master
Installation
Docker Images
QuickStart
Command line interface (CLI)
Python
Using GPU
Pretrained models
Docker images
Out-of-the-box pretrained models
Text Question Answering
Name Entity Recognition
Insult Detection
Paraphrase Detection
General concepts
Key Concepts
Configuration file
Nested configuration files
Variables
Training
Train config
Train Parameters
Metrics
DatasetReader
DataLearningIterator and DataFittingIterator
Inference
Model Configuration
Preprocessors
Tokenizers
Embedders
Vectorizers
Python pipelines
Models overview
Models
NER model
[docs]
Classification model
[docs]
Automatic spelling correction model
[docs]
Ranking model
[docs]
TF-IDF Ranker model
[docs]
Question Answering model
[docs]
ODQA
[docs]
AutoML
Hyperparameters optimization
[docs]
Embeddings
Pre-trained embeddings
[docs]
Examples of some models
Features
Pre-trained embeddings
BERT
License
Downloads
ELMo
Downloads
fastText
License
Downloads
Word vectors training parameters
AutoML
Cross-validation
Parameters
Special parameters in config
Results
Models
Multitask BERT
Train config
Context Question Answering
Table of contents
1. Introduction to the task
2. Get started with the model
3. Use the model for prediction
3.1 Predict using Python
3.2 Predict using CLI
4. Train the model on your data
4.1 Train your model from Python
Provide your data path
SQuAD dataset info
Train the model using new config
4.2 Train your model from CLI
5. Evaluate
5.1 Evaluate from Python
5.1 Evaluate from CLI
6. Models list
Classification
Table of contents
1. Introduction to the task
2. Get started with the model
3. Use the model for prediction
3.1 Predict using Python
3.2 Predict using CLI
4. Evaluation
4.1 Evaluate from Python
4.2 Evaluate from CLI
5. Train the model on your data
5.1 Train your model from Python
Provide your data path
Train dataset format
Train the model using new config
5.2 Train your model from CLI
6. Models list
7. Simple few-shot classifiers
7.1 Few-shot setting
7.2 Multiple languages support
7.3 Dataset and Scores
Named Entity Recognition
Table of contents
1. Introduction to the task
2. Get started with the model
3. Use the model for prediction
3.1 Predict using Python
3.2 Predict using CLI
4. Evaluate
4.1 Evaluate from Python
4.1 Evaluate from CLI
5. Train the model on your data
5.1 Train your model from Python
Provide your data path
Train dataset format
Train the model using new config
5.2 Train your model from CLI
6. Models list
7. NER-tags list
Entity Extraction
Use the model
Use the model
BERT-based models
BERT as Embedder
BERT for Classification
BERT for Named Entity Recognition (Sequence Tagging)
BERT for Context Question Answering (SQuAD)
Using custom BERT in DeepPavlov
Neural Ranking
Training and inference models on predifined datasets
BERT Ranking
Paraphrase identification
Paraphraser.ru dataset
Paraphrase identification
Spelling Correction
Quick start
levenshtein_corrector
Component config parameters:
brillmoore
Component config parameters:
Training configuration
Language model
Comparison
TF-IDF Ranking
Quick Start
Configuration
Running the Ranker
Training
Interacting
Available Data and Pretrained Models
enwiki.db
enwiki_tfidf_matrix.npz
ruwiki.db
ruwiki_tfidf_matrix.npz
Comparison
References
Popularity Ranking
Quick Start
Configuration
Running the Ranker
Interacting
Available Data and Pretrained Models
References
Knowledge Base Question answering
Overview
Built-In Models
How Do I: Using KBQA In CLI & Python
How Do I: Train KBQA Model
How Do I: Train Query Prediction Model
How Do I: Train Entity Detection Model
How Do I: Train Relation and Path Ranking Models
How Do I: Adding Templates For New SPARQL Queries
Advanced: Using Wiki Parser As Standalone Service For KBQA
Relation Extraction
English RE model
Russian RE model
RE Model Architecture
SuperGLUE Submission
Task definition
Train your model
Create your submission files
Scores
Open-Domain Question Answering
Task definition
Quick Start
Languages
Models
Running ODQA
Training
Interacting
Configuration
Comparison
References
Integrations
REST API
API routes
/model
/probe
/api
/docs
/metrics
Advanced configuration
Socket API
Advanced configuration
Socket client example (Python)
DeepPavlov Agent RabbitMQ integration
Command line interface
