Metadata-Version: 2.1
Name: hello-chp
Version: 0.0.25
Summary: A Python library for optimal data imputation.
Home-page: https://github.com/Quantmetry/qolmat
Download-URL: https://pypi.org/project/qolmat/#files
License: new BSD
Project-URL: Bug Tracker, https://github.com/Quantmetry/qolmat
Project-URL: Documentation, https://qolmat.readthedocs.io/en/latest/
Project-URL: Source Code, https://github.com/Quantmetry/qolmat
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.8
Description-Content-Type: text/x-rst
License-File: LICENSE
License-File: AUTHORS.rst
Requires-Dist: dcor (>=0.6)
Requires-Dist: hyperopt
Requires-Dist: numpy (>=1.19)
Requires-Dist: packaging
Requires-Dist: pandas (>=1.3)
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: statsmodels (>=0.14)
Provides-Extra: docs
Requires-Dist: numpydoc ; extra == 'docs'
Requires-Dist: sphinx ; extra == 'docs'
Requires-Dist: sphinx-gallery ; extra == 'docs'
Requires-Dist: sphinx-rtd-theme ; extra == 'docs'
Requires-Dist: typing-extensions ; extra == 'docs'
Provides-Extra: pytorch
Requires-Dist: torch (==2.0.1) ; extra == 'pytorch'
Provides-Extra: tests
Requires-Dist: flake8 ; extra == 'tests'
Requires-Dist: mypy ; extra == 'tests'
Requires-Dist: pandas ; extra == 'tests'
Requires-Dist: pytest ; extra == 'tests'
Requires-Dist: pytest-cov ; extra == 'tests'
Requires-Dist: typed-ast ; extra == 'tests'

.. -*- mode: rst -*-

.. image:: https://raw.githubusercontent.com/Quantmetry/qolmat/main/docs/images/logo.png
    :align: center

Qolmat -  The Tool for Data Imputation
======================================

**Qolmat** provides a convenient way to estimate optimal data imputation techniques by leveraging scikit-learn-compatible algorithms. Users can compare various methods based on different evaluation metrics.

🔗 Requirements
===============

Python 3.8+

🛠 Installation
===============

Qolmat can be installed in different ways:

.. code:: sh

    $ pip install qolmat  # installation via `pip`
    $ pip install qolmat[tensorflow] # if you need tensorflow
    $ pip install git+https://github.com/Quantmetry/qolmat  # or directly from the github repository
