:mod:`lookout.style.typos.metrics`
==================================

.. py:module:: lookout.style.typos.metrics







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






.. py:class:: ScoreMode

   Bases::class:`enum.Enum`

   

   Modes for calculation scores of typos correction.

   `ScoreMode.detection`: Typo is detected right: token is corrected when and only when                            it is not typo-ed.
   `ScoreMode.correction`: Correctly spelled tokens should not be corrected. Typo-ed tokens                             should contain the right correction among first k suggestions.
   `ScoreMode.on_corrected`: Same as `correction`, but only the tokens, corrected by                               the suggestions, are taken into account.


   

   

   .. attribute:: detection
      :annotation: = detection 

      



   

   

   .. attribute:: correction
      :annotation: = correction 

      



   

   

   .. attribute:: on_corrected
      :annotation: = on_corrected 

      



   









.. function:: get_scores(data:pandas.DataFrame, suggestions:Dict[int, List[Candidate]], mode:ScoreMode=ScoreMode.correction, k:int=1)

   
   Calculate the score of the solution of the specific typo correction problem.

   Token is considered corrected, when the first suggestion doesn't match the token.
   Supports three problems:
   `ScoreMode.detection`: Typo is detected right: token is corrected when and only when                            it is not typo-ed.
   `ScoreMode.correction`: Correctly spelled tokens should not be corrected. Typo-ed tokens                             should contain the right correction among first k suggestions.
   `ScoreMode.on_corrected`: Same as `correction`, but only the tokens, corrected by                               the suggestions, are taken into account.
   :param data: DataFrame which is indexed by Columns.Id and has columns Column.Token and                  Column.CorrectToken.
   :param suggestions: `{id : [(candidate, correct_prob)]}`, candidates are sorted                         by correct_prob in a descending order .
   :param mode: One of `ScoreMode.detection`, `ScoreMode.correction`, `ScoreMode.on_corrected`.
   :param k: Number of the first suggested corrections to check. Used in modes               `ScoreMode.correction`, `ScoreMode.on_corrected`.
   :return: Scores of the suggestions.

   









.. function:: generate_report(data:pandas.DataFrame, suggestions:Dict[int, List[Tuple[str, float]]])

   
   Print scores for suggestions in an easy readable way.