automatic import of python-etna-ts

3 files changed, 438 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..032a05b 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/etna-ts-1.3.1.tar.gz
diff --git a/python-etna-ts.spec b/python-etna-ts.spec
new file mode 100644
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--- /dev/null
+++ b/python-etna-ts.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-etna-ts
+Version:	1.3.1
+Release:	1
+Summary:	ETNA is the first python open source framework of Tinkoff.ru AI Center. It is designed to make working with time series simple, productive, and fun.
+License:	Apache 2.0
+URL:		https://github.com/tinkoff-ai/etna-ts
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/a7/be/b7e2e3cbc2e7dd0603c42aa4a1be3e4852313eef86abf2c1c4eb3d71c408/etna-ts-1.3.1.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-scikit-learn
+Requires:	python3-pandas
+Requires:	python3-catboost
+Requires:	python3-ruptures
+Requires:	python3-numba
+Requires:	python3-seaborn
+Requires:	python3-statsmodels
+Requires:	python3-dill
+Requires:	python3-toml
+Requires:	python3-loguru
+Requires:	python3-saxpy
+Requires:	python3-hydra-slayer
+Requires:	python3-typer
+Requires:	python3-prophet
+Requires:	python3-torch
+Requires:	python3-pytorch-forecasting
+Requires:	python3-wandb
+Requires:	python3-sphinx-mathjax-offline
+Requires:	python3-nbsphinx
+Requires:	python3-Sphinx
+Requires:	python3-numpydoc
+Requires:	python3-sphinx-rtd-theme
+Requires:	python3-myst-parser
+Requires:	python3-GitPython
+Requires:	python3-pytest
+Requires:	python3-coverage
+Requires:	python3-pytest-cov
+Requires:	python3-black
+Requires:	python3-isort
+Requires:	python3-flake8
+Requires:	python3-pep8-naming
+Requires:	python3-flake8-docstrings
+Requires:	python3-mypy
+Requires:	python3-types-PyYAML
+Requires:	python3-click
+Requires:	python3-semver
+Requires:	python3-ipywidgets
+Requires:	python3-jupyter
+Requires:	python3-nbconvert
+Requires:	python3-omegaconf
+
+%description
+# ETNA Time Series Library
+
+[![Pipi version](https://img.shields.io/pypi/v/etna-ts.svg)](https://pypi.org/project/etna-ts/)
+[![PyPI Status](https://static.pepy.tech/personalized-badge/etna-ts?period=total&units=international_system&left_color=grey&right_color=green&left_text=Downloads)](https://pepy.tech/project/etna-ts)
+[![Coverage](https://img.shields.io/codecov/c/github/tinkoff-ai/etna-ts)](https://codecov.io/gh/tinkoff-ai/etna-ts)
+
+[![Telegram](https://img.shields.io/badge/channel-telegram-blue)](https://t.me/etna_support)
+
+[Homepage](https://etna.tinkoff.ru) |
+[Documentation](https://etna-docs.netlify.app/) |
+[Tutorials](https://github.com/tinkoff-ai/etna-ts/tree/master/examples) | 
+[Contribution Guide](https://github.com/tinkoff-ai/etna-ts/blob/master/CONTRIBUTING.md) |
+[Release Notes](https://github.com/tinkoff-ai/etna-ts/releases)
+
+ETNA is an easy-to-use time series forecasting framework. 
+It includes built in toolkits for time series preprocessing, feature generation, 
+a variety of predictive models with unified interface - from classic machine learning
+to SOTA neural networks, models combination methods and smart backtesting.
+ETNA is designed to make working with time series simple, productive, and fun. 
+
+ETNA is the first python open source framework of 
+[Tinkoff.ru](https://www.tinkoff.ru/eng/)
+Artificial Intelligence Center. 
+The library started as an internal product in our company - 
+we use it in over 10+ projects now, so we often release updates. 
+Contributions are welcome - check our [Contribution Guide](https://github.com/tinkoff-ai/etna-ts/blob/master/CONTRIBUTING.md).
+
+
+
+## Installation 
+
+ETNA is on [PyPI](https://pypi.org/project/etna-ts), so you can use `pip` to install it.
+
+```bash
+pip install --upgrade pip
+pip install etna-ts
+```
+
+
+## Get started 
+Here's some example code for a quick start.
