Table of Contents - torchtext-0.1.1 Documentation
Classes and Modules
- TorchText
- TorchText::Data
- TorchText::Data::Metrics
- TorchText::Data::Utils
- TorchText::Datasets
- TorchText::Datasets::AG_NEWS
- TorchText::Datasets::TextClassification
- TorchText::Datasets::TextClassificationDataset
- TorchText::Error
- TorchText::NN
- TorchText::NN::InProjContainer
- TorchText::NN::MultiheadAttentionContainer
- TorchText::NN::ScaledDotProduct
- TorchText::Vocab
Methods
- ::_create_data_from_iterator — TorchText::Datasets::TextClassification
- ::_csv_iterator — TorchText::Datasets::TextClassification
- ::ag_news — TorchText::Datasets::TextClassification
- ::bleu_score — TorchText::Data::Metrics
- ::build_vocab_from_iterator — TorchText::Vocab
- ::compute_ngram_counter — TorchText::Data::Metrics
- ::download_from_url — TorchText::Datasets::TextClassification
- ::download_url_to_file — TorchText::Datasets::TextClassification
- ::extract_archive — TorchText::Datasets::TextClassification
- ::load — TorchText::Datasets::AG_NEWS
- ::new — TorchText::Datasets::TextClassificationDataset
- ::new — TorchText::NN::InProjContainer
- ::new — TorchText::NN::MultiheadAttentionContainer
- ::new — TorchText::NN::ScaledDotProduct
- ::new — TorchText::Vocab
- ::setup_datasets — TorchText::Datasets::TextClassification
- #[] — TorchText::Datasets::TextClassificationDataset
- #[] — TorchText::Vocab
- #basic_english_normalize — TorchText::Data::Utils
- #each — TorchText::Datasets::TextClassificationDataset
- #forward — TorchText::NN::InProjContainer
- #forward — TorchText::NN::MultiheadAttentionContainer
- #forward — TorchText::NN::ScaledDotProduct
- #length — TorchText::Datasets::TextClassificationDataset
- #length — TorchText::Vocab
- #ngrams_iterator — TorchText::Data::Utils
- #size — TorchText::Datasets::TextClassificationDataset
- #size — TorchText::Vocab
- #split_tokenizer — TorchText::Data::Utils
- #tokenizer — TorchText::Data::Utils