Google Cloud Native v0.30.0, Apr 14 23

google-native.dialogflow/v2.ConversationModel

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Creates a model. This method is a long-running operation. The returned Operation type has the following method-specific fields: - metadata: CreateConversationModelOperationMetadata - response: ConversationModel

Create ConversationModel Resource

new ConversationModel(name: string, args: ConversationModelArgs, opts?: CustomResourceOptions);

@overload
def ConversationModel(resource_name: str,
                      opts: Optional[ResourceOptions] = None,
                      article_suggestion_model_metadata: Optional[GoogleCloudDialogflowV2ArticleSuggestionModelMetadataArgs] = None,
                      datasets: Optional[Sequence[GoogleCloudDialogflowV2InputDatasetArgs]] = None,
                      display_name: Optional[str] = None,
                      language_code: Optional[str] = None,
                      location: Optional[str] = None,
                      name: Optional[str] = None,
                      project: Optional[str] = None,
                      smart_reply_model_metadata: Optional[GoogleCloudDialogflowV2SmartReplyModelMetadataArgs] = None)
@overload
def ConversationModel(resource_name: str,
                      args: ConversationModelArgs,
                      opts: Optional[ResourceOptions] = None)

func NewConversationModel(ctx *Context, name string, args ConversationModelArgs, opts ...ResourceOption) (*ConversationModel, error)

public ConversationModel(string name, ConversationModelArgs args, CustomResourceOptions? opts = null)

public ConversationModel(String name, ConversationModelArgs args)
public ConversationModel(String name, ConversationModelArgs args, CustomResourceOptions options)

type: google-native:dialogflow/v2:ConversationModel
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

name string: The unique name of the resource.
args ConversationModelArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

resource_name str: The unique name of the resource.
args ConversationModelArgs: The arguments to resource properties.
opts ResourceOptions: Bag of options to control resource's behavior.

ctx Context: Context object for the current deployment.
name string: The unique name of the resource.
args ConversationModelArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args ConversationModelArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args ConversationModelArgs: The arguments to resource properties.
options CustomResourceOptions: Bag of options to control resource's behavior.

ConversationModel Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

Inputs

The ConversationModel resource accepts the following input properties:

Datasets List<Pulumi.GoogleNative.Dialogflow.V2.Inputs.GoogleCloudDialogflowV2InputDatasetArgs>: Datasets used to create model.
DisplayName string: The display name of the model. At most 64 bytes long.
ArticleSuggestionModelMetadata Pulumi.GoogleNative.Dialogflow.V2.Inputs.GoogleCloudDialogflowV2ArticleSuggestionModelMetadataArgs: Metadata for article suggestion models.
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".
Location string
Name string: ConversationModel resource name. Format: projects//conversationModels/
Project string
SmartReplyModelMetadata Pulumi.GoogleNative.Dialogflow.V2.Inputs.GoogleCloudDialogflowV2SmartReplyModelMetadataArgs: Metadata for smart reply models.

Datasets []GoogleCloudDialogflowV2InputDatasetArgs: Datasets used to create model.
DisplayName string: The display name of the model. At most 64 bytes long.
ArticleSuggestionModelMetadata GoogleCloudDialogflowV2ArticleSuggestionModelMetadataArgs: Metadata for article suggestion models.
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".
Location string
Name string: ConversationModel resource name. Format: projects//conversationModels/
Project string
SmartReplyModelMetadata GoogleCloudDialogflowV2SmartReplyModelMetadataArgs: Metadata for smart reply models.

datasets List<GoogleCloudDialogflowV2InputDatasetArgs>: Datasets used to create model.
displayName String: The display name of the model. At most 64 bytes long.
articleSuggestionModelMetadata GoogleCloudDialogflowV2ArticleSuggestionModelMetadataArgs: Metadata for article suggestion models.
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".
location String
name String: ConversationModel resource name. Format: projects//conversationModels/
project String
smartReplyModelMetadata GoogleCloudDialogflowV2SmartReplyModelMetadataArgs: Metadata for smart reply models.