+```python
+import pandas as pd
+from etna.datasets.tsdataset import TSDataset
+from etna.models import ProphetModel
+
+# Read the data
+df = pd.read_csv("examples/data/example_dataset.csv")
+
+# Create a TSDataset
+df = TSDataset.to_dataset(df)
+ts = TSDataset(df, freq="D")
+
+# Choose a horizon
+HORIZON = 8
+
+# Fit the model
+model = ProphetModel()
+model.fit(ts)
+
+# Make the forecast
+future_ts = ts.make_future(HORIZON)
+forecast_ts = model.forecast(future_ts)
+```
+
+## Tutorials
+We have also prepared a set of tutorials for an easy introduction:
+
+| Notebook     | Interactive launch  |
+|:----------|------:|
+| [Get started](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/get_started.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/get_started.ipynb) |
+| [Backtest](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/backtest.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/backtest.ipynb) |
+| [EDA](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/EDA.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/EDA.ipynb) |
+| [Outliers](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/outliers.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/outliers.ipynb) |
+| [Clustering](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/clustering.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/clustering.ipynb) |
+| [Deep learning models](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/NN_examples.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/NN_examples.ipynb) |
+| [Ensembles](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/ensembles.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/ensembles.ipynb) |
+
+## Documentation
+ETNA documentation is available [here](https://etna-docs.netlify.app/).
+
+## Acknowledgments
+
+### ETNA.Team
+[Alekseev Andrey](https://github.com/iKintosh), 
+[Shenshina Julia](https://github.com/julia-shenshina),
+[Gabdushev Martin](https://github.com/martins0n),
+[Kolesnikov Sergey](https://github.com/Scitator),
+[Bunin Dmitriy](https://github.com/Mr-Geekman),
+[Chikov Aleksandr](https://github.com/alex-hse-repository),
+[Barinov Nikita](https://github.com/diadorer),
+[Romantsov Nikolay](https://github.com/WinstonDovlatov),
+[Makhin Artem](https://github.com/Ama16),
+[Denisov Vladislav](https://github.com/v-v-denisov),
+[Mitskovets Ivan](https://github.com/imitskovets),
+[Munirova Albina](https://github.com/albinamunirova)
+
+
+### ETNA.Contributors
+[Levashov Artem](https://github.com/soft1q),
+[Podkidyshev Aleksey](https://github.com/alekseyen)
+
+## License
+
+Feel free to use our library in your commercial and private applications.
+
+ETNA is covered by [Apache 2.0](/LICENSE). 
+Read more about this license [here](https://choosealicense.com/licenses/apache-2.0/)
+
+
+%package -n python3-etna-ts
+Summary:	ETNA is the first python open source framework of Tinkoff.ru AI Center. It is designed to make working with time series simple, productive, and fun.
+Provides:	python-etna-ts
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-etna-ts
+# ETNA Time Series Library
+
+[![Pipi version](https://img.shields.io/pypi/v/etna-ts.svg)](https://pypi.org/project/etna-ts/)
+[![PyPI Status](https://static.pepy.tech/personalized-badge/etna-ts?period=total&units=international_system&left_color=grey&right_color=green&left_text=Downloads)](https://pepy.tech/project/etna-ts)
+[![Coverage](https://img.shields.io/codecov/c/github/tinkoff-ai/etna-ts)](https://codecov.io/gh/tinkoff-ai/etna-ts)
+
+[![Telegram](https://img.shields.io/badge/channel-telegram-blue)](https://t.me/etna_support)
+
+[Homepage](https://etna.tinkoff.ru) |
+[Documentation](https://etna-docs.netlify.app/) |
+[Tutorials](https://github.com/tinkoff-ai/etna-ts/tree/master/examples) | 
+[Contribution Guide](https://github.com/tinkoff-ai/etna-ts/blob/master/CONTRIBUTING.md) |
+[Release Notes](https://github.com/tinkoff-ai/etna-ts/releases)
+
+ETNA is an easy-to-use time series forecasting framework. 
+It includes built in toolkits for time series preprocessing, feature generation, 
+a variety of predictive models with unified interface - from classic machine learning
+to SOTA neural networks, models combination methods and smart backtesting.
