Package: fastTextR 2.1.0.9000
fastTextR: An Interface to the 'fastText' Library
An interface to the 'fastText' library <https://github.com/facebookresearch/fastText>. The package can be used for text classification and to learn word vectors. An example how to use 'fastTextR' can be found in the 'README' file.
Authors:
fastTextR_2.1.0.9000.tar.gz
fastTextR_2.1.0.9000.zip(r-4.7)fastTextR_2.1.0.9000.zip(r-4.6)fastTextR_2.1.0.9000.zip(r-4.5)
fastTextR_2.1.0.9000.tgz(r-4.6-x86_64)fastTextR_2.1.0.9000.tgz(r-4.6-arm64)fastTextR_2.1.0.9000.tgz(r-4.5-x86_64)fastTextR_2.1.0.9000.tgz(r-4.5-arm64)
fastTextR_2.1.0.9000.tar.gz(r-4.7-arm64)fastTextR_2.1.0.9000.tar.gz(r-4.7-x86_64)fastTextR_2.1.0.9000.tar.gz(r-4.6-arm64)fastTextR_2.1.0.9000.tar.gz(r-4.6-x86_64)
fastTextR_2.1.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fastTextR/json (API)
| # Install 'fastTextR' in R: |
| install.packages('fastTextR', repos = c('https://emilhvitfeldt.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/emilhvitfeldt/fasttextr/issues
Last updated from:277d1aa231. Checks:6 WARNING, 7 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | WARNING | 172 | ||
| linux-devel-x86_64 | WARNING | 202 | ||
| source / vignettes | OK | 230 | ||
| linux-release-arm64 | WARNING | 167 | ||
| linux-release-x86_64 | WARNING | 196 | ||
| macos-release-arm64 | OK | 106 | ||
| macos-release-x86_64 | OK | 420 | ||
| macos-oldrel-arm64 | OK | 87 | ||
| macos-oldrel-x86_64 | OK | 338 | ||
| windows-devel | WARNING | 138 | ||
| windows-release | WARNING | 170 | ||
| windows-oldrel | OK | 144 | ||
| wasm-release | OK | 193 |
Exports:fasttextft_analogiesft_controlft_loadft_nearest_neighborsft_normalizeft_predictft_saveft_sentence_vectorsft_testft_trainft_word_vectorsft_words
Last update: 2023-12-05
Started: 2022-10-30
Last update: 2023-12-05
Started: 2022-10-30
Last update: 2022-10-30
Started: 2022-10-30
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Create a New 'FastText' Model | fasttext |
| Get Analogies | ft_analogies |
| Default Control Settings | ft_control |
| Load Model | ft_load |
| Get Nearest Neighbors | ft_nearest_neighbors |
| Normalize | ft_normalize |
| Write Model | ft_save |
| Get Sentence Vectors | ft_sentence_vectors |
| Evaluate the Model | ft_test |
| Train a Model | ft_train |
| Get Word Vectors | ft_word_vectors |
| Get Words | ft_words |
| Predict using a Previously Trained Model | ft_predict predict.supervised_model |
