pdstools.app.decision_analyzer.pages.11_Business_Lever_Analysis
===============================================================

.. py:module:: pdstools.app.decision_analyzer.pages.11_Business_Lever_Analysis


Attributes
----------

.. autoapisummary::

   pdstools.app.decision_analyzer.pages.11_Business_Lever_Analysis.slider_max
   pdstools.app.decision_analyzer.pages.11_Business_Lever_Analysis.slider_min
   pdstools.app.decision_analyzer.pages.11_Business_Lever_Analysis.value
   pdstools.app.decision_analyzer.pages.11_Business_Lever_Analysis.lever
   pdstools.app.decision_analyzer.pages.11_Business_Lever_Analysis.ranked_df
   pdstools.app.decision_analyzer.pages.11_Business_Lever_Analysis.rank_1_df
   pdstools.app.decision_analyzer.pages.11_Business_Lever_Analysis.parameters
   pdstools.app.decision_analyzer.pages.11_Business_Lever_Analysis.segmented_df
   pdstools.app.decision_analyzer.pages.11_Business_Lever_Analysis.segments
   pdstools.app.decision_analyzer.pages.11_Business_Lever_Analysis.win_count
   pdstools.app.decision_analyzer.pages.11_Business_Lever_Analysis.calculate_lever
   pdstools.app.decision_analyzer.pages.11_Business_Lever_Analysis.lever_for_desired_ratio


Module Contents
---------------

.. py:data:: slider_max

.. py:data:: slider_min
   :value: 0


.. py:data:: value
   :value: 1


.. py:data:: lever

.. py:data:: ranked_df

.. py:data:: rank_1_df

.. py:data:: parameters
   :value: ['FinalPropensity', 'Value', 'ContextWeight', 'Weight']


.. py:data:: segmented_df

.. py:data:: segments

.. py:data:: win_count

.. py:data:: calculate_lever

.. py:data:: lever_for_desired_ratio