Python interface
Amazon AWS deployment
1. AWS EC2 machine launch
2. DeepPavlov ODQA deployment
3. Accessing your ODQA API
DeepPavlov settings
1. Settings files access and management
2. Dialog logging
3. Environment variables
Developer Guides
Contribution guide
Register your model
Internships
Internships
Package Reference
core
deeppavlov.core.commands
deeppavlov.core.common
deeppavlov.core.data
deeppavlov.core.models
deeppavlov.core.trainers
dataset_iterators
dataset_readers
metrics
models
deeppavlov.models.api_requester
deeppavlov.models.classifiers
deeppavlov.models.doc_retrieval
deeppavlov.models.embedders
deeppavlov.models.entity_extraction
deeppavlov.models.kbqa
deeppavlov.models.preprocessors
deeppavlov.models.relation_extraction
deeppavlov.models.sklearn
deeppavlov.models.spelling_correction
deeppavlov.models.tokenizers
deeppavlov.models.torch_bert
deeppavlov.models.vectorizers
vocabs
DeepPavlov
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__call__() (deeppavlov.core.common.chainer.Chainer method)
(deeppavlov.models.api_requester.api_requester.ApiRequester method)
(deeppavlov.models.api_requester.api_router.ApiRouter method)
(deeppavlov.models.classifiers.cos_sim_classifier.CosineSimilarityClassifier method)
(deeppavlov.models.classifiers.proba2labels.Proba2Labels method)
(deeppavlov.models.classifiers.torch_classification_model.TorchTextClassificationModel method)
(deeppavlov.models.doc_retrieval.logit_ranker.LogitRanker method)
(deeppavlov.models.doc_retrieval.pop_ranker.PopRanker method)
(deeppavlov.models.doc_retrieval.tfidf_ranker.TfidfRanker method)
(deeppavlov.models.embedders.fasttext_embedder.FasttextEmbedder method)
(deeppavlov.models.embedders.tfidf_weighted_embedder.TfidfWeightedEmbedder method)
(deeppavlov.models.embedders.transformers_embedder.TransformersBertEmbedder method)
(deeppavlov.models.entity_extraction.entity_detection_parser.EntityDetectionParser method)
(deeppavlov.models.entity_extraction.entity_linking.EntityLinker method)
(deeppavlov.models.entity_extraction.ner_chunker.NerChunker method)
(deeppavlov.models.kbqa.query_generator.QueryGenerator method)
(deeppavlov.models.kbqa.query_generator_base.QueryGeneratorBase method)
(deeppavlov.models.kbqa.rel_ranking_infer.RelRankerInfer method)
(deeppavlov.models.kbqa.template_matcher.TemplateMatcher method)
(deeppavlov.models.kbqa.tree_to_sparql.RuAdjToNoun method)
(deeppavlov.models.kbqa.tree_to_sparql.TreeToSparql method)
(deeppavlov.models.kbqa.type_define.AnswerTypesExtractor method)
(deeppavlov.models.kbqa.wiki_parser.WikiParser method)
(deeppavlov.models.preprocessors.dirty_comments_preprocessor.DirtyCommentsPreprocessor method)
(deeppavlov.models.preprocessors.odqa_preprocessors.DocumentChunker method)
(deeppavlov.models.preprocessors.odqa_preprocessors.StringMultiplier method)
(deeppavlov.models.preprocessors.str_token_reverser.StrTokenReverser method)
(deeppavlov.models.preprocessors.str_utf8_encoder.StrUTF8Encoder method)
(deeppavlov.models.preprocessors.torch_transformers_preprocessor.TorchBertRankerPreprocessor method)
(deeppavlov.models.preprocessors.torch_transformers_preprocessor.TorchTransformersNerPreprocessor method)
(deeppavlov.models.preprocessors.torch_transformers_preprocessor.TorchTransformersPreprocessor method)
(deeppavlov.models.relation_extraction.relation_extraction_bert.REBertModel method)
(deeppavlov.models.sklearn.sklearn_component.SklearnComponent method)
(deeppavlov.models.spelling_correction.brillmoore.ErrorModel method)
(deeppavlov.models.spelling_correction.electors.kenlm_elector.KenlmElector method)
(deeppavlov.models.spelling_correction.electors.top1_elector.TopOneElector method)
(deeppavlov.models.spelling_correction.levenshtein.LevenshteinSearcherComponent method)
(deeppavlov.models.tokenizers.nltk_moses_tokenizer.NLTKMosesTokenizer method)
(deeppavlov.models.tokenizers.nltk_tokenizer.NLTKTokenizer method)
(deeppavlov.models.tokenizers.spacy_tokenizer.StreamSpacyTokenizer method)
(deeppavlov.models.torch_bert.torch_bert_ranker.TorchBertRankerModel method)
(deeppavlov.models.torch_bert.torch_transformers_classifier.TorchTransformersClassifierModel method)
(deeppavlov.models.torch_bert.torch_transformers_sequence_tagger.TorchTransformersSequenceTagger method)
