ML Experiment Testing

ML Experiment Testing: Experiment assignment, metrics, and statistical validation.

[
  {
    "error_code": "SYNTH-ML-EXPERIMENT-TEST-001",
    "description": "Synthetic Experiment assignment, metrics, and statistical validation scenario 001: a topic-specific operation failed validation or execution.",
    "programmatic_fix": "Validate the Experiment assignment, metrics, and statistical validation inputs and configuration, handle SYNTH-ML-EXPERIMENT-TEST-001 explicitly, and retry only when the operation is idempotent."
  },
  {
    "error_code": "SYNTH-ML-EXPERIMENT-TEST-002",
    "description": "Synthetic Experiment assignment, metrics, and statistical validation scenario 002: a topic-specific operation failed validation or execution.",
    "programmatic_fix": "Validate the Experiment assignment, metrics, and statistical validation inputs and configuration, handle SYNTH-ML-EXPERIMENT-TEST-002 explicitly, and retry only when the operation is idempotent."
  },
  {
    "error_code": "SYNTH-ML-EXPERIMENT-TEST-003",
    "description": "Synthetic Experiment assignment, metrics, and statistical validation scenario 003: a topic-specific operation failed validation or execution.",
    "programmatic_fix": "Validate the Experiment assignment, metrics, and statistical validation inputs and configuration, handle SYNTH-ML-EXPERIMENT-TEST-003 explicitly, and retry only when the operation is idempotent."
  }
]