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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
  2. 3. Deployment and Usage

3.2 Monitoring

monitoring and results

Previous3.1 InferenceNextAPI reference

Last updated 1 year ago

As a stand alone solution, we do not offer any UI to monitor results. At this point the system creates per day a single csv file, containing the results of transactions given to the inference. These files are stored locally in the docker and can be extracted respectively.

we are working on a Weights & Biases add-on, to support the monitoring and tracking of training and inferencing activities.

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