mlflow.exceptions
- exception mlflow.exceptions.MlflowException(message, error_code=1, **kwargs)
- Generic exception thrown when an MLflow operation fails 
- exception mlflow.exceptions.ExecutionException(message, error_code=1, **kwargs)[source]
- Bases: - mlflow.exceptions.MlflowException- Exception thrown when executing a project fails 
- exception mlflow.exceptions.InvalidUrlException(message, error_code=1, **kwargs)[source]
- Bases: - mlflow.exceptions.MlflowException- Exception thrown when a http request fails to send due to an invalid URL 
- exception mlflow.exceptions.MissingConfigException(message, error_code=1, **kwargs)[source]
- Bases: - mlflow.exceptions.MlflowException- Exception thrown when expected configuration file/directory not found 
- exception mlflow.exceptions.MlflowTraceDataCorrupted(request_id: Optional[str] = None, artifact_path: Optional[str] = None)[source]
- Bases: - mlflow.exceptions.MlflowTraceDataException- Exception thrown when trace data is corrupted 
- exception mlflow.exceptions.MlflowTraceDataException(error_code: str, request_id: Optional[str] = None, artifact_path: Optional[str] = None)[source]
- Bases: - mlflow.exceptions.MlflowTracingException- Exception thrown for trace data related error 
- exception mlflow.exceptions.MlflowTraceDataNotFound(request_id: Optional[str] = None, artifact_path: Optional[str] = None)[source]
- Bases: - mlflow.exceptions.MlflowTraceDataException- Exception thrown when trace data is not found 
- exception mlflow.exceptions.MlflowTracingException(message, error_code=1)[source]
- Bases: - mlflow.exceptions.MlflowException- Exception thrown from tracing logic - Tracing logic should not block the main execution flow in general, hence this exception is used to distinguish tracing related errors and handle them properly. 
- exception mlflow.exceptions.RestException(json)[source]
- Bases: - mlflow.exceptions.MlflowException- Exception thrown on non 200-level responses from the REST API 
- mlflow.exceptions.get_error_code(http_status)[source]