Conversation Model Args
data class ConversationModelArgs(val articleSuggestionModelMetadata: Output<GoogleCloudDialogflowV2ArticleSuggestionModelMetadataArgs>? = null, val datasets: Output<List<GoogleCloudDialogflowV2InputDatasetArgs>>? = null, val displayName: Output<String>? = null, val languageCode: Output<String>? = null, val location: Output<String>? = null, val name: Output<String>? = null, val project: Output<String>? = null, val smartReplyModelMetadata: Output<GoogleCloudDialogflowV2SmartReplyModelMetadataArgs>? = null) : ConvertibleToJava<ConversationModelArgs>
Creates a model. This method is a long-running operation. The returned Operation
type has the following method-specific fields: - metadata
: CreateConversationModelOperationMetadata - response
: ConversationModel
Constructors
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constructor(articleSuggestionModelMetadata: Output<GoogleCloudDialogflowV2ArticleSuggestionModelMetadataArgs>? = null, datasets: Output<List<GoogleCloudDialogflowV2InputDatasetArgs>>? = null, displayName: Output<String>? = null, languageCode: Output<String>? = null, location: Output<String>? = null, name: Output<String>? = null, project: Output<String>? = null, smartReplyModelMetadata: Output<GoogleCloudDialogflowV2SmartReplyModelMetadataArgs>? = null)
Properties
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val articleSuggestionModelMetadata: Output<GoogleCloudDialogflowV2ArticleSuggestionModelMetadataArgs>? = null
Metadata for article suggestion models.
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Datasets used to create model.
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The display name of the model. At most 64 bytes long.
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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".
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Metadata for smart reply models.