:py:mod:`ontolearn.value_splitter`
==================================

.. py:module:: ontolearn.value_splitter

.. autoapi-nested-parse::

   Value splitters.



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

Classes
~~~~~~~

.. autoapisummary::

   ontolearn.value_splitter.AbstractValueSplitter
   ontolearn.value_splitter.BinningValueSplitter
   ontolearn.value_splitter.Split
   ontolearn.value_splitter.IndividualValues
   ontolearn.value_splitter.EntropyValueSplitter




Attributes
~~~~~~~~~~

.. autoapisummary::

   ontolearn.value_splitter.Values


.. py:data:: Values

   

.. py:class:: AbstractValueSplitter(max_nr_splits: int)


   Abstract base class for split calculation of data properties.

   .. py:attribute:: __slots__
      :value: 'max_nr_splits'

      

   .. py:attribute:: max_nr_splits
      :type: int

      

   .. py:method:: compute_splits_properties(reasoner: owlapy.owl_reasoner.OWLReasoner, properties: List[owlapy.owl_property.OWLDataProperty]) -> Dict[owlapy.owl_property.OWLDataProperty, List[owlapy.owl_literal.OWLLiteral]]
      :abstractmethod:


   .. py:method:: reset()



.. py:class:: BinningValueSplitter(max_nr_splits: int = 12)


   Bases: :py:obj:`AbstractValueSplitter`

   Calculate a number of bins of equal size as splits.

   .. py:attribute:: __slots__
      :value: ()

      

   .. py:method:: compute_splits_properties(reasoner: owlapy.owl_reasoner.OWLReasoner, properties: List[owlapy.owl_property.OWLDataProperty]) -> Dict[owlapy.owl_property.OWLDataProperty, List[owlapy.owl_literal.OWLLiteral]]



.. py:class:: Split


   .. py:attribute:: pos
      :type: List[str]

      

   .. py:attribute:: neg
      :type: List[str]

      

   .. py:attribute:: entropy
      :type: float

      

   .. py:attribute:: used_properties
      :type: Set[str]

      

   .. py:method:: __eq__(other)

      Return self==value.


   .. py:method:: __lt__(other)

      Return self<value.



.. py:class:: IndividualValues


   .. py:attribute:: pos_map
      :type: Dict[str, Values]

      

   .. py:attribute:: neg_map
      :type: Dict[str, Values]

      

   .. py:method:: get_pos_values() -> List[Values]


   .. py:method:: get_neg_values() -> List[Values]


   .. py:method:: get_overlapping_with_split(split: Split) -> IndividualValues



.. py:class:: EntropyValueSplitter(max_nr_splits: int = 2)


   Bases: :py:obj:`AbstractValueSplitter`

   Calculate the splits depending on the entropy of the resulting sets.

   .. py:attribute:: __slots__
      :value: '_prop_to_values'

      

   .. py:method:: compute_splits_properties(reasoner: owlapy.owl_reasoner.OWLReasoner, properties: List[owlapy.owl_property.OWLDataProperty], pos: Set[owlapy.owl_individual.OWLNamedIndividual] = None, neg: Set[owlapy.owl_individual.OWLNamedIndividual] = None) -> Dict[owlapy.owl_property.OWLDataProperty, List[owlapy.owl_literal.OWLLiteral]]


   .. py:method:: reset()