Index

_

__annotations__ (zensols.deepnlp.transformer.resource.TransformerError attribute) __init__() (zensols.deepnlp.classify.domain.LabeledBatch method) (zensols.deepnlp.classify.domain.LabeledFeatureDocument method) (zensols.deepnlp.classify.domain.LabeledFeatureDocumentDataPoint method) (zensols.deepnlp.classify.domain.TokenContainerDataPoint method) (zensols.deepnlp.classify.facade.ClassifyModelFacade method) (zensols.deepnlp.classify.facade.TokenClassifyModelFacade method) (zensols.deepnlp.classify.model.ClassifyNetwork method) (zensols.deepnlp.classify.model.ClassifyNetworkSettings method) (zensols.deepnlp.classify.pred.ClassificationPredictionMapper method) (zensols.deepnlp.classify.pred.SequencePredictionMapper method) (zensols.deepnlp.cli.NLPClassifyPackedModelApplication method) (zensols.deepnlp.cli.NLPFacadeBatchApplication method) (zensols.deepnlp.cli.NLPFacadeModelApplication method) (zensols.deepnlp.cli.NLPSequenceClassifyFacadeModelApplication method) (zensols.deepnlp.embed.doc.WordEmbedDocumentDecorator method) (zensols.deepnlp.embed.domain.WordEmbedModel method) (zensols.deepnlp.embed.domain.WordVectorModel method) (zensols.deepnlp.embed.fasttext.FastTextEmbedModel method) (zensols.deepnlp.embed.glove.GloveWordEmbedModel method) (zensols.deepnlp.embed.word2vec.Word2VecModel method) (zensols.deepnlp.embed.wordtext.DefaultTextWordEmbedModel method) (zensols.deepnlp.embed.wordtext.TextWordEmbedModel method) (zensols.deepnlp.embed.wordtext.TextWordModelMetadata method) (zensols.deepnlp.feature.DataframeDocumentFeatureStash method) (zensols.deepnlp.feature.DocumentFeatureStash method) (zensols.deepnlp.index.domain.DocumentIndexVectorizer method) (zensols.deepnlp.index.domain.IndexedDocumentFactory method) (zensols.deepnlp.index.lda.TopicModelDocumentIndexerVectorizer method) (zensols.deepnlp.index.lsi.LatentSemanticDocumentIndexerVectorizer method) (zensols.deepnlp.layer.conv.DeepConvolution1d method) (zensols.deepnlp.layer.conv.DeepConvolution1dNetworkSettings method) (zensols.deepnlp.layer.embed.EmbeddingLayer method) (zensols.deepnlp.layer.embed.EmbeddingNetworkModule method) (zensols.deepnlp.layer.embed.EmbeddingNetworkSettings method) (zensols.deepnlp.layer.embrecurcrf.EmbeddedRecurrentCRF method) (zensols.deepnlp.layer.embrecurcrf.EmbeddedRecurrentCRFSettings method) (zensols.deepnlp.layer.wordvec.WordVectorEmbeddingLayer method) (zensols.deepnlp.model.facade.LanguageModelFacade method) (zensols.deepnlp.model.facade.LanguageModelFacadeConfig method) (zensols.deepnlp.model.sequence.BioSequenceAnnotationMapper method) (zensols.deepnlp.model.sequence.SequenceAnnotation method) (zensols.deepnlp.model.sequence.SequenceDocumentAnnotation method) (zensols.deepnlp.transformer.domain.TokenizedDocument method) (zensols.deepnlp.transformer.domain.TokenizedFeatureDocument method) (zensols.deepnlp.transformer.embed.TransformerEmbedding method) (zensols.deepnlp.transformer.layer.TransformerEmbeddingLayer method) (zensols.deepnlp.transformer.layer.TransformerSequence method) (zensols.deepnlp.transformer.layer.TransformerSequenceNetworkSettings method) (zensols.deepnlp.transformer.mask.MaskFiller method) (zensols.deepnlp.transformer.mask.Prediction method) (zensols.deepnlp.transformer.mask.TokenPrediction method) (zensols.deepnlp.transformer.pred.TransformerSequencePredictionsDataFrameFactory method) (zensols.deepnlp.transformer.resource.TransformerResource method) (zensols.deepnlp.transformer.tokenizer.TransformerDocumentTokenizer method) (zensols.deepnlp.transformer.vectorizers.LabelTransformerFeatureVectorizer method) (zensols.deepnlp.transformer.vectorizers.TransformerEmbeddingFeatureVectorizer method) (zensols.deepnlp.transformer.vectorizers.TransformerExpanderFeatureContext method) (zensols.deepnlp.transformer.vectorizers.TransformerExpanderFeatureVectorizer method) (zensols.deepnlp.transformer.vectorizers.TransformerFeatureContext method) (zensols.deepnlp.transformer.vectorizers.TransformerFeatureVectorizer method) (zensols.deepnlp.transformer.vectorizers.TransformerMaskFeatureVectorizer method) (zensols.deepnlp.transformer.vectorizers.TransformerNominalFeatureVectorizer method) (zensols.deepnlp.transformer.wordpiece.CachingWordPieceFeatureDocumentFactory method) (zensols.deepnlp.transformer.wordpiece.WordPiece method) (zensols.deepnlp.transformer.wordpiece.WordPieceDocumentDecorator method) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureDocument method) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureDocumentFactory method) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureSentence method) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureSpan method) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureToken method) (zensols.deepnlp.vectorize.embed.EmbeddingFeatureVectorizer method) (zensols.deepnlp.vectorize.embed.WordVectorEmbeddingFeatureVectorizer method) (zensols.deepnlp.vectorize.manager.FeatureDocumentVectorizer method) (zensols.deepnlp.vectorize.manager.FeatureDocumentVectorizerManager method) (zensols.deepnlp.vectorize.manager.FoldingDocumentVectorizer method) (zensols.deepnlp.vectorize.manager.MultiDocumentVectorizer method) (zensols.deepnlp.vectorize.spacy.DependencyFeatureVectorizer method) (zensols.deepnlp.vectorize.spacy.NamedEntityRecognitionFeatureVectorizer method) (zensols.deepnlp.vectorize.spacy.PartOfSpeechFeatureVectorizer method) (zensols.deepnlp.vectorize.spacy.SpacyFeatureVectorizer method) (zensols.deepnlp.vectorize.vectorizers.CountEnumContainerFeatureVectorizer method) (zensols.deepnlp.vectorize.vectorizers.DepthFeatureDocumentVectorizer method) (zensols.deepnlp.vectorize.vectorizers.EnumContainerFeatureVectorizer method) (zensols.deepnlp.vectorize.vectorizers.MutualFeaturesContainerFeatureVectorizer method) (zensols.deepnlp.vectorize.vectorizers.OneHotEncodedFeatureDocumentVectorizer method) (zensols.deepnlp.vectorize.vectorizers.OverlappingFeatureDocumentVectorizer method) (zensols.deepnlp.vectorize.vectorizers.StatisticsFeatureDocumentVectorizer method) (zensols.deepnlp.vectorize.vectorizers.TokenEmbeddingFeatureVectorizer method) (zensols.deepnlp.vectorize.vectorizers.WordEmbeddingFeatureVectorizer method)

