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