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+/orion-ml-0.5.0.tar.gz
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+%global _empty_manifest_terminate_build 0
+Name:		python-orion-ml
+Version:	0.5.0
+Release:	1
+Summary:	Orion is a machine learning library built for unsupervised time series anomaly detection.
+License:	MIT license
+URL:		https://github.com/sintel-dev/Orion
+Source0:	https://mirrors.aliyun.com/pypi/web/packages/aa/c2/48beb51e236e70117f4690d8adc4320697e79599d7594d45663f32b7c371/orion-ml-0.5.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-s3fs
+Requires:	python3-mlblocks
+Requires:	python3-ml-stars
+Requires:	python3-numpy
+Requires:	python3-pandas
+Requires:	python3-scikit-learn
+Requires:	python3-tabulate
+Requires:	python3-numba
+Requires:	python3-pyts
+Requires:	python3-azure-cognitiveservices-anomalydetector
+Requires:	python3-xlsxwriter
+Requires:	python3-tqdm
+Requires:	python3-h5py
+Requires:	python3-protobuf
+Requires:	python3-opencv-python
+Requires:	python3-tensorflow
+Requires:	python3-tensorflow
+Requires:	python3-pip
+Requires:	python3-bumpversion
+Requires:	python3-watchdog
+Requires:	python3-docutils
+Requires:	python3-m2r2
+Requires:	python3-nbsphinx
+Requires:	python3-Sphinx
+Requires:	python3-pydata-sphinx-theme
+Requires:	python3-autodocsumm
+Requires:	python3-markupsafe
+Requires:	python3-ipython
+Requires:	python3-Jinja2
+Requires:	python3-flake8
+Requires:	python3-isort
+Requires:	python3-autoflake
+Requires:	python3-autopep8
+Requires:	python3-importlib-metadata
+Requires:	python3-twine
+Requires:	python3-wheel
+Requires:	python3-coverage
+Requires:	python3-tox
+Requires:	python3-invoke
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-rundoc
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-rundoc
+
+%description
+## 0.5.0 - 2023-05-23
+This version uses ``ml-stars`` package instead of ``mlprimitives``.
+### Issues resolved
+* Migrate to ml-stars – [Issue #418](https://github.com/signals-dev/Orion/issues/418) by @sarahmish
+* Updating ``best_cost`` in ``find_anomalies`` primitive – [Issue #403](https://github.com/signals-dev/Orion/issues/403) by @sarahmish
+* Retire ``lstm_dynamic_threshold_gpu`` and ``lstm_autoencoder_gpu`` pipeline maintenance – [Issue #373](https://github.com/signals-dev/Orion/issues/373) by @sarahmish
+* Typo in xlsxwriter dependency specification – [Issue #394](https://github.com/signals-dev/Orion/issues/394) by @sarahmish
+* ``orion.evaluate`` uses fails when fitting – [Issue #384](https://github.com/signals-dev/Orion/issues/384) by @sarahmish
+* AER pipeline with visualization option – [Issue #379](https://github.com/signals-dev/Orion/issues/379) by @sarahmish
+## 0.4.1 - 2023-01-31
+### Issues resolved
+* Move VAE from sandbox to verified – [Issue #377](https://github.com/signals-dev/Orion/issues/377) by @sarahmish
+* Pin ``opencv`` – [Issue #372](https://github.com/signals-dev/Orion/issues/372) by @sarahmish
+* Pin ``scikit-learn`` – [Issue #367](https://github.com/signals-dev/Orion/issues/367) by @sarahmish
+* Fix VAE documentation – [Issue #360](https://github.com/signals-dev/Orion/issues/360) by @sarahmish
+## 0.4.0 - 2022-11-08
+This version introduces several new enhancements:
+* Support to python 3.8
+* Migrating to Tensorflow 2.0
+* New pipeline, namely ``VAE``, a Variational AutoEncoder model.
+### Issues resolved
+* Add python 3.8 – [Issue #342](https://github.com/signals-dev/Orion/issues/342) by @sarahmish
+* VAE (Variational Autoencoders) pipeline implementation – [Issue #349](https://github.com/signals-dev/Orion/issues/349) by @dyuliu
+* Add masking option for ``regression_errors`` – [Issue #352](https://github.com/signals-dev/Orion/issues/352) by @dyuliu
+* Changes in TadGAN for tensorflow 2.0 – [Issue #161](https://github.com/signals-dev/Orion/issues/161) by @lcwong0928
+* Add an automatic dependency checker – [Issue #320](https://github.com/signals-dev/Orion/issues/320) by @sarahmish
+* TadGAN ``batch_size`` cannot be changed – [Issue #313](https://github.com/signals-dev/Orion/issues/313) by @sarahmish
+## 0.3.2 - 2022-07-04
+This version fixes some of the issues in ``aer``, ``ae``, and ``tadgan`` pipelines.
