diff options
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-sktime.spec | 21 | ||||
| -rw-r--r-- | sources | 2 |
3 files changed, 13 insertions, 11 deletions
@@ -1 +1,2 @@ /sktime-0.17.0.tar.gz +/sktime-0.17.1.tar.gz diff --git a/python-sktime.spec b/python-sktime.spec index 1f5451c..4fd2b3c 100644 --- a/python-sktime.spec +++ b/python-sktime.spec @@ -1,11 +1,11 @@ %global _empty_manifest_terminate_build 0 Name: python-sktime -Version: 0.17.0 +Version: 0.17.1 Release: 1 Summary: A unified framework for machine learning with time series License: BSD 3-Clause License Copyright (c) 2019 - 2020 The sktime developers. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. URL: https://www.sktime.net -Source0: https://mirrors.nju.edu.cn/pypi/web/packages/42/6e/c7e23c65b469f8ee7a6f8ea735189f40bd2909f6cc41a61ab2eabd2b4f78/sktime-0.17.0.tar.gz +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/6c/16/f166333d7e04f16b67097a8c1d76c167fde82f5ec3022b6a5056f58813c7/sktime-0.17.1.tar.gz BuildArch: noarch Requires: python3-deprecated @@ -14,6 +14,7 @@ Requires: python3-pandas Requires: python3-scikit-learn Requires: python3-scipy Requires: python3-numba +Requires: python3-attrs Requires: python3-cloudpickle Requires: python3-dash Requires: python3-dask @@ -79,7 +80,7 @@ Requires: python3-moto > A unified interface for machine learning with time series -:rocket: **Version 0.17.0 out now!** [Check out the release notes here](https://www.sktime.net/en/latest/changelog.html). +:rocket: **Version 0.17.1 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. @@ -90,7 +91,7 @@ sktime is a library for time series analysis in Python. It provides a unified in | **CI/CD** | [](https://github.com/sktime/sktime/actions/workflows/wheels.yml) [](https://codecov.io/gh/sktime/sktime) [](https://www.sktime.net/en/latest/?badge=latest) [](https://github.com/sktime/sktime) | | **Code** | [](https://pypi.org/project/sktime/) [](https://anaconda.org/conda-forge/sktime) [](https://www.python.org/) [](https://github.com/psf/black) [](https://mybinder.org/v2/gh/sktime/sktime/main?filepath=examples) | | **Downloads**| [)](https://pepy.tech/project/sktime) [)](https://pepy.tech/project/sktime) [)](https://pepy.tech/project/sktime) | -| **Community** | [](https://discord.com/invite/54ACzaFsn7) [](https://www.linkedin.com/company/scikit-time/) [](https://twitter.com/sktime_toolbox) [](https://www.youtube.com/playlist?list=PLKs3UgGjlWHqNzu0LEOeLKvnjvvest2d0) | +| **Community** | [](https://discord.com/invite/54ACzaFsn7) [](https://www.linkedin.com/company/scikit-time/) [](https://www.youtube.com/playlist?list=PLKs3UgGjlWHqNzu0LEOeLKvnjvvest2d0) | | **Citation** | [](https://doi.org/10.5281/zenodo.3749000) | ## :books: Documentation @@ -294,7 +295,7 @@ BuildRequires: python3-pip > A unified interface for machine learning with time series -:rocket: **Version 0.17.0 out now!** [Check out the release notes here](https://www.sktime.net/en/latest/changelog.html). +:rocket: **Version 0.17.1 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. @@ -305,7 +306,7 @@ sktime is a library for time series analysis in Python. It provides a unified in | **CI/CD** | [](https://github.com/sktime/sktime/actions/workflows/wheels.yml) [](https://codecov.io/gh/sktime/sktime) [](https://www.sktime.net/en/latest/?badge=latest) [](https://github.com/sktime/sktime) | | **Code** | [](https://pypi.org/project/sktime/) [](https://anaconda.org/conda-forge/sktime) [](https://www.python.org/) [](https://github.com/psf/black) [](https://mybinder.org/v2/gh/sktime/sktime/main?filepath=examples) | | **Downloads**| [)](https://pepy.tech/project/sktime) [)](https://pepy.tech/project/sktime) [)](https://pepy.tech/project/sktime) | -| **Community** | [](https://discord.com/invite/54ACzaFsn7) [](https://www.linkedin.com/company/scikit-time/) [](https://twitter.com/sktime_toolbox) [](https://www.youtube.com/playlist?list=PLKs3UgGjlWHqNzu0LEOeLKvnjvvest2d0) | +| **Community** | [](https://discord.com/invite/54ACzaFsn7) [](https://www.linkedin.com/company/scikit-time/) [](https://www.youtube.com/playlist?list=PLKs3UgGjlWHqNzu0LEOeLKvnjvvest2d0) | | **Citation** | [](https://doi.org/10.5281/zenodo.3749000) | ## :books: Documentation @@ -506,7 +507,7 @@ Provides: python3-sktime-doc > A unified interface for machine learning with time series -:rocket: **Version 0.17.0 out now!** [Check out the release notes here](https://www.sktime.net/en/latest/changelog.html). +:rocket: **Version 0.17.1 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. @@ -517,7 +518,7 @@ sktime is a library for time series analysis in Python. It provides a unified in | **CI/CD** | [](https://github.com/sktime/sktime/actions/workflows/wheels.yml) [](https://codecov.io/gh/sktime/sktime) [](https://www.sktime.net/en/latest/?badge=latest) [](https://github.com/sktime/sktime) | | **Code** | [](https://pypi.org/project/sktime/) [](https://anaconda.org/conda-forge/sktime) [](https://www.python.org/) [](https://github.com/psf/black) [](https://mybinder.org/v2/gh/sktime/sktime/main?filepath=examples) | | **Downloads**| [)](https://pepy.tech/project/sktime) [)](https://pepy.tech/project/sktime) [)](https://pepy.tech/project/sktime) | -| **Community** | [](https://discord.com/invite/54ACzaFsn7) [](https://www.linkedin.com/company/scikit-time/) [](https://twitter.com/sktime_toolbox) [](https://www.youtube.com/playlist?list=PLKs3UgGjlWHqNzu0LEOeLKvnjvvest2d0) | +| **Community** | [](https://discord.com/invite/54ACzaFsn7) [](https://www.linkedin.com/company/scikit-time/) [](https://www.youtube.com/playlist?list=PLKs3UgGjlWHqNzu0LEOeLKvnjvvest2d0) | | **Citation** | [](https://doi.org/10.5281/zenodo.3749000) | ## :books: Documentation @@ -709,7 +710,7 @@ There are many ways to join the sktime community. We follow the [all-contributor %prep -%autosetup -n sktime-0.17.0 +%autosetup -n sktime-0.17.1 %build %py3_build @@ -749,5 +750,5 @@ mv %{buildroot}/doclist.lst . %{_docdir}/* %changelog -* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.17.0-1 +* Fri Apr 21 2023 Python_Bot <Python_Bot@openeuler.org> - 0.17.1-1 - Package Spec generated @@ -1 +1 @@ -cbd42edd596da5885237858f21ed34a5 sktime-0.17.0.tar.gz +d0e8cb26d2e8910904eadca460c879c5 sktime-0.17.1.tar.gz |