Reference documentation and code samples for the Dialogflow V2 API class Google::Cloud::Dialogflow::V2::ConversationModel.
Represents a conversation model.
Inherits
- Object
 
Extended By
- Google::Protobuf::MessageExts::ClassMethods
 
Includes
- Google::Protobuf::MessageExts
 
Methods
#article_suggestion_model_metadata
def article_suggestion_model_metadata() -> ::Google::Cloud::Dialogflow::V2::ArticleSuggestionModelMetadata Returns 
 - (::Google::Cloud::Dialogflow::V2::ArticleSuggestionModelMetadata) — Metadata for article suggestion models.
 
#article_suggestion_model_metadata=
def article_suggestion_model_metadata=(value) -> ::Google::Cloud::Dialogflow::V2::ArticleSuggestionModelMetadata Parameter 
 - value (::Google::Cloud::Dialogflow::V2::ArticleSuggestionModelMetadata) — Metadata for article suggestion models.
 
 Returns 
 - (::Google::Cloud::Dialogflow::V2::ArticleSuggestionModelMetadata) — Metadata for article suggestion models.
 
#create_time
def create_time() -> ::Google::Protobuf::Timestamp Returns 
 - (::Google::Protobuf::Timestamp) — Output only. Creation time of this model.
 
#datasets
def datasets() -> ::Array<::Google::Cloud::Dialogflow::V2::InputDataset> Returns 
 - (::Array<::Google::Cloud::Dialogflow::V2::InputDataset>) — Required. Datasets used to create model.
 
#datasets=
def datasets=(value) -> ::Array<::Google::Cloud::Dialogflow::V2::InputDataset> Parameter 
 - value (::Array<::Google::Cloud::Dialogflow::V2::InputDataset>) — Required. Datasets used to create model.
 
 Returns 
 - (::Array<::Google::Cloud::Dialogflow::V2::InputDataset>) — Required. Datasets used to create model.
 
#display_name
def display_name() -> ::String Returns 
 - (::String) — Required. The display name of the model. At most 64 bytes long.
 
#display_name=
def display_name=(value) -> ::String Parameter 
 - value (::String) — Required. The display name of the model. At most 64 bytes long.
 
 Returns 
 - (::String) — Required. The display name of the model. At most 64 bytes long.
 
#language_code
def language_code() -> ::String Returns 
 - (::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".
 
#language_code=
def language_code=(value) -> ::String Parameter 
 - value (::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".
 
 Returns 
 - (::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".
 
#name
def name() -> ::String Returns 
 -  (::String) — ConversationModel resource name. Format: 
projects/<Project ID>/conversationModels/<Conversation Model ID> 
#name=
def name=(value) -> ::String Parameter 
 -  value (::String) — ConversationModel resource name. Format: 
projects/<Project ID>/conversationModels/<Conversation Model ID> 
 Returns 
 -  (::String) — ConversationModel resource name. Format: 
projects/<Project ID>/conversationModels/<Conversation Model ID> 
#smart_reply_model_metadata
def smart_reply_model_metadata() -> ::Google::Cloud::Dialogflow::V2::SmartReplyModelMetadata Returns 
 - (::Google::Cloud::Dialogflow::V2::SmartReplyModelMetadata) — Metadata for smart reply models.
 
#smart_reply_model_metadata=
def smart_reply_model_metadata=(value) -> ::Google::Cloud::Dialogflow::V2::SmartReplyModelMetadata Parameter 
 - value (::Google::Cloud::Dialogflow::V2::SmartReplyModelMetadata) — Metadata for smart reply models.
 
 Returns 
 - (::Google::Cloud::Dialogflow::V2::SmartReplyModelMetadata) — Metadata for smart reply models.
 
#state
def state() -> ::Google::Cloud::Dialogflow::V2::ConversationModel::State Returns 
 - (::Google::Cloud::Dialogflow::V2::ConversationModel::State) — Output only. State of the model. A model can only serve prediction requests after it gets deployed.