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.MlflowExceptionException thrown when executing a project fails
- exception mlflow.exceptions.InvalidUrlException(message, error_code=1, **kwargs)[source]
Bases:
mlflow.exceptions.MlflowExceptionException 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.MlflowExceptionException thrown when expected configuration file/directory not found
- exception mlflow.exceptions.MlflowNotImplementedException(message='')[source]
Bases:
mlflow.exceptions.MlflowExceptionException thrown when a feature is not implemented
- exception mlflow.exceptions.MlflowTraceDataCorrupted(request_id: Optional[str] = None, artifact_path: Optional[str] = None)[source]
Bases:
mlflow.exceptions.MlflowTraceDataExceptionException 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.MlflowTracingExceptionException thrown for trace data related error
- exception mlflow.exceptions.MlflowTraceDataNotFound(request_id: Optional[str] = None, artifact_path: Optional[str] = None)[source]
Bases:
mlflow.exceptions.MlflowTraceDataExceptionException thrown when trace data is not found
- exception mlflow.exceptions.MlflowTracingException(message, error_code=1)[source]
Bases:
mlflow.exceptions.MlflowExceptionException 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.MlflowExceptionException thrown on non 200-level responses from the REST API
- mlflow.exceptions.get_error_code(http_status)[source]