Deepchecks

➺ Testing Categories:

  • Data validation
  • Model validation
  • Performance validation
  • Production monitoring 

    • ➺ Framework Structure:

    Check Types 
  • Data integrity
  • Model drift
  • Bias detection
  • Performance degradation 

    • ➺ Validation Suites:

  • Dataset checks
  • Model checks
  • Production checks
  • Custom checks 

    • ➺ Monitoring Systems:

  • Real-time alerts
  • Performance tracking
  • Error detection
  • Quality gates 

    • ➺ Usage Example:

    python

    # Deepchecks implementation from deepchecks.nlp import Suite

    validation_suite = Suite(
    checks=[
    DataDriftCheck(),
    ModelDriftCheck(),
    PerformanceCheck()
    ]
    )