__module__ (zensols.deepnlp.embed.domain.WordEmbedError attribute) (zensols.deepnlp.transformer.resource.TransformerError attribute) _create_model() (zensols.deepnlp.index.domain.DocumentIndexVectorizer method) _parse_document() (zensols.deepnlp.feature.DocumentFeatureStash method)

A

add_dims (zensols.deepnlp.vectorize.vectorizers.TokenEmbeddingFeatureVectorizer attribute) add_sent_embeddings() (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureDocumentFactory method) add_token_embeddings() (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureDocumentFactory method) additional_columns (zensols.deepnlp.feature.DataframeDocumentFeatureStash attribute) ALL_OUTPUT (zensols.deepnlp.transformer.embed.TransformerEmbedding attribute) all_special_tokens (zensols.deepnlp.transformer.tokenizer.TransformerDocumentTokenizer property)

annotations_attribute (zensols.deepnlp.transformer.vectorizers.TransformerNominalFeatureVectorizer attribute) args (zensols.deepnlp.transformer.resource.TransformerResource attribute) attention_mask (zensols.deepnlp.transformer.domain.TokenizedDocument property) ATTR_EXP_META (zensols.deepnlp.feature.DocumentFeatureStash attribute) (zensols.deepnlp.vectorize.vectorizers.CountEnumContainerFeatureVectorizer attribute) (zensols.deepnlp.vectorize.vectorizers.EnumContainerFeatureVectorizer attribute) attribs (zensols.deepnlp.model.facade.LanguageModelFacadeConfig attribute)

B

batch_norm_d (zensols.deepnlp.layer.conv.DeepConvolution1dNetworkSettings attribute) begin_tag (zensols.deepnlp.model.sequence.BioSequenceAnnotationMapper attribute)

BioSequenceAnnotationMapper (class in zensols.deepnlp.model.sequence) boundary_tokens (zensols.deepnlp.transformer.domain.TokenizedDocument attribute)

C

cache (zensols.deepnlp.embed.domain.WordEmbedModel attribute) (zensols.deepnlp.transformer.embed.TransformerEmbedding property) (zensols.deepnlp.transformer.resource.TransformerResource attribute) cache_dir (zensols.deepnlp.transformer.resource.TransformerResource attribute) cached (zensols.deepnlp.transformer.resource.TransformerResource property) CachingWordPieceFeatureDocumentFactory (class in zensols.deepnlp.transformer.wordpiece) cased (zensols.deepnlp.transformer.resource.TransformerResource attribute) char_offsets (zensols.deepnlp.transformer.domain.TokenizedFeatureDocument attribute) ClassificationPredictionMapper (class in zensols.deepnlp.classify.pred) ClassifyModelFacade (class in zensols.deepnlp.classify.facade) ClassifyNetwork (class in zensols.deepnlp.classify.model) ClassifyNetworkSettings (class in zensols.deepnlp.classify.model) clear() (zensols.deepnlp.index.domain.DocumentIndexVectorizer method) (zensols.deepnlp.transformer.resource.TransformerResource method) (zensols.deepnlp.transformer.wordpiece.CachingWordPieceFeatureDocumentFactory method) clear_cache() (zensols.deepnlp.embed.domain.WordEmbedModel method) CLI_META (zensols.deepnlp.cli.NLPClassifyPackedModelApplication attribute) (zensols.deepnlp.cli.NLPFacadeBatchApplication attribute) (zensols.deepnlp.cli.NLPFacadeModelApplication attribute)

clone() (zensols.deepnlp.layer.conv.DeepConvolution1dNetworkSettings method) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureToken method) components (zensols.deepnlp.index.lsi.LatentSemanticDocumentIndexerVectorizer attribute) cont (zensols.deepnlp.transformer.mask.Prediction attribute) container (zensols.deepnlp.classify.domain.TokenContainerDataPoint attribute) contexts (zensols.deepnlp.transformer.vectorizers.TransformerExpanderFeatureContext attribute) copy_embedding() (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureDocument method) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureSpan method) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureToken method) corpus (zensols.deepnlp.embed.fasttext.FastTextEmbedModel attribute) count_feature_ids (zensols.deepnlp.model.facade.LanguageModelFacade property) count_vectorizer (zensols.deepnlp.vectorize.vectorizers.MutualFeaturesContainerFeatureVectorizer property) count_vectorizer_feature_id (zensols.deepnlp.vectorize.vectorizers.MutualFeaturesContainerFeatureVectorizer attribute) CountEnumContainerFeatureVectorizer (class in zensols.deepnlp.vectorize.vectorizers) COUNTS_ATTRIBUTE (zensols.deepnlp.classify.domain.LabeledBatch attribute) create() (zensols.deepnlp.transformer.wordpiece.CachingWordPieceFeatureDocumentFactory method) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureDocumentFactory method) create_training_docs() (zensols.deepnlp.index.domain.IndexedDocumentFactory method)