+### Issues resolved
+* Fix AER model predict error after loading – [Issue #304](https://github.com/signals-dev/Orion/issues/304) by @lcwong0928
+* Update AE to work with any `window_size` – [Issue #300](https://github.com/signals-dev/Orion/issues/300) by @sarahmish
+* Updated tadgan_viz.json – [Issue #292](https://github.com/signals-dev/Orion/issues/292) by @Hramir
+## 0.3.1 - 2022-04-26
+This version introduce a new pipeline, namely ``AER``, an AutoEncoder Regressor model.
+### Issues resolved
+* Add AER Model - [Issue #286](https://github.com/signals-dev/Orion/issues/286) by @lcwong0928
+## 0.3.0 - 2022-03-31
+This version deprecates the support of ``OrionDBExplorer``, which has been migrated to
+[sintel](https://github.com/signals-dev/Orion). As a result, ``Orion`` no longer requires
+mongoDB as a dependency.
+### Issues resolved
+* Update dependency  - [Issue #283](https://github.com/signals-dev/Orion/issues/283) by @sarahmish
+* General housekeeping  - [Issue #278](https://github.com/signals-dev/Orion/issues/278) by @sarahmish
+* Fix tutorial testing issue - [Issue #276](https://github.com/signals-dev/Orion/issues/276) by @sarahmish
+* Migrate OrionExplorer to Sintel - [Issue #275](https://github.com/signals-dev/Orion/issues/275) by @dyuliu
+* LSTM viz JSON pipeline added - [Issue #271](https://github.com/signals-dev/Orion/issues/271) by @Hramir
+## 0.2.1 - 2022-02-18
+This version introduces improvements and more testing.
+### Issues resolved
+* Adjusting builds for TadGAN - [Issue #261](https://github.com/signals-dev/Orion/issues/261) by @sarahmish
+* Testing tutorials, dependencies, and OS - [Issue #251](https://github.com/signals-dev/Orion/issues/251) by @sarahmish
+## 0.2.0 - 2021-10-11
+This version supports multivariate timeseries as input. In addition to minor improvements
+and maintenance.
+### Issues resolved
+* `setuptools` no longer supports `lib2to3` breaking `mongoengine` - [Issue #252](https://github.com/signals-dev/Orion/issues/252) by @sarahmish
+* Supporting multivariate input - [Issue #248](https://github.com/signals-dev/Orion/issues/248) by @sarahmish
+* TadGAN pipeline with visualization option - [Issue #240](https://github.com/signals-dev/Orion/issues/240) by @sarahmish
+* Support saving absolute path for add_signals and add_signal when using dbExplorer - [Issue #202](https://github.com/signals-dev/Orion/issues/202) by @sarahmish
+* dynamic scalability of TadGAN primitive based on `window_size` - [Issue #87](https://github.com/signals-dev/Orion/issues/87) by @sarahmish
+## 0.1.7 - 2021-05-04
+This version adds new features to the benchmark function where users can now save pipelines, view results as they are being calculated, and allow a single evaluation to be compared multiple times.
+### Issues resolved
+* Dask issues in benchmark function & improvements - [Issue #225](https://github.com/signals-dev/Orion/issues/225) by @sarahmish
+* Numerical overflow when using contextual metrics - [Issue #212](https://github.com/signals-dev/Orion/issues/212) by @kronerte
+## 0.1.6 - 2021-03-08
+This version introduces two new pipelines: LSTM AE and Dense AE.
+In addition to minor improvements, a bit of code refactoring took place to introduce
+a new primtive: ``reconstruction_errors``.
+### Issues resolved
+* Comparison of DTW library performance - [Issue #205](https://github.com/signals-dev/Orion/issues/205) by @sarahmish
+* Not able to pickle dump tadgan pipeline - [Issue #200](https://github.com/signals-dev/Orion/issues/200) by @sarahmish
+* New pipeline LSTM and Dense autoencoders - [Issue #194](https://github.com/signals-dev/Orion/issues/194) by @sarahmish
+* Readme - [Issue #192](https://github.com/signals-dev/Orion/issues/192) by @pvk-developer
+* Unable to launch cli - [Issue #186](https://github.com/signals-dev/Orion/issues/186) by @sarahmish
+* bullet points not formatted correctly in index.rst - [Issue #178](https://github.com/signals-dev/Orion/issues/178) by @micahjsmith
+* Update notebooks - [Issue #176](https://github.com/signals-dev/Orion/issues/176) by @sarahmish
+* Inaccuracy in README.md file in orion/evaluation/ - [Issue #157](https://github.com/signals-dev/Orion/issues/157) by @sarahmish
+* Dockerfile -- docker does not find orion primitives automatically - [Issue #155](https://github.com/signals-dev/Orion/issues/155) by @sarahmish
+* Primitive documentation - [Issue #151](https://github.com/signals-dev/Orion/issues/151) by @sarahmish
+* Variable name inconsistency in tadgan - [Issue #150](https://github.com/signals-dev/Orion/issues/150) by @sarahmish
+* Sync leaderboard tables between `BENCHMARK.md` and the docs - [Issue #148](https://github.com/signals-dev/Orion/issues/148) by @sarahmish
+## 0.1.5 - 2020-12-25
+This version includes the new style of documentation and a revamp of the `README.md`. In addition to some minor improvements
+in the benchmark code and primitives. This release includes the transfer of `tadgan` pipeline to `verified`.
