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| <h1><a href="dialogflow_v2.html">Dialogflow API</a> . <a href="dialogflow_v2.projects.html">projects</a> . <a href="dialogflow_v2.projects.conversationModels.html">conversationModels</a></h1> | |
| <h2>Instance Methods</h2> | |
| <p class="toc_element"> | |
| <code><a href="dialogflow_v2.projects.conversationModels.evaluations.html">evaluations()</a></code> | |
| </p> | |
| <p class="firstline">Returns the evaluations Resource.</p> | |
| <p class="toc_element"> | |
| <code><a href="#close">close()</a></code></p> | |
| <p class="firstline">Close httplib2 connections.</p> | |
| <p class="toc_element"> | |
| <code><a href="#create">create(parent, body=None, x__xgafv=None)</a></code></p> | |
| <p class="firstline">Creates a model. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: CreateConversationModelOperationMetadata - `response`: ConversationModel</p> | |
| <p class="toc_element"> | |
| <code><a href="#delete">delete(name, x__xgafv=None)</a></code></p> | |
| <p class="firstline">Deletes a model. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: DeleteConversationModelOperationMetadata - `response`: An [Empty message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)</p> | |
| <p class="toc_element"> | |
| <code><a href="#deploy">deploy(name, body=None, x__xgafv=None)</a></code></p> | |
| <p class="firstline">Deploys a model. If a model is already deployed, deploying it has no effect. A model can only serve prediction requests after it gets deployed. For article suggestion, custom model will not be used unless it is deployed. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: DeployConversationModelOperationMetadata - `response`: An [Empty message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)</p> | |
| <p class="toc_element"> | |
| <code><a href="#get">get(name, x__xgafv=None)</a></code></p> | |
| <p class="firstline">Gets conversation model.</p> | |
| <p class="toc_element"> | |
| <code><a href="#list">list(parent, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p> | |
| <p class="firstline">Lists conversation models.</p> | |
| <p class="toc_element"> | |
| <code><a href="#list_next">list_next()</a></code></p> | |
| <p class="firstline">Retrieves the next page of results.</p> | |
| <p class="toc_element"> | |
| <code><a href="#undeploy">undeploy(name, body=None, x__xgafv=None)</a></code></p> | |
| <p class="firstline">Undeploys a model. If the model is not deployed this method has no effect. If the model is currently being used: - For article suggestion, article suggestion will fallback to the default model if model is undeployed. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: UndeployConversationModelOperationMetadata - `response`: An [Empty message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)</p> | |
| <h3>Method Details</h3> | |
| <div class="method"> | |
| <code class="details" id="close">close()</code> | |
| <pre>Close httplib2 connections.</pre> | |
| </div> | |
| <div class="method"> | |
| <code class="details" id="create">create(parent, body=None, x__xgafv=None)</code> | |
| <pre>Creates a model. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: CreateConversationModelOperationMetadata - `response`: ConversationModel | |
| Args: | |
| parent: string, The project to create conversation model for. Format: `projects/` (required) | |
| body: object, The request body. | |
| The object takes the form of: | |
| { # Represents a conversation model. | |
| "articleSuggestionModelMetadata": { # Metadata for article suggestion models. # Metadata for article suggestion models. | |
| "trainingModelType": "A String", # Optional. Type of the article suggestion model. If not provided, model_type is used. | |
| }, | |
| "createTime": "A String", # Output only. Creation time of this model. | |
| "datasets": [ # Required. Datasets used to create model. | |
| { # InputDataset used to create model or do evaluation. NextID:5 | |
| "dataset": "A String", # Required. ConversationDataset resource name. Format: `projects//locations//conversationDatasets/` | |
| }, | |
| ], | |
| "displayName": "A String", # Required. The display name of the model. At most 64 bytes long. | |
| "languageCode": "A 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](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US". | |
| "name": "A String", # ConversationModel resource name. Format: `projects//conversationModels/` | |
| "smartReplyModelMetadata": { # Metadata for smart reply models. # Metadata for smart reply models. | |
| "trainingModelType": "A String", # Optional. Type of the smart reply model. If not provided, model_type is used. | |
| }, | |
| "state": "A String", # Output only. State of the model. A model can only serve prediction requests after it gets deployed. | |
| } | |
| x__xgafv: string, V1 error format. | |
| Allowed values | |
| 1 - v1 error format | |
| 2 - v2 error format | |
| Returns: | |
| An object of the form: | |
| { # This resource represents a long-running operation that is the result of a network API call. | |
| "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. | |
| "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation. | |
| "code": 42, # The status code, which should be an enum value of google.rpc.Code. | |
| "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use. | |
| { | |
| "a_key": "", # Properties of the object. Contains field @type with type URL. | |
| }, | |
| ], | |
| "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. | |
| }, | |
| "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. | |
| "a_key": "", # Properties of the object. Contains field @type with type URL. | |
| }, | |
| "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. | |
| "response": { # The normal response of the operation in case of success. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. | |
| "a_key": "", # Properties of the object. Contains field @type with type URL. | |
| }, | |
| }</pre> | |
| </div> | |
| <div class="method"> | |
| <code class="details" id="delete">delete(name, x__xgafv=None)</code> | |
