1] sparknlp.annotator.openai, [1] sparknlp.annotator.openai.openai_completion, [1] sparknlp.annotator.openai.openai_embeddings, [1] sparknlp.annotator.param, [1] sparknlp.annotator.param.classifier_encoder, [1] sparknlp.annotator.param.evaluation_dl_params, [1] sparknlp.annotator.pos, [1] sparknlp.annotator.pos.perceptron, [1] sparknlp.annotator.sentence, [1] sparknlp.annotator.sentence.sentence_detector, [1] sparknlp.annotator.sentence.sentence_detector_dl, [1] sparknlp.annotator.sentiment, [1] sparknlp.annotator.sentiment.sentiment_detector, [1] sparknlp.annotator.sentiment.vivekn_sentiment, [1] sparknlp.annotator.seq2seq, [1] sparknlp.annotator.seq2seq.auto_gguf_model, [1] sparknlp.annotator.seq2seq.auto_gguf_vision_model, [1] sparknlp.annotator.seq2seq.bart_transformer, [1] sparknlp.annotator.seq2seq.cohere_transformer, [1] sparknlp.annotator.seq2seq.cpm_transformer, [1] sparknlp.annotator.seq2seq.gpt2_transformer, [1] sparknlp.annotator.seq2seq.llama2_transformer, [1] sparknlp.annotator.seq2seq.llama3_transformer, [1] sparknlp.annotator.seq2seq.m2m100_transformer, [1] sparknlp.annotator.seq2seq.marian_transformer, [1] sparknlp.annotator.seq2seq.mistral_transformer, [1] sparknlp.annotator.seq2seq.nllb_transformer, [1] sparknlp.annotator.seq2seq.olmo_transformer, [1] sparknlp.annotator.seq2seq.phi2_transformer, [1] sparknlp.annotator.seq2seq.phi3_transformer, [1] sparknlp.annotator.seq2seq.qwen_transformer, [1] sparknlp.annotator.seq2seq.starcoder_transformer, [1] sparknlp.annotator.seq2seq.t5_transformer, [1] sparknlp.annotator.similarity, [1] sparknlp.annotator.similarity.document_similarity_ranker, [1] sparknlp.annotator.spell_check, [1] sparknlp.annotator.spell_check.context_spell_checker, [1] sparknlp.annotator.spell_check.norvig_sweeting, [1] sparknlp.annotator.spell_check.symmetric_delete, [1] sparknlp.annotator.stemmer, [1] sparknlp.annotator.stop_words_cleaner, [1] sparknlp.annotator.tf_ner_dl_graph_builder, [1] sparknlp.annotator.token, [1] sparknlp.annotator.token.chunk_tokenizer, [1] sparknlp.annotator.token.recursive_tokenizer, [1] sparknlp.annotator.token.regex_tokenizer, [1] sparknlp.annotator.token.tokenizer, [1] sparknlp.annotator.token2_chunk, [1] sparknlp.annotator.ws, [1] sparknlp.annotator.ws.word_segmenter, [1] sparknlp.base, [1] sparknlp.base.audio_assembler, [1] sparknlp.base.doc2_chunk, [1] sparknlp.base.document_assembler, [1] sparknlp.base.embeddings_finisher, [1] sparknlp.base.finisher, [1] sparknlp.base.graph_finisher, [1] sparknlp.base.has_recursive_fit, [1] sparknlp.base.has_recursive_transform, [1] sparknlp.base.image_assembler, [1] sparknlp.base.light_pipeline, [1] sparknlp.base.multi_document_assembler, [1] sparknlp.base.prompt_assembler, [1] sparknlp.base.recursive_pipeline, [1] sparknlp.base.table_assembler, [1] sparknlp.base.token_assembler, [1] sparknlp.common, [1] sparknlp.common.annotator_approach, [1] sparknlp.common.annotator_model, [1] sparknlp.common.annotator_properties, [1] sparknlp.common.annotator_type, [1] sparknlp.common.coverage_result, [1] sparknlp.common.match_strategy, [1] sparknlp.common.properties, [1] sparknlp.common.read_as, [1] sparknlp.common.recursive_annotator_approach, [1] sparknlp.common.storage, [1] sparknlp.common.utils, [1] sparknlp.functions, [1] sparknlp.internal, [1] sparknlp.internal.annotator_java_ml, [1] sparknlp.internal.annotator_transformer, [1] sparknlp.internal.extended_java_wrapper, [1] sparknlp.internal.params_getters_setters, [1] sparknlp.internal.recursive, [1] sparknlp.logging, [1] sparknlp.logging.comet, [1] sparknlp.partition, [1] sparknlp.partition.partition, [1] sparknlp.partition.partition_properties, [1] sparknlp.partition.partition_transformer, [1] sparknlp.pretrained, [1] sparknlp.pretrained.pretrained_pipeline, [1] sparknlp.pretrained.resource_downloader, [1] sparknlp.pretrained.utils, [1] sparknlp.reader, [1] sparknlp.reader.enums, [1] sparknlp.reader.pdf_to_text, [1] sparknlp.reader.sparknlp_reader, [1] sparknlp.training, [1] sparknlp.training.conll, [1] sparknlp.training.conllu, [1] sparknlp.training.pos, [1] sparknlp.training.pub_tator, [1] sparknlp.training.spacy_to_annotation, [1] sparknlp.training.tfgraphs sparknlp.upload_to_hub, [1] sparknlp.util, [1]

monitor() (CometLogger method), [1] MPNetEmbeddings (class in sparknlp.annotator.embeddings.mpnet_embeddings), [1] MPNetForQuestionAnswering (class in sparknlp.annotator.classifier_dl.mpnet_for_question_answering), [1] MPNetForSequenceClassification (class in sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification), [1] MPNetForTokenClassification (class in sparknlp.annotator.classifier_dl.mpnet_for_token_classification), [1] MultiClassifierDLApproach (class in sparknlp.annotator.classifier_dl.multi_classifier_dl), [1] MultiClassifierDLModel (class in sparknlp.annotator.classifier_dl.multi_classifier_dl), [1] MultiDateMatcher (class in sparknlp.annotator.matcher.multi_date_matcher), [1] MultiDocumentAssembler (class in sparknlp.base.multi_document_assembler), [1] multilabel (HasClassifierActivationProperties attribute), [1] MxbaiEmbeddings (class in sparknlp.annotator.embeddings.mxbai_embeddings), [1]

N

n (NGramGenerator attribute), [1] name (AlbertEmbeddings attribute), [1] (AlbertForMultipleChoice attribute), [1] (AlbertForQuestionAnswering attribute), [1] (AlbertForSequenceClassification attribute), [1] (AlbertForTokenClassification attribute), [1] (AlbertForZeroShotClassification attribute), [1] (AudioAssembler attribute), [1] (AutoGGUFEmbeddings attribute), [1] (AutoGGUFModel attribute), [1] (AutoGGUFVisionModel attribute), [1] (BartForZeroShotClassification attribute), [1] (BartTransformer attribute), [1] (BertEmbeddings attribute), [1] (BertForMultipleChoice attribute), [1] (BertForQuestionAnswering attribute), [1] (BertForSequenceClassification attribute), [1] (BertForTokenClassification attribute), [1] (BertForZeroShotClassification attribute), [1] (BertSentenceEmbeddings attribute), [1] (BGEEmbeddings attribute), [1] (BigTextMatcherModel attribute), [1] (BLIPForQuestionAnswering attribute), [1] (CamemBertEmbeddings attribute), [1] (CamemBertForQuestionAnswering attribute), [1] (CamemBertForSequenceClassification attribute), [1] (CamemBertForTokenClassification attribute), [1] (CamemBertForZeroShotClassification attribute), [1] (Chunk2Doc attribute), [1] (ChunkEmbeddings attribute), [1] (Chunker attribute), [1] (ChunkTokenizer attribute), [1] (ChunkTokenizerModel attribute), [1] (ClassifierDLModel attribute), [1] (Cleaner attribute), [1] (CLIPForZeroShotClassification attribute), [1] (CoHereTransformer attribute), [1] (ContextSpellCheckerApproach attribute), [1] (ContextSpellCheckerModel attribute), [1] (ConvNextForImageClassification attribute), [1] (CPMTransformer attribute), [1] (Date2Chunk attribute), [1] (DateMatcher attribute), [1] (DeBertaEmbeddings attribute), [1] (DeBertaForQuestionAnswering attribute), [1] (DeBertaForSequenceClassification attribute), [1] (DeBertaForTokenClassification attribute), [1] (DeBertaForZeroShotClassification attribute), [1] (DependencyParserModel attribute), [1] (DistilBertEmbeddings attribute), [1] (DistilBertForMultipleChoice attribute), [1] (DistilBertForQuestionAnswering attribute), [1] (DistilBertForSequenceClassification attribute), [1] (DistilBertForTokenClassification attribute), [1] (DistilBertForZeroShotClassification attribute), [1] (Doc2Chunk attribute), [1] (Doc2VecModel attribute), [1] (DocumentAssembler attribute), [1] (DocumentSimilarityRankerFinisher attribute), [1] (DocumentSimilarityRankerModel attribute), [1] (E5Embeddings attribute), [1] (E5VEmbeddings attribute), [1] (ElmoEmbeddings attribute), [1] (EmbeddingsFinisher attribute), [1] (EntityRulerApproach attribute), [1] (EntityRulerModel attribute), [1] (Extractor attribute), [1] (Finisher attribute), [1] (Florence2Transformer attribute), [1] (Gemma3ForMultiModal attribute), [1] (GPT2Transformer attribute), [1] (GraphExtraction attribute), [1] (GraphFinisher attribute), [1] (HubertForCTC attribute), [1] (ImageAssembler attribute), [1] (InstructorEmbeddings attribute), [1] (InternVLForMultiModal attribute), [1] (JanusForMultiModal attribute), [1] (LanguageDetectorDL attribute), [1] (LemmatizerModel attribute), [1] (LLAMA2Transformer attribute), [1] (LLAMA3Transformer attribute), [1] (LLAVAForMultiModal attribute), [1] (LongformerEmbeddings attribute), [1] (LongformerForQuestionAnswering attribute), [1] (LongformerForSequenceClassification attribute), [1] (LongformerForTokenClassification attribute), [1] (M2M100Transformer attribute), [1] (MarianTransformer attribute), [1] (MiniLMEmbeddings attribute), [1] (MistralTransformer attribute), [1] (MLLamaForMultimodal attribute), [1] (MPNetEmbeddings attribute), [1] (MPNetForQuestionAnswering attribute), [1] (MPNetForSequenceClassification attribute), [1] (MPNetForTokenClassification attribute), [1] (MultiClassifierDLModel attribute), [1] (MultiDateMatcher attribute), [1] (MultiDocumentAssembler attribute), [1] (MxbaiEmbeddings attribute), [1] (NerConverter attribute), [1] (NerCrfModel attribute), [1] (NerDLModel attribute), [1] (NerOverwriter attribute), [1] (NGramGenerator attribute), [1] (NLLBTransformer attribute), [1] (NomicEmbeddings attribute), [1] (NormalizerModel attribute), [1] (NorvigSweetingModel attribute), [1] (OLMoTransformer attribute), [1] (OpenAICompletion attribute), [1] (OpenAIEmbeddings attribute), [1] (PaliGemmaForMultiModal attribute), [1] (PartitionTransformer attribute), [1] (PerceptronModel attribute), [1] (Phi2Transformer attribute), [1] (Phi3Transformer attribute), [1] (Phi3Vision attribute), [1] (PromptAssembler attribute), [1] (Qwen2VLTransformer attribute), [1] (QwenTransformer attribute), [1] (RecursiveTokenizer attribute), [1] (RecursiveTokenizerModel attribute), [1] (RegexMatcherModel attribute), [1] (RegexTokenizer attribute), [1] (RoBertaEmbeddings attribute), [1] (RoBertaForMultipleChoice attribute), [1] (RoBertaForQuestionAnswering attribute), [1] (RoBertaForSequenceClassification attribute), [1] (RoBertaForTokenClassification attribute), [1] (RoBertaForZeroShotClassification attribute), [1] (RoBertaSentenceEmbeddings attribute), [1] (SentenceDetector attribute), [1] (SentenceDetectorDLApproach attribute), [1] (SentenceDetectorDLModel attribute), [1] (SentenceEmbeddings attribute), [1] (SentimentDetectorModel attribute), [1] (SentimentDLModel attribute), [1] (SmolVLMTransformer attribute), [1] (SnowFlakeEmbeddings attribute), [1] (SpanBertCorefModel attribute), [1] (StarCoderTransformer attribute), [1] (Stemmer attribute), [1] (StopWordsCleaner attribute), [1] (SwinForImageClassification attribute), [1] (SymmetricDeleteModel attribute), [1] (T5Transformer attribute), [1] (TableAssembler attribute), [1] (TapasForQuestionAnswering attribute), [1] (TextMatcherModel attribute), [1] (Token2Chunk attribute), [1] (TokenAssembler attribute), [1] (Tokenizer attribute), [1] (TokenizerModel attribute), [1] (TypedDependencyParserModel attribute), [1] (UAEEmbeddings attribute), [1] (UniversalSentenceEncoder attribute), [1] (VisionEncoderDecoderForImageCaptioning attribute), [1] (ViTForImageClassification attribute), [1] (ViveknSentimentModel attribute), [1] (Wav2Vec2ForCTC attribute), [1] (WhisperForCTC attribute), [1] (Word2VecModel attribute), [1] (WordEmbeddings attribute), [1] (WordEmbeddingsModel attribute), [1] (WordSegmenterApproach attribute), [1] (WordSegmenterModel attribute), [1] (XlmRoBertaEmbeddings attribute), [1] (XlmRoBertaForMultipleChoice attribute), [1] (XlmRoBertaForQuestionAnswering attribute), [1] (XlmRoBertaForSequenceClassification attribute), [1] (XlmRoBertaForTokenClassification attribute), [1] (XlmRoBertaForZeroShotClassification attribute), [1] (XlmRoBertaSentenceEmbeddings attribute), [1] (XlnetEmbeddings attribute), [1] (XlnetForSequenceClassification attribute), [1] (XlnetForTokenClassification attribute), [1] (YakeKeywordExtraction attribute), [1] (ZeroShotNerModel attribute), [1]