datasets GoogleCloudDialogflowV2InputDatasetArgs[]: Datasets used to create model.
displayName string: The display name of the model. At most 64 bytes long.
articleSuggestionModelMetadata GoogleCloudDialogflowV2ArticleSuggestionModelMetadataArgs: Metadata for article suggestion models.
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".
location string
name string: ConversationModel resource name. Format: projects//conversationModels/
project string
smartReplyModelMetadata GoogleCloudDialogflowV2SmartReplyModelMetadataArgs: Metadata for smart reply models.

datasets Sequence[GoogleCloudDialogflowV2InputDatasetArgs]: Datasets used to create model.
display_name str: The display name of the model. At most 64 bytes long.
article_suggestion_model_metadata GoogleCloudDialogflowV2ArticleSuggestionModelMetadataArgs: Metadata for article suggestion models.
language_code str: 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".
location str
name str: ConversationModel resource name. Format: projects//conversationModels/
project str
smart_reply_model_metadata GoogleCloudDialogflowV2SmartReplyModelMetadataArgs: Metadata for smart reply models.

datasets List<Property Map>: Datasets used to create model.
displayName String: The display name of the model. At most 64 bytes long.
articleSuggestionModelMetadata Property Map: Metadata for article suggestion models.
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".
location String
name String: ConversationModel resource name. Format: projects//conversationModels/
project String
smartReplyModelMetadata Property Map: Metadata for smart reply models.

Outputs

All input properties are implicitly available as output properties. Additionally, the ConversationModel resource produces the following output properties:

CreateTime string: Creation time of this model.
Id string: The provider-assigned unique ID for this managed resource.
State string: State of the model. A model can only serve prediction requests after it gets deployed.

CreateTime string: Creation time of this model.
Id string: The provider-assigned unique ID for this managed resource.
State string: State of the model. A model can only serve prediction requests after it gets deployed.

createTime String: Creation time of this model.
id String: The provider-assigned unique ID for this managed resource.
state String: State of the model. A model can only serve prediction requests after it gets deployed.

createTime string: Creation time of this model.
id string: The provider-assigned unique ID for this managed resource.
state string: State of the model. A model can only serve prediction requests after it gets deployed.

create_time str: Creation time of this model.
id str: The provider-assigned unique ID for this managed resource.
state str: State of the model. A model can only serve prediction requests after it gets deployed.

createTime String: Creation time of this model.
id String: The provider-assigned unique ID for this managed resource.
state String: State of the model. A model can only serve prediction requests after it gets deployed.

Supporting Types

GoogleCloudDialogflowV2ArticleSuggestionModelMetadata

TrainingModelType Pulumi.GoogleNative.Dialogflow.V2.GoogleCloudDialogflowV2ArticleSuggestionModelMetadataTrainingModelType: Optional. Type of the article suggestion model. If not provided, model_type is used.

TrainingModelType GoogleCloudDialogflowV2ArticleSuggestionModelMetadataTrainingModelType: Optional. Type of the article suggestion model. If not provided, model_type is used.

trainingModelType GoogleCloudDialogflowV2ArticleSuggestionModelMetadataTrainingModelType: Optional. Type of the article suggestion model. If not provided, model_type is used.

trainingModelType GoogleCloudDialogflowV2ArticleSuggestionModelMetadataTrainingModelType: Optional. Type of the article suggestion model. If not provided, model_type is used.

training_model_type GoogleCloudDialogflowV2ArticleSuggestionModelMetadataTrainingModelType: Optional. Type of the article suggestion model. If not provided, model_type is used.

trainingModelType "MODEL_TYPE_UNSPECIFIED" | "SMART_REPLY_DUAL_ENCODER_MODEL" | "SMART_REPLY_BERT_MODEL": Optional. Type of the article suggestion model. If not provided, model_type is used.

GoogleCloudDialogflowV2ArticleSuggestionModelMetadataResponse

TrainingModelType string: Optional. Type of the article suggestion model. If not provided, model_type is used.

TrainingModelType string: Optional. Type of the article suggestion model. If not provided, model_type is used.

trainingModelType String: Optional. Type of the article suggestion model. If not provided, model_type is used.

trainingModelType string: Optional. Type of the article suggestion model. If not provided, model_type is used.

training_model_type str: Optional. Type of the article suggestion model. If not provided, model_type is used.

trainingModelType String: Optional. Type of the article suggestion model. If not provided, model_type is used.