+### Issues resolved
+* Link with google colab - [Issue #144](https://github.com/signals-dev/Orion/issues/144) by @sarahmish
+* Add `timeseries_anomalies` unittests - [Issue #136](https://github.com/signals-dev/Orion/issues/136) by @sarahmish
+* Update `find_sequences` in converting series to arrays - [Issue #135](https://github.com/signals-dev/Orion/issues/135) by @sarahmish
+* Definition of error/critic smooth window in score anomalies primitive - [Issue #132](https://github.com/signals-dev/Orion/issues/132) by @sarahmish
+* Train-test split in benchmark enhancement - [Issue #130](https://github.com/signals-dev/Orion/issues/130) by @sarahmish
+## 0.1.4 - 2020-10-16
+Minor enhancements to benchmark
+* Load ground truth before try-catch - [Issue #124](https://github.com/signals-dev/Orion/issues/124) by @sarahmish
+* Converting timestamp to datetime in Azure primitive - [Issue #123](https://github.com/signals-dev/Orion/issues/123) by @sarahmish
+* Benchmark exceptions - [Issue #120](https://github.com/signals-dev/Orion/issues/120) by @sarahmish
+## 0.1.3 - 2020-09-29
+New benchmark and Azure primitive.
+* Implement a benchmarking function new feature - [Issue #94](https://github.com/signals-dev/Orion/issues/94) by @sarahmish
+* Add azure anomaly detection as primitive new feature - [Issue #97](https://github.com/signals-dev/Orion/issues/97) by @sarahmish
+* Critic and reconstruction error combination - [Issue #99](https://github.com/signals-dev/Orion/issues/99) by @sarahmish
+* Fixed threshold for `find_anomalies` - [Issue #101](https://github.com/signals-dev/Orion/issues/101) by @sarahmish
+* Add an option to have window size and window step size as percentages of error size - [Issue #102](https://github.com/signals-dev/Orion/issues/102) by @sarahmish
+* Organize pipelines into verified and sandbox - [Issue #105](https://github.com/signals-dev/Orion/issues/105) by @sarahmish
+* Ground truth parameter name enhancement - [Issue #114](https://github.com/signals-dev/Orion/issues/114) by @sarahmish
+* Add benchmark dataset list and parameters to s3 bucket enhancement - [Issue #118](https://github.com/signals-dev/Orion/issues/118) by @sarahmish
+## 0.1.2 - 2020-07-03
+New Evaluation sub-package and refactor TadGAN.
+* Two bugs when saving signalrun if there is no event detected - [Issue #92](https://github.com/signals-dev/Orion/issues/92) by @dyuliu 
+* File encoding/decoding issues about `README.md` and `HISTORY.md` - [Issue #88](https://github.com/signals-dev/Orion/issues/88) by @dyuliu
+* Fix bottle neck of `score_anomaly` in Cyclegan primitive - [Issue #86](https://github.com/signals-dev/Orion/issues/86) by @dyuliu
+* Adjust `epoch` meaning in Cyclegan primitive - [Issue #85](https://github.com/signals-dev/Orion/issues/85) by @sarahmish
+* Rename evaluation to benchmark and metrics to evaluation - [Issue #83](https://github.com/signals-dev/Orion/issues/83) by @sarahmish
+* Scoring function for intervals of size one - [Issue #76](https://github.com/signals-dev/Orion/issues/76) by @sarahmish
+## 0.1.1 - 2020-05-11
+New class and function based interfaces.
+* Implement the Orion Class - [Issue #79](https://github.com/D3-AI/Orion/issues/79) by @csala
+* Implement new functional interface - [Issue #80](https://github.com/D3-AI/Orion/issues/80) by @csala
+## 0.1.0 - 2020-04-23
+First Orion release to PyPI: https://pypi.org/project/orion-ml/
+
+%package -n python3-orion-ml
+Summary:	Orion is a machine learning library built for unsupervised time series anomaly detection.
+Provides:	python-orion-ml
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-orion-ml
+## 0.5.0 - 2023-05-23
+This version uses ``ml-stars`` package instead of ``mlprimitives``.
