ontolearn.learning_problem
==========================

.. py:module:: ontolearn.learning_problem

.. autoapi-nested-parse::

   Learning problem in Ontolearn.



Attributes
----------

.. autoapisummary::

   ontolearn.learning_problem.logger


Classes
-------

.. autoapisummary::

   ontolearn.learning_problem.EncodedPosNegLPStandard
   ontolearn.learning_problem.PosNegLPStandard
   ontolearn.learning_problem.EncodedPosNegUndLP
   ontolearn.learning_problem.PosNegUndLP


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

.. py:data:: logger

.. py:class:: EncodedPosNegLPStandard(kb_pos, kb_neg, kb_diff, kb_all)

   Bases: :py:obj:`ontolearn.abstracts.EncodedPosNegLPStandardKind`


   Encoded learning problem standard.

   .. attribute:: kb_pos

      Positive examples.

      :type: set

   .. attribute:: kb_neg

      Negative examples.

      :type: set

   .. attribute:: kb_diff

      kb_all - (kb_pos + kb_neg).

      :type: set

   .. attribute:: kb_all

      All examples/ all individuals set.

      :type: set


   .. py:attribute:: __slots__
      :value: ('kb_pos', 'kb_neg', 'kb_diff', 'kb_all')



   .. py:attribute:: kb_pos
      :type:  set


   .. py:attribute:: kb_neg
      :type:  set


   .. py:attribute:: kb_diff
      :type:  set


   .. py:attribute:: kb_all
      :type:  set


.. py:class:: PosNegLPStandard(pos: Set[owlapy.owl_individual.OWLNamedIndividual], neg: Set[owlapy.owl_individual.OWLNamedIndividual], all_instances: Optional[Set[owlapy.owl_individual.OWLNamedIndividual]] = None)

   Bases: :py:obj:`ontolearn.abstracts.AbstractLearningProblem`


   Positive-Negative learning problem standard.
   .. attribute:: pos

      Positive examples.

   .. attribute:: neg

      Negative examples.

   .. attribute:: all

      All examples.


   .. py:attribute:: __slots__
      :value: ('pos', 'neg', 'all')



   .. py:attribute:: pos


   .. py:attribute:: neg


   .. py:method:: encode_kb(kb: ontolearn.abstracts.AbstractKnowledgeBase) -> EncodedPosNegLPStandard

      Provides the encoded learning problem (lp), i.e. the class containing the set of OWLNamedIndividuals
      as follows:
          kb_pos --> the positive examples set,
          kb_neg --> the negative examples set,
          kb_all --> all lp individuals / all individuals set,
          kb_diff --> kb_all - (kb_pos + kb_neg).
      :param kb: The knowledge base to encode the learning problem.
      :type kb: PosNegLPStandard

      :returns: The encoded learning problem.
      :rtype: EncodedPosNegLPStandard



.. py:class:: EncodedPosNegUndLP

   Bases: :py:obj:`ontolearn.abstracts.EncodedLearningProblem`


   To be implemented.


.. py:class:: PosNegUndLP(*args, **kwargs)

   Bases: :py:obj:`ontolearn.abstracts.AbstractLearningProblem`


   To be implemented.