GoogleCloudDialogflowV2ArticleSuggestionModelMetadataTrainingModelType

ModelTypeUnspecified: MODEL_TYPE_UNSPECIFIED
ModelType unspecified.
SmartReplyDualEncoderModel: SMART_REPLY_DUAL_ENCODER_MODEL
ModelType smart reply dual encoder model.
SmartReplyBertModel: SMART_REPLY_BERT_MODEL
ModelType smart reply bert model.

GoogleCloudDialogflowV2ArticleSuggestionModelMetadataTrainingModelTypeModelTypeUnspecified: MODEL_TYPE_UNSPECIFIED
ModelType unspecified.
GoogleCloudDialogflowV2ArticleSuggestionModelMetadataTrainingModelTypeSmartReplyDualEncoderModel: SMART_REPLY_DUAL_ENCODER_MODEL
ModelType smart reply dual encoder model.
GoogleCloudDialogflowV2ArticleSuggestionModelMetadataTrainingModelTypeSmartReplyBertModel: SMART_REPLY_BERT_MODEL
ModelType smart reply bert model.

ModelTypeUnspecified: MODEL_TYPE_UNSPECIFIED
ModelType unspecified.
SmartReplyDualEncoderModel: SMART_REPLY_DUAL_ENCODER_MODEL
ModelType smart reply dual encoder model.
SmartReplyBertModel: SMART_REPLY_BERT_MODEL
ModelType smart reply bert model.

ModelTypeUnspecified: MODEL_TYPE_UNSPECIFIED
ModelType unspecified.
SmartReplyDualEncoderModel: SMART_REPLY_DUAL_ENCODER_MODEL
ModelType smart reply dual encoder model.
SmartReplyBertModel: SMART_REPLY_BERT_MODEL
ModelType smart reply bert model.

MODEL_TYPE_UNSPECIFIED: MODEL_TYPE_UNSPECIFIED
ModelType unspecified.
SMART_REPLY_DUAL_ENCODER_MODEL: SMART_REPLY_DUAL_ENCODER_MODEL
ModelType smart reply dual encoder model.
SMART_REPLY_BERT_MODEL: SMART_REPLY_BERT_MODEL
ModelType smart reply bert model.

"MODEL_TYPE_UNSPECIFIED": MODEL_TYPE_UNSPECIFIED
ModelType unspecified.
"SMART_REPLY_DUAL_ENCODER_MODEL": SMART_REPLY_DUAL_ENCODER_MODEL
ModelType smart reply dual encoder model.
"SMART_REPLY_BERT_MODEL": SMART_REPLY_BERT_MODEL
ModelType smart reply bert model.

GoogleCloudDialogflowV2InputDataset

Dataset string: ConversationDataset resource name. Format: projects//locations//conversationDatasets/

Dataset string: ConversationDataset resource name. Format: projects//locations//conversationDatasets/

dataset String: ConversationDataset resource name. Format: projects//locations//conversationDatasets/

dataset string: ConversationDataset resource name. Format: projects//locations//conversationDatasets/

dataset str: ConversationDataset resource name. Format: projects//locations//conversationDatasets/

dataset String: ConversationDataset resource name. Format: projects//locations//conversationDatasets/

GoogleCloudDialogflowV2InputDatasetResponse

Dataset string: ConversationDataset resource name. Format: projects//locations//conversationDatasets/

Dataset string: ConversationDataset resource name. Format: projects//locations//conversationDatasets/

dataset String: ConversationDataset resource name. Format: projects//locations//conversationDatasets/

dataset string: ConversationDataset resource name. Format: projects//locations//conversationDatasets/

dataset str: ConversationDataset resource name. Format: projects//locations//conversationDatasets/

dataset String: ConversationDataset resource name. Format: projects//locations//conversationDatasets/

GoogleCloudDialogflowV2SmartReplyModelMetadata

TrainingModelType Pulumi.GoogleNative.Dialogflow.V2.GoogleCloudDialogflowV2SmartReplyModelMetadataTrainingModelType: Optional. Type of the smart reply model. If not provided, model_type is used.