+### Issues resolved
+* Migrate to ml-stars – [Issue #418](https://github.com/signals-dev/Orion/issues/418) by @sarahmish
+* Updating ``best_cost`` in ``find_anomalies`` primitive – [Issue #403](https://github.com/signals-dev/Orion/issues/403) by @sarahmish
+* Retire ``lstm_dynamic_threshold_gpu`` and ``lstm_autoencoder_gpu`` pipeline maintenance – [Issue #373](https://github.com/signals-dev/Orion/issues/373) by @sarahmish
+* Typo in xlsxwriter dependency specification – [Issue #394](https://github.com/signals-dev/Orion/issues/394) by @sarahmish
+* ``orion.evaluate`` uses fails when fitting – [Issue #384](https://github.com/signals-dev/Orion/issues/384) by @sarahmish
+* AER pipeline with visualization option – [Issue #379](https://github.com/signals-dev/Orion/issues/379) by @sarahmish
+## 0.4.1 - 2023-01-31
+### Issues resolved
+* Move VAE from sandbox to verified – [Issue #377](https://github.com/signals-dev/Orion/issues/377) by @sarahmish
+* Pin ``opencv`` – [Issue #372](https://github.com/signals-dev/Orion/issues/372) by @sarahmish
+* Pin ``scikit-learn`` – [Issue #367](https://github.com/signals-dev/Orion/issues/367) by @sarahmish
+* Fix VAE documentation – [Issue #360](https://github.com/signals-dev/Orion/issues/360) by @sarahmish
+## 0.4.0 - 2022-11-08
+This version introduces several new enhancements:
+* Support to python 3.8
+* Migrating to Tensorflow 2.0
+* New pipeline, namely ``VAE``, a Variational AutoEncoder model.
+### Issues resolved
+* Add python 3.8 – [Issue #342](https://github.com/signals-dev/Orion/issues/342) by @sarahmish
+* VAE (Variational Autoencoders) pipeline implementation – [Issue #349](https://github.com/signals-dev/Orion/issues/349) by @dyuliu
+* Add masking option for ``regression_errors`` – [Issue #352](https://github.com/signals-dev/Orion/issues/352) by @dyuliu
+* Changes in TadGAN for tensorflow 2.0 – [Issue #161](https://github.com/signals-dev/Orion/issues/161) by @lcwong0928
+* Add an automatic dependency checker – [Issue #320](https://github.com/signals-dev/Orion/issues/320) by @sarahmish
+* TadGAN ``batch_size`` cannot be changed – [Issue #313](https://github.com/signals-dev/Orion/issues/313) by @sarahmish
+## 0.3.2 - 2022-07-04
+This version fixes some of the issues in ``aer``, ``ae``, and ``tadgan`` pipelines.
+### Issues resolved
+* Fix AER model predict error after loading – [Issue #304](https://github.com/signals-dev/Orion/issues/304) by @lcwong0928
+* Update AE to work with any `window_size` – [Issue #300](https://github.com/signals-dev/Orion/issues/300) by @sarahmish
+* Updated tadgan_viz.json – [Issue #292](https://github.com/signals-dev/Orion/issues/292) by @Hramir
+## 0.3.1 - 2022-04-26
+This version introduce a new pipeline, namely ``AER``, an AutoEncoder Regressor model.
+### Issues resolved
+* Add AER Model - [Issue #286](https://github.com/signals-dev/Orion/issues/286) by @lcwong0928
+## 0.3.0 - 2022-03-31
+This version deprecates the support of ``OrionDBExplorer``, which has been migrated to
+[sintel](https://github.com/signals-dev/Orion). As a result, ``Orion`` no longer requires
+mongoDB as a dependency.
+### Issues resolved
+* Update dependency  - [Issue #283](https://github.com/signals-dev/Orion/issues/283) by @sarahmish
+* General housekeeping  - [Issue #278](https://github.com/signals-dev/Orion/issues/278) by @sarahmish
+* Fix tutorial testing issue - [Issue #276](https://github.com/signals-dev/Orion/issues/276) by @sarahmish
+* Migrate OrionExplorer to Sintel - [Issue #275](https://github.com/signals-dev/Orion/issues/275) by @dyuliu
+* LSTM viz JSON pipeline added - [Issue #271](https://github.com/signals-dev/Orion/issues/271) by @Hramir
+## 0.2.1 - 2022-02-18
+This version introduces improvements and more testing.
+### Issues resolved
+* Adjusting builds for TadGAN - [Issue #261](https://github.com/signals-dev/Orion/issues/261) by @sarahmish
+* Testing tutorials, dependencies, and OS - [Issue #251](https://github.com/signals-dev/Orion/issues/251) by @sarahmish
+## 0.2.0 - 2021-10-11
+This version supports multivariate timeseries as input. In addition to minor improvements
+and maintenance.
