Class TrainCustomModelResponse (0.12.3)

TrainCustomModelResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response of the TrainCustomModelRequest. This message is returned by the google.longrunning.Operations.response field.

Attributes
Name	Description
`error_samples`	`MutableSequence[google.rpc.status_pb2.Status]` A sample of errors encountered while processing the data.
`error_config`	`google.cloud.discoveryengine_v1.types.ImportErrorConfig` Echoes the destination for the complete errors in the request if set.
`model_status`	`str` The trained model status. Possible values are: - bad-data: The training data quality is bad. - no-improvement: Tuning didn't improve performance. Won't deploy. - in-progress: Model training job creation is in progress. - training: Model is actively training. - evaluating: The model is evaluating trained metrics. - indexing: The model trained metrics are indexing. - ready: The model is ready for serving.
`metrics`	`MutableMapping[str, float]` The metrics of the trained model.
`model_name`	`str` Fully qualified name of the CustomTuningModel.

Classes

MetricsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters
Name	Description
`kwargs`	`dict` Keys and values corresponding to the fields of the message.
`mapping`	`Union[dict, .Message]` A dictionary or message to be used to determine the values for this message.
`ignore_unknown_fields`	`Optional(bool)` If True, do not raise errors for unknown fields. Only applied if `mapping` is a mapping type or there are keyword parameters.