Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::PredefinedMetricSpec.
The spec for a pre-defined metric.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#metric_spec_name
def metric_spec_name() -> ::String
Returns
- (::String) — Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
#metric_spec_name=
def metric_spec_name=(value) -> ::String
Parameter
- value (::String) — Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
Returns
- (::String) — Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
#metric_spec_parameters
def metric_spec_parameters() -> ::Google::Protobuf::Struct
Returns
- (::Google::Protobuf::Struct) — Optional. The parameters needed to run the pre-defined metric.
#metric_spec_parameters=
def metric_spec_parameters=(value) -> ::Google::Protobuf::Struct
Parameter
- value (::Google::Protobuf::Struct) — Optional. The parameters needed to run the pre-defined metric.
Returns
- (::Google::Protobuf::Struct) — Optional. The parameters needed to run the pre-defined metric.