GetConversationModelResult constructor

const GetConversationModelResult({
  1. required GoogleCloudDialogflowV2ArticleSuggestionModelMetadataResponse articleSuggestionModelMetadata,
  2. required String createTime,
  3. required List<GoogleCloudDialogflowV2InputDatasetResponse> datasets,
  4. required String displayName,
  5. required String languageCode,
  6. required String name,
  7. required GoogleCloudDialogflowV2SmartReplyModelMetadataResponse smartReplyModelMetadata,
  8. required String state,
})

Creates a new GetConversationModelResult. articleSuggestionModelMetadata Metadata for article suggestion models. createTime Creation time of this model. datasets Datasets used to create model. displayName The display name of the model. At most 64 bytes long. languageCode 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". name ConversationModel resource name. Format: projects//conversationModels/ smartReplyModelMetadata Metadata for smart reply models. state State of the model. A model can only serve prediction requests after it gets deployed.

Implementation

const GetConversationModelResult({
  required this.articleSuggestionModelMetadata,
  required this.createTime,
  required this.datasets,
  required this.displayName,
  required this.languageCode,
  required this.name,
  required this.smartReplyModelMetadata,
  required this.state,
});