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Release 0.11.0 (#373)
Release 0.11.0 * changelog * version bump
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README.md

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`skbase` provides base classes for creating scikit-learn-like parametric objects,
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along with tools to make it easier to build your own packages that follow these design patterns.
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:rocket: Version 0.10.1 is now available. Check out our
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:rocket: Version 0.11.0 is now available. Check out our
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[release notes](https://skbase.readthedocs.io/en/latest/changelog.html).
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| Overview | |

docs/source/_static/switcher.json

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"url": "https://skbase.readthedocs.io/en/latest/"
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},
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{
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"name": "0.10.1 (stable)",
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"name": "0.11.0 (stable)",
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"version": "stable",
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"url": "https://skbase.readthedocs.io/en/v0.11.0/"
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},
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{
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"name": "0.10.1",
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"version": "stable",
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"url": "https://skbase.readthedocs.io/en/v0.10.1/"
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},

docs/source/user_documentation/changelog.rst

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For planned changes and upcoming releases, see our :ref:`roadmap`.
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[0.11.0] - 2024-10-07
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=====================
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Maintenance release with full support for ``python 3.13``,
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and other minor improvements.
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Contents
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--------
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* [MNT] full support for ``python 3.13`` (:pr:`372`) :user:`fkiraly`
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* [DOC] improved docstrings for ``BaseObject`` (:pr:`369`) :user:`fkiraly`
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* [DOC] merge docstring of ``NotFittedError`` with ``sktime``
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(:pr:`371`) :user:`fkiraly`
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* [ENH] merge ``sktime`` ``BaseEstimator` into ``skbase`` ``BaseEstimator``
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(:pr:`370`) :user:`fkiraly`
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* [pre-commit.ci] pre-commit autoupdate (:pr:`374`) :user:`pre-commit-ci`
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[0.10.1] - 2024-09-29
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=====================
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Maintenance release with experimental python 3.13 wheels.
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Maintenance release with experimental ``python 3.13`` wheels.
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Full 3.13 support will be added with ``scikit-base 0.11.0``.
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Contents
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* [pre-commit.ci] pre-commit autoupdate (:pr:`364`) :user:`pre-commit-ci`
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* [MNT] updates ``scikit-learn`` soft dependency checks to use PEP 440 name
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(:pr:`366`) :user:`fkiraly`
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* [MNT] experimental python ``3.13`` wheels and ``3.13-rc.2`` testing
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* [MNT] experimental ``python 3.13`` wheels and ``3.13-rc.2`` testing
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(:pr:`365`) :user:`fkiraly`
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pyproject.toml

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[project]
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name = "scikit-base"
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version = "0.10.1"
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version = "0.11.0"
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description = "Base classes for sklearn-like parametric objects"
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authors = [
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{name = "sktime developers", email = "sktime.toolbox@gmail.com"},

skbase/__init__.py

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The included functionality makes it easy to reuse scikit-learn and
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sktime design principles in your project.
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"""
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__version__: str = "0.10.1"
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__version__: str = "0.11.0"

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