Package com.google.cloud.dialogflow.v2

Interface ConversationModelEvaluationOrBuilder

    • Method Detail

      • getName

        String getName()
         The resource name of the evaluation. Format:
 `projects/<Project ID>/conversationModels/<Conversation Model
 ID>/evaluations/<Evaluation ID>`
        string name = 1;
        Returns:
        The name.

      • getNameBytes

        com.google.protobuf.ByteString getNameBytes()
         The resource name of the evaluation. Format:
 `projects/<Project ID>/conversationModels/<Conversation Model
 ID>/evaluations/<Evaluation ID>`
        string name = 1;
        Returns:
        The bytes for name.

      • getDisplayName

        String getDisplayName()
         Optional. The display name of the model evaluation. At most 64 bytes long.
        string display_name = 2 [(.google.api.field_behavior) = OPTIONAL];
        Returns:
        The displayName.

      • getDisplayNameBytes

        com.google.protobuf.ByteString getDisplayNameBytes()
         Optional. The display name of the model evaluation. At most 64 bytes long.
        string display_name = 2 [(.google.api.field_behavior) = OPTIONAL];
        Returns:
        The bytes for displayName.

      • hasEvaluationConfig

        boolean hasEvaluationConfig()
         Optional. The configuration of the evaluation task.
        .google.cloud.dialogflow.v2.EvaluationConfig evaluation_config = 6 [(.google.api.field_behavior) = OPTIONAL];
        Returns:
        Whether the evaluationConfig field is set.

      • getEvaluationConfig

        EvaluationConfig getEvaluationConfig()
         Optional. The configuration of the evaluation task.
        .google.cloud.dialogflow.v2.EvaluationConfig evaluation_config = 6 [(.google.api.field_behavior) = OPTIONAL];
        Returns:
        The evaluationConfig.

      • getEvaluationConfigOrBuilder

        EvaluationConfigOrBuilder getEvaluationConfigOrBuilder()
         Optional. The configuration of the evaluation task.
        .google.cloud.dialogflow.v2.EvaluationConfig evaluation_config = 6 [(.google.api.field_behavior) = OPTIONAL];

      • hasCreateTime

        boolean hasCreateTime()
         Output only. Creation time of this model.
        .google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        Whether the createTime field is set.

      • getCreateTime

        com.google.protobuf.Timestamp getCreateTime()
         Output only. Creation time of this model.
        .google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        The createTime.

      • getCreateTimeOrBuilder

        com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()
         Output only. Creation time of this model.
        .google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • hasSmartReplyMetrics

        boolean hasSmartReplyMetrics()
         Output only. Only available when model is for smart reply.
        .google.cloud.dialogflow.v2.SmartReplyMetrics smart_reply_metrics = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        Whether the smartReplyMetrics field is set.

      • getSmartReplyMetrics

        SmartReplyMetrics getSmartReplyMetrics()
         Output only. Only available when model is for smart reply.
        .google.cloud.dialogflow.v2.SmartReplyMetrics smart_reply_metrics = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        The smartReplyMetrics.

      • getSmartReplyMetricsOrBuilder

        SmartReplyMetricsOrBuilder getSmartReplyMetricsOrBuilder()
         Output only. Only available when model is for smart reply.
        .google.cloud.dialogflow.v2.SmartReplyMetrics smart_reply_metrics = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getRawHumanEvalTemplateCsv

        String getRawHumanEvalTemplateCsv()
         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.
        string raw_human_eval_template_csv = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        The rawHumanEvalTemplateCsv.

      • getRawHumanEvalTemplateCsvBytes

        com.google.protobuf.ByteString getRawHumanEvalTemplateCsvBytes()
         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.
        string raw_human_eval_template_csv = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        The bytes for rawHumanEvalTemplateCsv.