+### Issues resolved
+* `setuptools` no longer supports `lib2to3` breaking `mongoengine` - [Issue #252](https://github.com/signals-dev/Orion/issues/252) by @sarahmish
+* Supporting multivariate input - [Issue #248](https://github.com/signals-dev/Orion/issues/248) by @sarahmish
+* TadGAN pipeline with visualization option - [Issue #240](https://github.com/signals-dev/Orion/issues/240) by @sarahmish
+* Support saving absolute path for add_signals and add_signal when using dbExplorer - [Issue #202](https://github.com/signals-dev/Orion/issues/202) by @sarahmish
+* dynamic scalability of TadGAN primitive based on `window_size` - [Issue #87](https://github.com/signals-dev/Orion/issues/87) by @sarahmish
+## 0.1.7 - 2021-05-04
+This version adds new features to the benchmark function where users can now save pipelines, view results as they are being calculated, and allow a single evaluation to be compared multiple times.
+### Issues resolved
+* Dask issues in benchmark function & improvements - [Issue #225](https://github.com/signals-dev/Orion/issues/225) by @sarahmish
+* Numerical overflow when using contextual metrics - [Issue #212](https://github.com/signals-dev/Orion/issues/212) by @kronerte
+## 0.1.6 - 2021-03-08
+This version introduces two new pipelines: LSTM AE and Dense AE.
+In addition to minor improvements, a bit of code refactoring took place to introduce
+a new primtive: ``reconstruction_errors``.
+### Issues resolved
+* Comparison of DTW library performance - [Issue #205](https://github.com/signals-dev/Orion/issues/205) by @sarahmish
+* Not able to pickle dump tadgan pipeline - [Issue #200](https://github.com/signals-dev/Orion/issues/200) by @sarahmish
+* New pipeline LSTM and Dense autoencoders - [Issue #194](https://github.com/signals-dev/Orion/issues/194) by @sarahmish
+* Readme - [Issue #192](https://github.com/signals-dev/Orion/issues/192) by @pvk-developer
+* Unable to launch cli - [Issue #186](https://github.com/signals-dev/Orion/issues/186) by @sarahmish
+* bullet points not formatted correctly in index.rst - [Issue #178](https://github.com/signals-dev/Orion/issues/178) by @micahjsmith
+* Update notebooks - [Issue #176](https://github.com/signals-dev/Orion/issues/176) by @sarahmish
+* Inaccuracy in README.md file in orion/evaluation/ - [Issue #157](https://github.com/signals-dev/Orion/issues/157) by @sarahmish
+* Dockerfile -- docker does not find orion primitives automatically - [Issue #155](https://github.com/signals-dev/Orion/issues/155) by @sarahmish
+* Primitive documentation - [Issue #151](https://github.com/signals-dev/Orion/issues/151) by @sarahmish
+* Variable name inconsistency in tadgan - [Issue #150](https://github.com/signals-dev/Orion/issues/150) by @sarahmish
+* Sync leaderboard tables between `BENCHMARK.md` and the docs - [Issue #148](https://github.com/signals-dev/Orion/issues/148) by @sarahmish
+## 0.1.5 - 2020-12-25
+This version includes the new style of documentation and a revamp of the `README.md`. In addition to some minor improvements
+in the benchmark code and primitives. This release includes the transfer of `tadgan` pipeline to `verified`.
+### Issues resolved
+* Link with google colab - [Issue #144](https://github.com/signals-dev/Orion/issues/144) by @sarahmish
+* Add `timeseries_anomalies` unittests - [Issue #136](https://github.com/signals-dev/Orion/issues/136) by @sarahmish
+* Update `find_sequences` in converting series to arrays - [Issue #135](https://github.com/signals-dev/Orion/issues/135) by @sarahmish
+* Definition of error/critic smooth window in score anomalies primitive - [Issue #132](https://github.com/signals-dev/Orion/issues/132) by @sarahmish
+* Train-test split in benchmark enhancement - [Issue #130](https://github.com/signals-dev/Orion/issues/130) by @sarahmish
+## 0.1.4 - 2020-10-16
+Minor enhancements to benchmark
+* Load ground truth before try-catch - [Issue #124](https://github.com/signals-dev/Orion/issues/124) by @sarahmish
+* Converting timestamp to datetime in Azure primitive - [Issue #123](https://github.com/signals-dev/Orion/issues/123) by @sarahmish
+* Benchmark exceptions - [Issue #120](https://github.com/signals-dev/Orion/issues/120) by @sarahmish
+## 0.1.3 - 2020-09-29
+New benchmark and Azure primitive.