NAMED_ENTITY (AnnotatorType attribute), [1] nBatch (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] nChannels (AnnotationImage attribute) nChunks (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] nCtx (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] nDraft (HasLlamaCppProperties attribute), [1] negativeMultiplier (SentimentDetector attribute), [1] NEGEX (AnnotatorType attribute), [1] ner (in module sparknlp.annotator) NerApproach (class in sparknlp.annotator.ner.ner_approach), [1] NerConverter (class in sparknlp.annotator.ner.ner_converter), [1] NerCrfApproach (class in sparknlp.annotator.ner.ner_crf), [1] NerCrfModel (class in sparknlp.annotator.ner.ner_crf), [1] NerDLApproach (class in sparknlp.annotator.ner.ner_dl), [1] NerDLModel (class in sparknlp.annotator.ner.ner_dl), [1] nerHasNoSchema (NerConverter attribute), [1] NerOverwriter (class in sparknlp.annotator.ner.ner_overwriter), [1] nerWords (NerOverwriter attribute), [1] new_java_array() (ExtendedJavaWrapper method), [1] new_java_array_integer() (ExtendedJavaWrapper method), [1] new_java_array_string() (ExtendedJavaWrapper method), [1] new_java_obj() (ExtendedJavaWrapper method), [1] newAfterNChars (HasChunkerProperties attribute), [1] newNerEntity (NerOverwriter attribute), [1] nGpuLayers (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] nGpuLayersDraft (HasLlamaCppProperties attribute), [1] NGramGenerator (class in sparknlp.annotator.n_gram_generator), [1] nIterations (PerceptronApproach attribute), [1] (WordSegmenterApproach attribute), [1] nKeep (HasLlamaCppProperties attribute), [1] nKeywords (YakeKeywordExtraction attribute), [1] NLLBTransformer (class in sparknlp.annotator.seq2seq.nllb_transformer), [1] NODE (AnnotatorType attribute), [1] noKvOffload (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] NomicEmbeddings (class in sparknlp.annotator.embeddings.nomic_embeddings), [1] noRepeatNgramSize (BartTransformer attribute), [1] (CoHereTransformer attribute), [1] (CPMTransformer attribute), [1] (Florence2Transformer attribute), [1] (Gemma3ForMultiModal attribute), [1] (GPT2Transformer attribute), [1] (HasGeneratorProperties attribute), [1] (InternVLForMultiModal attribute), [1] (JanusForMultiModal attribute), [1] (LLAMA2Transformer attribute), [1] (LLAMA3Transformer attribute), [1] (LLAVAForMultiModal attribute), [1] (M2M100Transformer attribute), [1] (MarianTransformer attribute), [1] (MistralTransformer attribute), [1] (MLLamaForMultimodal attribute), [1] (NLLBTransformer attribute), [1] (OLMoTransformer attribute), [1] (PaliGemmaForMultiModal attribute), [1] (Phi2Transformer attribute), [1] (Phi3Transformer attribute), [1] (Phi3Vision attribute), [1] (Qwen2VLTransformer attribute), [1] (QwenTransformer attribute), [1] (SmolVLMTransformer attribute), [1] (StarCoderTransformer attribute), [1] (T5Transformer attribute), [1] normalizeLigatures (PdfToText attribute), [1] Normalizer (class in sparknlp.annotator.normalizer), [1] NormalizerModel (class in sparknlp.annotator.normalizer), [1] NorvigSweetingApproach (class in sparknlp.annotator.spell_check.norvig_sweeting), [1] NorvigSweetingModel (class in sparknlp.annotator.spell_check.norvig_sweeting), [1] nPredict (HasLlamaCppProperties attribute), [1] nProbs (HasLlamaCppProperties attribute), [1] nReturnSequences (HasGeneratorProperties attribute), [1] nSequences (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] nThreads (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] nThreadsBatch (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] nThreadsBatchDraft (HasLlamaCppProperties attribute), [1] nThreadsDraft (HasLlamaCppProperties attribute), [1] nUbatch (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] numaStrategy (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] numberOfCompletions (OpenAICompletion attribute), [1] numberOfIterations (DependencyParserApproach attribute), [1] (TypedDependencyParserApproach attribute), [1] numberOfNeighbours (DocumentSimilarityRankerApproach attribute), [1] numHashTables (DocumentSimilarityRankerApproach attribute), [1] numOfParallelImages (JanusForMultiModal attribute), [1] numPartitions (DataFrameOptimizer attribute), [1] (Doc2VecApproach attribute), [1] (Word2VecApproach attribute), [1] numTokens (DocumentTokenSplitter attribute), [1] numVisionTokens (SmolVLMTransformer attribute), [1] numWorkers (DataFrameOptimizer attribute), [1]

O

OLMoTransformer (class in sparknlp.annotator.seq2seq.olmo_transformer), [1] onlyPageNum (PdfToText attribute), [1] OpenAICompletion (class in sparknlp.annotator.openai.openai_completion), [1] OpenAIEmbeddings (class in sparknlp.annotator.openai.openai_embeddings), [1] optionalInputAnnotatorTypes (AnnotatorProperties attribute), [1] (EntityRulerApproach attribute), [1] (EntityRulerModel attribute), [1] (GraphExtraction attribute), [1] origin (AnnotationImage attribute) outputAnnotatorType (AlbertEmbeddings attribute), [1] (AlbertForMultipleChoice attribute), [1] (AlbertForQuestionAnswering attribute), [1] (AlbertForSequenceClassification attribute), [1] (AlbertForTokenClassification attribute), [1] (AlbertForZeroShotClassification attribute), [1] (AnnotatorProperties attribute), [1] (AnnotatorTransformer attribute), [1] (AudioAssembler attribute), [1] (AutoGGUFEmbeddings attribute), [1] (AutoGGUFModel attribute), [1] (AutoGGUFVisionModel attribute), [1] (BartForZeroShotClassification attribute), [1] (BartTransformer attribute), [1] (BertEmbeddings attribute), [1] (BertForMultipleChoice attribute), [1] (BertForQuestionAnswering attribute), [1] (BertForSequenceClassification attribute), [1] (BertForTokenClassification attribute), [1] (BertForZeroShotClassification attribute), [1] (BertSentenceEmbeddings attribute), [1] (BGEEmbeddings attribute), [1] (BigTextMatcher attribute), [1] (BigTextMatcherModel attribute), [1] (BLIPForQuestionAnswering attribute), [1] (CamemBertEmbeddings attribute), [1] (CamemBertForQuestionAnswering attribute), [1] (CamemBertForSequenceClassification attribute), [1] (CamemBertForTokenClassification attribute), [1] (CamemBertForZeroShotClassification attribute), [1] (Chunk2Doc attribute), [1] (ChunkEmbeddings attribute), [1] (Chunker attribute), [1] (ClassifierDLApproach attribute), [1] (ClassifierDLModel attribute), [1] (Cleaner attribute), [1] (CLIPForZeroShotClassification attribute), [1] (CoHereTransformer attribute), [1] (ContextSpellCheckerApproach attribute), [1] (ContextSpellCheckerModel attribute), [1] (ConvNextForImageClassification attribute), [1] (CPMTransformer attribute), [1] (Date2Chunk attribute), [1] (DateMatcher attribute), [1] (DeBertaEmbeddings attribute), [1] (DeBertaForQuestionAnswering attribute), [1] (DeBertaForSequenceClassification attribute), [1] (DeBertaForTokenClassification attribute), [1] (DeBertaForZeroShotClassification attribute), [1] (DependencyParserApproach attribute), [1] (DependencyParserModel attribute), [1] (DistilBertEmbeddings attribute), [1] (DistilBertForMultipleChoice attribute), [1] (DistilBertForQuestionAnswering attribute), [1] (DistilBertForSequenceClassification attribute), [1] (DistilBertForTokenClassification attribute), [1] (DistilBertForZeroShotClassification attribute), [1] (Doc2Chunk attribute), [1] (Doc2VecApproach attribute), [1] (Doc2VecModel attribute), [1] (DocumentAssembler attribute), [1] (DocumentCharacterTextSplitter attribute), [1] (DocumentNormalizer attribute), [1] (DocumentSimilarityRankerApproach attribute), [1] (DocumentSimilarityRankerModel attribute), [1] (DocumentTokenSplitter attribute), [1] (E5Embeddings attribute), [1] (E5VEmbeddings attribute), [1] (ElmoEmbeddings attribute), [1] (EntityRulerApproach attribute), [1] (EntityRulerModel attribute), [1] (Extractor attribute), [1] (Florence2Transformer attribute), [1] (Gemma3ForMultiModal attribute), [1] (GPT2Transformer attribute), [1] (GraphExtraction attribute), [1] (HubertForCTC attribute), [1] (ImageAssembler attribute), [1] (InstructorEmbeddings attribute), [1] (InternVLForMultiModal attribute), [1] (JanusForMultiModal attribute), [1] (LanguageDetectorDL attribute), [1] (Lemmatizer attribute), [1] (LemmatizerModel attribute), [1] (LLAMA2Transformer attribute), [1] (LLAMA3Transformer attribute), [1] (LLAVAForMultiModal attribute), [1] (LongformerEmbeddings attribute), [1] (LongformerForQuestionAnswering attribute), [1] (LongformerForSequenceClassification attribute), [1] (LongformerForTokenClassification attribute), [1] (M2M100Transformer attribute), [1] (MarianTransformer attribute), [1] (MiniLMEmbeddings attribute), [1] (MistralTransformer attribute), [1] (MLLamaForMultimodal attribute), [1] (MPNetEmbeddings attribute), [1] (MPNetForQuestionAnswering attribute), [1] (MPNetForSequenceClassification attribute), [1] (MPNetForTokenClassification attribute), [1] (MultiClassifierDLApproach attribute), [1] (MultiClassifierDLModel attribute), [1] (MultiDateMatcher attribute), [1] (MultiDocumentAssembler attribute), [1] (MxbaiEmbeddings attribute), [1] (NerConverter attribute), [1] (NerCrfApproach attribute), [1] (NerCrfModel attribute), [1] (NerDLApproach attribute), [1] (NerDLModel attribute), [1] (NerOverwriter attribute), [1] (NGramGenerator attribute), [1] (NLLBTransformer attribute), [1] (NomicEmbeddings attribute), [1] (Normalizer attribute), [1] (NormalizerModel attribute), [1] (NorvigSweetingApproach attribute), [1] (NorvigSweetingModel attribute), [1] (OLMoTransformer attribute), [1] (OpenAICompletion attribute), [1] (OpenAIEmbeddings attribute), [1] (PaliGemmaForMultiModal attribute), [1] (PartitionTransformer attribute), [1] (PerceptronApproach attribute), [1] (PerceptronModel attribute), [1] (Phi2Transformer attribute), [1] (Phi3Transformer attribute), [1] (Phi3Vision attribute), [1] (PromptAssembler attribute), [1] (Qwen2VLTransformer attribute), [1] (QwenTransformer attribute), [1] (RecursiveTokenizer attribute), [1] (RecursiveTokenizerModel attribute), [1] (RegexMatcher attribute), [1] (RegexMatcherModel attribute), [1] (RegexTokenizer attribute), [1] (RoBertaEmbeddings attribute), [1] (RoBertaForMultipleChoice attribute), [1] (RoBertaForQuestionAnswering attribute), [1] (RoBertaForSequenceClassification attribute), [1] (RoBertaForTokenClassification attribute), [1] (RoBertaForZeroShotClassification attribute), [1] (RoBertaSentenceEmbeddings attribute), [1] (SentenceDetector attribute), [1] (SentenceDetectorDLApproach attribute), [1] (SentenceDetectorDLModel attribute), [1] (SentenceEmbeddings attribute), [1] (SentimentDetector attribute), [1] (SentimentDetectorModel attribute), [1] (SentimentDLApproach attribute), [1] (SentimentDLModel attribute), [1] (SmolVLMTransformer attribute), [1] (SnowFlakeEmbeddings attribute), [1] (SpanBertCorefModel attribute), [1] (StarCoderTransformer attribute), [1] (Stemmer attribute), [1] (StopWordsCleaner attribute), [1] (SwinForImageClassification attribute), [1] (SymmetricDeleteApproach attribute), [1] (SymmetricDeleteModel attribute), [1] (T5Transformer attribute), [1] (TableAssembler attribute), [1] (TextMatcher attribute), [1] (TextMatcherModel attribute), [1] (Token2Chunk attribute), [1] (TokenAssembler attribute), [1] (Tokenizer attribute), [1] (TokenizerModel attribute), [1] (TypedDependencyParserApproach attribute), [1] (TypedDependencyParserModel attribute), [1] (UAEEmbeddings attribute), [1] (UniversalSentenceEncoder attribute), [1] (VisionEncoderDecoderForImageCaptioning attribute), [1] (ViTForImageClassification attribute), [1] (ViveknSentimentApproach attribute), [1] (ViveknSentimentModel attribute), [1] (Wav2Vec2ForCTC attribute), [1] (WhisperForCTC attribute), [1] (Word2VecApproach attribute), [1] (Word2VecModel attribute), [1] (WordEmbeddings attribute), [1] (WordEmbeddingsModel attribute), [1] (WordSegmenterApproach attribute), [1] (WordSegmenterModel attribute), [1] (XlmRoBertaEmbeddings attribute), [1] (XlmRoBertaForMultipleChoice attribute), [1] (XlmRoBertaForQuestionAnswering attribute), [1] (XlmRoBertaForSequenceClassification attribute), [1] (XlmRoBertaForTokenClassification attribute), [1] (XlmRoBertaForZeroShotClassification attribute), [1] (XlmRoBertaSentenceEmbeddings attribute), [1] (XlnetEmbeddings attribute), [1] (XlnetForSequenceClassification attribute), [1] (XlnetForTokenClassification attribute), [1] (YakeKeywordExtraction attribute), [1] (ZeroShotNerModel attribute), [1]

outputAsArray (Finisher attribute), [1] (GraphFinisher attribute), [1] outputAsVector (EmbeddingsFinisher attribute), [1] outputCol (AnnotatorProperties attribute), [1] (AudioAssembler attribute), [1] (DocumentAssembler attribute), [1] (GraphFinisher attribute), [1] (ImageAssembler attribute), [1] (PromptAssembler attribute), [1] outputCols (DocumentSimilarityRankerFinisher attribute), [1] (EmbeddingsFinisher attribute), [1] (Finisher attribute), [1] (MultiDocumentAssembler attribute), [1] outputFormat (DateMatcherUtils attribute), [1] outputLogsPath (EvaluationDLParams attribute), [1] (SentenceDetectorDLApproach attribute), [1] outputOptions (DataFrameOptimizer attribute), [1] overallCoverage() (WordEmbeddingsModel static method), [1] overlap (HasChunkerProperties attribute), [1] overlapAll (HasChunkerProperties attribute), [1]