D

data_type (zensols.deepnlp.transformer.vectorizers.TransformerMaskFeatureVectorizer attribute) DataframeDocumentFeatureStash (class in zensols.deepnlp.feature) DATASET_NAME (zensols.deepnlp.embed.wordtext.TextWordEmbedModel attribute) deallocate() (zensols.deepnlp.embed.domain.WordEmbedModel method) (zensols.deepnlp.layer.conv.DeepConvolution1d method) (zensols.deepnlp.layer.embed.EmbeddingLayer method) (zensols.deepnlp.layer.embrecurcrf.EmbeddedRecurrentCRF method) (zensols.deepnlp.transformer.domain.TokenizedDocument method) (zensols.deepnlp.transformer.layer.TransformerEmbeddingLayer method) (zensols.deepnlp.transformer.layer.TransformerSequence method) (zensols.deepnlp.transformer.vectorizers.TransformerExpanderFeatureContext method) (zensols.deepnlp.transformer.vectorizers.TransformerFeatureContext method) (zensols.deepnlp.vectorize.manager.FeatureDocumentVectorizerManager method) decode() (zensols.deepnlp.vectorize.manager.FoldingDocumentVectorizer method) decode_as_flat (zensols.deepnlp.index.lda.TopicModelDocumentIndexerVectorizer attribute) decode_embedding (zensols.deepnlp.vectorize.embed.EmbeddingFeatureVectorizer attribute) decoded_feature_ids (zensols.deepnlp.vectorize.vectorizers.CountEnumContainerFeatureVectorizer attribute) (zensols.deepnlp.vectorize.vectorizers.EnumContainerFeatureVectorizer attribute) decoder_settings (zensols.deepnlp.transformer.layer.TransformerSequenceNetworkSettings attribute) decorate() (zensols.deepnlp.embed.doc.WordEmbedDocumentDecorator method) (zensols.deepnlp.transformer.wordpiece.WordPieceDocumentDecorator method) DeepConvolution1d (class in zensols.deepnlp.layer.conv) DeepConvolution1dNetworkSettings (class in zensols.deepnlp.layer.conv) DEFAULT_PARAMS (zensols.deepnlp.transformer.tokenizer.TransformerDocumentTokenizer attribute) DefaultTextWordEmbedModel (class in zensols.deepnlp.embed.wordtext) delegate_feature_id (zensols.deepnlp.transformer.vectorizers.TransformerNominalFeatureVectorizer attribute) delegate_feature_ids (zensols.deepnlp.transformer.vectorizers.TransformerExpanderFeatureVectorizer attribute) delegates (zensols.deepnlp.transformer.vectorizers.TransformerExpanderFeatureVectorizer property) DEPENDENCIES_ATTRIBUTE (zensols.deepnlp.classify.domain.LabeledBatch attribute) DEPENDENCY_EXPANDER_ATTRIBTE (zensols.deepnlp.classify.domain.LabeledBatch attribute) DependencyFeatureVectorizer (class in zensols.deepnlp.vectorize.spacy) DepthFeatureDocumentVectorizer (class in zensols.deepnlp.vectorize.vectorizers) desc (zensols.deepnlp.embed.fasttext.FastTextEmbedModel attribute) (zensols.deepnlp.embed.glove.GloveWordEmbedModel attribute) (zensols.deepnlp.embed.wordtext.DefaultTextWordEmbedModel attribute) (zensols.deepnlp.embed.wordtext.TextWordModelMetadata attribute) DESCRIPTION (zensols.deepnlp.index.lda.TopicModelDocumentIndexerVectorizer attribute) (zensols.deepnlp.index.lsi.LatentSemanticDocumentIndexerVectorizer attribute) (zensols.deepnlp.transformer.vectorizers.TransformerEmbeddingFeatureVectorizer attribute) (zensols.deepnlp.transformer.vectorizers.TransformerExpanderFeatureVectorizer attribute) (zensols.deepnlp.transformer.vectorizers.TransformerMaskFeatureVectorizer attribute) (zensols.deepnlp.transformer.vectorizers.TransformerNominalFeatureVectorizer attribute) (zensols.deepnlp.vectorize.embed.WordVectorEmbeddingFeatureVectorizer attribute) (zensols.deepnlp.vectorize.spacy.DependencyFeatureVectorizer attribute) (zensols.deepnlp.vectorize.spacy.NamedEntityRecognitionFeatureVectorizer attribute) (zensols.deepnlp.vectorize.spacy.PartOfSpeechFeatureVectorizer attribute) (zensols.deepnlp.vectorize.vectorizers.CountEnumContainerFeatureVectorizer attribute) (zensols.deepnlp.vectorize.vectorizers.DepthFeatureDocumentVectorizer attribute) (zensols.deepnlp.vectorize.vectorizers.EnumContainerFeatureVectorizer attribute) (zensols.deepnlp.vectorize.vectorizers.MutualFeaturesContainerFeatureVectorizer attribute) (zensols.deepnlp.vectorize.vectorizers.OneHotEncodedFeatureDocumentVectorizer attribute) (zensols.deepnlp.vectorize.vectorizers.OverlappingFeatureDocumentVectorizer attribute) (zensols.deepnlp.vectorize.vectorizers.StatisticsFeatureDocumentVectorizer attribute) (zensols.deepnlp.vectorize.vectorizers.TokenEmbeddingFeatureVectorizer attribute) (zensols.deepnlp.vectorize.vectorizers.WordEmbeddingFeatureVectorizer attribute)

detach() (zensols.deepnlp.transformer.domain.TokenizedDocument method) (zensols.deepnlp.transformer.domain.TokenizedFeatureDocument method) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureToken method) df (zensols.deepnlp.transformer.mask.Prediction attribute) dimension (zensols.deepnlp.embed.fasttext.FastTextEmbedModel attribute) (zensols.deepnlp.embed.glove.GloveWordEmbedModel attribute) (zensols.deepnlp.embed.word2vec.Word2VecModel attribute) (zensols.deepnlp.embed.wordtext.DefaultTextWordEmbedModel attribute) (zensols.deepnlp.embed.wordtext.TextWordModelMetadata attribute) dist() (zensols.deepnlp.vectorize.spacy.SpacyFeatureVectorizer method) doc (zensols.deepnlp.classify.domain.TokenContainerDataPoint property) (zensols.deepnlp.model.sequence.SequenceAnnotation attribute) (zensols.deepnlp.model.sequence.SequenceDocumentAnnotation attribute) doc_factory (zensols.deepnlp.index.domain.DocumentIndexVectorizer attribute) doc_parser (zensols.deepnlp.model.facade.LanguageModelFacade property) (zensols.deepnlp.vectorize.manager.FeatureDocumentVectorizerManager attribute) DOCUMENT (zensols.deepnlp.vectorize.manager.TextFeatureType attribute) document_limit (zensols.deepnlp.feature.DocumentFeatureStash attribute) DocumentFeatureStash (class in zensols.deepnlp.feature) DocumentIndexVectorizer (class in zensols.deepnlp.index.domain) dump_batches() (zensols.deepnlp.cli.NLPFacadeBatchApplication method)

E

embed_model (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureDocumentFactory attribute) (zensols.deepnlp.vectorize.embed.EmbeddingFeatureVectorizer attribute) (zensols.deepnlp.vectorize.vectorizers.WordEmbeddingFeatureVectorizer attribute) embedded_document_attribute (zensols.deepnlp.transformer.pred.TransformerSequencePredictionsDataFrameFactory attribute) EmbeddedRecurrentCRF (class in zensols.deepnlp.layer.embrecurcrf) EmbeddedRecurrentCRFSettings (class in zensols.deepnlp.layer.embrecurcrf) embedding (zensols.deepnlp.model.facade.LanguageModelFacade property) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureDocument property) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureSpan attribute) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureToken attribute) EMBEDDING (zensols.deepnlp.vectorize.manager.TextFeatureType attribute) embedding_attribs (zensols.deepnlp.model.facade.LanguageModelFacadeConfig attribute) EMBEDDING_ATTRIBUTES (zensols.deepnlp.classify.domain.LabeledBatch attribute) embedding_dimension (zensols.deepnlp.layer.conv.DeepConvolution1dNetworkSettings attribute) (zensols.deepnlp.layer.embed.EmbeddingNetworkModule property)

embedding_layer (zensols.deepnlp.layer.embed.EmbeddingNetworkSettings attribute) EmbeddingFeatureVectorizer (class in zensols.deepnlp.vectorize.embed) EmbeddingLayer (class in zensols.deepnlp.layer.embed) EmbeddingNetworkModule (class in zensols.deepnlp.layer.embed) EmbeddingNetworkSettings (class in zensols.deepnlp.layer.embed) encode() (zensols.deepnlp.vectorize.manager.FeatureDocumentVectorizer method) (zensols.deepnlp.vectorize.manager.FoldingDocumentVectorizer method) (zensols.deepnlp.vectorize.manager.MultiDocumentVectorizer method) (zensols.deepnlp.vectorize.vectorizers.DepthFeatureDocumentVectorizer method) (zensols.deepnlp.vectorize.vectorizers.TokenEmbeddingFeatureVectorizer method) encode_tokenized (zensols.deepnlp.transformer.vectorizers.TransformerFeatureVectorizer attribute) ENUM_EXPANDER_ATTRIBUTE (zensols.deepnlp.classify.domain.LabeledBatch attribute) enum_feature_ids (zensols.deepnlp.model.facade.LanguageModelFacade property) EnumContainerFeatureVectorizer (class in zensols.deepnlp.vectorize.vectorizers) ENUMS_ATTRIBUTE (zensols.deepnlp.classify.domain.LabeledBatch attribute)

