pyfasttext | Yet another Python binding for fastText | Natural Language Processing library

by vrasneur Python Version: 0.4.6 License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | pyfasttext Summary

pyfasttext is a Python library typically used in Artificial Intelligence, Natural Language Processing, Numpy applications. pyfasttext has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install pyfasttext' or download it from GitHub, PyPI.

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Support

pyfasttext has a low active ecosystem.

It has 229 star(s) with 30 fork(s). There are 9 watchers for this library.

It had no major release in the last 12 months.

There are 21 open issues and 28 have been closed. On average issues are closed in 30 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyfasttext is 0.4.6

Quality

pyfasttext has 0 bugs and 2 code smells.

Security

pyfasttext has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pyfasttext code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyfasttext is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

pyfasttext releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

pyfasttext saves you 42 person hours of effort in developing the same functionality from scratch.

It has 111 lines of code, 5 functions and 3 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed pyfasttext and discovered the below as its top functions. This is intended to give you an instant insight into pyfasttext implemented functionality, and help decide if they suit your requirements.

Train the model .
Print subwords of a model .
Generate keyword arguments for fast text .
Convert value to bool
Finalize options .
Build extension extensions
Return the SHA1 hash of the fasttext .
Train the model .

Get all kandi verified functions for this library.

pyfasttext Key Features

No Key Features are available at this moment for pyfasttext.

pyfasttext Examples and Code Snippets

No Code Snippets are available at this moment for pyfasttext.

Community Discussions

Trending Discussions on pyfasttext

Installing pyfasttext on windows

Fasttext - Color Name Classification - Getting '' as model.words

issue while converting my program as pip module

Installing chained dependency with pip and requirements.txt?

Is there method .predict in official python bindings for fastText

QUESTION

Installing pyfasttext on windows

Asked 2020-May-05 at 16:49

I tried to install pyfasttext on windows 10 under python 3.6 as explained here. I have g++ from mingw, clang LLVM 7.0.1 and put both of them on environment variable. I set USE_CYSIGNALS=0 because I'm on windows. But when I run the command:

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ANSWER

Answered 2019-Mar-06 at 08:52

Sorry, I didn't read very well docs from github that says:

Source https://stackoverflow.com/questions/55004059

QUESTION

Fasttext - Color Name Classification - Getting '' as model.words

Asked 2019-Nov-14 at 01:29

I am currently working on a translation layer to translate numerous unique color names into a common color name. Example being METALLIC RED would be RED and NAVY BLUE would be BLUE. I have a list of colors from a source I'm trying to translate and a base set of color names I would like them identified as. Currently fasttext when a build a model, supervised or unsupervised I'm getting the model.words as [''] no matter if I label the lines or not. I've tried to remove all special characters, etc in the words. I'm using the fasttext library and

I've tried to converting my dataset to include labels from my dataframe:

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ANSWER

Answered 2019-Nov-13 at 08:14

It seems that you aren't properly using fasttext.

a. First of all, my advice is to use official fasttext python binding (pyfasttext is no longer mantained).

b. For your purpose, I think that you have to provide a training corpus, made in the following way...

__label__basecolor your_color_expression

(example: __label__red metallic red)

...then train a supervised model (following this tutorial). So the classificator (the model) will learn relations between complex color names and base colors.

c. If your training dataset is small, you can start from FastText pretrained vectors, making the classificator start with some preexisting knowledge.

So, you can follow these steps:

c.1. Download pretrained vectors (.vec) from fasttext.cc/docs/en/crawl-vectors.html;

c.2. Train your model using: ./fasttext supervised -input base_colors.txt -output model -pretrainedVectors cc.en.300.vec -dim 300.

c.3. Now your model is much better!

Source https://stackoverflow.com/questions/58574012

QUESTION

issue while converting my program as pip module

Asked 2019-Nov-07 at 14:23

I have created a project in the following is the order of files in folders.

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ANSWER

Answered 2019-Nov-07 at 14:23

It might be that the packaging of the project has some issues regarding the data files, and that these data files (config.json in that particular case) are not correctly installed alongside the Python code.

Probably the project needs the following line in the MANIFEST.in file:

Source https://stackoverflow.com/questions/58744314

QUESTION

Installing chained dependency with pip and requirements.txt?

Asked 2018-Aug-02 at 17:10

I am trying to use a requirements.txt file to install a couple of libraries using pip. My problem is that one library (pyfasttext) requires another (Cython) to be installed first. If I have both in the same requirements file, the installation of pyfasttext fails with ImportError: No module named 'Cython'.

Is it possible to specify this in one file or do I need to use two different requirements files and run those after another?

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ANSWER

Answered 2018-Aug-02 at 17:10

The problem is not that pyfasttext requires Cython but that its setup.py imports Cython before installing it. You have to install Cython first yourself.

Source https://stackoverflow.com/questions/51657865

QUESTION

Is there method .predict in official python bindings for fastText

Asked 2018-Mar-14 at 05:09

I know there are unofficial bindings with .predict method in python(fasttext, pyfasttext) but they do not work with recent models trained on on official FastText bash tool or do not have all the options. Official python bindings have only load_model(path)and tokenize(text) methods described , which sounds strange as with this you can not do any predictions. Am I missing something here?

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ANSWER

Answered 2018-Mar-14 at 05:09

I use the Python package built and installed according to this link https://github.com/facebookresearch/fastText/blob/master/README.md#building-fasttext-for-python. I consider it official. The model object loaded via load_model has the requested predict method.

Source https://stackoverflow.com/questions/49266209

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

Vulnerabilities

No vulnerabilities reported

Install pyfasttext

To compile pyfasttext, make sure you have the following compiler: * GCC (`g`) with C11 support. * LLVM (`clang`) with (at least) partial C17 support.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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