# smap_wadi

**Repository Path**: enderbyendera/smap_wadi

## Basic Information

- **Project Name**: smap_wadi
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: GPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-11-12
- **Last Updated**: 2022-05-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# smap_wadi

#### Introduction
This is a repo for reproduction of the models used for multivariate time-series anomaly detection.

There are 8 models already reproduced: AutoEncoder, LSTM-VAE, DAGMM, GDN, USAD, OmniAnomaly, MSCRED and MTAD-GAT

It can be used for 5 datasets: SMAP, WADI, SMD, SWAT and MSL

#### Usage
To create the conda environment, use script/create_env.sh to create a new conda env:
```sh
./script/create_env.sh
```

To install all the required packages, use script/install.sh to install all the packages:
```sh
./script/install.sh
```

To run the models, use script/run.sh to run the code:
```sh
./script/run.sh
```

or you can also run the code by directly run main.py. You can search for help by using "python main.py -h" to get more help about usage