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image:: https://raw.githubusercontent.com/SekouD/mlconjug/master/logo/logotype2%20mlconjug.png\n        :target: https://pypi.python.org/pypi/mlconjug\n        :alt: mlconjug PyPi Home Page\n\n========\nmlconjug\n========\n\n\n.. image:: https://img.shields.io/pypi/v/mlconjug.svg\n        :target: https://pypi.python.org/pypi/mlconjug\n        :alt: Pypi Python Package Index Status\n\n.. image:: https://img.shields.io/travis/SekouD/mlconjug.svg\n        :target: https://travis-ci.org/SekouD/mlconjug\n        :alt: Linux Continuous Integration Status\n\n.. image:: https://ci.appveyor.com/api/projects/status/6iatj101xxfehbo8/branch/master?svg=true\n        :target: https://ci.appveyor.com/project/SekouD/mlconjug\n        :alt: Windows Continuous Integration Status\n\n.. image:: https://readthedocs.org/projects/mlconjug/badge/?version=latest\n        :target: https://mlconjug.readthedocs.io/en/latest\n        :alt: Documentation Status\n\n.. image:: https://pyup.io/repos/github/SekouD/mlconjug/shield.svg\n        :target: https://pyup.io/repos/github/SekouD/mlconjug/\n        :alt: Depedencies Update Status\n\n.. image:: https://codecov.io/gh/SekouD/mlconjug/branch/master/graph/badge.svg\n        :target: https://codecov.io/gh/SekouD/mlconjug\n        :alt: Code Coverage Status\n\n.. image:: https://snyk.io/test/github/SekouD/mlconjug/badge.svg?targetFile=requirements.txt\n        :target: https://snyk.io/test/github/SekouD/mlconjug?targetFile=requirements.txt\n        :alt: Code Vulnerability Status\n\n\n| A Python library to conjugate verbs in French, English, Spanish, Italian, Portuguese and Romanian (more soon)\n    using Machine Learning techniques.\n| Any verb in one of the supported language can be conjugated, as the module contains a Machine Learning model of how the verbs behave.\n| Even completely new or made-up verbs can be successfully conjugated in this manner.\n| The supplied pre-trained models are composed of:\n\n- a binary feature extractor,\n- a feature selector using Linear Support Vector Classification,\n- a classifier using Stochastic Gradient Descent.\n\n| MLConjug uses scikit-learn to implement the Machine Learning algorithms.\n| Users of the library can use any compatible classifiers from scikit-learn to modify and retrain the models.\n\n| The training data for the french model is based on Verbiste https://perso.b2b2c.ca/~sarrazip/dev/verbiste.html .\n| The training data for English, Spanish, Italian, Portuguese and Romanian was generated using unsupervised learning techniques\n  using the French model as a model to query during the training.\n\n\n* Free software: MIT license\n* Documentation: https://mlconjug.readthedocs.io.\n\nSupported Languages\n-------------------\n\n- French\n- English\n- Spanish\n- Italian\n- Portuguese\n- Romanian\n\n\nFeatures\n--------\n\n- Easy to use API.\n- Includes pre-trained models with 99% + accuracy in predicting conjugation class of unknown verbs.\n- 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