%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 - 0.5.0-1 - Package Spec generated