F

facade (zensols.deepnlp.cli.NLPClassifyPackedModelApplication property) factory (zensols.deepnlp.feature.DocumentFeatureStash attribute) FASTTEXT_CRAWL_300_EMBEDDING (zensols.deepnlp.classify.domain.LabeledBatch attribute) FASTTEXT_NEWS_300_EMBEDDING (zensols.deepnlp.classify.domain.LabeledBatch attribute) FastTextEmbedModel (class in zensols.deepnlp.embed.fasttext) feat_to_tokens() (zensols.deepnlp.index.domain.DocumentIndexVectorizer static method) feature (zensols.deepnlp.transformer.domain.TokenizedFeatureDocument attribute) feature_attribute (zensols.deepnlp.vectorize.vectorizers.OneHotEncodedFeatureDocumentVectorizer attribute) feature_id (zensols.deepnlp.transformer.mask.MaskFiller attribute) FEATURE_ID (zensols.deepnlp.vectorize.spacy.DependencyFeatureVectorizer attribute) (zensols.deepnlp.vectorize.spacy.NamedEntityRecognitionFeatureVectorizer attribute) (zensols.deepnlp.vectorize.spacy.PartOfSpeechFeatureVectorizer attribute) feature_stash (zensols.deepnlp.classify.facade.ClassifyModelFacade property) FEATURE_TYPE (zensols.deepnlp.index.lda.TopicModelDocumentIndexerVectorizer attribute) (zensols.deepnlp.index.lsi.LatentSemanticDocumentIndexerVectorizer attribute) (zensols.deepnlp.transformer.vectorizers.LabelTransformerFeatureVectorizer attribute) (zensols.deepnlp.transformer.vectorizers.TransformerEmbeddingFeatureVectorizer attribute) (zensols.deepnlp.transformer.vectorizers.TransformerExpanderFeatureVectorizer attribute) feature_type (zensols.deepnlp.transformer.vectorizers.TransformerFeatureVectorizer property) FEATURE_TYPE (zensols.deepnlp.vectorize.embed.WordVectorEmbeddingFeatureVectorizer attribute) feature_type (zensols.deepnlp.vectorize.manager.FeatureDocumentVectorizer property)

FEATURE_TYPE (zensols.deepnlp.vectorize.manager.MultiDocumentVectorizer attribute) (zensols.deepnlp.vectorize.vectorizers.CountEnumContainerFeatureVectorizer attribute) (zensols.deepnlp.vectorize.vectorizers.DepthFeatureDocumentVectorizer attribute) (zensols.deepnlp.vectorize.vectorizers.EnumContainerFeatureVectorizer attribute) feature_type (zensols.deepnlp.vectorize.vectorizers.OneHotEncodedFeatureDocumentVectorizer property) FEATURE_TYPE (zensols.deepnlp.vectorize.vectorizers.StatisticsFeatureDocumentVectorizer attribute) feature_type (zensols.deepnlp.vectorize.vectorizers.TokenEmbeddingFeatureVectorizer property) FEATURE_TYPE (zensols.deepnlp.vectorize.vectorizers.WordEmbeddingFeatureVectorizer attribute) feature_value (zensols.deepnlp.transformer.mask.MaskFiller attribute) FeatureDocumentVectorizer (class in zensols.deepnlp.vectorize.manager) FeatureDocumentVectorizerManager (class in zensols.deepnlp.vectorize.manager) file_name (zensols.deepnlp.embed.wordtext.DefaultTextWordEmbedModel property) file_name_pattern (zensols.deepnlp.embed.wordtext.DefaultTextWordEmbedModel attribute) fold_method (zensols.deepnlp.vectorize.manager.FoldingDocumentVectorizer attribute) FoldingDocumentVectorizer (class in zensols.deepnlp.vectorize.manager) forward() (zensols.deepnlp.layer.wordvec.WordVectorEmbeddingLayer method) (zensols.deepnlp.transformer.layer.TransformerEmbeddingLayer method) forward_document_features() (zensols.deepnlp.layer.embed.EmbeddingNetworkModule method) forward_embedding_features() (zensols.deepnlp.layer.embed.EmbeddingNetworkModule method) forward_token_features() (zensols.deepnlp.layer.embed.EmbeddingNetworkModule method) from_spacy() (zensols.deepnlp.vectorize.spacy.SpacyFeatureVectorizer method) from_tensor() (zensols.deepnlp.transformer.domain.TokenizedDocument class method)

G

get() (zensols.deepnlp.embed.domain.WordEmbedModel method) get_container() (zensols.deepnlp.transformer.mask.Prediction method) get_document() (zensols.deepnlp.transformer.vectorizers.TransformerFeatureContext method) get_embedding_tensors() (zensols.deepnlp.layer.embed.EmbeddingNetworkModule method) get_feature_counts() (zensols.deepnlp.vectorize.vectorizers.CountEnumContainerFeatureVectorizer method) get_feature_document() (zensols.deepnlp.transformer.vectorizers.TransformerFeatureContext method) get_layers() (zensols.deepnlp.layer.conv.DeepConvolution1d method) get_max_word_piece_len() (zensols.deepnlp.model.facade.LanguageModelFacade method) get_module_class_name() (zensols.deepnlp.classify.model.ClassifyNetworkSettings method) (zensols.deepnlp.layer.conv.DeepConvolution1dNetworkSettings method) (zensols.deepnlp.layer.embed.EmbeddingNetworkSettings method) (zensols.deepnlp.layer.embrecurcrf.EmbeddedRecurrentCRFSettings method) (zensols.deepnlp.transformer.layer.TransformerSequenceNetworkSettings method)

get_predictions() (zensols.deepnlp.classify.facade.ClassifyModelFacade method) (zensols.deepnlp.classify.facade.TokenClassifyModelFacade method) get_token_length() (zensols.deepnlp.vectorize.manager.FeatureDocumentVectorizerManager method) get_tokens() (zensols.deepnlp.transformer.mask.Prediction method) get_transformer_vectorizer() (zensols.deepnlp.model.facade.LanguageModelFacade method) get_wordpiece_count() (zensols.deepnlp.transformer.domain.TokenizedDocument method) GLOVE_300_EMBEDDING (zensols.deepnlp.classify.domain.LabeledBatch attribute) GLOVE_50_EMBEDDING (zensols.deepnlp.classify.domain.LabeledBatch attribute) GloveWordEmbedModel (class in zensols.deepnlp.embed.glove)

H

hasher (zensols.deepnlp.transformer.wordpiece.CachingWordPieceFeatureDocumentFactory attribute)

I

id2tok (zensols.deepnlp.transformer.domain.TokenizedFeatureDocument attribute) (zensols.deepnlp.transformer.tokenizer.TransformerDocumentTokenizer property) id_from_spacy() (zensols.deepnlp.vectorize.spacy.SpacyFeatureVectorizer method) id_from_spacy_symbol() (zensols.deepnlp.vectorize.spacy.SpacyFeatureVectorizer method) in_tag (zensols.deepnlp.model.sequence.BioSequenceAnnotationMapper attribute) index (zensols.deepnlp.transformer.wordpiece.WordPiece attribute) index_path (zensols.deepnlp.index.domain.DocumentIndexVectorizer attribute) IndexedDocumentFactory (class in zensols.deepnlp.index.domain) indexes (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureToken property)

init() (in module zensols.deepnlp) input_ids (zensols.deepnlp.transformer.domain.TokenizedDocument property) installer (zensols.deepnlp.embed.word2vec.Word2VecModel attribute) (zensols.deepnlp.embed.wordtext.TextWordEmbedModel attribute) is_batch_token_length (zensols.deepnlp.vectorize.manager.FeatureDocumentVectorizerManager property) is_labeler (zensols.deepnlp.transformer.vectorizers.LabelTransformerFeatureVectorizer attribute) (zensols.deepnlp.transformer.vectorizers.TransformerFeatureVectorizer attribute) is_unknown (zensols.deepnlp.transformer.wordpiece.WordPiece property) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureToken property) iterations (zensols.deepnlp.index.lsi.LatentSemanticDocumentIndexerVectorizer attribute)