(deeppavlov.models.torch_bert.torch_transformers_squad.TorchTransformersSquad method)
(deeppavlov.models.vectorizers.hashing_tfidf_vectorizer.HashingTfIdfVectorizer method)
(deeppavlov.vocabs.wiki_sqlite.WikiSQLiteVocab method)
__init__() (deeppavlov.core.common.base.Element method)
(deeppavlov.core.common.base.Model method)
(deeppavlov.models.entity_extraction.entity_detection_parser.EntityDetectionParser method)
(deeppavlov.models.entity_extraction.entity_linking.EntityLinker method)
(deeppavlov.models.entity_extraction.ner_chunker.NerChunker method)
(deeppavlov.models.kbqa.query_generator.QueryGenerator method)
(deeppavlov.models.kbqa.query_generator_base.QueryGeneratorBase method)
(deeppavlov.models.kbqa.rel_ranking_infer.RelRankerInfer method)
(deeppavlov.models.kbqa.template_matcher.TemplateMatcher method)
(deeppavlov.models.kbqa.tree_to_sparql.RuAdjToNoun method)
(deeppavlov.models.kbqa.tree_to_sparql.TreeToSparql method)
(deeppavlov.models.kbqa.type_define.AnswerTypesExtractor method)
(deeppavlov.models.kbqa.wiki_parser.WikiParser method)
(deeppavlov.models.relation_extraction.relation_extraction_bert.REBertModel method)
__iter__() (deeppavlov.models.embedders.fasttext_embedder.FasttextEmbedder method)
A
active (deeppavlov.models.doc_retrieval.pop_ranker.PopRanker attribute)
(deeppavlov.models.doc_retrieval.tfidf_ranker.TfidfRanker attribute)
alphabet (deeppavlov.vocabs.typos.RussianWordsVocab attribute)
(deeppavlov.vocabs.typos.StaticDictionary attribute)
(deeppavlov.vocabs.typos.Wiki100KDictionary attribute)
alphas_only (deeppavlov.models.tokenizers.spacy_tokenizer.StreamSpacyTokenizer attribute)
AnswerTypesExtractor (class in deeppavlov.models.kbqa.type_define)
api_requesters (deeppavlov.models.api_requester.api_router.ApiRouter attribute)
ApiRequester (class in deeppavlov.models.api_requester.api_requester)
ApiRouter (class in deeppavlov.models.api_requester.api_router)
B
BasicClassificationDatasetIterator (class in deeppavlov.dataset_iterators.basic_classification_iterator)
BasicClassificationDatasetReader (class in deeppavlov.dataset_readers.basic_classification_reader)
batch_size (deeppavlov.dataset_iterators.sqlite_iterator.SQLiteDataIterator attribute)
(deeppavlov.models.doc_retrieval.logit_ranker.LogitRanker attribute)
(deeppavlov.models.tokenizers.spacy_tokenizer.StreamSpacyTokenizer attribute)
batched_call() (deeppavlov.core.common.chainer.Chainer method)
beam_size (deeppavlov.models.spelling_correction.electors.kenlm_elector.KenlmElector attribute)
build() (deeppavlov.dataset_readers.typos_reader.TyposCustom static method)
(deeppavlov.dataset_readers.typos_reader.TyposKartaslov static method)
(deeppavlov.dataset_readers.typos_reader.TyposWikipedia static method)
build_model() (in module deeppavlov.core.commands.infer)
C
candidates_count (deeppavlov.models.spelling_correction.brillmoore.ErrorModel attribute)
Chainer (class in deeppavlov.core.common.chainer)
clf (deeppavlov.models.doc_retrieval.pop_ranker.PopRanker attribute)
cls_from_str() (in module deeppavlov.core.common.registry)
cnn_model() (deeppavlov.models.classifiers.torch_classification_model.TorchTextClassificationModel method)
cols (deeppavlov.models.vectorizers.hashing_tfidf_vectorizer.HashingTfIdfVectorizer attribute)
Component (class in deeppavlov.core.models.component)
compose_input_data() (deeppavlov.models.sklearn.sklearn_component.SklearnComponent static method)
confidence_threshold (deeppavlov.models.classifiers.proba2labels.Proba2Labels attribute)
Conll2003DatasetReader (class in deeppavlov.dataset_readers.conll2003_reader)
connect (deeppavlov.dataset_iterators.sqlite_iterator.SQLiteDataIterator attribute)
CosineSimilarityClassifier (class in deeppavlov.models.classifiers.cos_sim_classifier)
costs (deeppavlov.models.spelling_correction.brillmoore.ErrorModel attribute)
counter_vocab (deeppavlov.models.embedders.tfidf_weighted_embedder.TfidfWeightedEmbedder attribute)
counter_vocab_path (deeppavlov.models.embedders.tfidf_weighted_embedder.TfidfWeightedEmbedder attribute)
criterion (deeppavlov.models.classifiers.torch_classification_model.TorchTextClassificationModel attribute)
D
data (deeppavlov.core.data.data_fitting_iterator.DataFittingIterator attribute)
