Update sklearn-metadata.json

source/sklearn-metadata.json

@@ -1376,7 +1376,7 @@
       },
       {
         "default": null,
-        "description": "Strategy to evaluate the performance of the cross-validated model on\nthe test set.\n\nIf `scoring` represents a single score, one can use:\n\n- a single string (see :ref:`scoring_parameter`);\n- a callable (see :ref:`scoring`) that returns a single value.\n\nIf `scoring` represents multiple scores, one can use:\n\n- a list or tuple of unique strings;\n- a callable returning a dictionary where the keys are the metric\nnames and the values are the metric scores;\n- a dictionary with metric names as keys and callables a values.\n\nSee :ref:`multimetric_grid_search` for an example.\n",
+        "description": "Strategy to evaluate the performance of the cross-validated model on\nthe test set.\n\nIf `scoring` represents a single score, one can use:\n\n- a single string (see :ref:`scoring_parameter`);\n- a callable (see :ref:`scoring_callable`) that returns a single value.\n\nIf `scoring` represents multiple scores, one can use:\n\n- a list or tuple of unique strings;\n- a callable returning a dictionary where the keys are the metric\nnames and the values are the metric scores;\n- a dictionary with metric names as keys and callables as values.\n\nSee :ref:`multimetric_grid_search` for an example.\n",
         "name": "scoring"
       },
       {