K

k (zensols.deepnlp.transformer.mask.MaskFiller attribute)

keyed_vectors (zensols.deepnlp.embed.domain.WordEmbedModel property) keys() (zensols.deepnlp.embed.domain.WordEmbedModel method)

L

label (zensols.deepnlp.classify.domain.LabeledFeatureDocument attribute) (zensols.deepnlp.classify.domain.LabeledFeatureDocumentDataPoint property) (zensols.deepnlp.model.sequence.SequenceAnnotation attribute) label_all_tokens (zensols.deepnlp.transformer.vectorizers.TransformerNominalFeatureVectorizer attribute) label_feature_id (zensols.deepnlp.classify.pred.ClassificationPredictionMapper attribute) label_vectorizer (zensols.deepnlp.classify.pred.ClassificationPredictionMapper property) LabeledBatch (class in zensols.deepnlp.classify.domain) LabeledFeatureDocument (class in zensols.deepnlp.classify.domain) LabeledFeatureDocumentDataPoint (class in zensols.deepnlp.classify.domain) LabelTransformerFeatureVectorizer (class in zensols.deepnlp.transformer.vectorizers) LANG (zensols.deepnlp.vectorize.spacy.DependencyFeatureVectorizer attribute) (zensols.deepnlp.vectorize.spacy.NamedEntityRecognitionFeatureVectorizer attribute) (zensols.deepnlp.vectorize.spacy.PartOfSpeechFeatureVectorizer attribute) LANGUAGE_ATTRIBUTES (zensols.deepnlp.classify.domain.LabeledBatch attribute)

language_attributes (zensols.deepnlp.model.facade.LanguageModelFacade property) LANGUAGE_FEATURE_MANAGER_NAME (zensols.deepnlp.classify.domain.LabeledBatch attribute) LANGUAGE_MODEL_CONFIG (zensols.deepnlp.classify.facade.ClassifyModelFacade attribute) language_vectorizer_manager (zensols.deepnlp.model.facade.LanguageModelFacade property) LanguageModelFacade (class in zensols.deepnlp.model.facade) LanguageModelFacadeConfig (class in zensols.deepnlp.model.facade) LAST_HIDDEN_STATE_OUTPUT (zensols.deepnlp.transformer.embed.TransformerEmbedding attribute) LatentSemanticDocumentIndexerVectorizer (class in zensols.deepnlp.index.lsi) layer_factory (zensols.deepnlp.layer.conv.DeepConvolution1dNetworkSettings property) level (zensols.deepnlp.vectorize.vectorizers.OneHotEncodedFeatureDocumentVectorizer attribute) (zensols.deepnlp.vectorize.vectorizers.TokenEmbeddingFeatureVectorizer attribute) linear_settings (zensols.deepnlp.classify.model.ClassifyNetworkSettings attribute) lowercase (zensols.deepnlp.embed.domain.WordEmbedModel attribute) lsa (zensols.deepnlp.index.lsi.LatentSemanticDocumentIndexerVectorizer property)

M

manager_name (zensols.deepnlp.model.facade.LanguageModelFacadeConfig attribute) map() (zensols.deepnlp.model.sequence.BioSequenceAnnotationMapper method) map_results() (zensols.deepnlp.classify.pred.ClassificationPredictionMapper method) (zensols.deepnlp.classify.pred.SequencePredictionMapper method) map_to_word_pieces() (zensols.deepnlp.transformer.domain.TokenizedDocument method) (zensols.deepnlp.transformer.domain.TokenizedFeatureDocument method) map_word_pieces() (zensols.deepnlp.transformer.domain.TokenizedDocument static method) MAPPINGS (zensols.deepnlp.classify.domain.LabeledBatch attribute) mask_attribute (zensols.deepnlp.layer.embrecurcrf.EmbeddedRecurrentCRFSettings attribute) masked_token_dicts (zensols.deepnlp.transformer.mask.Prediction property) masked_tokens (zensols.deepnlp.transformer.mask.Prediction attribute) MaskFiller (class in zensols.deepnlp.transformer.mask) matrix (zensols.deepnlp.embed.domain.WordEmbedModel property) mention (zensols.deepnlp.model.sequence.SequenceAnnotation property) metadata (zensols.deepnlp.embed.wordtext.TextWordEmbedModel property) model (zensols.deepnlp.embed.doc.WordEmbedDocumentDecorator attribute) (zensols.deepnlp.index.domain.DocumentIndexVectorizer property) (zensols.deepnlp.transformer.embed.TransformerEmbedding property) (zensols.deepnlp.transformer.resource.TransformerResource property) model_args (zensols.deepnlp.transformer.resource.TransformerResource attribute) model_class (zensols.deepnlp.transformer.resource.TransformerResource attribute) model_id (zensols.deepnlp.embed.domain.WordEmbedModel property) (zensols.deepnlp.transformer.resource.TransformerResource attribute) model_path (zensols.deepnlp.cli.NLPSequenceClassifyFacadeModelApplication attribute) model_type (zensols.deepnlp.embed.word2vec.Word2VecModel attribute) module zensols.deepnlp zensols.deepnlp.classify zensols.deepnlp.classify.domain zensols.deepnlp.classify.facade zensols.deepnlp.classify.model zensols.deepnlp.classify.pred zensols.deepnlp.cli zensols.deepnlp.embed zensols.deepnlp.embed.doc zensols.deepnlp.embed.domain zensols.deepnlp.embed.fasttext zensols.deepnlp.embed.glove zensols.deepnlp.embed.word2vec zensols.deepnlp.embed.wordtext zensols.deepnlp.feature zensols.deepnlp.index zensols.deepnlp.index.domain zensols.deepnlp.index.lda zensols.deepnlp.index.lsi zensols.deepnlp.layer zensols.deepnlp.layer.conv zensols.deepnlp.layer.embed zensols.deepnlp.layer.embrecurcrf zensols.deepnlp.layer.wordvec zensols.deepnlp.model zensols.deepnlp.model.facade zensols.deepnlp.model.sequence zensols.deepnlp.transformer zensols.deepnlp.transformer.domain zensols.deepnlp.transformer.embed zensols.deepnlp.transformer.layer zensols.deepnlp.transformer.mask zensols.deepnlp.transformer.optimizer zensols.deepnlp.transformer.pred zensols.deepnlp.transformer.resource zensols.deepnlp.transformer.tokenizer zensols.deepnlp.transformer.vectorizers zensols.deepnlp.transformer.wordpiece zensols.deepnlp.vectorize zensols.deepnlp.vectorize.embed zensols.deepnlp.vectorize.manager zensols.deepnlp.vectorize.spacy zensols.deepnlp.vectorize.vectorizers