+* Implement a benchmarking function new feature - [Issue #94](https://github.com/signals-dev/Orion/issues/94) by @sarahmish
+* Add azure anomaly detection as primitive new feature - [Issue #97](https://github.com/signals-dev/Orion/issues/97) by @sarahmish
+* Critic and reconstruction error combination - [Issue #99](https://github.com/signals-dev/Orion/issues/99) by @sarahmish
+* Fixed threshold for `find_anomalies` - [Issue #101](https://github.com/signals-dev/Orion/issues/101) by @sarahmish
+* Add an option to have window size and window step size as percentages of error size - [Issue #102](https://github.com/signals-dev/Orion/issues/102) by @sarahmish
+* Organize pipelines into verified and sandbox - [Issue #105](https://github.com/signals-dev/Orion/issues/105) by @sarahmish
+* Ground truth parameter name enhancement - [Issue #114](https://github.com/signals-dev/Orion/issues/114) by @sarahmish
+* Add benchmark dataset list and parameters to s3 bucket enhancement - [Issue #118](https://github.com/signals-dev/Orion/issues/118) by @sarahmish
+## 0.1.2 - 2020-07-03
+New Evaluation sub-package and refactor TadGAN.
+* Two bugs when saving signalrun if there is no event detected - [Issue #92](https://github.com/signals-dev/Orion/issues/92) by @dyuliu 
+* File encoding/decoding issues about `README.md` and `HISTORY.md` - [Issue #88](https://github.com/signals-dev/Orion/issues/88) by @dyuliu
+* Fix bottle neck of `score_anomaly` in Cyclegan primitive - [Issue #86](https://github.com/signals-dev/Orion/issues/86) by @dyuliu
+* Adjust `epoch` meaning in Cyclegan primitive - [Issue #85](https://github.com/signals-dev/Orion/issues/85) by @sarahmish
+* Rename evaluation to benchmark and metrics to evaluation - [Issue #83](https://github.com/signals-dev/Orion/issues/83) by @sarahmish
+* Scoring function for intervals of size one - [Issue #76](https://github.com/signals-dev/Orion/issues/76) by @sarahmish
+## 0.1.1 - 2020-05-11
+New class and function based interfaces.
+* Implement the Orion Class - [Issue #79](https://github.com/D3-AI/Orion/issues/79) by @csala
+* Implement new functional interface - [Issue #80](https://github.com/D3-AI/Orion/issues/80) by @csala
+## 0.1.0 - 2020-04-23
+First Orion release to PyPI: https://pypi.org/project/orion-ml/
+
+%package help
+Summary:	Development documents and examples for orion-ml
+Provides:	python3-orion-ml-doc
+%description help
+## 0.5.0 - 2023-05-23
+This version uses ``ml-stars`` package instead of ``mlprimitives``.
+### Issues resolved
+* Migrate to ml-stars – [Issue #418](https://github.com/signals-dev/Orion/issues/418) by @sarahmish
+* Updating ``best_cost`` in ``find_anomalies`` primitive – [Issue #403](https://github.com/signals-dev/Orion/issues/403) by @sarahmish
+* Retire ``lstm_dynamic_threshold_gpu`` and ``lstm_autoencoder_gpu`` pipeline maintenance – [Issue #373](https://github.com/signals-dev/Orion/issues/373) by @sarahmish
+* Typo in xlsxwriter dependency specification – [Issue #394](https://github.com/signals-dev/Orion/issues/394) by @sarahmish
+* ``orion.evaluate`` uses fails when fitting – [Issue #384](https://github.com/signals-dev/Orion/issues/384) by @sarahmish
+* AER pipeline with visualization option – [Issue #379](https://github.com/signals-dev/Orion/issues/379) by @sarahmish
+## 0.4.1 - 2023-01-31
+### Issues resolved
+* Move VAE from sandbox to verified – [Issue #377](https://github.com/signals-dev/Orion/issues/377) by @sarahmish
+* Pin ``opencv`` – [Issue #372](https://github.com/signals-dev/Orion/issues/372) by @sarahmish
+* Pin ``scikit-learn`` – [Issue #367](https://github.com/signals-dev/Orion/issues/367) by @sarahmish
+* Fix VAE documentation – [Issue #360](https://github.com/signals-dev/Orion/issues/360) by @sarahmish
+## 0.4.0 - 2022-11-08
+This version introduces several new enhancements:
+* Support to python 3.8
+* Migrating to Tensorflow 2.0
+* New pipeline, namely ``VAE``, a Variational AutoEncoder model.
+### Issues resolved
+* Add python 3.8 – [Issue #342](https://github.com/signals-dev/Orion/issues/342) by @sarahmish
+* VAE (Variational Autoencoders) pipeline implementation – [Issue #349](https://github.com/signals-dev/Orion/issues/349) by @dyuliu
+* Add masking option for ``regression_errors`` – [Issue #352](https://github.com/signals-dev/Orion/issues/352) by @dyuliu
+* Changes in TadGAN for tensorflow 2.0 – [Issue #161](https://github.com/signals-dev/Orion/issues/161) by @lcwong0928
+* Add an automatic dependency checker – [Issue #320](https://github.com/signals-dev/Orion/issues/320) by @sarahmish
+* TadGAN ``batch_size`` cannot be changed – [Issue #313](https://github.com/signals-dev/Orion/issues/313) by @sarahmish
+## 0.3.2 - 2022-07-04
+This version fixes some of the issues in ``aer``, ``ae``, and ``tadgan`` pipelines.
