dataeval.metrics.bias.CoverageOutput
====================================

.. py:class:: dataeval.metrics.bias.CoverageOutput



   Output class for :func:`coverage` :term:`bias<Bias>` metric

   .. attribute:: indices

      Array of uncovered indices

      :type: NDArray[np.intp]

   .. attribute:: radii

      Array of critical value radii

      :type: NDArray[np.float64]

   .. attribute:: critical_value

      Radius for :term:`coverage<Coverage>`

      :type: float


   .. py:method:: plot(images, top_k = 6)

      Plot the top k images together for visualization

      :param images: Original images (not embeddings) in (N, C, H, W) or (N, H, W) format
      :type images: ArrayLike
      :param top_k: Number of images to plot (plotting assumes groups of 3)
      :type top_k: int, default 6

      :rtype: matplotlib.figure.Figure