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
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/