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Useful stuffs for NLP experiments

Project description

LanguageFlow

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Data loaders and abstractions for text and NLP

Requirements

Install dependencies

$ pip install future, tox, joblib
$ pip install numpy scipy pandas scikit-learn==0.19.1
$ pip install python-crfsuite==0.9.5
$ pip install Cython
$ pip install -U fasttext --no-cache-dir --no-deps --force-reinstall
$ pip install xgboost

Installation

$ pip install languageflow

Components

  • Transformers: NumberRemover, CountVectorizer, TfidfVectorizer
  • Models: SGDClassifier, XGBoostClassifier, KimCNNClassifier, FastTextClassifier, CRF

History

1.1.7 (2018-04-12)

  • Automatic deploy with travis and pypi
  • Fix dependencies hell

1.1.6 (2017-12-26)

  • Add data module to handle data downloading and data preprocessing
  • Add many new models: SGDClassifier, XGBoostClassier, FastTextClassifier, CRF
  • Add new feature: LanguageBoard
  • Automatic continuous integration with travis-ci
  • Build docs with readthedocs.org

1.1.5 (2017-12-11)

  • Refactor project to integrate with underthesea experiment

0.1.0 (2017-09-18)

  • First release on PyPI.

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
languageflow-1.1.8-py2.py3-none-any.whl (417.1 kB) Copy SHA256 hash SHA256 Wheel py2.py3 Sep 12, 2018
languageflow-1.1.8.tar.gz (1.8 MB) Copy SHA256 hash SHA256 Source None Sep 12, 2018

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