diff --git a/doc/whats_new/v1.1.rst b/doc/whats_new/v1.1.rst
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-.. include:: _contributors.rst
-
-.. currentmodule:: sklearn
-
-.. _changes_1_1:
-
-Version 1.1.0
-=============
-
-**In Development**
-
-
-.. include:: changelog_legend.inc
-
-Minimal dependencies
---------------------
-
-Version 1.1.0 of scikit-learn requires python 3.7+, numpy 1.14.6+ and
-scipy 1.1.0+. Optional minimal dependency is matplotlib 2.2.3+.
-
-Put the changes in their relevant module.
-
-Changed models
---------------
-
-
-Changelog
----------
-
-..
-    Entries should be grouped by module (in alphabetic order) and prefixed with
-    one of the labels: |MajorFeature|, |Feature|, |Efficiency|, |Enhancement|,
-    |Fix| or |API| (see whats_new.rst for descriptions).
-    Entries should be ordered by those labels (e.g. |Fix| after |Efficiency|).
-    Changes not specific to a module should be listed under *Multiple Modules*
-    or *Miscellaneous*.
-    Entries should end with:
-    :pr:`123456` by :user:`Joe Bloggs <joeongithub>`.
-    where 123456 is the *pull request* number, not the issue number.
-
-:mod:`sklearn.calibration`
-..........................
-
-- |Enhancement| :func:`calibration.calibration_curve` accepts a parameter
-  `pos_label` to specify the positive class label.
-  :pr:`21032` by :user:`Guillaume Lemaitre <glemaitre>`.
-
-:mod:`sklearn.ensemble`
-.......................
-
-- |Fix| Fixed a bug that could produce a segfault in rare cases for
-  :class:`ensemble.HistGradientBoostingClassifier` and
-  :class:`ensemble.HistGradientBoostingRegressor`.
-  :pr:`21130` :user:`Christian Lorentzen <lorentzenchr>`.
-
-:mod:`sklearn.feature_extraction`
-.................................
-
-- |Fix| Fixed a bug in :class:`feature_extraction.CountVectorizer` and
-  :class:`feature_extraction.TfidfVectorizer` by raising an
-  error when 'min_idf' or 'max_idf' are floating-point numbers greater than 1.
-  :pr:`20752` by :user:`Alek Lefebvre <AlekLefebvre>`.
-
-:mod:`sklearn.linear_model`
-...........................
-
-- |Fix| :class:`linear_model.LogisticRegression` now raises a better error
-  message when the solver does not support sparse matrices with int64 indices.
-  :pr:`21093` by `Tom Dupre la Tour`_.
-:mod:`sklearn.cross_decomposition`
-..................................
-
-- |Enhancement| :func:`cross_decomposition._PLS.inverse_transform` now allows
-  reconstruction of a `X` target when a `Y` parameter is given. :pr:`19680` by
-  :user:`Robin Thibaut <robinthibaut>`.
-
-:mod:`sklearn.impute`
-.....................
-
-- |API| Adds :meth:`get_feature_names_out` to :class:`impute.SimpleImputer`,
-  :class:`impute.KNNImputer`, :class:`impute.IterativeImputer`, and
-  :class:`impute.MissingIndicator`. :pr:`21078` by `Thomas Fan`_.
-
-:mod:`sklearn.metrics`
-......................
-
-- |API| :class:`metrics.DistanceMetric` has been moved from
-  :mod:`sklearn.neighbors` to :mod:`sklearn.metric`.
-  Using `neighbors.DistanceMetric` for imports is still valid for
-  backward compatibility, but this alias will be removed in 1.3.
-  :pr:`21177` by :user:`Julien Jerphanion <jjerphan>`.
-
-:mod:`sklearn.model_selection`
-..............................
-
-- |Enhancement| raise an error during cross-validation when the fits for all the
-  splits failed. Similarly raise an error during grid-search when the fits for
-  all the models and all the splits failed. :pr:`21026` by :user:`Loïc Estève <lesteve>`.
-
-:mod:`sklearn.pipeline`
-.......................
-
-- |Enhancement| Added support for "passthrough" in :class:`FeatureUnion`.
-  Setting a transformer to "passthrough" will pass the features unchanged.
-  :pr:`20860` by :user:`Shubhraneel Pal <shubhraneel>`.
-
-:mod:`sklearn.utils`
-....................
-
-- |Enhancement| :func:`utils.validation._check_sample_weight` can perform a
-  non-negativity check on the sample weights. It can be turned on
-  using the only_non_negative bool parameter.
-  Estimators that check for non-negative weights are updated:
-  :func:`linear_model.LinearRegression` (here the previous
-  error message was misleading),
-  :func:`ensemble.AdaBoostClassifier`,
-  :func:`ensemble.AdaBoostRegressor`,
-  :func:`neighbors.KernelDensity`.
-  :pr:`20880` by :user:`Guillaume Lemaitre <glemaitre>`
-  and :user:`András Simon <simonandras>`.
-
-:mod:`sklearn.pipeline`
-.......................
-
-- |Enhancement| Added support for "passthrough" in :class:`FeatureUnion`.
-  Setting a transformer to "passthrough" will pass the features unchanged.
-  :pr:`20860` by :user:`Shubhraneel Pal <shubhraneel>`.
-- |Enhancement| :func:`utils.estimator_html_repr` shows a more helpful error
-  message when running in a jupyter notebook that is not trusted. :pr:`21316`
-  by `Thomas Fan`_.
-
-Code and Documentation Contributors
------------------------------------
-
-Thanks to everyone who has contributed to the maintenance and improvement of
-the project since version 1.0, including:
-
-TODO: update at the time of the release.