# Bagel

**Repository Path**: liuzhaopk/Bagel

## Basic Information

- **Project Name**: Bagel
- **Description**: No description available
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-07-23
- **Last Updated**: 2024-07-23

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Bagel
The implementation of 'Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder'
Models are in `model.py`.

# Dependencies
python >= 3.7

``` bash
pip install -r requirements.txt
```


# Run
``` bash
python main.py
```

# Citation
Li, Zeyan, Wenxiao Chen, and Dan Pei. "Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder." 2018 IEEE 37th International Performance Computing and Communications Conference (IPCCC). IEEE, 2018.

``` bibtex
@inproceedings{li2018robust,
  title={Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder},
  author={Li, Zeyan and Chen, Wenxiao and Pei, Dan},
  booktitle={2018 IEEE 37th International Performance Computing and Communications Conference (IPCCC)},
  pages={1--9},
  year={2018},
  organization={IEEE}
}
```