(deeppavlov.dataset_iterators.basic_classification_iterator.BasicClassificationDatasetIterator attribute)
(deeppavlov.dataset_iterators.multitask_iterator.MultiTaskIterator attribute)
(deeppavlov.models.vectorizers.hashing_tfidf_vectorizer.HashingTfIdfVectorizer attribute)
DataFittingIterator (class in deeppavlov.core.data.data_fitting_iterator)
DataLearningIterator (class in deeppavlov.core.data.data_learning_iterator)
DatasetReader (class in deeppavlov.core.data.dataset_reader)
db_name (deeppavlov.dataset_iterators.sqlite_iterator.SQLiteDataIterator attribute)
debatchify (deeppavlov.models.api_requester.api_requester.ApiRequester attribute)
deeppavlov.core
module
deeppavlov.core.commands.infer
module
deeppavlov.core.commands.train
module
deeppavlov.core.common.metrics_registry
module
deeppavlov.core.common.params
module
deeppavlov.core.common.registry
module
deeppavlov.dataset_iterators.multitask_iterator
module
deeppavlov.dataset_iterators.typos_iterator
module
deeppavlov.dataset_readers.multitask_reader
module
deeppavlov.dataset_readers.typos_reader
module
deeppavlov.dataset_readers.ubuntu_v2_reader
module
deeppavlov.metrics
module
deeppavlov.models
module
deeppavlov.models.api_requester
module
deeppavlov.models.classifiers
module
deeppavlov.models.doc_retrieval
module
deeppavlov.models.kbqa
module
deeppavlov.models.sklearn
module
deeppavlov.models.torch_bert
module
deeppavlov.vocabs
module
deeppavlov.vocabs.typos
module
detokenizer (deeppavlov.models.tokenizers.nltk_moses_tokenizer.NLTKMosesTokenizer attribute)
dict_name (deeppavlov.vocabs.typos.RussianWordsVocab attribute)
(deeppavlov.vocabs.typos.StaticDictionary attribute)
(deeppavlov.vocabs.typos.Wiki100KDictionary attribute)
dictionary (deeppavlov.models.spelling_correction.brillmoore.ErrorModel attribute)
dim (deeppavlov.models.embedders.fasttext_embedder.FasttextEmbedder attribute)
(deeppavlov.models.embedders.tfidf_weighted_embedder.TfidfWeightedEmbedder attribute)
DirtyCommentsPreprocessor (class in deeppavlov.models.preprocessors.dirty_comments_preprocessor)
doc2index (deeppavlov.dataset_iterators.sqlite_iterator.SQLiteDataIterator attribute)
doc_ids (deeppavlov.core.data.data_fitting_iterator.DataFittingIterator attribute)
(deeppavlov.dataset_iterators.sqlite_iterator.SQLiteDataIterator attribute)
doc_index (deeppavlov.models.vectorizers.hashing_tfidf_vectorizer.HashingTfIdfVectorizer attribute)
DocumentChunker (class in deeppavlov.models.preprocessors.odqa_preprocessors)
E
Element (class in deeppavlov.core.common.base)
embedder (deeppavlov.models.embedders.tfidf_weighted_embedder.TfidfWeightedEmbedder attribute)
ensure_list_output (deeppavlov.models.sklearn.sklearn_component.SklearnComponent attribute)
EntityDetectionParser (class in deeppavlov.models.entity_extraction.entity_detection_parser)
EntityLinker (class in deeppavlov.models.entity_extraction.entity_linking)
epochs_done (deeppavlov.models.classifiers.torch_classification_model.TorchTextClassificationModel attribute)
error_probability (deeppavlov.models.spelling_correction.levenshtein.LevenshteinSearcherComponent attribute)
ErrorModel (class in deeppavlov.models.spelling_correction.brillmoore)
escape (deeppavlov.models.tokenizers.nltk_moses_tokenizer.NLTKMosesTokenizer attribute)
Estimator (class in deeppavlov.core.models.estimator)
evaluate() (deeppavlov.core.trainers.FitTrainer method)
(deeppavlov.core.trainers.NNTrainer method)
F
FaqDatasetReader (class in deeppavlov.dataset_readers.faq_reader)
FasttextEmbedder (class in deeppavlov.models.embedders.fasttext_embedder)
fit() (deeppavlov.models.classifiers.cos_sim_classifier.CosineSimilarityClassifier method)
(deeppavlov.models.sklearn.sklearn_component.SklearnComponent method)
(deeppavlov.models.spelling_correction.brillmoore.ErrorModel method)
(deeppavlov.models.vectorizers.hashing_tfidf_vectorizer.HashingTfIdfVectorizer method)
fit_chainer() (deeppavlov.core.trainers.FitTrainer method)
(deeppavlov.core.trainers.NNTrainer method)
FitTrainer (class in deeppavlov.core.trainers)
flatten_result (deeppavlov.models.preprocessors.odqa_preprocessors.DocumentChunker attribute)
fn_from_str() (in module deeppavlov.core.common.metrics_registry)
forward_map (deeppavlov.core.common.chainer.Chainer attribute)
