• Update minimum test images – Issue #563 by @sarahmish
• Update benchmark – Issue #538 by @sarahmish
• Pin MacOS Version in GH Actions – Issue #535 by @sarahmish
• Add anomaly transformer method – Issue #452 by @sarahmish

Support for python 3.10 and 3.11

• Update test_core file – Issue #507 by @sarahmish
• update ARIMA primitive and pipeline – Issue #503 by @sarahmish
• Update Dependency – Issue #497 & Issue #499 by @sarahmish
• Update Python for Dependency Test – Issue #484 by @sarahmish
• Add python 3.10 and 3.11 & drop 3.6 and 3.7 – Issue #477 by @sarahmish
• LNN Pipeline – Issue #475 by @sarahmish

Support for python 3.9 and new Matrix Profile pipeline

• Send pipeline names in benchmark arguments – Issue #466 by @sarahmish
• Add continuation parameter for benchmark – Issue #464 by @sarahmish
• Fix references in documentation – Issue #453 by @sarahmish
• Update documentation – Issue #448 by @sarahmish
• Add matrix profiling method – Issue #446 by @sarahmish
• Support python 3.9 – Issue #408 by @sarahmish

This version introduces a new dataset to the benchmark.

• Add UCR dataset to the benchmark – Issue #443 by @sarahmish
• docker image build failed – Issue #439 by @sarahmish
• Edit interval settings in azure pipeline – Issue #436 by @sarahmish

This version uses ml-stars package instead of mlprimitives.

• Migrate to ml-stars – Issue #418 by @sarahmish
• Updating best_cost in find_anomalies primitive – Issue #403 by @sarahmish
• Retire lstm_dynamic_threshold_gpu and lstm_autoencoder_gpu pipeline maintenance – Issue #373 by @sarahmish
• Typo in xlsxwriter dependency specification – Issue #394 by @sarahmish
• orion.evaluate uses fails when fitting – Issue #384 by @sarahmish
• AER pipeline with visualization option – Issue #379 by @sarahmish

• Move VAE from sandbox to verified – Issue #377 by @sarahmish
• Pin opencv – Issue #372 by @sarahmish
• Pin scikit-learn – Issue #367 by @sarahmish
• Fix VAE documentation – Issue #360 by @sarahmish

This version introduces several new enhancements:

• Support to python 3.8
• Migrating to Tensorflow 2.0
• New pipeline, namely VAE, a Variational AutoEncoder model.

• Add python 3.8 – Issue #342 by @sarahmish
• VAE (Variational Autoencoders) pipeline implementation – Issue #349 by @dyuliu
• Add masking option for regression_errors – Issue #352 by @dyuliu
• Changes in TadGAN for tensorflow 2.0 – Issue #161 by @lcwong0928
• Add an automatic dependency checker – Issue #320 by @sarahmish
• TadGAN batch_size cannot be changed – Issue #313 by @sarahmish

This version fixes some of the issues in aer, ae, and tadgan pipelines.

• Fix AER model predict error after loading – Issue #304 by @lcwong0928
• Update AE to work with any window_size – Issue #300 by @sarahmish
• Updated tadgan_viz.json – Issue #292 by @Hramir

This version introduce a new pipeline, namely AER, an AutoEncoder Regressor model.

• Add AER Model - Issue #286 by @lcwong0928

This version deprecates the support of OrionDBExplorer, which has been migrated to sintel. As a result, Orion no longer requires mongoDB as a dependency.

• Update dependency - Issue #283 by @sarahmish
• General housekeeping - Issue #278 by @sarahmish
• Fix tutorial testing issue - Issue #276 by @sarahmish
• Migrate OrionExplorer to Sintel - Issue #275 by @dyuliu
• LSTM viz JSON pipeline added - Issue #271 by @Hramir

This version introduces improvements and more testing.

• Adjusting builds for TadGAN - Issue #261 by @sarahmish
• Testing tutorials, dependencies, and OS - Issue #251 by @sarahmish

This version supports multivariate timeseries as input. In addition to minor improvements and maintenance.

• setuptools no longer supports lib2to3 breaking mongoengine - Issue #252 by @sarahmish
• Supporting multivariate input - Issue #248 by @sarahmish
• TadGAN pipeline with visualization option - Issue #240 by @sarahmish
• Support saving absolute path for add_signals and add_signal when using dbExplorer - Issue #202 by @sarahmish
• dynamic scalability of TadGAN primitive based on window_size - Issue #87 by @sarahmish

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.

• Dask issues in benchmark function & improvements - Issue #225 by @sarahmish
• Numerical overflow when using contextual metrics - Issue #212 by @kronerte

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.

• Comparison of DTW library performance - Issue #205 by @sarahmish
• Not able to pickle dump tadgan pipeline - Issue #200 by @sarahmish
• New pipeline LSTM and Dense autoencoders - Issue #194 by @sarahmish
• Readme - Issue #192 by @pvk-developer
• Unable to launch cli - Issue #186 by @sarahmish
• bullet points not formatted correctly in index.rst - Issue #178 by @micahjsmith
• Update notebooks - Issue #176 by @sarahmish
• Inaccuracy in README.md file in orion/evaluation/ - Issue #157 by @sarahmish
• Dockerfile -- docker does not find orion primitives automatically - Issue #155 by @sarahmish
• Primitive documentation - Issue #151 by @sarahmish
• Variable name inconsistency in tadgan - Issue #150 by @sarahmish
• Sync leaderboard tables between BENCHMARK.md and the docs - Issue #148 by @sarahmish

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.

• Link with google colab - Issue #144 by @sarahmish
• Add timeseries_anomalies unittests - Issue #136 by @sarahmish
• Update find_sequences in converting series to arrays - Issue #135 by @sarahmish
• Definition of error/critic smooth window in score anomalies primitive - Issue #132 by @sarahmish
• Train-test split in benchmark enhancement - Issue #130 by @sarahmish

Minor enhancements to benchmark

• Load ground truth before try-catch - Issue #124 by @sarahmish
• Converting timestamp to datetime in Azure primitive - Issue #123 by @sarahmish
• Benchmark exceptions - Issue #120 by @sarahmish

New benchmark and Azure primitive.

• Implement a benchmarking function new feature - Issue #94 by @sarahmish
• Add azure anomaly detection as primitive new feature - Issue #97 by @sarahmish
• Critic and reconstruction error combination - Issue #99 by @sarahmish
• Fixed threshold for find_anomalies - Issue #101 by @sarahmish
• Add an option to have window size and window step size as percentages of error size - Issue #102 by @sarahmish
• Organize pipelines into verified and sandbox - Issue #105 by @sarahmish
• Ground truth parameter name enhancement - Issue #114 by @sarahmish
• Add benchmark dataset list and parameters to s3 bucket enhancement - Issue #118 by @sarahmish

New Evaluation sub-package and refactor TadGAN.

• Two bugs when saving signalrun if there is no event detected - Issue #92 by @dyuliu 
• File encoding/decoding issues about README.md and HISTORY.md - Issue #88 by @dyuliu
• Fix bottle neck of score_anomaly in Cyclegan primitive - Issue #86 by @dyuliu
• Adjust epoch meaning in Cyclegan primitive - Issue #85 by @sarahmish
• Rename evaluation to benchmark and metrics to evaluation - Issue #83 by @sarahmish
• Scoring function for intervals of size one - Issue #76 by @sarahmish

New class and function based interfaces.

• Implement the Orion Class - Issue #79 by @csala
• Implement new functional interface - Issue #80 by @csala

First Orion release to PyPI: https://pypi.org/project/orion-ml/