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
andHISTORY.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/