from_params() (in module deeppavlov.core.common.params)
G
gen_batches() (deeppavlov.dataset_iterators.multitask_iterator.MultiTaskIterator method)
get_async_response() (deeppavlov.models.api_requester.api_requester.ApiRequester method)
get_chainer() (deeppavlov.core.trainers.FitTrainer method)
(deeppavlov.core.trainers.NNTrainer method)
get_class_attributes() (deeppavlov.models.sklearn.sklearn_component.SklearnComponent static method)
get_count_matrix() (deeppavlov.models.vectorizers.hashing_tfidf_vectorizer.HashingTfIdfVectorizer method)
get_counts() (deeppavlov.models.vectorizers.hashing_tfidf_vectorizer.HashingTfIdfVectorizer method)
get_function_params() (deeppavlov.models.sklearn.sklearn_component.SklearnComponent static method)
get_index2doc() (deeppavlov.models.vectorizers.hashing_tfidf_vectorizer.HashingTfIdfVectorizer method)
get_instances() (deeppavlov.dataset_iterators.multitask_iterator.MultiTaskIterator method)
get_iterator_from_config() (in module deeppavlov.core.commands.train)
get_metric_by_name() (in module deeppavlov.core.common.metrics_registry)
get_model() (in module deeppavlov.core.common.registry)
get_tfidf_matrix() (deeppavlov.models.vectorizers.hashing_tfidf_vectorizer.HashingTfIdfVectorizer static method)
H
hash_size (deeppavlov.models.vectorizers.hashing_tfidf_vectorizer.HashingTfIdfVectorizer attribute)
HashingTfIdfVectorizer (class in deeppavlov.models.vectorizers.hashing_tfidf_vectorizer)
I
idf_base_count (deeppavlov.models.embedders.tfidf_weighted_embedder.TfidfWeightedEmbedder attribute)
in_x (deeppavlov.core.common.chainer.Chainer attribute)
in_y (deeppavlov.core.common.chainer.Chainer attribute)
index2doc (deeppavlov.models.doc_retrieval.tfidf_ranker.TfidfRanker attribute)
infer_method (deeppavlov.models.sklearn.sklearn_component.SklearnComponent attribute)
init_from_scratch() (deeppavlov.models.sklearn.sklearn_component.SklearnComponent method)
interact_model() (in module deeppavlov.core.commands.infer)
iterator (deeppavlov.models.doc_retrieval.tfidf_ranker.TfidfRanker attribute)
J
join_docs (deeppavlov.vocabs.wiki_sqlite.WikiSQLiteVocab attribute)
K
keep_sentences (deeppavlov.models.preprocessors.odqa_preprocessors.DocumentChunker attribute)
KenlmElector (class in deeppavlov.models.spelling_correction.electors.kenlm_elector)
L
lemmas (deeppavlov.models.tokenizers.spacy_tokenizer.StreamSpacyTokenizer attribute)
LevenshteinSearcherComponent (class in deeppavlov.models.spelling_correction.levenshtein)
LineReader (class in deeppavlov.dataset_readers.line_reader)
list_models() (in module deeppavlov.core.common.registry)
lm (deeppavlov.models.spelling_correction.electors.kenlm_elector.KenlmElector attribute)
load() (deeppavlov.models.classifiers.cos_sim_classifier.CosineSimilarityClassifier method)
(deeppavlov.models.sklearn.sklearn_component.SklearnComponent method)
(deeppavlov.models.spelling_correction.brillmoore.ErrorModel method)
(deeppavlov.models.vectorizers.hashing_tfidf_vectorizer.HashingTfIdfVectorizer method)
load_path (deeppavlov.models.embedders.fasttext_embedder.FasttextEmbedder attribute)
(deeppavlov.models.sklearn.sklearn_component.SklearnComponent attribute)
log_base (deeppavlov.models.embedders.tfidf_weighted_embedder.TfidfWeightedEmbedder attribute)
LogitRanker (class in deeppavlov.models.doc_retrieval.logit_ranker)
lowercase (deeppavlov.models.tokenizers.spacy_tokenizer.StreamSpacyTokenizer attribute)
LRScheduledModel (class in deeppavlov.core.models.lr_scheduled_model)
M
main (deeppavlov.core.common.chainer.Chainer attribute)
Mask (class in deeppavlov.models.preprocessors.mask)
max_distance (deeppavlov.models.spelling_correction.levenshtein.LevenshteinSearcherComponent attribute)
max_proba (deeppavlov.models.classifiers.proba2labels.Proba2Labels attribute)
max_seq_length (deeppavlov.models.preprocessors.torch_transformers_preprocessor.TorchTransformersNerPreprocessor attribute)
(deeppavlov.models.preprocessors.torch_transformers_preprocessor.TorchTransformersPreprocessor attribute)
max_subword_length (deeppavlov.models.preprocessors.torch_transformers_preprocessor.TorchTransformersNerPreprocessor attribute)
mean (deeppavlov.models.embedders.tfidf_weighted_embedder.TfidfWeightedEmbedder attribute)
