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]