# 'fastText' Wrapper for Text Classification and Word Representation

## Documentation for package ‘fastrtext’ version 0.2.5

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

fastrtext-package | fastrtext: 'fastText' Wrapper for Text Classification and Word Representation
add_tags | Add tags to documents
execute | Execute command on 'fastText' model (including training)
fastrtext | fastrtext: 'fastText' Wrapper for Text Classification and Word Representation
get_analogies | Get analogy
get_dictionary | Get list of known words
get_hamming_loss | Hamming loss
get_labels | Get list of labels (supervised model)
get_nn | Get nearest neighbour vectors
get_parameters | Export hyper parameters
get_sentence_representation | Get sentence embedding
get_tokenized_text | Tokenize text
get_word_distance | Distance between two words
get_word_ids | Retrieve word IDs
get_word_vectors | Get word embeddings
load_model | Load an existing fastText trained model
predict.Rcpp_fastrtext | Get predictions (for supervised model)
print_help | Print help
Rcpp_fastrtext-class | Rcpp_fastrtext class
stop_words_sentences | Stop words list
test_sentences | Sentence corpus - test part
train_sentences | Sentence corpus - train part