mean_pop (deeppavlov.models.doc_retrieval.pop_ranker.PopRanker attribute)
min_idf_weight (deeppavlov.models.embedders.tfidf_weighted_embedder.TfidfWeightedEmbedder attribute)
Model (class in deeppavlov.core.common.base)
model (deeppavlov.models.classifiers.torch_classification_model.TorchTextClassificationModel attribute)
(deeppavlov.models.embedders.fasttext_embedder.FasttextEmbedder attribute)
(deeppavlov.models.sklearn.sklearn_component.SklearnComponent attribute)
(deeppavlov.models.tokenizers.spacy_tokenizer.StreamSpacyTokenizer attribute)
model_class (deeppavlov.models.sklearn.sklearn_component.SklearnComponent attribute)
model_params (deeppavlov.models.sklearn.sklearn_component.SklearnComponent attribute)
module
deeppavlov.core
deeppavlov.core.commands.infer
deeppavlov.core.commands.train
deeppavlov.core.common.metrics_registry
deeppavlov.core.common.params
deeppavlov.core.common.registry
deeppavlov.dataset_iterators.multitask_iterator
deeppavlov.dataset_iterators.typos_iterator
deeppavlov.dataset_readers.multitask_reader
deeppavlov.dataset_readers.typos_reader
deeppavlov.dataset_readers.ubuntu_v2_reader
deeppavlov.metrics
deeppavlov.models
deeppavlov.models.api_requester
deeppavlov.models.classifiers
deeppavlov.models.doc_retrieval
deeppavlov.models.kbqa
deeppavlov.models.sklearn
deeppavlov.models.torch_bert
deeppavlov.vocabs
deeppavlov.vocabs.typos
MultiTaskIterator (class in deeppavlov.dataset_iterators.multitask_iterator)
MultiTaskReader (class in deeppavlov.dataset_readers.multitask_reader)
N
n_classes (deeppavlov.models.classifiers.torch_classification_model.TorchTextClassificationModel attribute)
n_workers (deeppavlov.models.api_requester.api_router.ApiRouter attribute)
NerChunker (class in deeppavlov.models.entity_extraction.ner_chunker)
ngram_range (deeppavlov.models.tokenizers.spacy_tokenizer.StreamSpacyTokenizer attribute)
NLTKMosesTokenizer (class in deeppavlov.models.tokenizers.nltk_moses_tokenizer)
NLTKTokenizer (class in deeppavlov.models.tokenizers.nltk_tokenizer)
NNModel (class in deeppavlov.core.models.nn_model)
NNTrainer (class in deeppavlov.core.trainers)
O
OneHotter (class in deeppavlov.models.preprocessors.one_hotter)
opt (deeppavlov.models.classifiers.torch_classification_model.TorchTextClassificationModel attribute)
optimizer (deeppavlov.models.classifiers.torch_classification_model.TorchTextClassificationModel attribute)
out_count (deeppavlov.models.api_requester.api_requester.ApiRequester attribute)
out_params (deeppavlov.core.common.chainer.Chainer attribute)
P
pad_zero (deeppavlov.models.embedders.fasttext_embedder.FasttextEmbedder attribute)
(deeppavlov.models.embedders.tfidf_weighted_embedder.TfidfWeightedEmbedder attribute)
paragraphs (deeppavlov.models.preprocessors.odqa_preprocessors.DocumentChunker attribute)
param_names (deeppavlov.models.api_requester.api_requester.ApiRequester attribute)
ParaphraserReader (class in deeppavlov.dataset_readers.paraphraser_reader)
partial_fit() (deeppavlov.models.vectorizers.hashing_tfidf_vectorizer.HashingTfIdfVectorizer method)
pipe (deeppavlov.core.common.chainer.Chainer attribute)
pipe_params (deeppavlov.models.sklearn.sklearn_component.SklearnComponent attribute)
pop_dict (deeppavlov.models.doc_retrieval.pop_ranker.PopRanker attribute)
PopRanker (class in deeppavlov.models.doc_retrieval.pop_ranker)
predict_on_stream() (in module deeppavlov.core.commands.infer)
Proba2Labels (class in deeppavlov.models.classifiers.proba2labels)
process_event() (deeppavlov.models.classifiers.torch_classification_model.TorchTextClassificationModel method)
Q
QueryGenerator (class in deeppavlov.models.kbqa.query_generator)
QueryGeneratorBase (class in deeppavlov.models.kbqa.query_generator_base)
question_sign_checker() (in module deeppavlov.models.entity_extraction.entity_detection_parser)
R
random (deeppavlov.core.data.data_fitting_iterator.DataFittingIterator attribute)
(deeppavlov.core.data.data_learning_iterator.DataLearningIterator attribute)
(deeppavlov.dataset_iterators.sqlite_iterator.SQLiteDataIterator attribute)
read() (deeppavlov.dataset_readers.basic_classification_reader.BasicClassificationDatasetReader method)
(deeppavlov.dataset_readers.faq_reader.FaqDatasetReader method)
