Metadata-Version: 2.1
Name: entropix
Version: 1.1.3
Summary: Sampling SVD singular vectors for Distributional Semantics Models
Home-page: https://github.com/akb89/entropix
Author:  Alexandre Kabbach
Author-email: akb@3azouz.net
License: MIT
Download-URL: https://github.com/akb89/entropix
Description: # entropix
        [![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/entropix.svg?style=flat-square
        [release-url]:https://github.com/akb89/entropix/releases/latest
        [pypi-image]:https://img.shields.io/pypi/v/entropix.svg?style=flat-square
        [pypi-url]:https://pypi.org/project/entropix/
        [build-image]:https://img.shields.io/github/workflow/status/akb89/entropix/CI?style=flat-square
        [build-url]:https://github.com/akb89/entropix/actions?query=workflow%3ACI
        [license-image]:http://img.shields.io/badge/license-MIT-000000.svg?style=flat-square
        [license-url]:LICENSE.txt
        
        Generate count-based Distributional Semantic Models by sampling SVD singular vectors instead of using top components.
        
        ## Install
        ```shell
        pip install entropix
        ```
        
        or, after a git clone:
        ```shell
        python3 setup.py install
        ```
        
        ## Use
        
        ### Sequential mode
        ```shell
        entropix sample \
        --model /abs/path/to/dense/numpy/model.npy \
        --vocab /abs/path/to/corresponding/model.vocab \
        --dataset dataset_to_optimize_on \  # men, simlex or simverb
        --shuffle \
        --mode seq \
        --kfold-size .2 \  # size of kfold, between 0 and .5
        --metric pearson \  # spr(spearman), pearson, rmse or both (spr+rmse)
        --num-threads 5
        ```
        
        ### Limit mode
        ```shell
        entropix sample \
        --model /abs/path/to/dense/numpy/model.npy \
        --vocab /abs/path/to/corresponding/model.vocab \
        --dataset dataset_to_optimize_on \  # men, simlex or simverb
        --mode limit \
        --metric pearson \
        --limit 10  # number of dimensions to sample
        ```
        
Keywords: entropy,distributional semantics
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
