Allows users to define model monitoring parameters.

Description of the illustration anolmodel10.png

• Run Date:
  • A dropdown to select the scheduled monitoring run date.
• Run Frequency (Months):
  • Defines how often the model should be monitored.
  • Make sure training data consists data in range of frequency(For an instance if you set 180 days, then the training data should have data ranging in last 180 days)
  • Example: Every 6 months or quarterly.
• Historic Window (Days):
  • Specifies how much past data should be considered for anomaly monitoring.
  • Example: "Last 90 days."
• Date Column:
  • The column used for time-based tracking of anomalies.
• Drift Reference:
  • Displays data drift detection results.
  • Initially empty but fills once monitoring is active.
• Scheduled Date:
  • Displays the next scheduled model monitoring date.
• Drift:
  • Shows whether significant changes in data distribution have been detected.
• Re-Training Required:
  • Indicates if the model requires retraining due to data drift or performance decline.
• Re-Trained:
  • Displays whether the model has been successfully retrained.
• Running Model:
  • Shows the status of the currently active model version.
• Drift Details:
  • Provides additional information on detected data drift and its impact on model performance.
• Save Button:
  • Saves the monitoring configuration settings.
• Cancel Button:
  • Exits without saving any changes.