(deeppavlov.dataset_readers.line_reader.LineReader method)
(deeppavlov.dataset_readers.multitask_reader.MultiTaskReader method)
(deeppavlov.dataset_readers.squad_dataset_reader.SquadDatasetReader method)
(deeppavlov.dataset_readers.typos_reader.TyposCustom class method)
(deeppavlov.dataset_readers.typos_reader.TyposKartaslov static method)
(deeppavlov.dataset_readers.ubuntu_v2_reader.UbuntuV2Reader method)
read_data_by_config() (in module deeppavlov.core.commands.train)
REBertModel (class in deeppavlov.models.relation_extraction.relation_extraction_bert)
register() (in module deeppavlov.core.common.registry)
register_metric() (in module deeppavlov.core.common.metrics_registry)
RelRankerInfer (class in deeppavlov.models.kbqa.rel_ranking_infer)
reset() (deeppavlov.models.vectorizers.hashing_tfidf_vectorizer.HashingTfIdfVectorizer method)
roc_auc_score() (in module deeppavlov.metrics.roc_auc_score)
round_f1() (in module deeppavlov.metrics.fmeasure)
round_f1_macro() (in module deeppavlov.metrics.fmeasure)
round_f1_weighted() (in module deeppavlov.metrics.fmeasure)
rows (deeppavlov.models.vectorizers.hashing_tfidf_vectorizer.HashingTfIdfVectorizer attribute)
RuAdjToNoun (class in deeppavlov.models.kbqa.tree_to_sparql)
RussianWordsVocab (class in deeppavlov.vocabs.typos)
S
Sanitizer (class in deeppavlov.models.preprocessors.sanitizer)
save() (deeppavlov.models.classifiers.cos_sim_classifier.CosineSimilarityClassifier method)
(deeppavlov.models.sklearn.sklearn_component.SklearnComponent method)
(deeppavlov.models.spelling_correction.brillmoore.ErrorModel method)
(deeppavlov.models.vectorizers.hashing_tfidf_vectorizer.HashingTfIdfVectorizer method)
save_path (deeppavlov.models.sklearn.sklearn_component.SklearnComponent attribute)
Serializable (class in deeppavlov.core.models.serializable)
sets_accuracy() (in module deeppavlov.metrics.accuracy)
short_name() (in module deeppavlov.core.common.registry)
shuffle (deeppavlov.core.data.data_fitting_iterator.DataFittingIterator attribute)
(deeppavlov.core.data.data_learning_iterator.DataLearningIterator attribute)
(deeppavlov.dataset_iterators.sqlite_iterator.SQLiteDataIterator attribute)
SiameseIterator (class in deeppavlov.dataset_iterators.siamese_iterator)
SimpleVocabulary (class in deeppavlov.core.data.simple_vocab)
SingleTaskBatchGenerator (class in deeppavlov.dataset_iterators.multitask_iterator)
sk_log_loss() (in module deeppavlov.metrics.log_loss)
SklearnComponent (class in deeppavlov.models.sklearn.sklearn_component)
split() (deeppavlov.dataset_iterators.typos_iterator.TyposDatasetIterator method)
SplitTokenizer (class in deeppavlov.models.tokenizers.split_tokenizer)
SQLiteDataIterator (class in deeppavlov.dataset_iterators.sqlite_iterator)
squad_model (deeppavlov.models.doc_retrieval.logit_ranker.LogitRanker attribute)
SquadDatasetReader (class in deeppavlov.dataset_readers.squad_dataset_reader)
SquadIterator (class in deeppavlov.dataset_iterators.squad_iterator)
StaticDictionary (class in deeppavlov.vocabs.typos)
stopwords (deeppavlov.models.tokenizers.spacy_tokenizer.StreamSpacyTokenizer attribute)
str_lower() (in module deeppavlov.models.preprocessors.str_lower)
StreamSpacyTokenizer (class in deeppavlov.models.tokenizers.spacy_tokenizer)
StringMultiplier (class in deeppavlov.models.preprocessors.odqa_preprocessors)
StrTokenReverser (class in deeppavlov.models.preprocessors.str_token_reverser)
StrUTF8Encoder (class in deeppavlov.models.preprocessors.str_utf8_encoder)
T
tags_vocab (deeppavlov.models.embedders.tfidf_weighted_embedder.TfidfWeightedEmbedder attribute)
TemplateMatcher (class in deeppavlov.models.kbqa.template_matcher)
term_freqs (deeppavlov.models.vectorizers.hashing_tfidf_vectorizer.HashingTfIdfVectorizer attribute)
test (deeppavlov.dataset_iterators.squad_iterator.SquadIterator attribute)
test() (deeppavlov.core.trainers.FitTrainer method)
(deeppavlov.core.trainers.NNTrainer method)
TfidfRanker (class in deeppavlov.models.doc_retrieval.tfidf_ranker)
TfidfWeightedEmbedder (class in deeppavlov.models.embedders.tfidf_weighted_embedder)
tok2emb (deeppavlov.models.embedders.fasttext_embedder.FasttextEmbedder attribute)
tokenizer (deeppavlov.models.embedders.tfidf_weighted_embedder.TfidfWeightedEmbedder attribute)
