:mod:`sklearn.datasets`

- |Enhancement| :func:`datasets.make_swiss_roll` now supports the optional argument

hole; when set to True, it returns the swiss-hole dataset. :pr:`21482` by

:user:`Sebastian Pujalte <pujaltes>`.

:mod:`sklearn.decomposition`

- |Enhancement| :class:`decomposition.PCA` exposes a parameter `n_oversamples` to tune

:func:`sklearn.decomposition.randomized_svd` and

get accurate results when the number of features is large.

:pr:`21109` by :user:`Smile <x-shadow-man>`.

- |Fix| :class:`decomposition.FastICA` now validates input parameters in `fit` instead of `__init__`.

:pr:`21432` by :user:`Hannah Bohle <hhnnhh>` and :user:`Maren Westermann <marenwestermann>`.

- |Fix| :class:`decomposition.KernelPCA` now validates input parameters in

`fit` instead of `__init__`.

:pr:`21567` by :user:`Maggie Chege <MaggieChege>`.

- |API| Adds :term:`get_feature_names_out` to all transformers in the

:mod:`~sklearn.decomposition` module:

:class:`~sklearn.decomposition.DictionaryLearning`,

:class:`~sklearn.decomposition.FactorAnalysis`,

:class:`~sklearn.decomposition.FastICA`,

:class:`~sklearn.decomposition.IncrementalPCA`,

:class:`~sklearn.decomposition.KernelPCA`,

:class:`~sklearn.decomposition.LatentDirichletAllocation`,

:class:`~sklearn.decomposition.MiniBatchDictionaryLearning`,

:class:`~sklearn.decomposition.MiniBatchSparsePCA`,

:class:`~sklearn.decomposition.NMF`,

:class:`~sklearn.decomposition.PCA`,

:class:`~sklearn.decomposition.SparsePCA`,

and :class:`~sklearn.decomposition.TruncatedSVD`. :pr:`21334` by

`Thomas Fan`_.

- |API| :func:`decomposition.FastICA` now supports unit variance for whitening.

The default value of its `whiten` argument will change from `True`

(which behaves like `'arbitrary-variance'`) to `'unit-variance'` in version 1.3.

:pr:`19490` by :user:`Facundo Ferrin <fferrin>` and :user:`Julien Jerphanion <jjerphan>`

:mod:`sklearn.preprocessing`

- |Enhancement| Adds a `subsample` parameter to :class:`preprocessing.KBinsDiscretizer`.

This allows specifying a maximum number of samples to be used while fitting

the model. The option is only available when `strategy` is set to `quantile`.

:pr:`21445` by :user:`Felipe Bidu <fbidu>` and :user:`Amanda Dsouza <amy12xx>`.

- |Fix| :class:`preprocessing.LabelBinarizer` now validates input parameters in `fit`

instead of `__init__`.

:pr:`21434` by :user:`Krum Arnaudov <krumeto>`.

:mod:`sklearn.svm`

- |Fix| :class:`smv.NuSVC`, :class:`svm.NuSVR`, :class:`svm.SVC`,

:class:`svm.SVR`, :class:`svm.OneClassSVM` now validate input

parameters in `fit` instead of `__init__`.

:pr:`21436` by :user:`Haidar Almubarak <Haidar13 >`.