fasttext.js | FastText for Node.js | Natural Language Processing library

by loretoparisi JavaScript Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | fasttext.js Summary

fasttext.js is a JavaScript library typically used in Artificial Intelligence, Natural Language Processing applications. fasttext.js has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i fasttext.js' or download it from GitHub, npm.

FastText is a library for efficient learning of word representations and sentence classification. FastText is provided by Facebook Inc. FastText.js is a JavaScript library that wraps FastText to run smoothly within node.

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fasttext.js has a low active ecosystem.

It has 129 star(s) with 19 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 18 have been closed. On average issues are closed in 198 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of fasttext.js is current.

Quality

fasttext.js has 0 bugs and 0 code smells.

Security

fasttext.js has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

fasttext.js code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

fasttext.js is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

fasttext.js releases are not available. You will need to build from source code and install.

Deployable package is available in npm.

Installation instructions, examples and code snippets are available.

fasttext.js saves you 49 person hours of effort in developing the same functionality from scratch.

It has 131 lines of code, 2 functions and 25 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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fasttext.js Key Features

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fasttext.js Examples and Code Snippets

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Community Discussions

Trending Discussions on fasttext.js

WASM and Node.js Cannot use 'import.meta' outside a module

Calculate Confusion Matrix of a FastText Classifier model

KeyError '-f' Python for LSTM model

QUESTION

WASM and Node.js Cannot use 'import.meta' outside a module

Asked 2021-Jan-14 at 11:17

I have built FastText C++ module as wasm module using the provided make file, that is using the following flags:

...

ANSWER

Answered 2021-Jan-12 at 15:52

Emscripten provide a USE_ES6_IMPORT_META flag! Maybe this can solve your problem. Take a look at https://github.com/emscripten-core/emscripten/blob/master/src/settings.js. There is a simple explanation about this flag.

UPDATE

Use USE_ES6_IMPORT_META=0

Source https://stackoverflow.com/questions/65666725

QUESTION

Calculate Confusion Matrix of a FastText Classifier model

Asked 2020-May-25 at 02:55

I'm calculating for a Facebook FastText classifier model the confusion matrix in this way:

...

ANSWER

Answered 2020-May-25 at 02:55

from sklearn.metrics import confusion_matrix

# predict the data
df["predicted"] = df["text"].apply(lambda x: model.predict(x)[0][0])

# Create the confusion matrix
confusion_matrix(df["labeled"], df["predicted"])


## OutPut:
# array([[5823,    8,  155,    1],
#        [ 199,   51,   22,    0],
#        [ 561,    2,  764,    0],
#        [  48,    0,    4,    4]], dtype=int64)

Source https://stackoverflow.com/questions/46978152

QUESTION

KeyError '-f' Python for LSTM model

Asked 2019-Oct-12 at 19:34

Function called from embedding_matrix. Can someone please explain why I am getting this error and how I could resolve it.

...

ANSWER

Answered 2019-Oct-12 at 19:34

The key to the dictionary wordVecSources can either be 'fasttext' or 'custom-fasttext' but the key it received was '-f'.

This means you're somehow assigning vectorSource the value '-f' when it should be 'none', 'fasttext' or 'custom-fasttext' instead to prevent the KeyError.

Check the shell command-line argument which pertains to vectorSource in your code. For e.g., in your_file.py say you have vectorSource = str(sys.argv[1]), then you should be running something like $python your_file.py fasttext instead of running $python your_file.py -f since here the first command-line argument (sys.argv[1]) assigns vectorSource its value at the runtime.

Source https://stackoverflow.com/questions/58357089

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install fasttext.js

FastText.js is available as a npm module here. To add the package to your project.
Build the docker image. This will update the latest FastText linux binaries from source to lib/bin/linux.

Support

In this release FastText.js comes with precompiled binaries for linux, macOS and Windows in the lib/bin/ folder. The Windows version is a 64-bit compiled version. It requires the Visual C++ Redistributable for Visual Studio 2015 components. See here for more info about the Windows version.

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