(deeppavlov.models.preprocessors.torch_transformers_preprocessor.TorchTransformersNerPreprocessor attribute)
(deeppavlov.models.preprocessors.torch_transformers_preprocessor.TorchTransformersPreprocessor attribute)
(deeppavlov.models.tokenizers.nltk_moses_tokenizer.NLTKMosesTokenizer attribute)
(deeppavlov.models.tokenizers.nltk_tokenizer.NLTKTokenizer attribute)
(deeppavlov.models.vectorizers.hashing_tfidf_vectorizer.HashingTfIdfVectorizer attribute)
tokens_limit (deeppavlov.models.preprocessors.odqa_preprocessors.DocumentChunker attribute)
top_n (deeppavlov.models.classifiers.proba2labels.Proba2Labels attribute)
(deeppavlov.models.doc_retrieval.logit_ranker.LogitRanker attribute)
(deeppavlov.models.doc_retrieval.pop_ranker.PopRanker attribute)
(deeppavlov.models.doc_retrieval.tfidf_ranker.TfidfRanker attribute)
TopOneElector (class in deeppavlov.models.spelling_correction.electors.top1_elector)
TorchBertRankerModel (class in deeppavlov.models.torch_bert.torch_bert_ranker)
TorchBertRankerPreprocessor (class in deeppavlov.models.preprocessors.torch_transformers_preprocessor)
TorchTextClassificationModel (class in deeppavlov.models.classifiers.torch_classification_model)
TorchTransformersClassifierModel (class in deeppavlov.models.torch_bert.torch_transformers_classifier)
TorchTransformersNerPreprocessor (class in deeppavlov.models.preprocessors.torch_transformers_preprocessor)
TorchTransformersPreprocessor (class in deeppavlov.models.preprocessors.torch_transformers_preprocessor)
TorchTransformersSequenceTagger (class in deeppavlov.models.torch_bert.torch_transformers_sequence_tagger)
TorchTransformersSquad (class in deeppavlov.models.torch_bert.torch_transformers_squad)
train (deeppavlov.dataset_iterators.squad_iterator.SquadIterator attribute)
train() (deeppavlov.core.trainers.FitTrainer method)
(deeppavlov.core.trainers.NNTrainer method)
train_evaluate_model_from_config() (in module deeppavlov.core.commands.train)
train_map (deeppavlov.core.common.chainer.Chainer attribute)
train_on_batch() (deeppavlov.models.classifiers.torch_classification_model.TorchTextClassificationModel method)
(deeppavlov.models.relation_extraction.relation_extraction_bert.REBertModel method)
(deeppavlov.models.torch_bert.torch_bert_ranker.TorchBertRankerModel method)
(deeppavlov.models.torch_bert.torch_transformers_classifier.TorchTransformersClassifierModel method)
(deeppavlov.models.torch_bert.torch_transformers_sequence_tagger.TorchTransformersSequenceTagger method)
(deeppavlov.models.torch_bert.torch_transformers_squad.TorchTransformersSquad method)
train_on_batches() (deeppavlov.core.trainers.NNTrainer method)
train_pipe (deeppavlov.core.common.chainer.Chainer attribute)
TransformersBertEmbedder (class in deeppavlov.models.embedders.transformers_embedder)
TreeToSparql (class in deeppavlov.models.kbqa.tree_to_sparql)
TyposCustom (class in deeppavlov.dataset_readers.typos_reader)
TyposDatasetIterator (class in deeppavlov.dataset_iterators.typos_iterator)
TyposKartaslov (class in deeppavlov.dataset_readers.typos_reader)
TyposWikipedia (class in deeppavlov.dataset_readers.typos_reader)
U
UbuntuV2Reader (class in deeppavlov.dataset_readers.ubuntu_v2_reader)
url (deeppavlov.models.api_requester.api_requester.ApiRequester attribute)
V
valid (deeppavlov.dataset_iterators.squad_iterator.SquadIterator attribute)
vectorizer (deeppavlov.models.doc_retrieval.tfidf_ranker.TfidfRanker attribute)
(deeppavlov.models.embedders.tfidf_weighted_embedder.TfidfWeightedEmbedder attribute)
vocab_penalty (deeppavlov.models.spelling_correction.levenshtein.LevenshteinSearcherComponent attribute)
W
Wiki100KDictionary (class in deeppavlov.vocabs.typos)
WikiParser (class in deeppavlov.models.kbqa.wiki_parser)
WikiSQLiteVocab (class in deeppavlov.vocabs.wiki_sqlite)
window (deeppavlov.models.spelling_correction.brillmoore.ErrorModel attribute)
words_set (deeppavlov.vocabs.typos.RussianWordsVocab attribute)
(deeppavlov.vocabs.typos.StaticDictionary attribute)
(deeppavlov.vocabs.typos.Wiki100KDictionary attribute)
words_trie (deeppavlov.vocabs.typos.RussianWordsVocab attribute)
(deeppavlov.vocabs.typos.StaticDictionary attribute)
(deeppavlov.vocabs.typos.Wiki100KDictionary attribute)
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