mlflow.exceptions
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exception
mlflow.exceptions.MlflowException(message, error_code=1, **kwargs) Generic exception thrown when an MLflow operation fails
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exception
mlflow.exceptions.ExecutionException(message, error_code=1, **kwargs)[source] Bases:
mlflow.exceptions.MlflowExceptionException thrown when executing a project fails
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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
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exception
mlflow.exceptions.MissingConfigException(message, error_code=1, **kwargs)[source] Bases:
mlflow.exceptions.MlflowExceptionException thrown when expected configuration file/directory not found
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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
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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
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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
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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.
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exception
mlflow.exceptions.RestException(json)[source] Bases:
mlflow.exceptions.MlflowExceptionException thrown on non 200-level responses from the REST API
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mlflow.exceptions.get_error_code(http_status)[source]