P

paddingConstant (SmolVLMTransformer attribute), [1] paddingSide (HasAudioFeatureProperties attribute), [1] paddingValue (HasAudioFeatureProperties attribute), [1] pageNumCol (PdfToText attribute), [1] PaliGemmaForMultiModal (class in sparknlp.annotator.cv.paligemma_for_multimodal), [1] paragraphSplit (HasTextReaderProperties attribute), [1] ParamsGettersSetters (class in sparknlp.internal.params_getters_setters), [1] parse_embeddings (LightPipeline attribute) parseEmbeddingsVectors (Finisher attribute), [1] parser (in module sparknlp.annotator) Partition (class in sparknlp.partition.partition), [1] partition() (Partition method), [1] partition_text() (Partition method), [1] partition_urls() (Partition method), [1] partitionNum (PdfToText attribute), [1] PartitionTransformer (class in sparknlp.partition.partition_transformer), [1] patchSize (SmolVLMTransformer attribute), [1] pattern (RegexTokenizer attribute), [1] (WordSegmenterApproach attribute), [1] (WordSegmenterModel attribute), [1] patterns (DocumentNormalizer attribute), [1] patternsAreRegex (DocumentCharacterTextSplitter attribute), [1] patternsResource (EntityRulerApproach attribute), [1] pdf() (SparkNLPReader method), [1] PDF_LAYOUT_TEXT_STRIPPER (TextStripperType attribute), [1] PDF_TEXT_STRIPPER (TextStripperType attribute), [1] PdfToText (class in sparknlp.reader.pdf_to_text), [1] penalizeNl (HasLlamaCppProperties attribute), [1] penaltyPrompt (HasLlamaCppProperties attribute), [1] percentage (CoverageResult attribute) perceptron (DependencyParserModel attribute), [1] PerceptronApproach (class in sparknlp.annotator.pos.perceptron), [1] PerceptronModel (class in sparknlp.annotator.pos.perceptron), [1] persistFormat (DataFrameOptimizer attribute), [1] persistPath (DataFrameOptimizer attribute), [1] Phi2Transformer (class in sparknlp.annotator.seq2seq.phi2_transformer), [1] Phi3Transformer (class in sparknlp.annotator.seq2seq.phi3_transformer), [1] Phi3Vision (class in sparknlp.annotator.cv.phi3_vision_for_multimodal), [1] pipeline_model (LightPipeline attribute) po (NerDLApproach attribute), [1] policy (DocumentNormalizer attribute), [1] poolingLayer (ElmoEmbeddings attribute), [1] poolingStrategy (ChunkEmbeddings attribute), [1] (MxbaiEmbeddings attribute), [1] (SentenceEmbeddings attribute), [1] (SnowFlakeEmbeddings attribute), [1] (UAEEmbeddings attribute), [1] poolingType (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] POS (AnnotatorType attribute), [1] (class in sparknlp.training.pos), [1] pos (in module sparknlp.annotator) posCol (PerceptronApproach attribute), [1] (WordSegmenterApproach attribute), [1] positionalMask (RegexTokenizer attribute), [1] positiveMultiplier (SentimentDetector attribute), [1] (SentimentDetectorModel attribute), [1] posModel (GraphExtraction attribute), [1] ppt() (SparkNLPReader method), [1] predictionThreshold (ZeroShotNerModel attribute), [1] prefixes (RecursiveTokenizer attribute), [1] prefixPattern (Tokenizer attribute), [1] presencePenalty (HasLlamaCppProperties attribute), [1] (OpenAICompletion attribute), [1] preservePosition (NerConverter attribute), [1] (RegexTokenizer attribute), [1] (TokenAssembler attribute), [1] pretrained() (AlbertEmbeddings static method), [1] (AlbertForMultipleChoice static method), [1] (AlbertForQuestionAnswering static method), [1] (AlbertForSequenceClassification static method), [1] (AlbertForTokenClassification static method), [1] (AlbertForZeroShotClassification static method), [1] (AutoGGUFEmbeddings static method), [1] (AutoGGUFModel static method), [1] (AutoGGUFVisionModel static method), [1] (BartForZeroShotClassification static method), [1] (BartTransformer static method), [1] (BertEmbeddings static method), [1] (BertForMultipleChoice static method), [1] (BertForQuestionAnswering static method), [1] (BertForSequenceClassification static method), [1] (BertForTokenClassification static method), [1] (BertForZeroShotClassification static method), [1] (BertSentenceEmbeddings static method), [1] (BGEEmbeddings static method), [1] (BigTextMatcherModel static method), [1] (BLIPForQuestionAnswering static method), [1] (CamemBertEmbeddings static method), [1] (CamemBertForQuestionAnswering static method), [1] (CamemBertForSequenceClassification static method), [1] (CamemBertForTokenClassification static method), [1] (CamemBertForZeroShotClassification static method), [1] (ClassifierDLModel static method), [1] (CLIPForZeroShotClassification static method), [1] (CoHereTransformer static method), [1] (ContextSpellCheckerModel static method), [1] (ConvNextForImageClassification static method), [1] (CPMTransformer static method), [1] (DeBertaEmbeddings static method), [1] (DeBertaForQuestionAnswering static method), [1] (DeBertaForSequenceClassification static method), [1] (DeBertaForTokenClassification static method), [1] (DeBertaForZeroShotClassification static method), [1] (DependencyParserModel static method), [1] (DistilBertEmbeddings static method), [1] (DistilBertForMultipleChoice static method), [1] (DistilBertForQuestionAnswering static method), [1] (DistilBertForSequenceClassification static method), [1] (DistilBertForTokenClassification static method), [1] (DistilBertForZeroShotClassification static method), [1] (Doc2VecModel static method), [1] (E5Embeddings static method), [1] (E5VEmbeddings static method), [1] (ElmoEmbeddings static method), [1] (EntityRulerModel static method), [1] (Florence2Transformer static method), [1] (Gemma3ForMultiModal static method), [1] (GPT2Transformer static method), [1] (HubertForCTC static method), [1] (InstructorEmbeddings static method), [1] (InternVLForMultiModal static method), [1] (JanusForMultiModal static method), [1] (LanguageDetectorDL static method), [1] (LemmatizerModel static method), [1] (LLAMA2Transformer static method), [1] (LLAMA3Transformer static method), [1] (LLAVAForMultiModal static method), [1] (LongformerEmbeddings static method), [1] (LongformerForQuestionAnswering static method), [1] (LongformerForSequenceClassification static method), [1] (LongformerForTokenClassification static method), [1] (M2M100Transformer static method), [1] (MarianTransformer static method), [1] (MiniLMEmbeddings static method), [1] (MistralTransformer static method), [1] (MLLamaForMultimodal static method), [1] (MPNetEmbeddings static method), [1] (MPNetForQuestionAnswering static method), [1] (MPNetForSequenceClassification static method), [1] (MPNetForTokenClassification static method), [1] (MultiClassifierDLModel static method), [1] (MxbaiEmbeddings static method), [1] (NerCrfModel static method), [1] (NerDLModel static method), [1] (NLLBTransformer static method), [1] (NomicEmbeddings static method), [1] (NorvigSweetingModel static method), [1] (OLMoTransformer static method), [1] (PaliGemmaForMultiModal static method), [1] (PerceptronModel static method), [1] (Phi2Transformer static method), [1] (Phi3Transformer static method), [1] (Phi3Vision static method), [1] (Qwen2VLTransformer static method), [1] (QwenTransformer static method), [1] (RoBertaEmbeddings static method), [1] (RoBertaForMultipleChoice static method), [1] (RoBertaForQuestionAnswering static method), [1] (RoBertaForSequenceClassification static method), [1] (RoBertaForTokenClassification static method), [1] (RoBertaForZeroShotClassification static method), [1] (RoBertaSentenceEmbeddings static method), [1] (SentenceDetectorDLModel static method), [1] (SentimentDLModel static method), [1] (SmolVLMTransformer static method), [1] (SnowFlakeEmbeddings static method), [1] (SpanBertCorefModel static method), [1] (StarCoderTransformer static method), [1] (StopWordsCleaner static method), [1] (SwinForImageClassification static method), [1] (SymmetricDeleteModel static method), [1] (T5Transformer static method), [1] (TapasForQuestionAnswering static method), [1] (TextMatcherModel static method), [1] (TokenizerModel static method), [1] (TypedDependencyParserModel static method), [1] (UAEEmbeddings static method), [1] (UniversalSentenceEncoder static method), [1] (VisionEncoderDecoderForImageCaptioning static method), [1] (ViTForImageClassification static method), [1] (ViveknSentimentModel static method), [1] (Wav2Vec2ForCTC static method), [1] (WhisperForCTC static method), [1] (Word2VecModel static method), [1] (WordEmbeddingsModel static method), [1] (WordSegmenterModel static method), [1] (XlmRoBertaEmbeddings static method), [1] (XlmRoBertaForMultipleChoice static method), [1] (XlmRoBertaForQuestionAnswering static method), [1] (XlmRoBertaForSequenceClassification static method), [1] (XlmRoBertaForTokenClassification static method), [1] (XlmRoBertaForZeroShotClassification static method), [1] (XlmRoBertaSentenceEmbeddings static method), [1] (XlnetEmbeddings static method), [1] (XlnetForSequenceClassification static method), [1] (XlnetForTokenClassification static method), [1] (ZeroShotNerModel static method), [1]

PretrainedPipeline (class in sparknlp.pretrained.pretrained_pipeline), [1] printProgress() (in module sparknlp.pretrained.utils), [1] project_name (CometLogger attribute) PromptAssembler (class in sparknlp.base.prompt_assembler), [1] pruneCorpus (ViveknSentimentApproach attribute), [1] pSplit (HasLlamaCppProperties attribute), [1] PubTator (class in sparknlp.training.pub_tator), [1] push_to_hub() (PushToHub method), [1] PushToHub (class in sparknlp.upload_to_hub), [1]

Q

Qwen2VLTransformer (class in sparknlp.annotator.cv.qwen2vl_transformer), [1]

QwenTransformer (class in sparknlp.annotator.seq2seq.qwen_transformer), [1]

R

randomSeed (ClassifierEncoder attribute), [1] (NerApproach attribute), [1] read() (AnnotatorJavaMLReadable class method), [1] (in module sparknlp), [1] ReadAs (class in sparknlp.common.read_as), [1] readCacheSize (WordEmbeddings attribute), [1] (WordEmbeddingsModel attribute), [1] readDataset() (CoNLL method), [1] (CoNLLU method), [1] (POS method), [1] (PubTator method), [1] readJsonFile() (SpacyToAnnotation method), [1] readMonthFirst (DateMatcherUtils attribute), [1] RecursiveAnnotatorApproach (class in sparknlp.common.recursive_annotator_approach), [1] RecursiveEstimator (class in sparknlp.internal.recursive), [1] RecursivePipeline (class in sparknlp.base.recursive_pipeline), [1] RecursivePipelineModel (class in sparknlp.base.recursive_pipeline), [1] RecursiveTokenizer (class in sparknlp.annotator.token.recursive_tokenizer), [1] RecursiveTokenizerModel (class in sparknlp.annotator.token.recursive_tokenizer), [1] RecursiveTransformer (class in sparknlp.internal.recursive), [1] reductLimit (NorvigSweetingApproach attribute), [1] regex (in module sparknlp.annotator) RegexMatcher (class in sparknlp.annotator.matcher.regex_matcher), [1] RegexMatcherModel (class in sparknlp.annotator.matcher.regex_matcher), [1] regexParsers (Chunker attribute), [1] RegexRule() (in module sparknlp.common.utils), [1] RegexTokenizer (class in sparknlp.annotator.token.regex_tokenizer), [1] relationshipTypes (GraphExtraction attribute), [1] relaxedFactoryStrategy (DateMatcherUtils attribute), [1] repeatLastN (HasLlamaCppProperties attribute), [1] repeatPenalty (HasLlamaCppProperties attribute), [1] repetitionPenalty (BartTransformer attribute), [1] (CoHereTransformer attribute), [1] (CPMTransformer attribute), [1] (Florence2Transformer attribute), [1] (Gemma3ForMultiModal attribute), [1] (GPT2Transformer attribute), [1] (HasGeneratorProperties attribute), [1] (InternVLForMultiModal attribute), [1] (JanusForMultiModal attribute), [1] (LLAMA2Transformer attribute), [1] (LLAMA3Transformer attribute), [1] (LLAVAForMultiModal attribute), [1] (M2M100Transformer attribute), [1] (MarianTransformer attribute), [1] (MistralTransformer attribute), [1] (MLLamaForMultimodal attribute), [1] (NLLBTransformer attribute), [1] (OLMoTransformer attribute), [1] (PaliGemmaForMultiModal attribute), [1] (Phi2Transformer attribute), [1] (Phi3Transformer attribute), [1] (Phi3Vision attribute), [1] (Qwen2VLTransformer attribute), [1] (QwenTransformer attribute), [1] (SmolVLMTransformer attribute), [1] (StarCoderTransformer attribute), [1] (T5Transformer attribute), [1]

replaceEntities (NerOverwriter attribute), [1] replacement (DocumentNormalizer attribute), [1] resample (HasImageFeatureProperties attribute), [1] rescaleFactor (ConvNextForImageClassification attribute), [1] (HasRescaleFactor attribute), [1] ResourceDownloader (class in sparknlp.pretrained.resource_downloader), [1] result (Annotation attribute) (AnnotationAudio attribute) (AnnotationImage attribute) returnAttentionMask (HasAudioFeatureProperties attribute), [1] reverseMultiplier (SentimentDetector attribute), [1] RoBertaEmbeddings (class in sparknlp.annotator.embeddings.roberta_embeddings), [1] RoBertaForMultipleChoice (class in sparknlp.annotator.classifier_dl.roberta_for_multiple_choice), [1] RoBertaForQuestionAnswering (class in sparknlp.annotator.classifier_dl.roberta_for_question_answering), [1] RoBertaForSequenceClassification (class in sparknlp.annotator.classifier_dl.roberta_for_sequence_classification), [1] RoBertaForTokenClassification (class in sparknlp.annotator.classifier_dl.roberta_for_token_classification), [1] RoBertaForZeroShotClassification (class in sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification), [1] RoBertaSentenceEmbeddings (class in sparknlp.annotator.embeddings.roberta_sentence_embeddings), [1] rootTokens (GraphExtraction attribute), [1] ropeFreqBase (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] ropeFreqScale (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] ropeScalingType (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] rules (RegexMatcher attribute), [1] (TokenizerModel attribute), [1]