MODULE_NAME (zensols.deepnlp.classify.model.ClassifyNetwork attribute) (zensols.deepnlp.layer.conv.DeepConvolution1d attribute) (zensols.deepnlp.layer.embed.EmbeddingNetworkModule attribute) (zensols.deepnlp.layer.embrecurcrf.EmbeddedRecurrentCRF attribute) (zensols.deepnlp.transformer.layer.TransformerEmbeddingLayer attribute) (zensols.deepnlp.transformer.layer.TransformerSequence attribute) MULTI_DOCUMENT (zensols.deepnlp.vectorize.manager.TextFeatureType attribute) MultiDocumentVectorizer (class in zensols.deepnlp.vectorize.manager) MutualFeaturesContainerFeatureVectorizer (class in zensols.deepnlp.vectorize.vectorizers)

N

n_filters (zensols.deepnlp.layer.conv.DeepConvolution1dNetworkSettings attribute) n_vocab (zensols.deepnlp.embed.wordtext.TextWordModelMetadata attribute) name (zensols.deepnlp.embed.domain.WordEmbedModel attribute) (zensols.deepnlp.embed.wordtext.DefaultTextWordEmbedModel attribute) (zensols.deepnlp.embed.wordtext.TextWordModelMetadata attribute) (zensols.deepnlp.transformer.embed.TransformerEmbedding attribute) (zensols.deepnlp.transformer.resource.TransformerResource attribute)

NamedEntityRecognitionFeatureVectorizer (class in zensols.deepnlp.vectorize.spacy) NLPClassifyFacadeModelApplication (class in zensols.deepnlp.cli) NLPClassifyPackedModelApplication (class in zensols.deepnlp.cli) NLPFacadeBatchApplication (class in zensols.deepnlp.cli) NLPFacadeModelApplication (class in zensols.deepnlp.cli) NLPSequenceClassifyFacadeModelApplication (class in zensols.deepnlp.cli) NONE (zensols.deepnlp.vectorize.manager.TextFeatureType attribute) normalize_huggingface_logging() (in module zensols.deepnlp.transformer)

O

offsets (zensols.deepnlp.transformer.domain.TokenizedDocument property) OneHotEncodedFeatureDocumentVectorizer (class in zensols.deepnlp.vectorize.vectorizers) ones (zensols.deepnlp.vectorize.vectorizers.MutualFeaturesContainerFeatureVectorizer property)

out_tag (zensols.deepnlp.model.sequence.BioSequenceAnnotationMapper attribute) output (zensols.deepnlp.transformer.embed.TransformerEmbedding attribute) output_attentions (zensols.deepnlp.transformer.embed.TransformerEmbedding attribute) OverlappingFeatureDocumentVectorizer (class in zensols.deepnlp.vectorize.vectorizers)

P

padding (zensols.deepnlp.layer.conv.DeepConvolution1dNetworkSettings attribute) params (zensols.deepnlp.transformer.tokenizer.TransformerDocumentTokenizer attribute) params() (zensols.deepnlp.transformer.domain.TokenizedDocument method) parse() (zensols.deepnlp.vectorize.manager.FeatureDocumentVectorizerManager method) PartOfSpeechFeatureVectorizer (class in zensols.deepnlp.vectorize.spacy) path (zensols.deepnlp.embed.word2vec.Word2VecModel property) (zensols.deepnlp.embed.wordtext.TextWordEmbedModel attribute) pool_factory (zensols.deepnlp.layer.conv.DeepConvolution1dNetworkSettings property) pool_padding (zensols.deepnlp.layer.conv.DeepConvolution1dNetworkSettings attribute) pool_stride (zensols.deepnlp.layer.conv.DeepConvolution1dNetworkSettings attribute) pool_token_kernel (zensols.deepnlp.layer.conv.DeepConvolution1dNetworkSettings attribute) POOLER_OUTPUT (zensols.deepnlp.transformer.embed.TransformerEmbedding attribute) pred (zensols.deepnlp.classify.domain.LabeledFeatureDocument attribute) pred_attribute (zensols.deepnlp.classify.pred.ClassificationPredictionMapper attribute)

predict() (zensols.deepnlp.classify.facade.ClassifyModelFacade method) (zensols.deepnlp.cli.NLPClassifyPackedModelApplication method) (zensols.deepnlp.transformer.mask.MaskFiller method) predict_text() (zensols.deepnlp.cli.NLPClassifyFacadeModelApplication method) (zensols.deepnlp.cli.NLPSequenceClassifyFacadeModelApplication method) Prediction (class in zensols.deepnlp.transformer.mask) prediction (zensols.deepnlp.transformer.mask.TokenPrediction attribute) predictions_dataframe_factory_class (zensols.deepnlp.classify.facade.TokenClassifyModelFacade attribute) pretrained_tokenizer (zensols.deepnlp.transformer.tokenizer.TransformerDocumentTokenizer property) prime() (zensols.deepnlp.embed.domain.WordEmbedModel method) (zensols.deepnlp.embed.wordtext.TextWordEmbedModel method) (zensols.deepnlp.feature.DocumentFeatureStash method) (zensols.deepnlp.index.domain.DocumentIndexVectorizer method) (zensols.deepnlp.vectorize.embed.EmbeddingFeatureVectorizer method)

Q

query() (zensols.deepnlp.index.lda.TopicModelDocumentIndexerVectorizer method)

R

recurrent_crf_settings (zensols.deepnlp.layer.embrecurcrf.EmbeddedRecurrentCRFSettings attribute) recurrent_settings (zensols.deepnlp.classify.model.ClassifyNetworkSettings attribute) repeats (zensols.deepnlp.layer.conv.DeepConvolution1dNetworkSettings attribute) reset_parameters() (zensols.deepnlp.layer.embed.TrainableEmbeddingLayer method)

resource (zensols.deepnlp.embed.word2vec.Word2VecModel attribute) (zensols.deepnlp.embed.wordtext.TextWordEmbedModel attribute) (zensols.deepnlp.transformer.embed.TransformerEmbedding property) (zensols.deepnlp.transformer.mask.MaskFiller attribute) (zensols.deepnlp.transformer.tokenizer.TransformerDocumentTokenizer attribute)

S

score (zensols.deepnlp.transformer.mask.TokenPrediction attribute) sent (zensols.deepnlp.model.sequence.SequenceAnnotation property) sent_embeddings (zensols.deepnlp.embed.doc.WordEmbedDocumentDecorator attribute) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureDocumentFactory attribute) sequence_anons (zensols.deepnlp.model.sequence.SequenceDocumentAnnotation attribute) SequenceAnnotation (class in zensols.deepnlp.model.sequence) SequenceDocumentAnnotation (class in zensols.deepnlp.model.sequence) SequencePredictionMapper (class in zensols.deepnlp.classify.pred) shape (zensols.deepnlp.embed.domain.WordEmbedModel property) (zensols.deepnlp.transformer.domain.TokenizedDocument property) similarity() (zensols.deepnlp.index.lsi.LatentSemanticDocumentIndexerVectorizer method) skip_oov (zensols.deepnlp.embed.doc.WordEmbedDocumentDecorator attribute) softmax_logit (zensols.deepnlp.classify.domain.LabeledFeatureDocument attribute) softmax_logit_attribute (zensols.deepnlp.classify.pred.ClassificationPredictionMapper attribute)

