Cloud AI Platform v1 API - Class PairwiseSummarizationQualityInstance (3.6.0) 

public sealed class PairwiseSummarizationQualityInstance : IMessage<PairwiseSummarizationQualityInstance>, IEquatable<PairwiseSummarizationQualityInstance>, IDeepCloneable<PairwiseSummarizationQualityInstance>, IBufferMessage, IMessage

Reference documentation and code samples for the Cloud AI Platform v1 API class PairwiseSummarizationQualityInstance.

Spec for pairwise summarization quality instance.

Inheritance

object > PairwiseSummarizationQualityInstance

Namespace

Google.Cloud.AIPlatform.V1

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

PairwiseSummarizationQualityInstance()

public PairwiseSummarizationQualityInstance()

PairwiseSummarizationQualityInstance(PairwiseSummarizationQualityInstance)

public PairwiseSummarizationQualityInstance(PairwiseSummarizationQualityInstance other)
Parameter
Name Description
other PairwiseSummarizationQualityInstance

Properties

BaselinePrediction

public string BaselinePrediction { get; set; }

Required. Output of the baseline model.

Property Value
Type Description
string

Context

public string Context { get; set; }

Required. Text to be summarized.

Property Value
Type Description
string

HasBaselinePrediction

public bool HasBaselinePrediction { get; }

Gets whether the "baseline_prediction" field is set

Property Value
Type Description
bool

HasContext

public bool HasContext { get; }

Gets whether the "context" field is set

Property Value
Type Description
bool

HasInstruction

public bool HasInstruction { get; }

Gets whether the "instruction" field is set

Property Value
Type Description
bool

HasPrediction

public bool HasPrediction { get; }

Gets whether the "prediction" field is set

Property Value
Type Description
bool

HasReference

public bool HasReference { get; }

Gets whether the "reference" field is set

Property Value
Type Description
bool

Instruction

public string Instruction { get; set; }

Required. Summarization prompt for LLM.

Property Value
Type Description
string

Prediction

public string Prediction { get; set; }

Required. Output of the candidate model.

Property Value
Type Description
string

Reference

public string Reference { get; set; }

Optional. Ground truth used to compare against the prediction.

Property Value
Type Description
string