lenskit.data.matrix.SparseRowType
=================================

.. py:class:: lenskit.data.matrix.SparseRowType(dimension, value_type = pa.float32(), large = False)
   

   Bases: :py:obj:`pyarrow.ExtensionType`


   Data type for sparse rows stored in Arrow.  Sparse rows are stored as lists
   of structs with ``index`` and ``column`` fields.

   .. stability:: internal


   .. py:attribute:: value_type
      :type:  pyarrow.DataType | None


   .. py:attribute:: index_type
      :type:  SparseIndexType


   .. py:method:: from_type(data_type, dimension = None)
      :classmethod:


      Create a sparse row type from an Arrow data type, handling legacy struct
      layouts without the extension types.

      :param data_type: The Arrow data type to interpret as a row type.
      :param dimension: The row dimension, if known from an external source.  If
                        provided and the data type also includes the dimensionality,
                        both dimensions must match.

      :raises TypeError: If the data type is not a valid sparse row type.
      :raises ValueError: If there is another error, such as mismatched dimensions.



   .. py:property:: dimension
      :type: int



   .. py:method:: __arrow_ext_serialize__()


   .. py:method:: __arrow_ext_deserialize__(storage_type, serialized)
      :classmethod:



   .. py:method:: __arrow_ext_class__()