Fix doctest

Author: holgern

doc/conf.py

@@ -289,7 +289,7 @@ def __init__(self, src_dir):
         self.regex = re.compile(r"^([\w ]+)\n-", re.MULTILINE)
 
     def __repr__(self):
-        return f'<{self.__class__.__name__}>'
+        return '<%s: %s>' % (self.__class__.__name__, self.src_dir)
 
     def __call__(self, directory):
         src_path = os.path.normpath(os.path.join(self.src_dir, directory))

doc/modules/benchmarks.rst

@@ -5,16 +5,17 @@
 .. _changes_0_10_1:
 
 Version 0.10.1
-=============
+==============
 **March 2024**
 
 - |Fix| Typo in skopt/space/space.py
 
 .. _changes_0_10:
 
 Version 0.10.0
-=============
+==============
 **March 2024**
+
 - |Feature| Add support for multimetric scoring to :obj:`skopt.searchcv.BayesSearchCV`.
 - |Feature| Evaluate random point instead of using point twice in :obj:`skopt.optimizer.Optimizer`.
 - |Feature| :obj:`skopt.callback.CheckpointSaver` can now recycle previous function evaluations
@@ -47,4 +48,3 @@ Version 0.10.0
   would change under the new scheme.
 - Minor documentation improvements.
 - Various small bugs and fixes.
-

doc/modules/learning.rst

@@ -87,13 +87,17 @@ class BayesSearchCV(BaseSearchCV):
         the test set. If ``None``, the ``score`` method of the estimator is
         used.
         If `scoring` represents a single score, one can use:
+
         - a single string (see :ref:`scoring_parameter`);
         - a callable (see :ref:`scoring`) that returns a single value.
+
         If `scoring` represents multiple scores, one can use:
+
         - a list or tuple of unique strings;
         - a callable returning a dictionary where the keys are the metric
           names and the values are the metric scores;
         - a dictionary with metric names as keys and callables a values.
+
         Callables must have the signature ``scorer(estimator, X, y=None)``
 
     fit_params : dict, optional