Eizen Observability
  • Eizen Observability
  • Why Eizen Observability?
  • Get Started
  • Model Categories
  • Model Types
  • Model Observability
    • Model Overview
    • Model Performance
    • Data Drift
    • Retraining Modes
    • Explainability
    • Versions
  • Glossary
    • Machine Learning
    • Evaluation Metrics
  • Resources
    • Product FAQs
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  • Model Health
  • Model Updates
  1. Model Observability

Model Overview

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Last updated 2 years ago

Gives a short description of the model, what it does, deployed by, deployed on, number of model versions, current version, retraining mode and baseline dataset which are editable.

Model Health

Model Health is determined by the evaluation metrics of that particular model. The time component is used to check the metrics in different time periods.

Model Updates

Model updates are notifications of the model on retraining and annotations.