Metadata-Version: 2.1
Name: advanced-scorecard-builder
Version: 1.0.2
Summary: AMA Institute - Advanced Scorecard Builder Free version
Home-page: http://amainstitute.pl
Author: s.zajac
Author-email: s.zajac@amainstitute.pl
License: UNKNOWN
Project-URL: Source, https://amainstitute.pl/ama-advanced-scorecard-builder/#start
Project-URL: Documentation, https://amainstitute.pl/ama-advanced-scorecard-builder/
Keywords: AMA Institute,AMA,ASB,Scorecard,AMA Scorecard
Platform: Linux
Platform: Windows
Platform: Mac OS X
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Utilities
Requires-Dist: numpy (>=1.11.3)
Requires-Dist: pandas (>=0.19.2)
Requires-Dist: matplotlib (>=2.0.0)
Requires-Dist: regressors

Advanced Scorecard Builder
==========================

This package contains a ``AMA Intitute ASB Free Version`` 1.0 module.


Installation
--------------------------------

You can simply use pip to install, as the following:

.. code-block:: bash

   $ pip install Advanced-scorecard-builder

Examples
========
.. code:: python

    from sklearn import datasets
    X,y = datasets.make_classification(n_samples=10**5, n_features=25, random_state=123)
    print(X.shape)
    # Data Frame
    names = []
    for el in range(25):
        names.append("zm"+str(el+1))
    df = pd.DataFrame(X, columns=names)
    df['target'] = y
    # take asb object
    ama = asb(df,'target')
    # fit your model
    ama.fit()
    # get scorecard
    ama.get_scorecard()
    # get model informations
    ama.model_info_
    # and produce report file
    ama.html_report('raport.html')



How to Contribute
--------------------------------

Email me s.zajac@amainstitute.pl



