lenskit.metrics.bulk.RunAnalysisResult
======================================

.. py:class:: lenskit.metrics.bulk.RunAnalysisResult(lmvs, gmvs, defaults)
   

   Results of a bulk metric computation.

   .. deprecated:: 2026.1

       This class is deprecated in favor of directly using
       :class:`~lenskit.metrics.MeasurementCollector`.

   :Stability: Caller


   .. py:method:: global_metrics()

      Get the global metric scores.  This is only the results of
      global metrics; it does not include aggregates of per-list metrics.  For
      aggregates of per-list metrics, call :meth:`list_summary`.



   .. py:method:: list_metrics(fill_missing=True)

      Get the per-list scores of the results.  This is a data frame with one
      row per list (with the list key on the index), and one metric per
      column.

      :param fill_missing: If ``True`` (the default), fills in missing values with each
                           metric's default value when available.  Pass ``False`` if you
                           want to do analyses that need to treat missing values
                           differently.



   .. py:method:: list_summary(*keys)

      Summary statistics for the per-list metrics.  Each metric is on its own
      row, with columns reporting the following:

      ``mean``:
          The mean metric value.
      ``median``:
          The median metric value.
      ``std``:
          The (sample) standard deviation of the metric.

      Additional columns are added based on other options.  Missing metric
      values are filled with their defaults before computing statistics.

      :param keys: Identifiers for different conditions that should be reported
                   separately (grouping keys for the final result).



   .. py:method:: merge_from(other)

      Merge another set of analysis results into this one.