DOC relabel Feature -> Efficiency in change log
@@ -416,12 +416,6 @@ Changelog
:mod:`sklearn.gaussian_process`
...............................
-- |Feature| :func:`gaussian_process.GaussianProcessClassifier.log_marginal_likelihood`
- and :func:`gaussian_process.GaussianProcessRegressor.log_marginal_likelihood` now
- accept a ``clone_kernel=True`` keyword argument. When set to ``False``,
- the kernel attribute is modified, but may result in a performance improvement.
- :pr:`14378` by :user:`Masashi Shibata <c-bata>`.
-
- |Feature| Gaussian process models on structured data: :class:`gaussian_process.GaussianProcessRegressor`
and :class:`gaussian_process.GaussianProcessClassifier` can now accept a list
of generic objects (e.g. strings, trees, graphs, etc.) as the ``X`` argument
@@ -431,6 +425,12 @@ Changelog
to notify the GPR/GPC model that it handles non-vectorial samples.
:pr:`15557` by :user:`Yu-Hang Tang <yhtang>`.
+- |Efficiency| :func:`gaussian_process.GaussianProcessClassifier.log_marginal_likelihood`
+ and :func:`gaussian_process.GaussianProcessRegressor.log_marginal_likelihood` now
+ accept a ``clone_kernel=True`` keyword argument. When set to ``False``,
+ the kernel attribute is modified, but may result in a performance improvement.
+ :pr:`14378` by :user:`Masashi Shibata <c-bata>`.
+
- |API| From version 0.24 :meth:`gaussian_process.kernels.Kernel.get_params` will raise an
``AttributeError`` rather than return ``None`` for parameters that are in the
estimator's constructor but not stored as attributes on the instance.
