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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
|
