Class CustomTuningModel (0.12.0)

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

Metadata that describes a custom tuned model.

Attributes
Name	Description
`name`	`str` Required. The fully qualified resource name of the model. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}/customTuningModels/{custom_tuning_model}` model must be an alpha-numerical string with limit of 40 characters.
`display_name`	`str` The display name of the model.
`model_version`	`int` The version of the model.
`model_state`	`google.cloud.discoveryengine_v1beta.types.CustomTuningModel.ModelState` The state that the model is in (e.g.`TRAINING` or `TRAINING_FAILED`).
`create_time`	`google.protobuf.timestamp_pb2.Timestamp` Timestamp the Model was created at.
`training_start_time`	`google.protobuf.timestamp_pb2.Timestamp` Timestamp the model training was initiated.
`metrics`	`MutableMapping[str, float]` The metrics of the trained model.

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.

ModelState(value)

The state of the model.