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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::PairwiseSummarizationQualityInstance.
Spec for pairwise summarization quality instance.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#baseline_prediction
def baseline_prediction() -> ::String
Returns
- (::String) — Required. Output of the baseline model.
#baseline_prediction=
def baseline_prediction=(value) -> ::String
Parameter
- value (::String) — Required. Output of the baseline model.
Returns
- (::String) — Required. Output of the baseline model.
#context
def context() -> ::String
Returns
- (::String) — Required. Text to be summarized.
#context=
def context=(value) -> ::String
Parameter
- value (::String) — Required. Text to be summarized.
Returns
- (::String) — Required. Text to be summarized.
#instruction
def instruction() -> ::String
Returns
- (::String) — Required. Summarization prompt for LLM.
#instruction=
def instruction=(value) -> ::String
Parameter
- value (::String) — Required. Summarization prompt for LLM.
Returns
- (::String) — Required. Summarization prompt for LLM.
#prediction
def prediction() -> ::String
Returns
- (::String) — Required. Output of the candidate model.
#prediction=
def prediction=(value) -> ::String
Parameter
- value (::String) — Required. Output of the candidate model.
Returns
- (::String) — Required. Output of the candidate model.
#reference
def reference() -> ::String
Returns
- (::String) — Optional. Ground truth used to compare against the prediction.
#reference=
def reference=(value) -> ::String
Parameter
- value (::String) — Optional. Ground truth used to compare against the prediction.
Returns
- (::String) — Optional. Ground truth used to compare against the prediction.