source_path (zensols.deepnlp.embed.wordtext.TextWordModelMetadata attribute) spacy_doc (zensols.deepnlp.model.sequence.SequenceDocumentAnnotation property) spacy_vectorizers (zensols.deepnlp.vectorize.manager.FeatureDocumentVectorizerManager property) SpacyFeatureVectorizer (class in zensols.deepnlp.vectorize.spacy) stash (zensols.deepnlp.transformer.wordpiece.CachingWordPieceFeatureDocumentFactory attribute) state_dict() (zensols.deepnlp.layer.embed.TrainableEmbeddingLayer method) StatisticsFeatureDocumentVectorizer (class in zensols.deepnlp.vectorize.vectorizers) STATS_ATTRIBUTE (zensols.deepnlp.classify.domain.LabeledBatch attribute) stride (zensols.deepnlp.layer.conv.DeepConvolution1dNetworkSettings attribute) sub_directory (zensols.deepnlp.embed.wordtext.TextWordModelMetadata attribute) suppress_transformer_warnings (zensols.deepnlp.model.facade.LanguageModelFacade attribute) suppress_warnings() (in module zensols.deepnlp.transformer) SYMBOLS (zensols.deepnlp.vectorize.spacy.DependencyFeatureVectorizer attribute) (zensols.deepnlp.vectorize.spacy.NamedEntityRecognitionFeatureVectorizer attribute) (zensols.deepnlp.vectorize.spacy.PartOfSpeechFeatureVectorizer attribute)

T

tensor (zensols.deepnlp.transformer.domain.TokenizedDocument attribute) tensor_predictions (zensols.deepnlp.layer.embrecurcrf.EmbeddedRecurrentCRFSettings attribute) text_column (zensols.deepnlp.feature.DataframeDocumentFeatureStash attribute) TextFeatureType (class in zensols.deepnlp.vectorize.manager) TextWordEmbedModel (class in zensols.deepnlp.embed.wordtext) TextWordModelMetadata (class in zensols.deepnlp.embed.wordtext) to_matrix() (zensols.deepnlp.embed.domain.WordEmbedModel method) (zensols.deepnlp.embed.domain.WordVectorModel method) to_symbols() (zensols.deepnlp.vectorize.vectorizers.CountEnumContainerFeatureVectorizer method) (zensols.deepnlp.vectorize.vectorizers.EnumContainerFeatureVectorizer method) token (zensols.deepnlp.transformer.mask.TokenPrediction attribute) TOKEN (zensols.deepnlp.vectorize.manager.TextFeatureType attribute) token_embedding (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureToken property) token_embeddings (zensols.deepnlp.embed.doc.WordEmbedDocumentDecorator attribute) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureDocumentFactory attribute) token_feature_id (zensols.deepnlp.vectorize.embed.WordVectorEmbeddingFeatureVectorizer attribute) token_feature_ids (zensols.deepnlp.vectorize.manager.FeatureDocumentVectorizerManager attribute) token_kernel (zensols.deepnlp.layer.conv.DeepConvolution1dNetworkSettings attribute) token_labels (zensols.deepnlp.classify.domain.TokenContainerDataPoint property) token_length (zensols.deepnlp.layer.conv.DeepConvolution1dNetworkSettings attribute) (zensols.deepnlp.layer.embed.EmbeddingLayer property) (zensols.deepnlp.vectorize.manager.FeatureDocumentVectorizer property) (zensols.deepnlp.vectorize.manager.FeatureDocumentVectorizerManager attribute) token_matches (zensols.deepnlp.model.sequence.SequenceAnnotation property) (zensols.deepnlp.model.sequence.SequenceDocumentAnnotation property) token_max_length (zensols.deepnlp.transformer.tokenizer.TransformerDocumentTokenizer property) token_type_ids (zensols.deepnlp.transformer.domain.TokenizedDocument property) TokenClassifyModelFacade (class in zensols.deepnlp.classify.facade) TokenContainerDataPoint (class in zensols.deepnlp.classify.domain) TokenEmbeddingFeatureVectorizer (class in zensols.deepnlp.vectorize.vectorizers) tokenize() (zensols.deepnlp.transformer.embed.TransformerEmbedding method) (zensols.deepnlp.transformer.tokenizer.TransformerDocumentTokenizer method) (zensols.deepnlp.transformer.vectorizers.TransformerFeatureVectorizer method) tokenized (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureDocument attribute) TokenizedDocument (class in zensols.deepnlp.transformer.domain) TokenizedFeatureDocument (class in zensols.deepnlp.transformer.domain) tokenizer (zensols.deepnlp.transformer.embed.TransformerEmbedding attribute) (zensols.deepnlp.transformer.resource.TransformerResource property) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureDocumentFactory attribute)

tokenizer_args (zensols.deepnlp.transformer.resource.TransformerResource attribute) tokenizer_class (zensols.deepnlp.transformer.resource.TransformerResource attribute) TokenPrediction (class in zensols.deepnlp.transformer.mask) tokens (zensols.deepnlp.model.sequence.SequenceAnnotation attribute) TopicModelDocumentIndexerVectorizer (class in zensols.deepnlp.index.lda) topics (zensols.deepnlp.index.lda.TopicModelDocumentIndexerVectorizer attribute) torch_config (zensols.deepnlp.embed.doc.WordEmbedDocumentDecorator attribute) (zensols.deepnlp.layer.embed.EmbeddingLayer property) (zensols.deepnlp.transformer.resource.TransformerResource attribute) (zensols.deepnlp.vectorize.spacy.SpacyFeatureVectorizer attribute) trainable (zensols.deepnlp.transformer.embed.TransformerEmbedding property) (zensols.deepnlp.transformer.resource.TransformerResource attribute) TrainableEmbeddingLayer (class in zensols.deepnlp.layer.embed) transform() (zensols.deepnlp.transformer.embed.TransformerEmbedding method) (zensols.deepnlp.vectorize.spacy.SpacyFeatureVectorizer method) TRANSFORMER_FIXED_EMBEDDING (zensols.deepnlp.classify.domain.LabeledBatch attribute) TRANSFORMER_TRAINBLE_EMBEDDING (zensols.deepnlp.classify.domain.LabeledBatch attribute) TransformerAdamFactory (class in zensols.deepnlp.transformer.optimizer) TransformerDocumentTokenizer (class in zensols.deepnlp.transformer.tokenizer) TransformerEmbedding (class in zensols.deepnlp.transformer.embed) TransformerEmbeddingFeatureVectorizer (class in zensols.deepnlp.transformer.vectorizers) TransformerEmbeddingLayer (class in zensols.deepnlp.transformer.layer) TransformerError TransformerExpanderFeatureContext (class in zensols.deepnlp.transformer.vectorizers) TransformerExpanderFeatureVectorizer (class in zensols.deepnlp.transformer.vectorizers) TransformerFeatureContext (class in zensols.deepnlp.transformer.vectorizers) TransformerFeatureVectorizer (class in zensols.deepnlp.transformer.vectorizers) TransformerMaskFeatureVectorizer (class in zensols.deepnlp.transformer.vectorizers) TransformerNominalFeatureVectorizer (class in zensols.deepnlp.transformer.vectorizers) TransformerResource (class in zensols.deepnlp.transformer.resource) TransformerSchedulerFactory (class in zensols.deepnlp.transformer.optimizer) TransformerSequence (class in zensols.deepnlp.transformer.layer) TransformerSequenceNetworkSettings (class in zensols.deepnlp.transformer.layer) TransformerSequencePredictionsDataFrameFactory (class in zensols.deepnlp.transformer.pred) truncate() (zensols.deepnlp.transformer.domain.TokenizedDocument method) turn_off_huggingface_downloads() (in module zensols.deepnlp.transformer)