S

samplers (HasLlamaCppProperties attribute), [1] samplingRate (HasAudioFeatureProperties attribute), [1] saveStorage() (HasStorageModel method), [1] sbd (in module sparknlp.annotator) sc (ExtendedJavaWrapper attribute) sda (in module sparknlp.annotator) searchTrie (BigTextMatcherModel attribute), [1] (TextMatcherModel attribute), [1] seed (Doc2VecApproach attribute), [1] (HasLlamaCppProperties attribute), [1] (Word2VecApproach attribute), [1] sentence_detector_dl (in module sparknlp.annotator) SENTENCE_EMBEDDINGS (AnnotatorType attribute), [1] SentenceDetector (class in sparknlp.annotator.sentence.sentence_detector), [1] SentenceDetectorDLApproach (class in sparknlp.annotator.sentence.sentence_detector_dl), [1] SentenceDetectorDLModel (class in sparknlp.annotator.sentence.sentence_detector_dl), [1] SentenceDetectorParams (class in sparknlp.annotator.sentence.sentence_detector), [1] SentenceEmbeddings (class in sparknlp.annotator.embeddings.sentence_embeddings), [1] sentenceMatch (EntityRulerApproach attribute), [1] SENTIMENT (AnnotatorType attribute), [1] sentimentCol (ViveknSentimentApproach attribute), [1] SentimentDetector (class in sparknlp.annotator.sentiment.sentiment_detector), [1] SentimentDetectorModel (class in sparknlp.annotator.sentiment.sentiment_detector), [1] SentimentDLApproach (class in sparknlp.annotator.classifier_dl.sentiment_dl), [1] SentimentDLModel (class in sparknlp.annotator.classifier_dl.sentiment_dl), [1] seq2seq (in module sparknlp.annotator) setAction() (DocumentNormalizer method), [1] setActivation() (HasClassifierActivationProperties method), [1] setAddAssistant() (PromptAssembler method), [1] setAddAttachmentContent() (HasEmailReaderProperties method), [1] setAggregationMethod() (DocumentSimilarityRankerApproach method), [1] setAggressiveMatching() (DateMatcherUtils method), [1] setAlphabetResource() (EntityRulerApproach method), [1] setAmbiguityThreshold() (WordSegmenterApproach method), [1] setAnchorDateDay() (DateMatcherUtils method), [1] setAnchorDateMonth() (DateMatcherUtils method), [1] setAnchorDateYear() (DateMatcherUtils method), [1] setAnnotationSplitSymbol() (Finisher method), [1] setAppendCells() (HasExcelReaderProperties method), [1] setBatchSize() (ClassifierEncoder method), [1] (ContextSpellCheckerApproach method), [1] (ElmoEmbeddings method), [1] (Florence2Transformer method), [1] (HasBatchedAnnotate method), [1] (HasBatchedAnnotateAudio method), [1] (HasBatchedAnnotateImage method), [1] (NerDLApproach method), [1] setBeamSize() (BartTransformer method), [1] (CoHereTransformer method), [1] (Florence2Transformer method), [1] (Gemma3ForMultiModal method), [1] (HasGeneratorProperties method), [1] (InternVLForMultiModal method), [1] (JanusForMultiModal method), [1] (LLAMA3Transformer method), [1] (LLAVAForMultiModal method), [1] (M2M100Transformer method), [1] (MLLamaForMultimodal method), [1] (NLLBTransformer method), [1] (PaliGemmaForMultiModal method), [1] (Phi3Vision method), [1] (Qwen2VLTransformer method), [1] (SmolVLMTransformer method), [1] setBestModelMetric() (NerDLApproach method), [1] setBestOf() (OpenAICompletion method), [1] setBucketLength() (DocumentSimilarityRankerApproach method), [1] setBuildFromTokens() (TextMatcher method), [1] (TextMatcherModel method), [1] setBullets() (Cleaner method), [1] setC0() (NerCrfApproach method), [1] setCache() (BartTransformer method), [1] setCachePrompt() (HasLlamaCppProperties method), [1] setCandidateLabels() (HasCandidateLabelsProperties method), [1] setCaseSensitive() (BigTextMatcher method), [1] (BigTextMatcherModel method), [1] (HasCaseSensitiveProperties method), [1] (NorvigSweetingApproach method), [1] (StopWordsCleaner method), [1] (TextMatcher method), [1] setCaseSensitiveExceptions() (Tokenizer method), [1] setCaseStrategy() (ContextSpellCheckerApproach method), [1] (ContextSpellCheckerModel method), [1] setCellSeparator() (HasExcelReaderProperties method), [1] setChatTemplate() (HasLlamaCppProperties method), [1] (PromptAssembler method), [1] setChoicesDelimiter() (AlbertForMultipleChoice method), [1] (BertForMultipleChoice method), [1] (DistilBertForMultipleChoice method), [1] (RoBertaForMultipleChoice method), [1] setChunkCol() (Doc2Chunk method), [1] setChunkingStrategy() (HasChunkerProperties method), [1] setChunkOverlap() (DocumentCharacterTextSplitter method), [1] setChunkSize() (DocumentCharacterTextSplitter method), [1] setClassCount() (ContextSpellCheckerApproach method), [1] setClasses() (ContextSpellCheckerModel method), [1] setCleanAnnotations() (EmbeddingsFinisher method), [1] (Finisher method), [1] (GraphFinisher method), [1] setCleanerMode() (Cleaner method), [1] setCleanPostfixPattern() (Cleaner method), [1] setCleanPrefixPattern() (Cleaner method), [1] setCleanupMode() (DocumentAssembler method), [1] (MultiDocumentAssembler method), [1] setCleanupPatterns() (Normalizer method), [1] setCoalesceSentences() (AlbertForSequenceClassification method), [1] (AlbertForZeroShotClassification method), [1] (BartForZeroShotClassification method), [1] (BertForSequenceClassification method), [1] (BertForZeroShotClassification method), [1] (CamemBertForSequenceClassification method), [1] (CamemBertForZeroShotClassification method), [1] (DeBertaForSequenceClassification method), [1] (DeBertaForZeroShotClassification method), [1] (DistilBertForSequenceClassification method), [1] (DistilBertForZeroShotClassification method), [1] (LanguageDetectorDL method), [1] (LongformerForSequenceClassification method), [1] (MPNetForSequenceClassification method), [1] (RoBertaForSequenceClassification method), [1] (RoBertaForZeroShotClassification method), [1] (XlmRoBertaForSequenceClassification method), [1] (XlmRoBertaForZeroShotClassification method), [1] (XlnetForSequenceClassification method), [1] setCombineTextUnderNChars() (HasChunkerProperties method), [1] setCompareLowcase() (ContextSpellCheckerModel method), [1] setCompoundCount() (ContextSpellCheckerApproach method), [1] setConfigProtoBytes() (AlbertEmbeddings method), [1] (AlbertForQuestionAnswering method), [1] (AlbertForSequenceClassification method), [1] (AlbertForTokenClassification method), [1] (AlbertForZeroShotClassification method), [1] (BartForZeroShotClassification method), [1] (BartTransformer method), [1] (BertEmbeddings method), [1] (BertForQuestionAnswering method), [1] (BertForSequenceClassification method), [1] (BertForTokenClassification method), [1] (BertForZeroShotClassification method), [1] (BertSentenceEmbeddings method), [1] (BGEEmbeddings method), [1] (CamemBertEmbeddings method), [1] (CamemBertForQuestionAnswering method), [1] (CamemBertForSequenceClassification method), [1] (CamemBertForTokenClassification method), [1] (CamemBertForZeroShotClassification method), [1] (ClassifierDLModel method), [1] (ClassifierEncoder method), [1] (CoHereTransformer method), [1] (ContextSpellCheckerApproach method), [1] (ContextSpellCheckerModel method), [1] (ConvNextForImageClassification method), [1] (CPMTransformer method), [1] (DeBertaEmbeddings method), [1] (DeBertaForQuestionAnswering method), [1] (DeBertaForSequenceClassification method), [1] (DeBertaForTokenClassification method), [1] (DeBertaForZeroShotClassification method), [1] (DistilBertEmbeddings method), [1] (DistilBertForQuestionAnswering method), [1] (DistilBertForSequenceClassification method), [1] (DistilBertForTokenClassification method), [1] (DistilBertForZeroShotClassification method), [1] (E5Embeddings method), [1] (ElmoEmbeddings method), [1] (Gemma3ForMultiModal method), [1] (GPT2Transformer method), [1] (HubertForCTC method), [1] (InstructorEmbeddings method), [1] (JanusForMultiModal method), [1] (LanguageDetectorDL method), [1] (LLAMA2Transformer method), [1] (LLAMA3Transformer method), [1] (LLAVAForMultiModal method), [1] (LongformerEmbeddings method), [1] (LongformerForQuestionAnswering method), [1] (LongformerForSequenceClassification method), [1] (LongformerForTokenClassification method), [1] (M2M100Transformer method), [1] (MarianTransformer method), [1] (MiniLMEmbeddings method), [1] (MistralTransformer method), [1] (MLLamaForMultimodal method), [1] (MPNetEmbeddings method), [1] (MPNetForTokenClassification method), [1] (MultiClassifierDLModel method), [1] (NerDLApproach method), [1] (NerDLModel method), [1] (NLLBTransformer method), [1] (NomicEmbeddings method), [1] (OLMoTransformer method), [1] (Phi2Transformer method), [1] (Phi3Transformer method), [1] (Phi3Vision method), [1] (Qwen2VLTransformer method), [1] (QwenTransformer method), [1] (RoBertaEmbeddings method), [1] (RoBertaForQuestionAnswering method), [1] (RoBertaForSequenceClassification method), [1] (RoBertaForTokenClassification method), [1] (RoBertaForZeroShotClassification method), [1] (RoBertaSentenceEmbeddings method), [1] (SentimentDLModel method), [1] (SmolVLMTransformer method), [1] (SpanBertCorefModel method), [1] (StarCoderTransformer method), [1] (SwinForImageClassification method), [1] (T5Transformer method), [1] (UniversalSentenceEncoder method), [1] (VisionEncoderDecoderForImageCaptioning method), [1] (ViTForImageClassification method), [1] (Wav2Vec2ForCTC method), [1] (WhisperForCTC method), [1] (XlmRoBertaEmbeddings method), [1] (XlmRoBertaForQuestionAnswering method), [1] (XlmRoBertaForSequenceClassification method), [1] (XlmRoBertaForTokenClassification method), [1] (XlmRoBertaForZeroShotClassification method), [1] (XlmRoBertaSentenceEmbeddings method), [1] (XlnetEmbeddings method), [1] (XlnetForSequenceClassification method), [1] (XlnetForTokenClassification method), [1] setConll2009() (TypedDependencyParserApproach method), [1] setConllU() (DependencyParserApproach method), [1] (TypedDependencyParserApproach method), [1] setContentPath() (PartitionTransformer method), [1] setContentType() (PartitionTransformer method), [1] setContextChars() (Tokenizer method), [1] setContradictionIdParam() (HasCandidateLabelsProperties method), [1] setCorrectSymbols() (ContextSpellCheckerModel method), [1] setCropPct() (ConvNextForImageClassification method), [1] setCsvDelimiter() (TableAssembler method), [1] setCustomBounds() (SentenceDetector method), [1] (SentenceDetectorDLModel method), [1] setCustomBoundsStrategy() (SentenceDetector method), [1] setDashes() (Cleaner method), [1] setDefaultDayWhenMissing() (DateMatcherUtils method), [1] setDefragmentationThreshold() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setDeletesThreshold() (SymmetricDeleteApproach method), [1] setDelimiter() (GraphExtraction method), [1] (NGramGenerator method), [1] (RegexMatcher method), [1] setDependencyParserModel() (GraphExtraction method), [1] setDependencyTreeBank() (DependencyParserApproach method), [1] setDetectLists() (SentenceDetector method), [1] setDictionary() (Lemmatizer method), [1] (NorvigSweetingApproach method), [1] (SentimentDetector method), [1] (SymmetricDeleteApproach method), [1] setDimension() (HasEmbeddingsProperties method), [1] setDisableTokenIds() (HasLlamaCppProperties method), [1] setDoCache() (DataFrameOptimizer method), [1] setDoImageSplitting() (SmolVLMTransformer method), [1] setDoNormalize() (HasAudioFeatureProperties method), [1] (HasImageFeatureProperties method), [1] setDoRescale() (ConvNextForImageClassification method), [1] (HasRescaleFactor method), [1] setDoResize() (HasImageFeatureProperties method), [1] setDoSample() (BartTransformer method), [1] (CoHereTransformer method), [1] (CPMTransformer method), [1] (Florence2Transformer method), [1] (Gemma3ForMultiModal method), [1] (GPT2Transformer method), [1] (HasGeneratorProperties method), [1] (InternVLForMultiModal method), [1] (JanusForMultiModal method), [1] (LLAMA2Transformer method), [1] (LLAMA3Transformer method), [1] (LLAVAForMultiModal method), [1] (M2M100Transformer method), [1] (MarianTransformer method), [1] (MistralTransformer method), [1] (MLLamaForMultimodal method), [1] (NLLBTransformer method), [1] (OLMoTransformer method), [1] (PaliGemmaForMultiModal method), [1] (Phi2Transformer method), [1] (Phi3Transformer method), [1] (Phi3Vision method), [1] (Qwen2VLTransformer method), [1] (QwenTransformer method), [1] (SmolVLMTransformer method), [1] (StarCoderTransformer method), [1] (T5Transformer method), [1] setDoubleVariants() (NorvigSweetingApproach method), [1] setDropout() (ClassifierDLApproach method), [1] (NerDLApproach method), [1] (SentimentDLApproach method), [1] setDynamicTemperatureExponent() (HasLlamaCppProperties method), [1] setDynamicTemperatureRange() (HasLlamaCppProperties method), [1] setEcho() (OpenAICompletion method), [1] setEmailAddress() (Extractor method), [1] setEmailDateTimeTzPattern() (Extractor method), [1] setEmbedding() (HasLlamaCppProperties method), [1] setEnableCaching() (HasEnableCachingProperties method), [1] setEnableCumulative() (NGramGenerator method), [1] setEnableInMemoryStorage() (HasStorageOptions method), [1] setEnableMemoryOptimizer() (NerDLApproach method), [1] setEnableOutputLogs() (EvaluationDLParams method), [1] setEnableRegexTokenizer() (WordSegmenterApproach method), [1] (WordSegmenterModel method), [1] setEncoding() (Cleaner method), [1] (DocumentNormalizer method), [1] setEntailmentIdParam() (HasCandidateLabelsProperties method), [1] setEntities() (BigTextMatcher method), [1] (NerApproach method), [1] (TextMatcher method), [1] setEntityDefinitions() (ZeroShotNerModel method), [1] setEntityName() (Date2Chunk method), [1] setEntityTypes() (GraphExtraction method), [1] setEntityValue() (TextMatcher method), [1] (TextMatcherModel method), [1] setEpochs() (ContextSpellCheckerApproach method), [1] setEpochsNumber() (SentenceDetectorDLApproach method), [1] setErrorThreshold() (ContextSpellCheckerApproach method), [1] (ContextSpellCheckerModel method), [1] setEscapeCsvDelimiter() (TableAssembler method), [1] setEvaluationLogExtended() (EvaluationDLParams method), [1] setExceptions() (Tokenizer method), [1] setExceptionsPath() (Tokenizer method), [1] setExecutorCores() (DataFrameOptimizer method), [1] setExplodeEntities() (GraphExtraction method), [1] setExplodeSentences() (SentenceDetector method), [1] (SentenceDetectorDLApproach method), [1] (SentenceDetectorDLModel method), [1] setExplodeSplits() (DocumentCharacterTextSplitter method), [1] (DocumentTokenSplitter method), [1] setExternalFeatures() (NerCrfApproach method), [1] setExternalRules() (RegexMatcher method), [1] setExtractCoordinates() (PdfToText method), [1] setExtractNearestNeighbor() (DocumentSimilarityRankerFinisher method), [1] setExtractorMode() (Extractor method), [1] setExtraWhitespace() (Cleaner method), [1] setFailOnMissing() (Doc2Chunk method), [1] setFeatureExtractorType() (HasImageFeatureProperties method), [1] setFeatureSize() (HasAudioFeatureProperties method), [1] setFinalRate() (ContextSpellCheckerApproach method), [1] setFlashAttention() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setFormCol() (Lemmatizer method), [1] setFrequencyPenalty() (HasLlamaCppProperties method), [1] (OpenAICompletion method), [1] setFrequencyPriority() (NorvigSweetingApproach method), [1] setFrequencyThreshold() (SymmetricDeleteApproach method), [1] (WordSegmenterApproach method), [1] setGamma() (ContextSpellCheckerModel method), [1] setGpuSplitMode() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setGrammar() (HasLlamaCppProperties method), [1] setGraphFile() (TFNerDLGraphBuilder method), [1] setGraphFolder() (ContextSpellCheckerApproach method), [1] (NerDLApproach method), [1] (TFNerDLGraphBuilder method), [1] setGroupBrokenParagraphs() (HasTextReaderProperties method), [1] setGrpAttnN() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setGrpAttnW() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setHeaders() (HasHTMLReaderProperties method), [1] setHiddenUnitsNumber() (TFNerDLGraphBuilder method), [1] setIdCol() (DocumentAssembler method), [1] (MultiDocumentAssembler method), [1] setIdentityRanking() (DocumentSimilarityRankerApproach method), [1] setIdsVocab() (ContextSpellCheckerModel method), [1] setIgnoreCase() (Cleaner method), [1] setIgnoreEos() (HasLlamaCppProperties method), [1] setIgnoreTokenIds() (BartTransformer method), [1] (CoHereTransformer method), [1] (CPMTransformer method), [1] (Florence2Transformer method), [1] (Gemma3ForMultiModal method), [1] (GPT2Transformer method), [1] (InternVLForMultiModal method), [1] (JanusForMultiModal method), [1] (LLAMA2Transformer method), [1] (LLAMA3Transformer method), [1] (LLAVAForMultiModal method), [1] (M2M100Transformer method), [1] (MarianTransformer method), [1] (MistralTransformer method), [1] (MLLamaForMultimodal method), [1] (NLLBTransformer method), [1] (OLMoTransformer