nucleus.evaluation_v2_preset
============================

.. py:module:: nucleus.evaluation_v2_preset

.. autoapi-nested-parse::

   Evaluation V2 presets — saved, reusable evaluation configurations.

   A preset bundles a ``name`` with a label configuration (``rollup_groups``,
   or legacy ``allowed_label_matches``) and ``exclusion_rules`` so the same
   configuration can be applied across many evaluations. Presets are private to
   the creating user.

   Create and manage presets via :class:`~nucleus.NucleusClient`::

       preset = client.create_evaluation_v2_preset(
           "vehicles",
           rollup_groups=[RollupGroup("vehicle", ["car", "truck"])],
           exclusion_rules=[LabelExclusionRule(scope="item", target="prediction", labels=["ignore"])],
       )
       client.create_benchmark_evaluation_v2(benchmark_id, model_run_id, preset=preset)






.. autoapisummary::
   nucleus.evaluation_v2_preset.EvaluationV2Preset


.. py:class:: EvaluationV2Preset


   A saved Evaluation V2 configuration owned by the current user.



   .. py:method:: delete()

      Delete this preset.


   .. py:method:: update(*, name = _UNSET, rollup_groups = _UNSET, allowed_label_matches = _UNSET, exclusion_rules = _UNSET)

      Update this preset in place.

      Only the arguments you pass are changed. Passing
      ``rollup_groups=None`` / ``exclusion_rules=None`` clears that field;
      omitting an argument leaves it unchanged.

      :returns: self, with updated fields.