+### Issues resolved
+* Fix AER model predict error after loading – [Issue #304](https://github.com/signals-dev/Orion/issues/304) by @lcwong0928
+* Update AE to work with any `window_size` – [Issue #300](https://github.com/signals-dev/Orion/issues/300) by @sarahmish
+* Updated tadgan_viz.json – [Issue #292](https://github.com/signals-dev/Orion/issues/292) by @Hramir
+## 0.3.1 - 2022-04-26
+This version introduce a new pipeline, namely ``AER``, an AutoEncoder Regressor model.
+### Issues resolved
+* Add AER Model - [Issue #286](https://github.com/signals-dev/Orion/issues/286) by @lcwong0928
+## 0.3.0 - 2022-03-31
+This version deprecates the support of ``OrionDBExplorer``, which has been migrated to
+[sintel](https://github.com/signals-dev/Orion). As a result, ``Orion`` no longer requires
+mongoDB as a dependency.
+### Issues resolved
+* Update dependency  - [Issue #283](https://github.com/signals-dev/Orion/issues/283) by @sarahmish
+* General housekeeping  - [Issue #278](https://github.com/signals-dev/Orion/issues/278) by @sarahmish
+* Fix tutorial testing issue - [Issue #276](https://github.com/signals-dev/Orion/issues/276) by @sarahmish
+* Migrate OrionExplorer to Sintel - [Issue #275](https://github.com/signals-dev/Orion/issues/275) by @dyuliu
+* LSTM viz JSON pipeline added - [Issue #271](https://github.com/signals-dev/Orion/issues/271) by @Hramir
+## 0.2.1 - 2022-02-18
+This version introduces improvements and more testing.
+### Issues resolved
+* Adjusting builds for TadGAN - [Issue #261](https://github.com/signals-dev/Orion/issues/261) by @sarahmish
+* Testing tutorials, dependencies, and OS - [Issue #251](https://github.com/signals-dev/Orion/issues/251) by @sarahmish
+## 0.2.0 - 2021-10-11
+This version supports multivariate timeseries as input. In addition to minor improvements
+and maintenance.
+### Issues resolved
+* `setuptools` no longer supports `lib2to3` breaking `mongoengine` - [Issue #252](https://github.com/signals-dev/Orion/issues/252) by @sarahmish
+* Supporting multivariate input - [Issue #248](https://github.com/signals-dev/Orion/issues/248) by @sarahmish
+* TadGAN pipeline with visualization option - [Issue #240](https://github.com/signals-dev/Orion/issues/240) by @sarahmish
+* Support saving absolute path for add_signals and add_signal when using dbExplorer - [Issue #202](https://github.com/signals-dev/Orion/issues/202) by @sarahmish
+* dynamic scalability of TadGAN primitive based on `window_size` - [Issue #87](https://github.com/signals-dev/Orion/issues/87) by @sarahmish
+## 0.1.7 - 2021-05-04
+This version adds new features to the benchmark function where users can now save pipelines, view results as they are being calculated, and allow a single evaluation to be compared multiple times.
+### Issues resolved
+* Dask issues in benchmark function & improvements - [Issue #225](https://github.com/signals-dev/Orion/issues/225) by @sarahmish
+* Numerical overflow when using contextual metrics - [Issue #212](https://github.com/signals-dev/Orion/issues/212) by @kronerte
+## 0.1.6 - 2021-03-08
+This version introduces two new pipelines: LSTM AE and Dense AE.
+In addition to minor improvements, a bit of code refactoring took place to introduce
+a new primtive: ``reconstruction_errors``.
+### Issues resolved
+* Comparison of DTW library performance - [Issue #205](https://github.com/signals-dev/Orion/issues/205) by @sarahmish
+* Not able to pickle dump tadgan pipeline - [Issue #200](https://github.com/signals-dev/Orion/issues/200) by @sarahmish
+* New pipeline LSTM and Dense autoencoders - [Issue #194](https://github.com/signals-dev/Orion/issues/194) by @sarahmish
+* Readme - [Issue #192](https://github.com/signals-dev/Orion/issues/192) by @pvk-developer
+* Unable to launch cli - [Issue #186](https://github.com/signals-dev/Orion/issues/186) by @sarahmish
+* bullet points not formatted correctly in index.rst - [Issue #178](https://github.com/signals-dev/Orion/issues/178) by @micahjsmith
+* Update notebooks - [Issue #176](https://github.com/signals-dev/Orion/issues/176) by @sarahmish
+* Inaccuracy in README.md file in orion/evaluation/ - [Issue #157](https://github.com/signals-dev/Orion/issues/157) by @sarahmish
+* Dockerfile -- docker does not find orion primitives automatically - [Issue #155](https://github.com/signals-dev/Orion/issues/155) by @sarahmish
+* Primitive documentation - [Issue #151](https://github.com/signals-dev/Orion/issues/151) by @sarahmish
+* Variable name inconsistency in tadgan - [Issue #150](https://github.com/signals-dev/Orion/issues/150) by @sarahmish
+* Sync leaderboard tables between `BENCHMARK.md` and the docs - [Issue #148](https://github.com/signals-dev/Orion/issues/148) by @sarahmish
+## 0.1.5 - 2020-12-25
+This version includes the new style of documentation and a revamp of the `README.md`. In addition to some minor improvements
+in the benchmark code and primitives. This release includes the transfer of `tadgan` pipeline to `verified`.