method), [1] (PaliGemmaForMultiModal method), [1] (Phi2Transformer method), [1] (Phi3Transformer method), [1] (Phi3Vision method), [1] (Qwen2VLTransformer method), [1] (QwenTransformer method), [1] (SmolVLMTransformer method), [1] (StarCoderTransformer method), [1] (T5Transformer method), [1] setIgnoreUnsupported() (LightPipeline method), [1] setImageGenerateMode() (JanusForMultiModal method), [1] setImageMean() (HasImageFeatureProperties method), [1] setImageStd() (HasImageFeatureProperties method), [1] setImageToken() (SmolVLMTransformer method), [1] setImageUrlPattern() (Extractor method), [1] setImpossiblePenultimates() (SentenceDetectorDLApproach method), [1] (SentenceDetectorDLModel method), [1] setIncludeAllConfidenceScores() (NerDLApproach method), [1] (NerDLModel method), [1] setIncludeConfidence() (NerCrfApproach method), [1] (NerCrfModel method), [1] (NerDLApproach method), [1] (NerDLModel method), [1] setIncludeEdges() (GraphExtraction method), [1] setIncludeMetadata() (Finisher method), [1] setIncludePageBreaks() (PartitionTransformer method), [1] setIncludeSlideNotes() (HasPowerPointProperties method), [1] setIncludeStorage() (HasStorageOptions method), [1] setIndex() (Extractor method), [1] setInferTableStructure() (PartitionTransformer method), [1] setInfixes() (RecursiveTokenizer method), [1] setInfixPatterns() (Tokenizer method), [1] setInitialRate() (ContextSpellCheckerApproach method), [1] setInputCol() (AudioAssembler method), [1] (DocumentAssembler method), [1] (GraphFinisher method), [1] (ImageAssembler method), [1] (PdfToText method), [1] (PromptAssembler method), [1] setInputCols() (AnnotatorProperties method), [1] (DocumentSimilarityRankerFinisher method), [1] (EmbeddingsFinisher method), [1] (Finisher method), [1] (MultiDocumentAssembler method), [1] (TFNerDLGraphBuilder method), [1] setInputFormat() (TableAssembler method), [1] setInputFormats() (DateMatcherUtils method), [1] setInputPrefix() (HasLlamaCppProperties method), [1] setInputPrefixBos() (HasLlamaCppProperties method), [1] setInputSuffix() (HasLlamaCppProperties method), [1] setInstruction() (InstructorEmbeddings method), [1] setIpAddressNamePattern() (Extractor method), [1] setIpAddressPattern() (Extractor method), [1] setIsArray() (Doc2Chunk method), [1] setIsLong() (BertSentenceEmbeddings method), [1] setIterations() (PerceptronApproach method), [1] setKeepSeparators() (DocumentCharacterTextSplitter method), [1] setL2() (NerCrfApproach method), [1] setLabelColumn() (ClassifierEncoder method), [1] (NerApproach method), [1] (TFNerDLGraphBuilder method), [1] setLangId() (MarianTransformer method), [1] setLanguage() (WhisperForCTC method), [1] setLanguageModelClasses() (ContextSpellCheckerApproach method), [1] setLazyAnnotator() (AnnotatorProperties method), [1] setLemmaCol() (Lemmatizer method), [1] setLoadSP() (UniversalSentenceEncoder method), [1] setLocale() (StopWordsCleaner method), [1] setLogitBias() (OpenAICompletion method), [1] setLogprobs() (OpenAICompletion method), [1] setLookupCacheDynamicFilePath() (HasLlamaCppProperties method), [1] setLookupCacheStaticFilePath() (HasLlamaCppProperties method), [1] setLoraAdapters() (HasLlamaCppProperties method), [1] setLossEps() (NerCrfApproach method), [1] setLowercase() (Cleaner method), [1] setLowerCase() (Doc2Chunk method), [1] setLowercase() (DocumentNormalizer method), [1] (Normalizer method), [1] setLr() (ClassifierEncoder method), [1] (NerDLApproach method), [1] setMainGpu() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setMapiIdPattern() (Extractor method), [1] setMaxCandidates() (ContextSpellCheckerApproach method), [1] (ContextSpellCheckerModel method), [1] setMaxCharacters() (HasChunkerProperties method), [1] setMaxEditDistance() (SymmetricDeleteApproach method), [1] setMaxEpochs() (ClassifierEncoder method), [1] (NerApproach method), [1] setMaxImageSize() (SmolVLMTransformer method), [1] setMaxInputLength() (MarianTransformer method), [1] setMaxIter() (Doc2VecApproach method), [1] (Word2VecApproach method), [1] setMaxLength() (Normalizer method), [1] (RegexTokenizer method), [1] (SentenceDetector method), [1] (SentenceDetectorDLModel method), [1] (Tokenizer method), [1] setMaxLineCount() (HasTextReaderProperties method), [1] setMaxNewTokens() (T5Transformer method), [1] setMaxNGrams() (YakeKeywordExtraction method), [1] setMaxOutputLength() (BartTransformer method), [1] (CoHereTransformer method), [1] (CPMTransformer method), [1] (Florence2Transformer method), [1] (Gemma3ForMultiModal method), [1] (GPT2Transformer method), [1] (HasGeneratorProperties method), [1] (InternVLForMultiModal method), [1] (JanusForMultiModal method), [1] (LLAMA2Transformer method), [1] (LLAMA3Transformer method), [1] (LLAVAForMultiModal method), [1] (M2M100Transformer method), [1] (MarianTransformer method), [1] (MistralTransformer method), [1] (MLLamaForMultimodal method), [1] (NLLBTransformer method), [1] (OLMoTransformer method), [1] (PaliGemmaForMultiModal method), [1] (Phi2Transformer method), [1] (Phi3Transformer method), [1] (Phi3Vision method), [1] (Qwen2VLTransformer method), [1] (QwenTransformer method), [1] (SmolVLMTransformer method), [1] (StarCoderTransformer method), [1] (T5Transformer method), [1] setMaxSegmentLength() (SpanBertCorefModel method), [1] setMaxSentenceLength() (BartForZeroShotClassification method), [1] (Doc2VecApproach method), [1] (HasMaxSentenceLengthLimit method), [1] (RoBertaForTokenClassification method), [1] (RoBertaForZeroShotClassification method), [1] (Word2VecApproach method), [1] (XlmRoBertaForZeroShotClassification method), [1] setMaxSentenceSize() (BLIPForQuestionAnswering method), [1] (Gemma3ForMultiModal method), [1] (GraphExtraction method), [1] (InternVLForMultiModal method), [1] (JanusForMultiModal method), [1] (LLAVAForMultiModal method), [1] (MLLamaForMultimodal method), [1] (PaliGemmaForMultiModal method), [1] (Phi3Vision method), [1] (Qwen2VLTransformer method), [1] (SmolVLMTransformer method), [1] setMaxSentLen() (ContextSpellCheckerApproach method), [1] setMaxTokens() (OpenAICompletion method), [1] setMaxWindowLen() (ContextSpellCheckerApproach method), [1] (ContextSpellCheckerModel method), [1] setMergeEntities() (GraphExtraction method), [1] setMergeEntitiesIOBFormat() (GraphExtraction method), [1] setMergeOverlapping() (BigTextMatcher method), [1] (BigTextMatcherModel method), [1] (TextMatcher method), [1] (TextMatcherModel method), [1] setMetadataCol() (DocumentAssembler method), [1] (MultiDocumentAssembler method), [1] setMinCount() (ContextSpellCheckerApproach method), [1] (Doc2VecApproach method), [1] (Word2VecApproach method), [1] setMinEpochs() (NerApproach method), [1] setMinKeep() (HasLlamaCppProperties method), [1] setMinLength() (Normalizer method), [1] (RegexTokenizer method), [1] (SentenceDetector method), [1] (SentenceDetectorDLModel method), [1] (Tokenizer method), [1] setMinNGrams() (YakeKeywordExtraction method), [1] setMinOutputLength() (BartTransformer method), [1] (CoHereTransformer method), [1] (CPMTransformer method), [1] (Florence2Transformer method), [1] (Gemma3ForMultiModal method), [1] (GPT2Transformer method), [1] (HasGeneratorProperties method), [1] (InternVLForMultiModal method), [1] (JanusForMultiModal method), [1] (LLAMA2Transformer method), [1] (LLAMA3Transformer method), [1] (LLAVAForMultiModal method), [1] (M2M100Transformer method), [1] (MistralTransformer method), [1] (MLLamaForMultimodal method), [1] (NLLBTransformer method), [1] (OLMoTransformer method), [1] (PaliGemmaForMultiModal method), [1] (Phi2Transformer method), [1] (Phi3Transformer method), [1] (Phi3Vision method), [1] (Qwen2VLTransformer method), [1] (QwenTransformer method), [1] (SmolVLMTransformer method), [1] (StarCoderTransformer method), [1] (T5Transformer method), [1] setMinP() (HasLlamaCppProperties method), [1] setMinSentenceSize() (GraphExtraction method), [1] setMinW() (NerCrfApproach method), [1] setMiroStat() (HasLlamaCppProperties method), [1] setMiroStatEta() (HasLlamaCppProperties method), [1] setMiroStatTau() (HasLlamaCppProperties method), [1] setModel() (OpenAICompletion method), [1] (OpenAIEmbeddings method), [1] (SentenceDetectorDLApproach method), [1] (SentenceDetectorDLModel method), [1] setModelAlias() (HasLlamaCppProperties method), [1] setModelDraft() (HasLlamaCppProperties method), [1] setMultilabel() (HasClassifierActivationProperties method), [1] setN() (NGramGenerator method), [1] setNBatch() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setNChunks() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setNCtx() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setNDraft() (HasLlamaCppProperties method), [1] setNerHasNoSchema() (NerConverter method), [1] setNerWords() (NerOverwriter method), [1] setNewAfterNChars() (HasChunkerProperties method), [1] setNewNerEntity() (NerOverwriter method), [1] setNGpuLayers() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setNGpuLayersDraft() (HasLlamaCppProperties method), [1] setNIterations() (WordSegmenterApproach method), [1] setNKeep() (HasLlamaCppProperties method), [1] setNKeywords() (YakeKeywordExtraction method), [1] setNoKvOffload() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setNoRepeatNgramSize() (BartTransformer method), [1] (CoHereTransformer method), [1] (CPMTransformer method), [1] (Florence2Transformer method), [1] (Gemma3ForMultiModal method), [1] (GPT2Transformer method), [1] (HasGeneratorProperties method), [1] (InternVLForMultiModal method), [1] (JanusForMultiModal method), [1] (LLAMA2Transformer method), [1] (LLAMA3Transformer method), [1] (LLAVAForMultiModal method), [1] (M2M100Transformer method), [1] (MarianTransformer method), [1] (MistralTransformer method), [1] (MLLamaForMultimodal method), [1] (NLLBTransformer method), [1] (OLMoTransformer method), [1] (PaliGemmaForMultiModal method), [1] (Phi2Transformer method), [1] (Phi3Transformer method), [1] (Phi3Vision method), [1] (Qwen2VLTransformer method), [1] (QwenTransformer method), [1] (SmolVLMTransformer method), [1] (StarCoderTransformer method), [1] (T5Transformer method), [1] setNormalizeLigatures() (PdfToText method), [1] setNParallel() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setNPredict() (HasLlamaCppProperties method), [1] setNProbs() (HasLlamaCppProperties method), [1] setNReturnSequences() (HasGeneratorProperties method), [1] setNSequences() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setNThreads() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setNThreadsBatch() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setNThreadsBatchDraft() (HasLlamaCppProperties method), [1] setNThreadsDraft() (HasLlamaCppProperties method), [1] setNUbatch() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setNumaStrategy() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setNumberOfCompletions() (OpenAICompletion method), [1] setNumberOfIterations() (DependencyParserApproach method), [1] (TypedDependencyParserApproach method), [1] setNumberOfNeighbours() (DocumentSimilarityRankerApproach method), [1] setNumHashTables() (DocumentSimilarityRankerApproach method), [1] setNumOfParallelImages() (JanusForMultiModal method), [1] setNumPartitions() (DataFrameOptimizer method), [1] (Doc2VecApproach method), [1] (Word2VecApproach method), [1] setNumTokens() (DocumentTokenSplitter method), [1] setNumVisionTokens() (SmolVLMTransformer method), [1] setNumWorkers() (DataFrameOptimizer method), [1] setOnlyPageNum() (PdfToText method), [1] setOutputAsArray() (Finisher method), [1] (GraphFinisher method), [1] setOutputAsVector() (EmbeddingsFinisher method), [1] setOutputCol() (AnnotatorProperties method), [1] (AudioAssembler method), [1] (DocumentAssembler method), [1] (GraphFinisher method), [1] (ImageAssembler method), [1] (PdfToText method), [1] (PromptAssembler method), [1] setOutputCols() (DocumentSimilarityRankerFinisher method), [1] (EmbeddingsFinisher method), [1] (Finisher method), [1] (MultiDocumentAssembler method), [1] setOutputFormat() (DateMatcherUtils method), [1] setOutputLogsPath() (EvaluationDLParams method), [1] (SentenceDetectorDLApproach method), [1] setOutputOptions() (DataFrameOptimizer method), [1] setOverlap() (HasChunkerProperties method), [1] setOverlapAll() (HasChunkerProperties method), [1] setPaddingConstant() (SmolVLMTransformer method), [1] setPaddingSide() (HasAudioFeatureProperties method), [1] setPaddingValue() (HasAudioFeatureProperties method), [1] setPageNumCol() (PdfToText method), [1] setParagraphSplit() (HasTextReaderProperties method), [1] setParams() (AnnotatorModel method), [1] (AudioAssembler method), [1] (Chunk2Doc method), [1] (DataFrameOptimizer method), [1] (Doc2Chunk method), [1] (DocumentAssembler method), [1] (DocumentSimilarityRankerFinisher method), [1] (EmbeddingsFinisher method), [1] (Finisher method), [1] (GraphFinisher method), [1] (ImageAssembler method), [1] (MultiDocumentAssembler method), [1] (PromptAssembler method), [1] (TokenAssembler method), [1] setParamValue() (ParamsGettersSetters method), [1] setParseEmbeddingsVectors() (Finisher method), [1] setPartitionNum() (PdfToText method), [1] setPatchSize() (SmolVLMTransformer method), [1] setPattern() (RegexTokenizer method), [1] (WordSegmenterApproach method), [1] (WordSegmenterModel method), [1] setPatterns() (DocumentNormalizer method), [1] setPatternsAreRegex() (DocumentCharacterTextSplitter method), [1] setPatternsResource() (EntityRulerApproach method), [1] setPenalizeNl() (HasLlamaCppProperties method), [1] setPenaltyPrompt() (HasLlamaCppProperties method), [1] setPersistFormat() (DataFrameOptimizer method), [1] setPersistPath() (DataFrameOptimizer method), [1] setPo() (NerDLApproach method), [1] setPolicy() (DocumentNormalizer method), [1] setPoolingLayer() (ElmoEmbeddings method), [1] setPoolingStrategy() (ChunkEmbeddings method), [1] (MxbaiEmbeddings method), [1] (SentenceEmbeddings method), [1] (SnowFlakeEmbeddings method), [1] (UAEEmbeddings method), [1] setPoolingType() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setPosColumn() (PerceptronApproach method), [1] (WordSegmenterApproach method), [1] setPositionalMask() (RegexTokenizer method), [1] setPosModel() (GraphExtraction method), [1] setPredictionThreshold() (ZeroShotNerModel method), [1] setPrefixes() (RecursiveTokenizer method), [1] setPrefixPattern() (Tokenizer method), [1] setPresencePenalty() (HasLlamaCppProperties method), [1] (OpenAICompletion method), [1] setPreservePosition() (NerConverter method), [1] (RegexTokenizer method), [1] (TokenAssembler method), [1] setPruneCorpus() (ViveknSentimentApproach method), [1] setPSplit() (HasLlamaCppProperties method), [1] setRandomSeed() (ClassifierEncoder method), [1] (MarianTransformer method), [1] (NerApproach method), [1] setReadCacheSize() (WordEmbeddings method), [1] (WordEmbeddingsModel method), [1] setReadMonthFirst() (DateMatcherUtils method), [1] setRegexParsers() (Chunker method), [1] setRelationshipTypes() (GraphExtraction method), [1] setRelaxedFactoryStrategy() (DateMatcherUtils method), [1] setRepeatLastN() (HasLlamaCppProperties method), [1] setRepeatPenalty() (HasLlamaCppProperties method), [1] setRepetitionPenalty() (BartTransformer method), [1] (CoHereTransformer method), [1] (CPMTransformer method), [1] (Florence2Transformer method), [1] (Gemma3ForMultiModal method), [1] (GPT2Transformer method), [1] (HasGeneratorProperties method), [1] (InternVLForMultiModal method), [1] (JanusForMultiModal method), [1] (LLAMA2Transformer method), [1] (LLAMA3Transformer method), [1] (LLAVAForMultiModal method), [1] (M2M100Transformer method), [1] (MarianTransformer method), [1] (MistralTransformer method), [1] (MLLamaForMultimodal method), [1] (NLLBTransformer method), [1] (OLMoTransformer method), [1] (PaliGemmaForMultiModal method), [1] (Phi2Transformer method), [1] (Phi3Transformer method), [1] (Phi3Vision method), [1] (Qwen2VLTransformer method), [1] (QwenTransformer method), [1] (SmolVLMTransformer method), [1] (StarCoderTransformer method), [1] (T5Transformer method), [1] setReplaceEntities() (NerOverwriter method), [1] setReplacement() (DocumentNormalizer method), [1] setResample() (HasImageFeatureProperties method), [1] setRescaleFactor() (ConvNextForImageClassification method), [1] (HasRescaleFactor method), [1] setReturnAttentionMask() (HasAudioFeatureProperties method), [1] setRootTokens() (GraphExtraction method), [1] setRopeFreqBase() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setRopeFreqScale() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setRopeScalingType() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1]

