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AnomalyDetection.ml
  • Welcome!
  • Installation and Use
    • 1. Prerequisite
    • 2. Installation and Usage
      • 2.1 Model Training
      • 2.2 Customization
    • 3. Deployment and Usage
      • 3.1 Inference
      • 3.2 Monitoring
  • Reference
    • API reference
      • Alive
      • Test
      • Retrain
      • Predict
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  1. Installation and Use

1. Prerequisite

Requirements

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Last updated 1 year ago

Hardware:

Our solutions was developed with minial requirements. given the use of non deep learning algorithms there are no hard hardware requirements. for relative small amounts of data a VM with 4C CPU and 8GB ram are more than enough. If you are eager to use our auto encoder implementation we recommend a more sophisticated system with at least 16GB VRAM.

Software: We recommend the deploymend via Docker. Altough a baremetal deployment is possible, we designed our solution with containerization in mind. Our solution is a statless inference system. Theres no additional software needed, nor do we use additional docker containers.

Test-system: Ubuntu 22.04 with docker / docker-compose.

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