public interface ConversationModelOrBuilder extends MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
isInitialized
String getName()
ConversationModel resource name. Format: `projects/<Project ID>/conversationModels/<Conversation Model ID>`
string name = 1;
ByteString getNameBytes()
ConversationModel resource name. Format: `projects/<Project ID>/conversationModels/<Conversation Model ID>`
string name = 1;
String getDisplayName()
Required. The display name of the model. At most 64 bytes long.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
ByteString getDisplayNameBytes()
Required. The display name of the model. At most 64 bytes long.
string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
boolean hasCreateTime()
Output only. Creation time of this model.
.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
Timestamp getCreateTime()
Output only. Creation time of this model.
.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
TimestampOrBuilder getCreateTimeOrBuilder()
Output only. Creation time of this model.
.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
List<InputDataset> getDatasetsList()
Required. Datasets used to create model.
repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];
InputDataset getDatasets(int index)
Required. Datasets used to create model.
repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];
int getDatasetsCount()
Required. Datasets used to create model.
repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];
List<? extends InputDatasetOrBuilder> getDatasetsOrBuilderList()
Required. Datasets used to create model.
repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];
InputDatasetOrBuilder getDatasetsOrBuilder(int index)
Required. Datasets used to create model.
repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];
int getStateValue()
Output only. State of the model. A model can only serve prediction requests after it gets deployed.
.google.cloud.dialogflow.v2.ConversationModel.State state = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
ConversationModel.State getState()
Output only. State of the model. A model can only serve prediction requests after it gets deployed.
.google.cloud.dialogflow.v2.ConversationModel.State state = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
String getLanguageCode()
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](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US".
string language_code = 19;
ByteString getLanguageCodeBytes()
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](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US".
string language_code = 19;
boolean hasArticleSuggestionModelMetadata()
Metadata for article suggestion models.
.google.cloud.dialogflow.v2.ArticleSuggestionModelMetadata article_suggestion_model_metadata = 8;
ArticleSuggestionModelMetadata getArticleSuggestionModelMetadata()
Metadata for article suggestion models.
.google.cloud.dialogflow.v2.ArticleSuggestionModelMetadata article_suggestion_model_metadata = 8;
ArticleSuggestionModelMetadataOrBuilder getArticleSuggestionModelMetadataOrBuilder()
Metadata for article suggestion models.
.google.cloud.dialogflow.v2.ArticleSuggestionModelMetadata article_suggestion_model_metadata = 8;
boolean hasSmartReplyModelMetadata()
Metadata for smart reply models.
.google.cloud.dialogflow.v2.SmartReplyModelMetadata smart_reply_model_metadata = 9;
SmartReplyModelMetadata getSmartReplyModelMetadata()
Metadata for smart reply models.
.google.cloud.dialogflow.v2.SmartReplyModelMetadata smart_reply_model_metadata = 9;
SmartReplyModelMetadataOrBuilder getSmartReplyModelMetadataOrBuilder()
Metadata for smart reply models.
.google.cloud.dialogflow.v2.SmartReplyModelMetadata smart_reply_model_metadata = 9;
ConversationModel.ModelMetadataCase getModelMetadataCase()
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