setRules() (RegexMatcher method), [1] setSamplers() (HasLlamaCppProperties method), [1] setSamplingRate() (HasAudioFeatureProperties method), [1] setSeed() (Doc2VecApproach method), [1] (HasLlamaCppProperties method), [1] (Word2VecApproach method), [1] setSentenceMatch() (EntityRulerApproach method), [1] setSentimentCol() (ViveknSentimentApproach method), [1] setShortCircuit() (NorvigSweetingApproach method), [1] setShortLineWordThreshold() (HasTextReaderProperties method), [1] setShufflePerEpoch() (MultiClassifierDLApproach method), [1] setSimilarityMethod() (DocumentSimilarityRankerApproach method), [1] setSize() (HasImageFeatureProperties method), [1] setSkipOOV() (ChunkEmbeddings method), [1] setSlangDictionary() (Normalizer method), [1] setSort() (PdfToText method), [1] setSourceLanguage() (DateMatcherUtils method), [1] setSplitChars() (Tokenizer method), [1] (TokenizerModel method), [1] setSplitLength() (SentenceDetector method), [1] (SentenceDetectorDLModel method), [1] setSplitPage() (PdfToText method), [1] setSplitPattern() (Tokenizer method), [1] (TokenizerModel method), [1] setSplitPatterns() (DocumentCharacterTextSplitter method), [1] setSrcLang() (M2M100Transformer method), [1] (NLLBTransformer method), [1] setStartCol() (Doc2Chunk method), [1] setStartColByTokenIndex() (Doc2Chunk method), [1] setStepSize() (Doc2VecApproach method), [1] (Word2VecApproach method), [1] setStop() (OpenAICompletion method), [1] setStopAtEos() (T5Transformer method), [1] setStopStrings() (HasLlamaCppProperties method), [1] setStopTokenIds() (CoHereTransformer method), [1] (LLAMA3Transformer method), [1] (SmolVLMTransformer method), [1] setStopWords() (StopWordsCleaner method), [1] (YakeKeywordExtraction method), [1] setStoragePath() (HasStorage method), [1] setStorageRef() (HasStorageRef method), [1] setStoreContent() (PartitionTransformer method), [1] setStoreSplittedPdf() (PdfToText method), [1] setStrategy() (RegexMatcher method), [1] setStrip() (Cleaner method), [1] setSuffix() (OpenAICompletion method), [1] setSuffixes() (RecursiveTokenizer method), [1] setSuffixPattern() (Tokenizer method), [1] setSystemPrompt() (HasLlamaCppProperties method), [1] setTargetPattern() (Tokenizer method), [1] setTask() (BartTransformer method), [1] (GPT2Transformer method), [1] (HasGeneratorProperties method), [1] (T5Transformer method), [1] (WhisperForCTC method), [1] setTemperature() (BartTransformer method), [1] (CoHereTransformer method), [1] (CPMTransformer method), [1] (Florence2Transformer method), [1] (Gemma3ForMultiModal method), [1] (GPT2Transformer method), [1] (HasGeneratorProperties method), [1] (HasLlamaCppProperties method), [1] (InternVLForMultiModal method), [1] (JanusForMultiModal method), [1] (LLAMA2Transformer method), [1] (LLAMA3Transformer method), [1] (LLAVAForMultiModal method), [1] (M2M100Transformer method), [1] (MarianTransformer method), [1] (MistralTransformer method), [1] (MLLamaForMultimodal method), [1] (NLLBTransformer method), [1] (OLMoTransformer method), [1] (OpenAICompletion method), [1] (PaliGemmaForMultiModal method), [1] (Phi2Transformer method), [1] (Phi3Transformer method), [1] (Phi3Vision method), [1] (Qwen2VLTransformer method), [1] (QwenTransformer method), [1] (SmolVLMTransformer method), [1] (StarCoderTransformer method), [1] (T5Transformer method), [1] setTensorSplit() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setTestDataset() (EvaluationDLParams method), [1] setTextCol() (ImageAssembler method), [1] setTextGenre() (SpanBertCorefModel method), [1] setTextPattern() (Extractor method), [1] setTextStripper() (PdfToText method), [1] setTfsZ() (HasLlamaCppProperties method), [1] setTgtLang() (M2M100Transformer method), [1] (NLLBTransformer method), [1] setThreshold() (HasClassifierActivationProperties method), [1] (HasTextReaderProperties method), [1] (LanguageDetectorDL method), [1] (MultiClassifierDLApproach method), [1] (MultiClassifierDLModel method), [1] (SentimentDLApproach method), [1] (SentimentDLModel method), [1] (YakeKeywordExtraction method), [1] setThresholdLabel() (LanguageDetectorDL method), [1] (SentimentDLApproach method), [1] (SentimentDLModel method), [1] setTimeout() (HasHTMLReaderProperties method), [1] setTitleFontSize() (PartitionTransformer method), [1] setTitleLengthSize() (HasTextReaderProperties method), [1] setTokenBias() (HasLlamaCppProperties method), [1] setTokenIdBias() (HasLlamaCppProperties method), [1] setTokenizer() (BigTextMatcher method), [1] setTokenOverlap() (DocumentTokenSplitter method), [1] setToLowercase() (RegexTokenizer method), [1] (WordSegmenterApproach method), [1] (WordSegmenterModel method), [1] setTopK() (BartTransformer method), [1] (CoHereTransformer method), [1] (CPMTransformer method), [1] (Florence2Transformer method), [1] (Gemma3ForMultiModal method), [1] (GPT2Transformer method), [1] (HasGeneratorProperties method), [1] (HasLlamaCppProperties method), [1] (InternVLForMultiModal method), [1] (JanusForMultiModal method), [1] (LLAMA2Transformer method), [1] (LLAMA3Transformer method), [1] (LLAVAForMultiModal method), [1] (M2M100Transformer method), [1] (MarianTransformer method), [1] (MistralTransformer method), [1] (MLLamaForMultimodal method), [1] (NLLBTransformer method), [1] (OLMoTransformer method), [1] (PaliGemmaForMultiModal method), [1] (Phi2Transformer method), [1] (Phi3Transformer method), [1] (Phi3Vision method), [1] (Qwen2VLTransformer method), [1] (QwenTransformer method), [1] (SmolVLMTransformer method), [1] (StarCoderTransformer method), [1] (T5Transformer method), [1] setTopP() (BartTransformer method), [1] (CoHereTransformer method), [1] (CPMTransformer method), [1] (Florence2Transformer method), [1] (Gemma3ForMultiModal method), [1] (GPT2Transformer method), [1] (HasGeneratorProperties method), [1] (HasLlamaCppProperties method), [1] (InternVLForMultiModal method), [1] (JanusForMultiModal method), [1] (LLAMA2Transformer method), [1] (LLAMA3Transformer method), [1] (LLAVAForMultiModal method), [1] (M2M100Transformer method), [1] (MarianTransformer method), [1] (MistralTransformer method), [1] (MLLamaForMultimodal method), [1] (NLLBTransformer method), [1] (OLMoTransformer method), [1] (OpenAICompletion method), [1] (PaliGemmaForMultiModal method), [1] (Phi2Transformer method), [1] (Phi3Transformer method), [1] (Phi3Vision method), [1] (Qwen2VLTransformer method), [1] (QwenTransformer method), [1] (SmolVLMTransformer method), [1] (StarCoderTransformer method), [1] (T5Transformer method), [1] setTradeoff() (ContextSpellCheckerApproach method), [1] (ContextSpellCheckerModel method), [1] setTrailingPunctuation() (Cleaner method), [1] setTrimWhitespace() (DocumentCharacterTextSplitter method), [1] (DocumentTokenSplitter method), [1] (RegexTokenizer method), [1] setTypedDependencyParserModel() (GraphExtraction method), [1] setTypicalP() (HasLlamaCppProperties method), [1] setUp() (DocumentTokenSplitterTestSpec method) setUseAbbreviations() (SentenceDetector method), [1] setUseBestModel() (NerDLApproach method), [1] setUseCache() (T5Transformer method), [1] setUseChatTemplate() (HasLlamaCppProperties method), [1] setUseCLSToken() (HasClsTokenProperties method), [1] setUseContrib() (NerDLApproach method), [1] setUseCustomBoundsOnly() (SentenceDetector method), [1] (SentenceDetectorDLModel method), [1] setUseMlock() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setUseMmap() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setUser() (OpenAICompletion method), [1] (OpenAIEmbeddings method), [1] setUseStorage() (EntityRulerApproach method), [1] setUsPhoneNumbersPattern() (Extractor method), [1] setValidationFraction() (ContextSpellCheckerApproach method), [1] setValidationSplit() (EvaluationDLParams method), [1] (SentenceDetectorDLApproach method), [1] setValueSplitSymbol() (Finisher method), [1] setVectorSize() (Doc2VecApproach method), [1] (Doc2VecModel method), [1] (Word2VecApproach method), [1] (Word2VecModel method), [1] setVerbose() (EvaluationDLParams method), [1] (MultiClassifierDLApproach method), [1] (NerCrfApproach method), [1] setVisibleDistances() (DocumentSimilarityRankerApproach method), [1] setVocabFreq() (ContextSpellCheckerModel method), [1] setVocabIds() (ContextSpellCheckerModel method), [1] setWeightedDistPath() (ContextSpellCheckerApproach method), [1] setWeights() (ContextSpellCheckerModel method), [1] setWhiteList() (NerConverter method), [1] setWhitelist() (RecursiveTokenizer method), [1] setWindowSize() (Doc2VecApproach method), [1] (Word2VecApproach method), [1] (YakeKeywordExtraction method), [1] setWordMaxDistance() (ContextSpellCheckerApproach method), [1] (ContextSpellCheckerModel method), [1] setWriteBufferSize() (WordEmbeddings method), [1] setYarnAttnFactor() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setYarnBetaFast() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setYarnBetaSlow() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setYarnExtFactor() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] setYarnOrigCtx() (AutoGGUFEmbeddings method), [1] (HasLlamaCppProperties method), [1] shortCircuit (NorvigSweetingApproach attribute), [1] shortLineWordThreshold (HasTextReaderProperties attribute), [1] showAvailableAnnotators() (ResourceDownloader static method), [1] showPublicModels() (ResourceDownloader static method), [1] showPublicPipelines() (ResourceDownloader static method), [1] showUnCategorizedResources() (ResourceDownloader static method), [1] shufflePerEpoch (MultiClassifierDLApproach attribute), [1] similarityMethod (DocumentSimilarityRankerApproach attribute), [1] size (HasImageFeatureProperties attribute), [1] skipOOV (ChunkEmbeddings attribute), [1] slangDictionary (Normalizer attribute), [1] slangMatchCase (Normalizer attribute), [1] (NormalizerModel attribute), [1] SmolVLMTransformer (class in sparknlp.annotator.cv.smolvlm_transformer), [1] SnowFlakeEmbeddings (class in sparknlp.annotator.embeddings.snowflake_embeddings), [1] sort (PdfToText attribute), [1] sourceLanguage (DateMatcherUtils attribute), [1] SpacyToAnnotation (class in sparknlp.training.spacy_to_annotation), [1] SpanBertCorefModel (class in sparknlp.annotator.coref.spanbert_coref), [1] spark (Partition attribute) SPARK (ReadAs attribute), [1] spark (SparkNLPReader attribute) spark_version() (ExtendedJavaWrapper method), [1] sparknlp module, [1] sparknlp.annotation module, [1] sparknlp.annotation_audio module, [1] sparknlp.annotation_image module, [1] sparknlp.annotator module, [1] sparknlp.annotator.audio module, [1] sparknlp.annotator.audio.hubert_for_ctc module, [1] sparknlp.annotator.audio.wav2vec2_for_ctc module, [1] sparknlp.annotator.audio.whisper_for_ctc module, [1] sparknlp.annotator.chunk2_doc module, [1] sparknlp.annotator.chunker module, [1] sparknlp.annotator.classifier_dl module, [1] sparknlp.annotator.classifier_dl.albert_for_multiple_choice module, [1] sparknlp.annotator.classifier_dl.albert_for_question_answering module, [1] sparknlp.annotator.classifier_dl.albert_for_sequence_classification module, [1] sparknlp.annotator.classifier_dl.albert_for_token_classification module, [1] sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification module, [1] sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification module, [1] sparknlp.annotator.classifier_dl.bert_for_multiple_choice module, [1] sparknlp.annotator.classifier_dl.bert_for_question_answering module, [1] sparknlp.annotator.classifier_dl.bert_for_sequence_classification module, [1] sparknlp.annotator.classifier_dl.bert_for_token_classification module, [1] sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification module, [1] sparknlp.annotator.classifier_dl.camembert_for_question_answering module, [1] sparknlp.annotator.classifier_dl.camembert_for_sequence_classification module, [1] sparknlp.annotator.classifier_dl.camembert_for_token_classification module, [1] sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification module, [1] sparknlp.annotator.classifier_dl.classifier_dl module, [1] sparknlp.annotator.classifier_dl.deberta_for_question_answering module, [1] sparknlp.annotator.classifier_dl.deberta_for_sequence_classification module, [1] sparknlp.annotator.classifier_dl.deberta_for_token_classification module, [1] sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification module, [1] sparknlp.annotator.classifier_dl.distil_bert_for_question_answering module, [1] sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification module, [1] sparknlp.annotator.classifier_dl.distil_bert_for_token_classification module, [1] sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification module, [1] sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice module, [1] sparknlp.annotator.classifier_dl.longformer_for_question_answering module, [1] sparknlp.annotator.classifier_dl.longformer_for_sequence_classification module, [1] sparknlp.annotator.classifier_dl.longformer_for_token_classification