Class EvaluateDatasetRequest (1.86.0)

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

Request message for EvaluationService.EvaluateDataset.

Attributes

Name Description
location str
Required. The resource name of the Location to evaluate the dataset. Format: projects/{project}/locations/{location}
dataset google.cloud.aiplatform_v1beta1.types.EvaluationDataset
Required. The dataset used for evaluation.
metrics MutableSequence[google.cloud.aiplatform_v1beta1.types.Metric]
Required. The metrics used for evaluation.
output_config google.cloud.aiplatform_v1beta1.types.OutputConfig
Required. Config for evaluation output.
autorater_config google.cloud.aiplatform_v1beta1.types.AutoraterConfig
Optional. Autorater config used for evaluation. Currently only publisher Gemini models are supported. Format: projects/{PROJECT}/locations/{LOCATION}/publishers/google/models/{MODEL}.

Methods

EvaluateDatasetRequest

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

Request message for EvaluationService.EvaluateDataset.