sainsc.LazyKDE.assignment_score
===============================

.. py:property:: sainsc.LazyKDE.assignment_score
   :type: numpy.ndarray[tuple[int, int], numpy.dtype[numpy.float32]] | None


   Assignment score for each pixel.

   Let `x` be the gene expression of a pixel, and `i` and `j` the signatures of the
   best and 2nd best scoring cell type, respectively. The assignment score is
   calculated as :math:`\frac{cos(\theta_{xi}) - cos(\theta_{xj})}{cos(\pi/2 - \theta_{ij})}`
   where :math:`\theta` is the angle between the corresponding vectors.

   :type: numpy.ndarray[tuple[int, int], numpy.single]