ontolearn.value_splitter
========================

.. py:module:: ontolearn.value_splitter

.. autoapi-nested-parse::

   Value splitters.



Attributes
----------

.. autoapisummary::

   ontolearn.value_splitter.Values


Classes
-------

.. autoapisummary::

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


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

.. 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.abstracts.AbstractOWLReasoner, 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.abstracts.AbstractOWLReasoner, 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)


   .. py:method:: __lt__(other)


.. 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.abstracts.AbstractOWLReasoner, 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()