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make release-tag: Merge branch 'master' into stable
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.github/workflows/tests.yml

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matrix:
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python-version: [3.6, 3.7, 3.8]
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os: [ubuntu-20.04, macos-latest]
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exclude:
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- os: macos-latest
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python-version: '3.7'
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steps:
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- uses: actions/checkout@v1
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- name: Set up Python ${{ matrix.python-version }}
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python-version: [3.6, 3.7, 3.8]
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exclude:
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python-version: '3.7'
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exclude:
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python-version: '3.7'
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os: [ubuntu-20.04, macos-latest, windows-latest]
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exclude:
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python-version: '3.7'
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HISTORY.md

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History
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=======
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## 0.5.1 - 2023-08-16
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This version introduces a new dataset to the benchmark.
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### Issues resolved
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* Add UCR dataset to the benchmark – [Issue #443](https://github.com/signals-dev/Orion/issues/443) by @sarahmish
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* docker image build failed – [Issue #439](https://github.com/signals-dev/Orion/issues/439) by @sarahmish
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* Edit interval settings in ``azure`` pipeline – [Issue #436](https://github.com/signals-dev/Orion/issues/436) by @sarahmish
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## 0.5.0 - 2023-05-23
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This version uses ``ml-stars`` package instead of ``mlprimitives``.

README.md

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# Leaderboard
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In every release, we run Orion benchmark. We maintain an up-to-date leaderboard with the current scoring of the verified pipelines according to the benchmarking procedure.
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We run the benchmark on **11** datasets with their known grounth truth. We record the score of the pipelines on each datasets. To compute the leaderboard table, we showcase the number of wins each pipeline has over the ARIMA pipeline.
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We run the benchmark on **12** datasets with their known grounth truth. We record the score of the pipelines on each datasets. To compute the leaderboard table, we showcase the number of wins each pipeline has over the ARIMA pipeline.
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| Pipeline | Outperforms ARIMA |
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|---------------------------|--------------------|
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| AER | 10 |
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| AER | 11 |
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| TadGAN | 7 |
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| LSTM Dynamic Thresholding | 7 |
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| LSTM Autoencoder | 6 |
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| Dense Autoencoder | 6 |
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| VAE | 6 |
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| [GANF](https://arxiv.org/pdf/2202.07857.pdf) | 6 |
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| LSTM Autoencoder | 8 |
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| Dense Autoencoder | 7 |
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| VAE | 7 |
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| [GANF](https://arxiv.org/pdf/2202.07857.pdf) | 7 |
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| [Azure](https://azure.microsoft.com/en-us/products/cognitive-services/anomaly-detector/) | 0 |
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benchmark/leaderboard.md

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| Pipeline | Outperforms ARIMA |
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|---------------------------|--------------------|
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| AER | 10 |
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| AER | 11 |
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| TadGAN | 7 |
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| LSTM Dynamic Thresholding | 7 |
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| LSTM Autoencoder | 6 |
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| Dense Autoencoder | 6 |
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| VAE | 6 |
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| GANF | 6 |
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| LSTM Autoencoder | 8 |
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| Dense Autoencoder | 7 |
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| VAE | 7 |
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| GANF | 7 |
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| Azure | 0 |

benchmark/leaderboard.xlsx

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benchmark/results/0.3.2.csv

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benchmark/results/0.5.0.csv

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benchmark/results/0.5.1.csv

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docker/orion-jupyter.Dockerfile

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RUN pip install -e /app && pip install jupyter
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COPY orion /app/orion
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COPY notebooks /app/notebooks
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RUN mkdir -p /app/orion/notebooks/data \
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&& cd /app/orion/notebooks/data \
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&& wget https://d3-ai-orion.s3.amazonaws.com/S-1.csv \
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&& wget https://d3-ai-orion.s3.amazonaws.com/S-2.csv \
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&& wget https://d3-ai-orion.s3.amazonaws.com/E-1.csv \
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&& wget https://d3-ai-orion.s3.amazonaws.com/P-1.csv \
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COPY tutorials /app/tutorials
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RUN mkdir -p /app/orion/tutorials/data \
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&& cd /app/orion/tutorials/data \
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&& wget https://sintel-orion.s3.amazonaws.com/S-1.csv \
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&& wget https://sintel-orion.s3.amazonaws.com/S-2.csv \
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&& wget https://sintel-orion.s3.amazonaws.com/E-1.csv \
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&& wget https://sintel-orion.s3.amazonaws.com/P-1.csv \
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&& mkdir -p /app/orion/data \
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&& cd /app/orion/data \
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&& wget https://d3-ai-orion.s3.amazonaws.com/anomalies.csv \
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&& cp /app/orion/notebooks/data/* .
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&& wget https://sintel-orion.s3.amazonaws.com/anomalies.csv \
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&& cp /app/orion/tutorials/data/* .
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RUN adduser jupyter --uid 1000 --disabled-password --system && chown -R jupyter /app
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docker/package.sh

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# Download the demo data inside the new repository
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cd Orion
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wget https://d3-ai-orion.s3.amazonaws.com/B-1.csv
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wget https://sintel-orion.s3.amazonaws.com/B-1.csv
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mkdir -p notebooks/data
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cd notebooks/data
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wget https://d3-ai-orion.s3.amazonaws.com/S-1.csv
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wget https://d3-ai-orion.s3.amazonaws.com/S-2.csv
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wget https://d3-ai-orion.s3.amazonaws.com/E-1.csv
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wget https://d3-ai-orion.s3.amazonaws.com/P-1.csv
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mkdir -p tutorials/data
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cd tutorials/data
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wget https://sintel-orion.s3.amazonaws.com/S-1.csv
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wget https://sintel-orion.s3.amazonaws.com/S-2.csv
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wget https://sintel-orion.s3.amazonaws.com/E-1.csv
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wget https://sintel-orion.s3.amazonaws.com/P-1.csv
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cd ../..
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mkdir -p orion/data
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cp notebooks/data/* orion/data
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cp tutorials/data/* orion/data
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cd orion/data
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wget https://d3-ai-orion.s3.amazonaws.com/anomalies.csv
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wget https://sintel-orion.s3.amazonaws.com/anomalies.csv
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cd ../../../
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