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Release 0.24.0 (#5403)
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Release PR for 0.24.0

* version number bump
* changelog
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fkiraly authored Oct 13, 2023
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2 changes: 1 addition & 1 deletion README.md
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> A unified interface for machine learning with time series
:rocket: **Version 0.23.1 out now!** [Check out the release notes here](https://www.sktime.net/en/latest/changelog.html).
:rocket: **Version 0.24.0 out now!** [Check out the release notes here](https://www.sktime.net/en/latest/changelog.html).

sktime is a library for time series analysis in Python. It provides a unified interface for multiple time series learning tasks. Currently, this includes time series classification, regression, clustering, annotation, and forecasting. It comes with [time series algorithms](https://www.sktime.net/en/stable/estimator_overview.html) and [scikit-learn] compatible tools to build, tune and validate time series models.

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48 changes: 48 additions & 0 deletions docs/source/changelog.rst
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Expand Up @@ -14,6 +14,54 @@ For upcoming changes and next releases, see our `milestones <https://github.com/
For our long-term plan, see our :ref:`roadmap`.


Version 0.24.0 - 2023-10-13
---------------------------

Maintenance release:

* support for python 3.12
* scheduled deprecations
* soft dependency updates

For last non-maintenance content updates, see 0.23.1.

Dependency changes
~~~~~~~~~~~~~~~~~~

* ``pykalman`` dependencies have been replaced by the fork ``pykalman-bardo``.
``pykalman`` is abandoned, and ``pykalman-bardo`` is a maintained fork.
This is a soft dependency, and the switch does not affect users installing
``sktime`` using one of its dependency sets.
Mid-term, we expect ``pykalman-bardo`` to be merged back into ``pykalman``,
after which the dependency will be switched back to ``pykalman``.
* ``holidays`` (transformations soft dependency) bounds have been updated to ``>=0.29,<0.35``.
* ``numba`` (classification, regression, and transformations soft dependency) bounds have been updated to ``>=0.53,<0.59``.
* ``skpro`` (forecasting soft dependency) bounds have been updated to ``>=2.0.0,<2.2.0``.

Deprecations and removals
~~~~~~~~~~~~~~~~~~~~~~~~~

* in forecasting tuners ``ForecastingGridSearchCV``, ``ForecastingRandomizedSearchCV``,
``ForecastingSkoptSearchCV``, the default of parameter ``tune_by_variable``
has been switched from ``True`` to ``False``.

Contents
~~~~~~~~

* [MNT] Update ``numba`` requirement from ``<0.58,>=0.53`` to ``>=0.53,<0.59`` (:pr:`5299`, :pr:`5319`) :user:`dependabot[bot]`, :user:`fkiraly`
* [MNT] [Dependabot](deps-dev): Update ``skpro`` requirement from ``<2.1.0,>=2.0.0`` to ``>=2.0.0,<2.2.0`` (:pr:`5396`) :user:`dependabot[bot]`
* [MNT] [Dependabot](deps-dev): Update ``holidays`` requirement from ``<0.34,>=0.29`` to ``>=0.29,<0.35`` (:pr:`5342`) :user:`dependabot[bot]`
* [MNT] Migrate from ``pykalman`` to ``pykalman-bardo`` (:pr:`5277`) :user:`mbalatsko`
* [MNT] 0.24.0 deprecations and change actions (:pr:`5404`) :user:`fkiraly`
* 🚀 python 3.12 🚀 (:pr:`5345`) :user:`fkiraly`

Contributors
~~~~~~~~~~~~

:user:`fkiraly`,
:user:`mbalatsko`


Version 0.23.1 - 2023-10-12
---------------------------

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2 changes: 1 addition & 1 deletion pyproject.toml
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[project]
name = "sktime"
version = "0.23.1"
version = "0.24.0"
description = "A unified framework for machine learning with time series"
authors = [
{name = "sktime developers", email = "sktime.toolbox@gmail.com"},
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2 changes: 1 addition & 1 deletion sktime/__init__.py
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"""sktime."""

__version__ = "0.23.1"
__version__ = "0.24.0"

__all__ = ["show_versions"]

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