module, [1] sparknlp.annotator.classifier_dl.mpnet_for_question_answering module, [1] sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification module, [1] sparknlp.annotator.classifier_dl.mpnet_for_token_classification module, [1] sparknlp.annotator.classifier_dl.multi_classifier_dl module, [1] sparknlp.annotator.classifier_dl.roberta_for_multiple_choice module, [1] sparknlp.annotator.classifier_dl.roberta_for_question_answering module, [1] sparknlp.annotator.classifier_dl.roberta_for_sequence_classification module, [1] sparknlp.annotator.classifier_dl.roberta_for_token_classification module, [1] sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification module, [1] sparknlp.annotator.classifier_dl.sentiment_dl module, [1] sparknlp.annotator.classifier_dl.tapas_for_question_answering module, [1] sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice module, [1] sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering module, [1] sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification module, [1] sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification module, [1] sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification module, [1] sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification module, [1] sparknlp.annotator.classifier_dl.xlnet_for_token_classification module, [1] sparknlp.annotator.cleaners module, [1] sparknlp.annotator.cleaners.cleaner module, [1] sparknlp.annotator.cleaners.extractor module, [1] sparknlp.annotator.coref module, [1] sparknlp.annotator.coref.spanbert_coref module, [1] sparknlp.annotator.cv module, [1] sparknlp.annotator.cv.blip_for_question_answering module, [1] sparknlp.annotator.cv.clip_for_zero_shot_classification module, [1] sparknlp.annotator.cv.convnext_for_image_classification module, [1] sparknlp.annotator.cv.florence2_transformer module, [1] sparknlp.annotator.cv.gemma3_for_multimodal module, [1] sparknlp.annotator.cv.internvl_for_multimodal module, [1] sparknlp.annotator.cv.janus_for_multimodal module, [1] sparknlp.annotator.cv.llava_for_multimodal module, [1] sparknlp.annotator.cv.mllama_for_multimodal module, [1] sparknlp.annotator.cv.paligemma_for_multimodal module, [1] sparknlp.annotator.cv.phi3_vision_for_multimodal module, [1] sparknlp.annotator.cv.qwen2vl_transformer module, [1] sparknlp.annotator.cv.smolvlm_transformer module, [1] sparknlp.annotator.cv.swin_for_image_classification module, [1] sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning module, [1] sparknlp.annotator.cv.vit_for_image_classification module, [1] sparknlp.annotator.dataframe_optimizer module, [1] sparknlp.annotator.date2_chunk module, [1] sparknlp.annotator.dependency module, [1] sparknlp.annotator.dependency.dependency_parser module, [1] sparknlp.annotator.dependency.typed_dependency_parser module, [1] sparknlp.annotator.document_character_text_splitter module, [1] sparknlp.annotator.document_normalizer module, [1] sparknlp.annotator.document_token_splitter module, [1] sparknlp.annotator.document_token_splitter_test module sparknlp.annotator.embeddings module, [1] sparknlp.annotator.embeddings.albert_embeddings module, [1] sparknlp.annotator.embeddings.auto_gguf_embeddings module, [1] sparknlp.annotator.embeddings.bert_embeddings module, [1] sparknlp.annotator.embeddings.bert_sentence_embeddings module, [1] sparknlp.annotator.embeddings.bge_embeddings module, [1] sparknlp.annotator.embeddings.camembert_embeddings module, [1] sparknlp.annotator.embeddings.chunk_embeddings module, [1] sparknlp.annotator.embeddings.deberta_embeddings module, [1] sparknlp.annotator.embeddings.distil_bert_embeddings module, [1] sparknlp.annotator.embeddings.doc2vec module, [1] sparknlp.annotator.embeddings.e5_embeddings module, [1] sparknlp.annotator.embeddings.e5v_embeddings module, [1] sparknlp.annotator.embeddings.elmo_embeddings module, [1] sparknlp.annotator.embeddings.instructor_embeddings module, [1] sparknlp.annotator.embeddings.longformer_embeddings module, [1] sparknlp.annotator.embeddings.minilm_embeddings module, [1] sparknlp.annotator.embeddings.mpnet_embeddings module, [1] sparknlp.annotator.embeddings.mxbai_embeddings module, [1] sparknlp.annotator.embeddings.nomic_embeddings module, [1] sparknlp.annotator.embeddings.roberta_embeddings module, [1] sparknlp.annotator.embeddings.roberta_sentence_embeddings module, [1] sparknlp.annotator.embeddings.sentence_embeddings module, [1] sparknlp.annotator.embeddings.snowflake_embeddings module, [1] sparknlp.annotator.embeddings.uae_embeddings module, [1] sparknlp.annotator.embeddings.universal_sentence_encoder module, [1] sparknlp.annotator.embeddings.word2vec module, [1] sparknlp.annotator.embeddings.word_embeddings module, [1] sparknlp.annotator.embeddings.xlm_roberta_embeddings module, [1] sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings module, [1] sparknlp.annotator.embeddings.xlnet_embeddings module, [1] sparknlp.annotator.er module, [1] sparknlp.annotator.er.entity_ruler module, [1] sparknlp.annotator.graph_extraction module, [1] sparknlp.annotator.keyword_extraction module, [1] sparknlp.annotator.keyword_extraction.yake_keyword_extraction module, [1] sparknlp.annotator.ld_dl module, [1] sparknlp.annotator.ld_dl.language_detector_dl module, [1] sparknlp.annotator.lemmatizer module, [1] sparknlp.annotator.matcher module, [1] sparknlp.annotator.matcher.big_text_matcher module, [1] sparknlp.annotator.matcher.date_matcher module, [1] sparknlp.annotator.matcher.multi_date_matcher module, [1] sparknlp.annotator.matcher.regex_matcher module, [1] sparknlp.annotator.matcher.text_matcher module, [1] sparknlp.annotator.n_gram_generator module, [1] sparknlp.annotator.ner module, [1] sparknlp.annotator.ner.ner_approach module, [1] sparknlp.annotator.ner.ner_converter module, [1] sparknlp.annotator.ner.ner_crf module, [1] sparknlp.annotator.ner.ner_dl module, [1] sparknlp.annotator.ner.ner_overwriter module, [1] sparknlp.annotator.ner.zero_shot_ner_model module, [1] sparknlp.annotator.normalizer module, [1] sparknlp.annotator.openai module, [1] sparknlp.annotator.openai.openai_completion module, [1] sparknlp.annotator.openai.openai_embeddings module, [1] sparknlp.annotator.param module, [1] sparknlp.annotator.param.classifier_encoder module, [1] sparknlp.annotator.param.evaluation_dl_params module, [1] sparknlp.annotator.pos module, [1] sparknlp.annotator.pos.perceptron module, [1] sparknlp.annotator.sentence module, [1] sparknlp.annotator.sentence.sentence_detector module, [1] sparknlp.annotator.sentence.sentence_detector_dl module, [1] sparknlp.annotator.sentiment module, [1] sparknlp.annotator.sentiment.sentiment_detector module, [1] sparknlp.annotator.sentiment.vivekn_sentiment module, [1] sparknlp.annotator.seq2seq module, [1] sparknlp.annotator.seq2seq.auto_gguf_model module, [1] sparknlp.annotator.seq2seq.auto_gguf_vision_model module, [1] sparknlp.annotator.seq2seq.bart_transformer module, [1] sparknlp.annotator.seq2seq.cohere_transformer module, [1] sparknlp.annotator.seq2seq.cpm_transformer module, [1] sparknlp.annotator.seq2seq.gpt2_transformer module, [1] sparknlp.annotator.seq2seq.llama2_transformer module, [1] sparknlp.annotator.seq2seq.llama3_transformer module, [1] sparknlp.annotator.seq2seq.m2m100_transformer module, [1] sparknlp.annotator.seq2seq.marian_transformer module, [1] sparknlp.annotator.seq2seq.mistral_transformer module, [1] sparknlp.annotator.seq2seq.nllb_transformer module, [1] sparknlp.annotator.seq2seq.olmo_transformer module, [1] sparknlp.annotator.seq2seq.phi2_transformer module, [1] sparknlp.annotator.seq2seq.phi3_transformer module, [1] sparknlp.annotator.seq2seq.qwen_transformer module, [1] sparknlp.annotator.seq2seq.starcoder_transformer module, [1] sparknlp.annotator.seq2seq.t5_transformer module, [1] sparknlp.annotator.similarity module, [1] sparknlp.annotator.similarity.document_similarity_ranker module, [1] sparknlp.annotator.spell_check module, [1] sparknlp.annotator.spell_check.context_spell_checker module, [1] sparknlp.annotator.spell_check.norvig_sweeting module, [1] sparknlp.annotator.spell_check.symmetric_delete module, [1] sparknlp.annotator.stemmer module, [1] sparknlp.annotator.stop_words_cleaner module, [1] sparknlp.annotator.tf_ner_dl_graph_builder module, [1] sparknlp.annotator.token module, [1] sparknlp.annotator.token.chunk_tokenizer module, [1] sparknlp.annotator.token.recursive_tokenizer module, [1] sparknlp.annotator.token.regex_tokenizer module, [1] sparknlp.annotator.token.tokenizer module, [1] sparknlp.annotator.token2_chunk module, [1] sparknlp.annotator.ws module, [1] sparknlp.annotator.ws.word_segmenter module, [1] sparknlp.base module, [1] sparknlp.base.audio_assembler module, [1] sparknlp.base.doc2_chunk module, [1] sparknlp.base.document_assembler module, [1] sparknlp.base.embeddings_finisher module, [1] sparknlp.base.finisher module, [1] sparknlp.base.graph_finisher module, [1] sparknlp.base.has_recursive_fit module, [1] sparknlp.base.has_recursive_transform module, [1] sparknlp.base.image_assembler module, [1] sparknlp.base.light_pipeline module, [1] sparknlp.base.multi_document_assembler module, [1] sparknlp.base.prompt_assembler module, [1] sparknlp.base.recursive_pipeline module, [1] sparknlp.base.table_assembler module, [1] sparknlp.base.token_assembler module, [1] sparknlp.common module, [1] sparknlp.common.annotator_approach module, [1] sparknlp.common.annotator_model module, [1] sparknlp.common.annotator_properties module, [1] sparknlp.common.annotator_type module, [1] sparknlp.common.coverage_result module, [1] sparknlp.common.match_strategy module, [1] sparknlp.common.properties module, [1] sparknlp.common.read_as module, [1] sparknlp.common.recursive_annotator_approach module, [1] sparknlp.common.storage module, [1] sparknlp.common.utils module, [1] sparknlp.functions module, [1] sparknlp.internal module, [1] sparknlp.internal.annotator_java_ml module, [1] sparknlp.internal.annotator_transformer module, [1] sparknlp.internal.extended_java_wrapper module, [1] sparknlp.internal.params_getters_setters module, [1] sparknlp.internal.recursive module, [1] sparknlp.logging module, [1] sparknlp.logging.comet module, [1] sparknlp.partition module, [1] sparknlp.partition.partition module, [1] sparknlp.partition.partition_properties module, [1] sparknlp.partition.partition_transformer module, [1] sparknlp.pretrained module, [1] sparknlp.pretrained.pretrained_pipeline module, [1] sparknlp.pretrained.resource_downloader module, [1] sparknlp.pretrained.utils module, [1] sparknlp.reader module, [1] sparknlp.reader.enums module, [1] sparknlp.reader.pdf_to_text module, [1] sparknlp.reader.sparknlp_reader module, [1] sparknlp.training module, [1] sparknlp.training.conll module, [1] sparknlp.training.conllu module, [1] sparknlp.training.pos module, [1] sparknlp.training.pub_tator module, [1] sparknlp.training.spacy_to_annotation module, [1] sparknlp.training.tfgraphs module sparknlp.upload_to_hub module, [1] sparknlp.util module, [1] SparkNLPReader (class in sparknlp.reader.sparknlp_reader), [1] spell (in module sparknlp.annotator) splitChars (Tokenizer attribute), [1] (TokenizerModel attribute), [1] splitLength (SentenceDetectorDLModel attribute), [1] (SentenceDetectorParams attribute), [1] splitPage (PdfToText attribute), [1] splitPattern (Tokenizer attribute), [1] (TokenizerModel attribute), [1] splitPatterns (DocumentCharacterTextSplitter attribute), [1] srcLang (M2M100Transformer attribute), [1] (NLLBTransformer attribute), [1] stages (RecursivePipelineModel attribute) StarCoderTransformer (class in sparknlp.annotator.seq2seq.starcoder_transformer), [1] start() (in module sparknlp), [1] startCol (Doc2Chunk attribute), [1] startColByTokenIndex (Doc2Chunk attribute), [1] Stemmer (class in sparknlp.annotator.stemmer), [1] stepSize (Doc2VecApproach attribute), [1] (Word2VecApproach attribute), [1] stop (OpenAICompletion attribute), [1] stopAtEos (T5Transformer attribute), [1] stopStrings (HasLlamaCppProperties attribute), [1] stopTokenIds (CoHereTransformer attribute), [1] (LLAMA3Transformer attribute), [1] (SmolVLMTransformer attribute), [1] stopWords (StopWordsCleaner attribute), [1] (YakeKeywordExtraction attribute), [1] StopWordsCleaner (class in sparknlp.annotator.stop_words_cleaner), [1] storagePath (HasStorage attribute), [1] storageRef (HasStorageRef attribute), [1] storeContent (PartitionTransformer attribute), [1] storeSplittedPdf (PdfToText attribute), [1] strategy (RegexMatcher attribute), [1] strip (Cleaner attribute), [1] suffix (OpenAICompletion attribute), [1] suffixes (RecursiveTokenizer attribute), [1] suffixPattern (Tokenizer attribute), [1] SwinForImageClassification (class in sparknlp.annotator.cv.swin_for_image_classification), [1] SymmetricDeleteApproach (class in sparknlp.annotator.spell_check.symmetric_delete), [1] SymmetricDeleteModel (class in sparknlp.annotator.spell_check.symmetric_delete), [1] systemPrompt (HasLlamaCppProperties attribute), [1]

