TrainCustomModelResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Response of the TrainCustomModelRequest. This message is returned by the google.longrunning.Operations.response field.
Attributes |
|
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Name | Description |
error_samples |
MutableSequence[google.rpc.status_pb2.Status]
A sample of errors encountered while processing the data. |
error_config |
google.cloud.discoveryengine_v1alpha.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. |
Classes
MetricsEntry
MetricsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)
The abstract base class for a message.
Parameters | |
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Name | Description |
kwargs |
dict
Keys and values corresponding to the fields of the message. |
mapping |
Union[dict,
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 |