+ETNA is designed to make working with time series simple, productive, and fun. 
+
+ETNA is the first python open source framework of 
+[Tinkoff.ru](https://www.tinkoff.ru/eng/)
+Artificial Intelligence Center. 
+The library started as an internal product in our company - 
+we use it in over 10+ projects now, so we often release updates. 
+Contributions are welcome - check our [Contribution Guide](https://github.com/tinkoff-ai/etna-ts/blob/master/CONTRIBUTING.md).
+
+
+
+## Installation 
+
+ETNA is on [PyPI](https://pypi.org/project/etna-ts), so you can use `pip` to install it.
+
+```bash
+pip install --upgrade pip
+pip install etna-ts
+```
+
+
+## Get started 
+Here's some example code for a quick start.
+```python
+import pandas as pd
+from etna.datasets.tsdataset import TSDataset
+from etna.models import ProphetModel
+
+# Read the data
+df = pd.read_csv("examples/data/example_dataset.csv")
+
+# Create a TSDataset
+df = TSDataset.to_dataset(df)
+ts = TSDataset(df, freq="D")
+
+# Choose a horizon
+HORIZON = 8
+
+# Fit the model
+model = ProphetModel()
+model.fit(ts)
+
+# Make the forecast
+future_ts = ts.make_future(HORIZON)
+forecast_ts = model.forecast(future_ts)
+```
+
+## Tutorials
+We have also prepared a set of tutorials for an easy introduction:
+
+| Notebook     | Interactive launch  |
+|:----------|------:|
+| [Get started](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/get_started.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/get_started.ipynb) |
+| [Backtest](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/backtest.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/backtest.ipynb) |
+| [EDA](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/EDA.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/EDA.ipynb) |
+| [Outliers](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/outliers.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/outliers.ipynb) |
+| [Clustering](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/clustering.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/clustering.ipynb) |
+| [Deep learning models](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/NN_examples.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/NN_examples.ipynb) |
+| [Ensembles](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/ensembles.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/ensembles.ipynb) |
+
+## Documentation
+ETNA documentation is available [here](https://etna-docs.netlify.app/).
+
+## Acknowledgments
+
+### ETNA.Team
+[Alekseev Andrey](https://github.com/iKintosh), 
+[Shenshina Julia](https://github.com/julia-shenshina),
+[Gabdushev Martin](https://github.com/martins0n),
+[Kolesnikov Sergey](https://github.com/Scitator),
+[Bunin Dmitriy](https://github.com/Mr-Geekman),
+[Chikov Aleksandr](https://github.com/alex-hse-repository),
+[Barinov Nikita](https://github.com/diadorer),
+[Romantsov Nikolay](https://github.com/WinstonDovlatov),
+[Makhin Artem](https://github.com/Ama16),
+[Denisov Vladislav](https://github.com/v-v-denisov),
+[Mitskovets Ivan](https://github.com/imitskovets),
+[Munirova Albina](https://github.com/albinamunirova)
+
+
+### ETNA.Contributors
+[Levashov Artem](https://github.com/soft1q),
+[Podkidyshev Aleksey](https://github.com/alekseyen)
+
+## License
+
+Feel free to use our library in your commercial and private applications.
+
+ETNA is covered by [Apache 2.0](/LICENSE). 
+Read more about this license [here](https://choosealicense.com/licenses/apache-2.0/)
+
+
+%package help
+Summary:	Development documents and examples for etna-ts
+Provides:	python3-etna-ts-doc
+%description help
+# ETNA Time Series Library
+
+[![Pipi version](https://img.shields.io/pypi/v/etna-ts.svg)](https://pypi.org/project/etna-ts/)
+[![PyPI Status](https://static.pepy.tech/personalized-badge/etna-ts?period=total&units=international_system&left_color=grey&right_color=green&left_text=Downloads)](https://pepy.tech/project/etna-ts)
+[![Coverage](https://img.shields.io/codecov/c/github/tinkoff-ai/etna-ts)](https://codecov.io/gh/tinkoff-ai/etna-ts)
+
+[![Telegram](https://img.shields.io/badge/channel-telegram-blue)](https://t.me/etna_support)
+
+[Homepage](https://etna.tinkoff.ru) |
+[Documentation](https://etna-docs.netlify.app/) |
+[Tutorials](https://github.com/tinkoff-ai/etna-ts/tree/master/examples) | 
+[Contribution Guide](https://github.com/tinkoff-ai/etna-ts/blob/master/CONTRIBUTING.md) |
+[Release Notes](https://github.com/tinkoff-ai/etna-ts/releases)
+
+ETNA is an easy-to-use time series forecasting framework. 