T

T5Transformer (class in sparknlp.annotator.seq2seq.t5_transformer), [1] TABLE (AnnotatorType attribute), [1] TableAssembler (class in sparknlp.base.table_assembler), [1] TapasForQuestionAnswering (class in sparknlp.annotator.classifier_dl.tapas_for_question_answering), [1] targetPattern (Tokenizer attribute), [1] (TokenizerModel attribute), [1] task (BartTransformer attribute), [1] (GPT2Transformer attribute), [1] (HasGeneratorProperties attribute), [1] (T5Transformer attribute), [1] temperature (BartTransformer attribute), [1] (CoHereTransformer attribute), [1] (CPMTransformer attribute), [1] (Florence2Transformer attribute), [1] (Gemma3ForMultiModal attribute), [1] (GPT2Transformer attribute), [1] (HasGeneratorProperties attribute), [1] (HasLlamaCppProperties attribute), [1] (InternVLForMultiModal attribute), [1] (JanusForMultiModal attribute), [1] (LLAMA2Transformer attribute), [1] (LLAMA3Transformer attribute), [1] (LLAVAForMultiModal attribute), [1] (M2M100Transformer attribute), [1] (MarianTransformer attribute), [1] (MistralTransformer attribute), [1] (MLLamaForMultimodal attribute), [1] (NLLBTransformer attribute), [1] (OLMoTransformer attribute), [1] (OpenAICompletion attribute), [1] (PaliGemmaForMultiModal attribute), [1] (Phi2Transformer attribute), [1] (Phi3Transformer attribute), [1] (Phi3Vision attribute), [1] (Qwen2VLTransformer attribute), [1] (QwenTransformer attribute), [1] (SmolVLMTransformer attribute), [1] (StarCoderTransformer attribute), [1] (T5Transformer attribute), [1] tensorSplit (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] test_run() (DocumentTokenSplitterTestSpec method) testDataset (EvaluationDLParams attribute), [1] TEXT (ReadAs attribute), [1] textCol (ImageAssembler attribute), [1] textGenre (SpanBertCorefModel attribute), [1] TextMatcher (class in sparknlp.annotator.matcher.text_matcher), [1] TextMatcherModel (class in sparknlp.annotator.matcher.text_matcher), [1] textPattern (Extractor attribute), [1] textStripper (PdfToText attribute), [1] TextStripperType (class in sparknlp.reader.enums), [1] tf_graph (in module sparknlp.training.tfgraphs) tf_graph_1x (in module sparknlp.training.tfgraphs) TFNerDLGraphBuilder (class in sparknlp.annotator.tf_ner_dl_graph_builder), [1] TFNerDLGraphBuilderModel (class in sparknlp.annotator.tf_ner_dl_graph_builder), [1] tfsZ (HasLlamaCppProperties attribute), [1] tgtLang (M2M100Transformer attribute), [1] (NLLBTransformer attribute), [1] thread (CometLogger attribute) threshold (HasClassifierActivationProperties attribute), [1] (HasTextReaderProperties attribute), [1] (LanguageDetectorDL attribute), [1] (MultiClassifierDLApproach attribute), [1] (MultiClassifierDLModel attribute), [1] (SentimentDLApproach attribute), [1] (SentimentDLModel attribute), [1] (YakeKeywordExtraction attribute), [1] thresholdLabel (LanguageDetectorDL attribute), [1] (SentimentDLApproach attribute), [1] (SentimentDLModel attribute), [1] timeout (HasHTMLReaderProperties attribute), [1] titleFontSize (PartitionTransformer attribute), [1] titleLengthSize (HasTextReaderProperties attribute), [1] TOKEN (AnnotatorType attribute), [1] Token2Chunk (class in sparknlp.annotator.token2_chunk), [1] TokenAssembler (class in sparknlp.base.token_assembler), [1] tokenizer (BigTextMatcher attribute), [1] Tokenizer (class in sparknlp.annotator.token.tokenizer), [1] TokenizerModel (class in sparknlp.annotator.token.tokenizer), [1] tokenOverlap (DocumentTokenSplitter attribute), [1]

toLowercase (RegexTokenizer attribute), [1] (WordSegmenterApproach attribute), [1] (WordSegmenterModel attribute), [1] topK (BartTransformer attribute), [1] (CoHereTransformer attribute), [1] (CPMTransformer attribute), [1] (Florence2Transformer attribute), [1] (Gemma3ForMultiModal attribute), [1] (GPT2Transformer attribute), [1] (HasGeneratorProperties attribute), [1] (HasLlamaCppProperties attribute), [1] (InternVLForMultiModal attribute), [1] (JanusForMultiModal attribute), [1] (LLAMA2Transformer attribute), [1] (LLAMA3Transformer attribute), [1] (LLAVAForMultiModal attribute), [1] (M2M100Transformer attribute), [1] (MarianTransformer attribute), [1] (MistralTransformer attribute), [1] (MLLamaForMultimodal attribute), [1] (NLLBTransformer attribute), [1] (OLMoTransformer attribute), [1] (PaliGemmaForMultiModal attribute), [1] (Phi2Transformer attribute), [1] (Phi3Transformer attribute), [1] (Phi3Vision attribute), [1] (Qwen2VLTransformer attribute), [1] (QwenTransformer attribute), [1] (SmolVLMTransformer attribute), [1] (StarCoderTransformer attribute), [1] (T5Transformer attribute), [1] topP (BartTransformer attribute), [1] (CoHereTransformer attribute), [1] (CPMTransformer attribute), [1] (Florence2Transformer attribute), [1] (Gemma3ForMultiModal attribute), [1] (GPT2Transformer attribute), [1] (HasGeneratorProperties attribute), [1] (HasLlamaCppProperties attribute), [1] (InternVLForMultiModal attribute), [1] (JanusForMultiModal attribute), [1] (LLAMA2Transformer attribute), [1] (LLAMA3Transformer attribute), [1] (LLAVAForMultiModal attribute), [1] (M2M100Transformer attribute), [1] (MarianTransformer attribute), [1] (MistralTransformer attribute), [1] (MLLamaForMultimodal attribute), [1] (NLLBTransformer attribute), [1] (OLMoTransformer attribute), [1] (OpenAICompletion attribute), [1] (PaliGemmaForMultiModal attribute), [1] (Phi2Transformer attribute), [1] (Phi3Transformer attribute), [1] (Phi3Vision attribute), [1] (Qwen2VLTransformer attribute), [1] (QwenTransformer attribute), [1] (SmolVLMTransformer attribute), [1] (StarCoderTransformer attribute), [1] (T5Transformer attribute), [1] toRow() (Annotation static method), [1] toStringDict() (in module sparknlp.annotator.dataframe_optimizer), [1] total (CoverageResult attribute) tradeoff (ContextSpellCheckerApproach attribute), [1] (ContextSpellCheckerModel attribute), [1] trailingPunctuation (Cleaner attribute), [1] trainDependencyPipe (TypedDependencyParserModel attribute), [1] trainOptions (TypedDependencyParserModel attribute), [1] trainParameters (TypedDependencyParserModel attribute), [1] transform() (LightPipeline method), [1] (PretrainedPipeline method), [1] transform_recursive() (RecursiveTransformer method), [1] trimWhitespace (DocumentCharacterTextSplitter attribute), [1] (DocumentTokenSplitter attribute), [1] (RegexTokenizer attribute), [1] txt() (SparkNLPReader method), [1] TypedDependencyParserApproach (class in sparknlp.annotator.dependency.typed_dependency_parser), [1] TypedDependencyParserModel (class in sparknlp.annotator.dependency.typed_dependency_parser), [1] typedDependencyParserModel (GraphExtraction attribute), [1] typicalP (HasLlamaCppProperties attribute), [1]

U

UAEEmbeddings (class in sparknlp.annotator.embeddings.uae_embeddings), [1] unimportantFeatureStep (ViveknSentimentApproach attribute), [1] (ViveknSentimentModel attribute), [1] UniversalSentenceEncoder (class in sparknlp.annotator.embeddings.universal_sentence_encoder), [1] unzip_directory() (PushToHub method), [1] updateRegexClass() (ContextSpellCheckerModel method), [1] updateVocabClass() (ContextSpellCheckerModel method), [1] useAbbreviations (SentenceDetectorParams attribute), [1] useBestModel (NerDLApproach attribute), [1] useCache (BartTransformer attribute), [1] (T5Transformer attribute), [1] useChatTemplate (HasLlamaCppProperties attribute), [1]

useCLSToken (HasClsTokenProperties attribute), [1] useContrib (NerDLApproach attribute), [1] useCustomBoundsOnly (SentenceDetectorDLModel attribute), [1] (SentenceDetectorParams attribute), [1] useMlock (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] useMmap (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] user (OpenAICompletion attribute), [1] (OpenAIEmbeddings attribute), [1] useStorage (EntityRulerApproach attribute), [1] usPhoneNumbersPattern (Extractor attribute), [1]

V

validationFraction (ContextSpellCheckerApproach attribute), [1] validationSplit (EvaluationDLParams attribute), [1] (SentenceDetectorDLApproach attribute), [1] valueSplitSymbol (Finisher attribute), [1] vectorSize (Doc2VecApproach attribute), [1] (Doc2VecModel attribute), [1] (Word2VecApproach attribute), [1] (Word2VecModel attribute), [1] verbose (EvaluationDLParams attribute), [1] (NerCrfApproach attribute), [1]

version() (in module sparknlp), [1] visibleDistances (DocumentSimilarityRankerApproach attribute), [1] VisionEncoderDecoderForImageCaptioning (class in sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning), [1] ViTForImageClassification (class in sparknlp.annotator.cv.vit_for_image_classification), [1] ViveknSentimentApproach (class in sparknlp.annotator.sentiment.vivekn_sentiment), [1] ViveknSentimentModel (class in sparknlp.annotator.sentiment.vivekn_sentiment), [1] vocabFreq (ContextSpellCheckerModel attribute), [1] vocabIds (ContextSpellCheckerModel attribute), [1] vowelSwapLimit (NorvigSweetingApproach attribute), [1]

W

Wav2Vec2ForCTC (class in sparknlp.annotator.audio.wav2vec2_for_ctc), [1] weightedDistPath (ContextSpellCheckerApproach attribute), [1] WhisperForCTC (class in sparknlp.annotator.audio.whisper_for_ctc), [1] whiteList (NerConverter attribute), [1] whitelist (RecursiveTokenizer attribute), [1] width (AnnotationImage attribute) windowSize (Doc2VecApproach attribute), [1] (Word2VecApproach attribute), [1] (YakeKeywordExtraction attribute), [1] withCoverageColumn() (WordEmbeddingsModel static method), [1] Word2VecApproach (class in sparknlp.annotator.embeddings.word2vec), [1] Word2VecModel (class in sparknlp.annotator.embeddings.word2vec), [1]

WORD_EMBEDDINGS (AnnotatorType attribute), [1] WordEmbeddings (class in sparknlp.annotator.embeddings.word_embeddings), [1] WordEmbeddingsModel (class in sparknlp.annotator.embeddings.word_embeddings), [1] wordMaxDistance (ContextSpellCheckerApproach attribute), [1] (ContextSpellCheckerModel attribute), [1] WORDPIECE (AnnotatorType attribute), [1] WordSegmenterApproach (class in sparknlp.annotator.ws.word_segmenter), [1] WordSegmenterModel (class in sparknlp.annotator.ws.word_segmenter), [1] wordSizeIgnore (NorvigSweetingApproach attribute), [1] workspace (CometLogger attribute) writeBufferSize (WordEmbeddings attribute), [1] ws (in module sparknlp.annotator)

X

XlmRoBertaEmbeddings (class in sparknlp.annotator.embeddings.xlm_roberta_embeddings), [1] XlmRoBertaForMultipleChoice (class in sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice), [1] XlmRoBertaForQuestionAnswering (class in sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering), [1] XlmRoBertaForSequenceClassification (class in sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification), [1] XlmRoBertaForTokenClassification (class in sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification), [1] XlmRoBertaForZeroShotClassification (class in sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification), [1]

XlmRoBertaSentenceEmbeddings (class in sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings), [1] XlnetEmbeddings (class in sparknlp.annotator.embeddings.xlnet_embeddings), [1] XlnetForSequenceClassification (class in sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification), [1] XlnetForTokenClassification (class in sparknlp.annotator.classifier_dl.xlnet_for_token_classification), [1] xls() (SparkNLPReader method), [1] xml() (SparkNLPReader method), [1]

Y

YakeKeywordExtraction (class in sparknlp.annotator.keyword_extraction.yake_keyword_extraction), [1] yarnAttnFactor (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] yarnBetaFast (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1]

yarnBetaSlow (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] yarnExtFactor (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1] yarnOrigCtx (AutoGGUFEmbeddings attribute), [1] (HasLlamaCppProperties attribute), [1]

Z

ZeroShotNerModel (class in sparknlp.annotator.ner.zero_shot_ner_model), [1]

zip_directory() (PushToHub method), [1]