Struct google_dialogflow2::api::GoogleCloudDialogflowV2ConversationModelEvaluation

pub struct GoogleCloudDialogflowV2ConversationModelEvaluation {
    pub create_time: Option<DateTime<Utc>>,
    pub display_name: Option<String>,
    pub evaluation_config: Option<GoogleCloudDialogflowV2EvaluationConfig>,
    pub name: Option<String>,
    pub raw_human_eval_template_csv: Option<String>,
    pub smart_reply_metrics: Option<GoogleCloudDialogflowV2SmartReplyMetrics>,
}

Represents evaluation result of a conversation model.

Activities

This type is used in activities, which are methods you may call on this type or where this type is involved in. The list links the activity name, along with information about where it is used (one of request and response).

• conversation models evaluations get projects (response)
• locations conversation models evaluations get projects (response)

Fields

create_time: Option<DateTime<Utc>>

Output only. Creation time of this model.

display_name: Option<String>

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

evaluation_config: Option<GoogleCloudDialogflowV2EvaluationConfig>

Optional. The configuration of the evaluation task.

name: Option<String>

The resource name of the evaluation. Format: projects//conversationModels//evaluations/

raw_human_eval_template_csv: Option<String>

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.

smart_reply_metrics: Option<GoogleCloudDialogflowV2SmartReplyMetrics>

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

Trait Implementations

impl Clone for GoogleCloudDialogflowV2ConversationModelEvaluation

fn clone(&self) -> GoogleCloudDialogflowV2ConversationModelEvaluation

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for GoogleCloudDialogflowV2ConversationModelEvaluation

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for GoogleCloudDialogflowV2ConversationModelEvaluation

fn default() -> GoogleCloudDialogflowV2ConversationModelEvaluation

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudDialogflowV2ConversationModelEvaluation

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudDialogflowV2ConversationModelEvaluation

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl ResponseResult for GoogleCloudDialogflowV2ConversationModelEvaluation