+### Issues resolved
+* Link with google colab - [Issue #144](https://github.com/signals-dev/Orion/issues/144) by @sarahmish
+* Add `timeseries_anomalies` unittests - [Issue #136](https://github.com/signals-dev/Orion/issues/136) by @sarahmish
+* Update `find_sequences` in converting series to arrays - [Issue #135](https://github.com/signals-dev/Orion/issues/135) by @sarahmish
+* Definition of error/critic smooth window in score anomalies primitive - [Issue #132](https://github.com/signals-dev/Orion/issues/132) by @sarahmish
+* Train-test split in benchmark enhancement - [Issue #130](https://github.com/signals-dev/Orion/issues/130) by @sarahmish
+## 0.1.4 - 2020-10-16
+Minor enhancements to benchmark
+* Load ground truth before try-catch - [Issue #124](https://github.com/signals-dev/Orion/issues/124) by @sarahmish
+* Converting timestamp to datetime in Azure primitive - [Issue #123](https://github.com/signals-dev/Orion/issues/123) by @sarahmish
+* Benchmark exceptions - [Issue #120](https://github.com/signals-dev/Orion/issues/120) by @sarahmish
+## 0.1.3 - 2020-09-29
+New benchmark and Azure primitive.
+* Implement a benchmarking function new feature - [Issue #94](https://github.com/signals-dev/Orion/issues/94) by @sarahmish
+* Add azure anomaly detection as primitive new feature - [Issue #97](https://github.com/signals-dev/Orion/issues/97) by @sarahmish
+* Critic and reconstruction error combination - [Issue #99](https://github.com/signals-dev/Orion/issues/99) by @sarahmish
+* Fixed threshold for `find_anomalies` - [Issue #101](https://github.com/signals-dev/Orion/issues/101) by @sarahmish
+* Add an option to have window size and window step size as percentages of error size - [Issue #102](https://github.com/signals-dev/Orion/issues/102) by @sarahmish
+* Organize pipelines into verified and sandbox - [Issue #105](https://github.com/signals-dev/Orion/issues/105) by @sarahmish
+* Ground truth parameter name enhancement - [Issue #114](https://github.com/signals-dev/Orion/issues/114) by @sarahmish
+* Add benchmark dataset list and parameters to s3 bucket enhancement - [Issue #118](https://github.com/signals-dev/Orion/issues/118) by @sarahmish
+## 0.1.2 - 2020-07-03
+New Evaluation sub-package and refactor TadGAN.
+* Two bugs when saving signalrun if there is no event detected - [Issue #92](https://github.com/signals-dev/Orion/issues/92) by @dyuliu 
+* File encoding/decoding issues about `README.md` and `HISTORY.md` - [Issue #88](https://github.com/signals-dev/Orion/issues/88) by @dyuliu
+* Fix bottle neck of `score_anomaly` in Cyclegan primitive - [Issue #86](https://github.com/signals-dev/Orion/issues/86) by @dyuliu
+* Adjust `epoch` meaning in Cyclegan primitive - [Issue #85](https://github.com/signals-dev/Orion/issues/85) by @sarahmish
+* Rename evaluation to benchmark and metrics to evaluation - [Issue #83](https://github.com/signals-dev/Orion/issues/83) by @sarahmish
+* Scoring function for intervals of size one - [Issue #76](https://github.com/signals-dev/Orion/issues/76) by @sarahmish
+## 0.1.1 - 2020-05-11
+New class and function based interfaces.
+* Implement the Orion Class - [Issue #79](https://github.com/D3-AI/Orion/issues/79) by @csala
+* Implement new functional interface - [Issue #80](https://github.com/D3-AI/Orion/issues/80) by @csala
+## 0.1.0 - 2020-04-23
+First Orion release to PyPI: https://pypi.org/project/orion-ml/
+
+%prep
+%autosetup -n orion-ml-0.5.0
+
+%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-orion-ml -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.5.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..59f666c
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+1e7b8b967513cd953a687fe75fec8d48  orion-ml-0.5.0.tar.gz