pulumi-google-native-kotlin/com.pulumi.googlenative.dialogflow.v2.kotlin.outputs/GetConversationModelResult

GetConversationModelResult

data class GetConversationModelResult(val articleSuggestionModelMetadata: GoogleCloudDialogflowV2ArticleSuggestionModelMetadataResponse, val createTime: String, val datasets: List<GoogleCloudDialogflowV2InputDatasetResponse>, val displayName: String, val languageCode: String, val name: String, val smartReplyModelMetadata: GoogleCloudDialogflowV2SmartReplyModelMetadataResponse, val state: String)

Constructors

GetConversationModelResult

fun GetConversationModelResult(articleSuggestionModelMetadata: GoogleCloudDialogflowV2ArticleSuggestionModelMetadataResponse, createTime: String, datasets: List<GoogleCloudDialogflowV2InputDatasetResponse>, displayName: String, languageCode: String, name: String, smartReplyModelMetadata: GoogleCloudDialogflowV2SmartReplyModelMetadataResponse, state: String)

Types

object Companion

Properties

articleSuggestionModelMetadata

val articleSuggestionModelMetadata: GoogleCloudDialogflowV2ArticleSuggestionModelMetadataResponse

Metadata for article suggestion models.

val createTime: String

Creation time of this model.

val datasets: List<GoogleCloudDialogflowV2InputDatasetResponse>

Datasets used to create model.

val displayName: String

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

val languageCode: String

Language code for the conversation model. If not specified, the language is en-US. Language at ConversationModel should be set for all non en-us languages. This should be a BCP-47 language tag. Example: "en-US".

val name: String

ConversationModel resource name. Format: projects//conversationModels/

smartReplyModelMetadata

val smartReplyModelMetadata: GoogleCloudDialogflowV2SmartReplyModelMetadataResponse

Metadata for smart reply models.

val state: String

State of the model. A model can only serve prediction requests after it gets deployed.