Metadata-Version: 2.1
Name: embeddix
Version: 1.6.3
Summary: A general purpose toolkit for word embeddings
Home-page: https://github.com/akb89/embeddix
Author:  Alexandre Kabbach
Author-email: akb@3azouz.net
License: MIT
Download-URL: https://github.com/akb89/embeddix
Description: # embeddix
        [![GitHub release][release-image]][release-url]
        [![PyPI release][pypi-image]][pypi-url]
        [![Build][build-image]][build-url]
        [![MIT License][license-image]][license-url]
        
        
        [release-image]:https://img.shields.io/github/release/akb89/embeddix.svg?style=flat-square
        [release-url]:https://github.com/akb89/embeddix/releases/latest
        [pypi-image]:https://img.shields.io/pypi/v/embeddix.svg?style=flat-square
        [pypi-url]:https://pypi.org/project/embeddix/
        [build-image]:https://img.shields.io/github/workflow/status/akb89/embeddix/CI?style=flat-square
        [build-url]:https://github.com/akb89/embeddix/actions?query=workflow%3ACI
        [license-image]:http://img.shields.io/badge/license-MIT-000000.svg?style=flat-square
        [license-url]:LICENSE.txt
        
        A small toolkit for processing word embeddings with numpy. You can use `embeddix` to convert .txt embeddings (such as glove files) to numpy and vice-versa.
        
        ## Install
        ```shell
        pip install embeddix
        ```
        
        or, after a git clone:
        ```shell
        python3 setup.py install
        ```
        
        ## Use
        
        ### Extract vocabulary from a txt embeddings file
        ```shell
        embeddix extract --embeddings /absolute/path/to/embeddings.txt
        ```
        
        ### Convert from txt to numpy
        ```shell
        embeddix convert --to numpy --embeddings /absolute/path/to/embeddings.txt
        ```
        
        ### Convert from numpy to txt
        ```shell
        embeddix convert --to txt --embeddings /absolute/path/to/embeddings.npy
        ```
        
        ### Evaluate DSM on intrinsic tasks
        Evaluate on lexical similarity (men, simlex, simverb) or concept categorization (essli, ap, battig)
        ```shell
        embeddix evaluate \
        --embeddings /absolute/path/to/embeddings.npy \
        --vocab /absolute/path/to/embeddings.vocab \
        --dataset instrinsic_task_dataset_name
        ```
        
Keywords: word embeddings,toolkit,conversion,nlp
Platform: any
Classifier: Development Status :: 5 - Production/Stable 
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
