Google Cloud Dialogflow v2 API - Class ConversationModelEvaluation (4.12.0)

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

Reference documentation and code samples for the Google Cloud Dialogflow v2 API class ConversationModelEvaluation.

Represents evaluation result of a conversation model.

Inheritance

object > ConversationModelEvaluation

Implements

IMessage ConversationModelEvaluation, IEquatable ConversationModelEvaluation, IDeepCloneable ConversationModelEvaluation, IBufferMessage, IMessage

Inherited Members

object.GetHashCode()

object.GetType()

object.ToString()

Namespace

Google.Cloud.Dialogflow.V2

Assembly

Google.Cloud.Dialogflow.V2.dll

Constructors

ConversationModelEvaluation()

public ConversationModelEvaluation()

ConversationModelEvaluation(ConversationModelEvaluation)

public ConversationModelEvaluation(ConversationModelEvaluation other)

Parameter
Name	Description
`other`	`ConversationModelEvaluation`

Properties

ConversationModelEvaluationName

public ConversationModelEvaluationName ConversationModelEvaluationName { get; set; }

ConversationModelEvaluationName-typed view over the Name resource name property.

Property Value
Type	Description
`ConversationModelEvaluationName`

CreateTime

public Timestamp CreateTime { get; set; }

Output only. Creation time of this model.

Property Value
Type	Description
`Timestamp`

DisplayName

public string DisplayName { get; set; }

Optional. The display name of the model evaluation. At most 64 bytes long.

Property Value
Type	Description
`string`

EvaluationConfig

public EvaluationConfig EvaluationConfig { get; set; }

Optional. The configuration of the evaluation task.

Property Value
Type	Description
`EvaluationConfig`

MetricsCase

public ConversationModelEvaluation.MetricsOneofCase MetricsCase { get; }

Property Value
Type	Description
`ConversationModelEvaluationMetricsOneofCase`

Name

public string Name { get; set; }

The resource name of the evaluation. Format: projects/<Project ID>/conversationModels/<Conversation Model ID>/evaluations/<Evaluation ID>

Property Value
Type	Description
`string`

RawHumanEvalTemplateCsv

public string RawHumanEvalTemplateCsv { get; set; }

Output only. Human eval template in csv format. It tooks real-world conversations provided through input dataset, generates example suggestions for customer to verify quality of the model. For Smart Reply, the generated csv file contains columns of Context, (Suggestions,Q1,Q2)*3, Actual reply. Context contains at most 10 latest messages in the conversation prior to the current suggestion. Q1: "Would you send it as the next message of agent?" Evaluated based on whether the suggest is appropriate to be sent by agent in current context. Q2: "Does the suggestion move the conversation closer to resolution?" Evaluated based on whether the suggestion provide solutions, or answers customer's question or collect information from customer to resolve the customer's issue. Actual reply column contains the actual agent reply sent in the context.

Property Value
Type	Description
`string`

SmartReplyMetrics

public SmartReplyMetrics SmartReplyMetrics { get; set; }

Output only. Only available when model is for smart reply.

Property Value
Type	Description
`SmartReplyMetrics`