{
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        "author": "Basil Komboz",
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        "description": ".. image:: https://travis-ci.org/bkomboz/pymltk.svg?branch=master\n    :target: https://travis-ci.org/bkomboz/pymltk\n    :alt: TravisCI Status\n.. image:: https://coveralls.io/repos/github/bkomboz/pymltk/badge.svg?branch=master\n    :target: https://coveralls.io/github/bkomboz/pymltk?branch=master\n    :alt: Code Coverage Status\n.. image:: https://requires.io/github/bkomboz/pymltk/requirements.svg?branch=master\n    :target: https://requires.io/github/bkomboz/pymltk/requirements/?branch=master\n    :alt: Requirements Status\n.. image:: https://readthedocs.org/projects/pymltk/badge/?version=latest\n    :target: http://pymltk.readthedocs.io/en/latest/?badge=latest\n    :alt: Documentation Status\n\n======\npymltk\n======\n\nPython Machine Learning Toolkit\n\n\nDescription\n===========\n\n*pymltk* is a Python package helping data scientists with\ntheir daily work of (pre)processing data and building predictive\nor other machine learning models. It *offers various Python\nfunctions which implement common operations done by data\nscientists during their daily work*.\n\nAll functions of this package ...\n\n* ... do one thing and (try to) do it well.\n* ... operate on pandas as well as dask dataframes.\n* ... are fully tested and documented.\n* ... offer a clean and consistent UI.\n\nThis package was inspired by `mlr <https://github.com/mlr-org/mlr>`_,\na R package which offers similar functionality with respect to data\n(pre)processing (but in addition offers *a lot* more).\n\n\nFunction Overview\n=================\n\n* *parse_columns*: Parsing features with a specified dtype.\n* *parse_missings*: Parsing specified values as missing values.\n* *merge_levels*: Merging levels/values of a feature depending on several criteria.\n* *impute_missings*: Imputing missing values based on several strategies.\n* *remove_constants*: Removing features with no/low variability.\n\n\nInstallation\n============\n\nCurrently only the development version in this repository is available. In the future,\na stable release on pypi is planned.\n\n\nDocumentation\n=============\n\nA detailed documentation of each function provided by *pymltk* is\navailable on `readthedocs.org <http://pymltk.readthedocs.io/en/latest/?>`_.\n\n\nContribution\n============\n\nFeature requests and bug reports are very welcome. Please open an issue\nin the github issue tracker of the respository of this project. Pull requests\nimplementing new functionality are, of course, also welcome. Please open\nin addition also an issue for those.\n\n\nLicense\n=======\n\n*pymltk* is licensed under the Apache License Version 2.0.\nFor details please see the file called LICENSE.\n\n\nNote\n====\n\nThis project has been set up using PyScaffold 2.5.6. For details and usage\ninformation on PyScaffold see http://pyscaffold.readthedocs.org/.",
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