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0.12.0 skforecast-0.12.0-py3-none-any.whl

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Project: skforecast
Version: 0.12.0
Filename: skforecast-0.12.0-py3-none-any.whl
Download: [link]
Size: 558308
MD5: 443463ad4a070c0324afe15e90844e9e
SHA256: 83701b0c5f1cc96e398cb6c0f4c0f613838bfc3c4d7056aea52710f86906dac9
Uploaded: 2024-05-05 12:52:36 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: skforecast
Version: 0.12.0
Summary: Forecasting time series with scikit-learn regressors. It also works with any regressor compatible with the scikit-learn API (pipelines, CatBoost, LightGBM, XGBoost, Ranger...).
Author-Email: Joaquin Amat Rodrigo <j.amatrodrigo[at]gmail.com>, Javier Escobar Ortiz <javier.escobar.ortiz[at]gmail.com>
Maintainer-Email: Joaquin Amat Rodrigo <j.amatrodrigo[at]gmail.com>, Javier Escobar Ortiz <javier.escobar.ortiz[at]gmail.com>
Project-Url: Homepage, https://www.skforecast.org
Project-Url: Repository, https://github.com/JoaquinAmatRodrigo/skforecast
Project-Url: Documentation, https://www.skforecast.org
Project-Url: Release Notes, https://skforecast.org/latest/releases/releases
License: BSD 3-Clause License Copyright (c) 2021-2024, skforecast developers Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. 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. 3. 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.
Keywords: data-science,machine-learning,data-mining,time-series,scikit-learn,forecasting,time-series-analysis,time-series-regression
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: License :: OSI Approved :: BSD License
Requires-Python: >=3.8
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Requires-Dist: seaborn (<0.14,>=0.11); extra == "all"
Requires-Dist: statsmodels (<0.15,>=0.12); extra == "all"
Requires-Dist: tensorflow (<2.16,>=2.13); extra == "all"
Requires-Dist: matplotlib (<3.9,>=3.3); extra == "deeplearning"
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Requires-Dist: lightgbm (<4.4,>=4.0); extra == "test"
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Provides-Extra: all
Provides-Extra: deeplearning
Provides-Extra: docs
Provides-Extra: full
Provides-Extra: plotting
Provides-Extra: sarimax
Provides-Extra: test
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 17532 characters]

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skforecast-0.12.0.dist-info/RECORD — —

top_level.txt

skforecast