U

unk_idx (zensols.deepnlp.embed.domain.WordEmbedModel property) UNKNOWN (zensols.deepnlp.embed.domain.WordEmbedModel attribute) unknown_count (zensols.deepnlp.transformer.wordpiece.WordPieceTokenContainer property)

UNKNOWN_TOKEN (zensols.deepnlp.transformer.wordpiece.WordPiece attribute) unpacker (zensols.deepnlp.cli.NLPClassifyPackedModelApplication attribute) use_crf (zensols.deepnlp.layer.embrecurcrf.EmbeddedRecurrentCRFSettings attribute)

V

vec_manager (zensols.deepnlp.classify.pred.ClassificationPredictionMapper attribute) (zensols.deepnlp.feature.DocumentFeatureStash attribute) vector_dimension (zensols.deepnlp.embed.domain.WordEmbedModel property) (zensols.deepnlp.transformer.embed.TransformerEmbedding property) vectorizer (zensols.deepnlp.index.lsi.LatentSemanticDocumentIndexerVectorizer property) vectorizer_by_name() (zensols.deepnlp.layer.embed.EmbeddingNetworkModule method) vectorizer_params (zensols.deepnlp.index.lsi.LatentSemanticDocumentIndexerVectorizer attribute)

VECTORIZERS (zensols.deepnlp.vectorize.spacy.SpacyFeatureVectorizer attribute) vectors (zensols.deepnlp.embed.domain.WordEmbedModel property) (zensols.deepnlp.embed.domain.WordVectorModel attribute) (zensols.deepnlp.vectorize.embed.WordVectorEmbeddingFeatureVectorizer property) vocab (zensols.deepnlp.vectorize.spacy.SpacyFeatureVectorizer attribute) vocab_index (zensols.deepnlp.transformer.wordpiece.WordPiece attribute) vocab_size (zensols.deepnlp.embed.glove.GloveWordEmbedModel attribute) (zensols.deepnlp.embed.wordtext.DefaultTextWordEmbedModel attribute)

W

word (zensols.deepnlp.transformer.wordpiece.WordPiece attribute) word2idx (zensols.deepnlp.embed.domain.WordVectorModel attribute) word2idx() (zensols.deepnlp.embed.domain.WordEmbedModel method) word2idx_or_unk() (zensols.deepnlp.embed.domain.WordEmbedModel method) word2vec (zensols.deepnlp.embed.domain.WordVectorModel attribute) WORD2VEC_300_EMBEDDING (zensols.deepnlp.classify.domain.LabeledBatch attribute) Word2VecModel (class in zensols.deepnlp.embed.word2vec) word_iter() (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureToken method) (zensols.deepnlp.transformer.wordpiece.WordPieceTokenContainer method) word_piece_doc_factory (zensols.deepnlp.transformer.wordpiece.WordPieceDocumentDecorator attribute) word_piece_token_length (zensols.deepnlp.transformer.tokenizer.TransformerDocumentTokenizer attribute) (zensols.deepnlp.transformer.vectorizers.TransformerFeatureVectorizer property) WordEmbeddingFeatureVectorizer (class in zensols.deepnlp.vectorize.vectorizers) WordEmbedDocumentDecorator (class in zensols.deepnlp.embed.doc) WordEmbedError WordEmbedModel (class in zensols.deepnlp.embed.domain) WordPiece (class in zensols.deepnlp.transformer.wordpiece) WordPieceDocumentDecorator (class in zensols.deepnlp.transformer.wordpiece) WordPieceFeatureDocument (class in zensols.deepnlp.transformer.wordpiece) WordPieceFeatureDocumentFactory (class in zensols.deepnlp.transformer.wordpiece) WordPieceFeatureSentence (class in zensols.deepnlp.transformer.wordpiece) WordPieceFeatureSpan (class in zensols.deepnlp.transformer.wordpiece)

WordPieceFeatureToken (class in zensols.deepnlp.transformer.wordpiece) WordPieceTokenContainer (class in zensols.deepnlp.transformer.wordpiece) words (zensols.deepnlp.embed.domain.WordVectorModel attribute) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureToken attribute) WordVectorEmbeddingFeatureVectorizer (class in zensols.deepnlp.vectorize.embed) WordVectorEmbeddingLayer (class in zensols.deepnlp.layer.wordvec) WordVectorModel (class in zensols.deepnlp.embed.domain) write() (zensols.deepnlp.classify.domain.LabeledFeatureDocument method) (zensols.deepnlp.classify.domain.TokenContainerDataPoint method) (zensols.deepnlp.layer.conv.DeepConvolution1dNetworkSettings method) (zensols.deepnlp.model.sequence.SequenceAnnotation method) (zensols.deepnlp.model.sequence.SequenceDocumentAnnotation method) (zensols.deepnlp.transformer.domain.TokenizedDocument method) (zensols.deepnlp.transformer.domain.TokenizedFeatureDocument method) (zensols.deepnlp.transformer.mask.Prediction method) (zensols.deepnlp.transformer.vectorizers.TransformerNominalFeatureVectorizer method) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureDocument method) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureSpan method) (zensols.deepnlp.transformer.wordpiece.WordPieceFeatureToken method) (zensols.deepnlp.vectorize.spacy.SpacyFeatureVectorizer method) write_model_info() (zensols.deepnlp.cli.NLPClassifyPackedModelApplication method) write_predictions() (zensols.deepnlp.cli.NLPClassifyPackedModelApplication method)

Z

zensols.deepnlp module zensols.deepnlp.classify module zensols.deepnlp.classify.domain module zensols.deepnlp.classify.facade module zensols.deepnlp.classify.model module zensols.deepnlp.classify.pred module zensols.deepnlp.cli module zensols.deepnlp.embed module zensols.deepnlp.embed.doc module zensols.deepnlp.embed.domain module zensols.deepnlp.embed.fasttext module zensols.deepnlp.embed.glove module zensols.deepnlp.embed.word2vec module zensols.deepnlp.embed.wordtext module zensols.deepnlp.feature module zensols.deepnlp.index module zensols.deepnlp.index.domain module zensols.deepnlp.index.lda module zensols.deepnlp.index.lsi module zensols.deepnlp.layer module zensols.deepnlp.layer.conv module zensols.deepnlp.layer.embed module

zensols.deepnlp.layer.embrecurcrf module zensols.deepnlp.layer.wordvec module zensols.deepnlp.model module zensols.deepnlp.model.facade module zensols.deepnlp.model.sequence module zensols.deepnlp.transformer module zensols.deepnlp.transformer.domain module zensols.deepnlp.transformer.embed module zensols.deepnlp.transformer.layer module zensols.deepnlp.transformer.mask module zensols.deepnlp.transformer.optimizer module zensols.deepnlp.transformer.pred module zensols.deepnlp.transformer.resource module zensols.deepnlp.transformer.tokenizer module zensols.deepnlp.transformer.vectorizers module zensols.deepnlp.transformer.wordpiece module zensols.deepnlp.vectorize module zensols.deepnlp.vectorize.embed module zensols.deepnlp.vectorize.manager module zensols.deepnlp.vectorize.spacy module zensols.deepnlp.vectorize.vectorizers module ZERO (zensols.deepnlp.embed.domain.WordEmbedModel attribute)