lenskit.data.types
==================

.. py:module:: lenskit.data.types

.. autoapi-nested-parse::

   Basic data types used in data representations.



Attributes
----------

.. autoapisummary::

   lenskit.data.types.FeedbackType
   lenskit.data.types.NPID
   lenskit.data.types.ID
   lenskit.data.types.IDArray
   lenskit.data.types.IDSequence
   lenskit.data.types.NPMatrix
   lenskit.data.types.NPVector
   lenskit.data.types.DF_FORMAT
   lenskit.data.types.MAT_FORMAT
   lenskit.data.types.LAYOUT


Classes
-------

.. toctree::
   :hidden:

   /api/lenskit/data/types/AliasedColumn
   /api/lenskit/data/types/UIPair
   /api/lenskit/data/types/Extent

.. autoapisummary::

   lenskit.data.types.AliasedColumn
   lenskit.data.types.UIPair
   lenskit.data.types.Extent



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

.. py:type:: FeedbackType
   :canonical: Literal['explicit', 'implicit']


   Types of feedback supported.

.. py:type:: NPID
   :canonical: np.integer[Any] | np.str_ | np.bytes_ | np.object_


   NumPy entity identifier types.

.. py:type:: ID
   :canonical: CoreID | NPID


   Allowable identifier types.

.. py:type:: IDArray
   :canonical: np.ndarray[tuple[int], np.dtype[NPID]]


   NumPy arrays of identifiers.

.. py:type:: IDSequence
   :canonical: '\n    Sequence[ID]\n    | IDArray\n    | pa.StringArray\n    | pa.IntegerArray[Any]\n    | pa.ChunkedArray[Any]\n    | pd.Series[CoreID]\n    '


   Sequences of identifiers.

.. py:type:: NPMatrix
   :canonical: np.ndarray[tuple[int, int], np.dtype[V]]


.. py:type:: NPVector
   :canonical: np.ndarray[tuple[int], np.dtype[V]]


.. py:type:: DF_FORMAT
   :canonical: Literal['numpy', 'pandas', 'torch']


.. py:type:: MAT_FORMAT
   :canonical: Literal['scipy', 'torch', 'pandas', 'structure']


.. py:type:: LAYOUT
   :canonical: Literal['csr', 'coo']