+It includes built in toolkits for time series preprocessing, feature generation, 
+a variety of predictive models with unified interface - from classic machine learning
+to SOTA neural networks, models combination methods and smart backtesting.
+ETNA is designed to make working with time series simple, productive, and fun. 
+
+ETNA is the first python open source framework of 
+[Tinkoff.ru](https://www.tinkoff.ru/eng/)
+Artificial Intelligence Center. 
+The library started as an internal product in our company - 
+we use it in over 10+ projects now, so we often release updates. 
+Contributions are welcome - check our [Contribution Guide](https://github.com/tinkoff-ai/etna-ts/blob/master/CONTRIBUTING.md).
+
+
+
+## Installation 
+
+ETNA is on [PyPI](https://pypi.org/project/etna-ts), so you can use `pip` to install it.
+
+```bash
+pip install --upgrade pip
+pip install etna-ts
+```
+
+
+## Get started 
+Here's some example code for a quick start.
+```python
+import pandas as pd
+from etna.datasets.tsdataset import TSDataset
+from etna.models import ProphetModel
+
+# Read the data
+df = pd.read_csv("examples/data/example_dataset.csv")
+
+# Create a TSDataset
+df = TSDataset.to_dataset(df)
+ts = TSDataset(df, freq="D")
+
+# Choose a horizon
+HORIZON = 8
+
+# Fit the model
+model = ProphetModel()
+model.fit(ts)
+
+# Make the forecast
+future_ts = ts.make_future(HORIZON)
+forecast_ts = model.forecast(future_ts)
+```
+
+## Tutorials
+We have also prepared a set of tutorials for an easy introduction:
+
+| Notebook     | Interactive launch  |
+|:----------|------:|
+| [Get started](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/get_started.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/get_started.ipynb) |
+| [Backtest](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/backtest.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/backtest.ipynb) |
+| [EDA](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/EDA.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/EDA.ipynb) |
+| [Outliers](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/outliers.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/outliers.ipynb) |
+| [Clustering](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/clustering.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/clustering.ipynb) |
+| [Deep learning models](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/NN_examples.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/NN_examples.ipynb) |
+| [Ensembles](https://github.com/tinkoff-ai/etna-ts/tree/master/examples/ensembles.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tinkoff-ai/etna-ts/master?filepath=examples/ensembles.ipynb) |
+
+## Documentation
+ETNA documentation is available [here](https://etna-docs.netlify.app/).
+
+## Acknowledgments
+
+### ETNA.Team
+[Alekseev Andrey](https://github.com/iKintosh), 
+[Shenshina Julia](https://github.com/julia-shenshina),
+[Gabdushev Martin](https://github.com/martins0n),
+[Kolesnikov Sergey](https://github.com/Scitator),
+[Bunin Dmitriy](https://github.com/Mr-Geekman),
+[Chikov Aleksandr](https://github.com/alex-hse-repository),
+[Barinov Nikita](https://github.com/diadorer),
+[Romantsov Nikolay](https://github.com/WinstonDovlatov),
+[Makhin Artem](https://github.com/Ama16),
+[Denisov Vladislav](https://github.com/v-v-denisov),
+[Mitskovets Ivan](https://github.com/imitskovets),
+[Munirova Albina](https://github.com/albinamunirova)
+
+
+### ETNA.Contributors
+[Levashov Artem](https://github.com/soft1q),
+[Podkidyshev Aleksey](https://github.com/alekseyen)
+
+## License
+
+Feel free to use our library in your commercial and private applications.
+
+ETNA is covered by [Apache 2.0](/LICENSE). 
+Read more about this license [here](https://choosealicense.com/licenses/apache-2.0/)
+
+
+%prep
+%autosetup -n etna-ts-1.3.1
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-etna-ts -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 1.3.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..5ee8718
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+bfa3839aec5394021368b868d12f4c2e  etna-ts-1.3.1.tar.gz