semvec/pypi-packages huggingface dataset:
shapleykano 1.0.0
Key Drivers Analysis with Shapley values allocation
License: MIT license
Requires Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*
Keywords: shapleykano

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ShapleyKano: a python library to identify customer priorities based on Shapley values and Kano model
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        :target: https://pypi.python.org/pypi/shapleykano

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.. image:: https://travis-ci.org/uyanik/shapleykano.svg?branch=master
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        :target: https://shapleykano.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status



Installation
------------
Use the following command to install the package:

.. code-block:: python

   pip install shapleykano


Usage
-----
Use the following command for a key dissatifaction drivers analysis (kda) :
Replace "kda" by "kea" in the analysis parameter for a key satifaction drivers analysis (kea)
.. code-block:: python 

    from shapleykano.kanomodel import KanoModel


Documentation
-------------
* Documentation: https://shapleykano.readthedocs.io.


Credits
-------

The shapleykano package is based on the methodology developped by `W. Michael Conklin, Ken Powaga and Stan Lipovetsky`_
Some parts of the code are based on functions implemented in the `Open Source Sage Mathematical Software`_


References
----------
* Conklin, Michael & Powaga, Ken & Lipovetsky, Stan. (2004). Customer satisfaction analysis: Identification of key drivers. European Journal of Operational Research. 154. 819-827. 10.1016/S0377-2217(02)00877-9. 

* Sage - Open Source Mathematical Software : `https://github.com/sagemath/sage`_

.. _`W. Michael Conklin, Ken Powaga and Stan Lipovetsky`: https://www.researchgate.net/publication/222399844_Customer_satisfaction_analysis_Identification_of_key_drivers

.. _`https://github.com/sagemath/sage`: https://github.com/sagemath/sage

.. _`Open Source Sage Mathematical Software`: https://github.com/sagemath/sage


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History
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0.1.0 (2019-10-25)
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* First release on PyPI.