TrainingModelType GoogleCloudDialogflowV2SmartReplyModelMetadataTrainingModelType: Optional. Type of the smart reply model. If not provided, model_type is used.

trainingModelType GoogleCloudDialogflowV2SmartReplyModelMetadataTrainingModelType: Optional. Type of the smart reply model. If not provided, model_type is used.

trainingModelType GoogleCloudDialogflowV2SmartReplyModelMetadataTrainingModelType: Optional. Type of the smart reply model. If not provided, model_type is used.

training_model_type GoogleCloudDialogflowV2SmartReplyModelMetadataTrainingModelType: Optional. Type of the smart reply model. If not provided, model_type is used.

trainingModelType "MODEL_TYPE_UNSPECIFIED" | "SMART_REPLY_DUAL_ENCODER_MODEL" | "SMART_REPLY_BERT_MODEL": Optional. Type of the smart reply model. If not provided, model_type is used.

GoogleCloudDialogflowV2SmartReplyModelMetadataResponse

TrainingModelType string: Optional. Type of the smart reply model. If not provided, model_type is used.

TrainingModelType string: Optional. Type of the smart reply model. If not provided, model_type is used.

trainingModelType String: Optional. Type of the smart reply model. If not provided, model_type is used.

trainingModelType string: Optional. Type of the smart reply model. If not provided, model_type is used.

training_model_type str: Optional. Type of the smart reply model. If not provided, model_type is used.

trainingModelType String: Optional. Type of the smart reply model. If not provided, model_type is used.

GoogleCloudDialogflowV2SmartReplyModelMetadataTrainingModelType

ModelTypeUnspecified: MODEL_TYPE_UNSPECIFIED
ModelType unspecified.
SmartReplyDualEncoderModel: SMART_REPLY_DUAL_ENCODER_MODEL
ModelType smart reply dual encoder model.
SmartReplyBertModel: SMART_REPLY_BERT_MODEL
ModelType smart reply bert model.

GoogleCloudDialogflowV2SmartReplyModelMetadataTrainingModelTypeModelTypeUnspecified: MODEL_TYPE_UNSPECIFIED
ModelType unspecified.
GoogleCloudDialogflowV2SmartReplyModelMetadataTrainingModelTypeSmartReplyDualEncoderModel: SMART_REPLY_DUAL_ENCODER_MODEL
ModelType smart reply dual encoder model.
GoogleCloudDialogflowV2SmartReplyModelMetadataTrainingModelTypeSmartReplyBertModel: SMART_REPLY_BERT_MODEL
ModelType smart reply bert model.

ModelTypeUnspecified: MODEL_TYPE_UNSPECIFIED
ModelType unspecified.
SmartReplyDualEncoderModel: SMART_REPLY_DUAL_ENCODER_MODEL
ModelType smart reply dual encoder model.
SmartReplyBertModel: SMART_REPLY_BERT_MODEL
ModelType smart reply bert model.

ModelTypeUnspecified: MODEL_TYPE_UNSPECIFIED
ModelType unspecified.
SmartReplyDualEncoderModel: SMART_REPLY_DUAL_ENCODER_MODEL
ModelType smart reply dual encoder model.
SmartReplyBertModel: SMART_REPLY_BERT_MODEL
ModelType smart reply bert model.

MODEL_TYPE_UNSPECIFIED: MODEL_TYPE_UNSPECIFIED
ModelType unspecified.
SMART_REPLY_DUAL_ENCODER_MODEL: SMART_REPLY_DUAL_ENCODER_MODEL
ModelType smart reply dual encoder model.
SMART_REPLY_BERT_MODEL: SMART_REPLY_BERT_MODEL
ModelType smart reply bert model.

"MODEL_TYPE_UNSPECIFIED": MODEL_TYPE_UNSPECIFIED
ModelType unspecified.
"SMART_REPLY_DUAL_ENCODER_MODEL": SMART_REPLY_DUAL_ENCODER_MODEL
ModelType smart reply dual encoder model.
"SMART_REPLY_BERT_MODEL": SMART_REPLY_BERT_MODEL
ModelType smart reply bert model.

Package Details

Repository: Google Cloud Native pulumi/pulumi-google-native
License: Apache-2.0