AD2S experiments

# AD2S Official repo for "AD2S: Adaptive Anomaly Detection on Sporadic Data Streams" ## Installing dependencies To install the defined dependencies for this project, just run the install command ```bash # Install the poetry package manager curl -sSL https://install.python-poetry.org | python3 - # And then install the dependencies poetry install ``` ## Generate the synthetic dataset Before you generate the synthetic dataset, you need to config the `root_path` of this project in the `utils/syn_config.yaml` file. You can also use the data directly from the `data` folder. To generate the synthetic dataset, run the following command ```bash python utils/synthetic.py --multirun data.synthetic_ds=1,2,3,4 ``` This will generate the 4 different synthetic datasets defined in the paper. The generated datasets will be stored in the `data` folder. Or, you can generate a single dataset by running the following command after setting the `data.synthetic_ds` flag to the desired dataset number. ```bash python utils/synthetic.py ``` ## Tutorial We provide a quick tutorial on how to use the code in this repo. The tutorial is available in the `tutorial.ipynb`. You can follow the anomaly scores and parameters that you're interested in. ## Case Study Case study can be found in `experiments/case_study.ipynb`   ## Experiments ``` experiments ├── ablation ├── case_study ├── comparison ├── concept_drift ├── parameters_init_p └── parameters_n_chains ``` All the experiments can be found in the `experiments` folder, including the ablation study, comparison with other methods, and the effect of the parameters. All the source code and results are listed in the corresponding folders.