| <pre>Deletes a model. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: DeleteConversationModelOperationMetadata - `response`: An [Empty message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty) | |
| Args: | |
| name: string, Required. The conversation model to delete. Format: `projects//conversationModels/` (required) | |
| x__xgafv: string, V1 error format. | |
| Allowed values | |
| 1 - v1 error format | |
| 2 - v2 error format | |
| Returns: | |
| An object of the form: | |
| { # This resource represents a long-running operation that is the result of a network API call. | |
| "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. | |
| "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation. | |
| "code": 42, # The status code, which should be an enum value of google.rpc.Code. | |
| "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use. | |
| { | |
| "a_key": "", # Properties of the object. Contains field @type with type URL. | |
| }, | |
| ], | |
| "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. | |
| }, | |
| "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. | |
| "a_key": "", # Properties of the object. Contains field @type with type URL. | |
| }, | |
| "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. | |
| "response": { # The normal response of the operation in case of success. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. | |
| "a_key": "", # Properties of the object. Contains field @type with type URL. | |
| }, | |
| }</pre> | |
| </div> | |
| <div class="method"> | |
| <code class="details" id="deploy">deploy(name, body=None, x__xgafv=None)</code> | |
| <pre>Deploys a model. If a model is already deployed, deploying it has no effect. A model can only serve prediction requests after it gets deployed. For article suggestion, custom model will not be used unless it is deployed. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: DeployConversationModelOperationMetadata - `response`: An [Empty message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty) | |
| Args: | |
| name: string, Required. The conversation model to deploy. Format: `projects//conversationModels/` (required) | |
| body: object, The request body. | |
| The object takes the form of: | |
| { # The request message for ConversationModels.DeployConversationModel | |
| } | |
| x__xgafv: string, V1 error format. | |
| Allowed values | |
| 1 - v1 error format | |
| 2 - v2 error format | |
| Returns: | |
| An object of the form: | |
| { # This resource represents a long-running operation that is the result of a network API call. | |
| "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. | |
| "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation. | |
| "code": 42, # The status code, which should be an enum value of google.rpc.Code. | |
| "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use. | |
| { | |
| "a_key": "", # Properties of the object. Contains field @type with type URL. | |
| }, | |
| ], | |
| "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. | |
| }, | |
| "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. | |
| "a_key": "", # Properties of the object. Contains field @type with type URL. | |
| }, | |
| "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. | |
| "response": { # The normal response of the operation in case of success. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. | |
| "a_key": "", # Properties of the object. Contains field @type with type URL. | |
| }, | |
| }</pre> | |
| </div> | |
| <div class="method"> | |
| <code class="details" id="get">get(name, x__xgafv=None)</code> | |
| <pre>Gets conversation model. | |
| Args: | |
| name: string, Required. The conversation model to retrieve. Format: `projects//conversationModels/` (required) | |
| x__xgafv: string, V1 error format. | |
| Allowed values | |
| 1 - v1 error format | |
| 2 - v2 error format | |
| Returns: | |
| An object of the form: | |
| { # Represents a conversation model. | |
| "articleSuggestionModelMetadata": { # Metadata for article suggestion models. # Metadata for article suggestion models. | |
| "trainingModelType": "A String", # Optional. Type of the article suggestion model. If not provided, model_type is used. | |
| }, | |
| "createTime": "A String", # Output only. Creation time of this model. | |
| "datasets": [ # Required. Datasets used to create model. | |
| { # InputDataset used to create model or do evaluation. NextID:5 | |
| "dataset": "A String", # Required. ConversationDataset resource name. Format: `projects//locations//conversationDatasets/` | |
| }, | |
| ], | |
| "displayName": "A String", # Required. The display name of the model. At most 64 bytes long. | |
| "languageCode": "A 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](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US". | |
| "name": "A String", # ConversationModel resource name. Format: `projects//conversationModels/` | |
| "smartReplyModelMetadata": { # Metadata for smart reply models. # Metadata for smart reply models. | |
| "trainingModelType": "A String", # Optional. Type of the smart reply model. If not provided, model_type is used. | |
| }, | |
| "state": "A String", # Output only. State of the model. A model can only serve prediction requests after it gets deployed. | |
| }</pre> | |
| </div> | |
| <div class="method"> | |
| <code class="details" id="list">list(parent, pageSize=None, pageToken=None, x__xgafv=None)</code> | |
| <pre>Lists conversation models. | |
| Args: | |
| parent: string, Required. The project to list all conversation models for. Format: `projects/` (required) | |
| pageSize: integer, Optional. Maximum number of conversation models to return in a single page. By default 100 and at most 1000. | |
| pageToken: string, Optional. The next_page_token value returned from a previous list request. | |
| x__xgafv: string, V1 error format. | |
| Allowed values | |
| 1 - v1 error format | |
| 2 - v2 error format | |
| Returns: | |
| An object of the form: | |
| { # The response message for ConversationModels.ListConversationModels | |
| "conversationModels": [ # The list of models to return. | |
| { # Represents a conversation model. | |
| "articleSuggestionModelMetadata": { # Metadata for article suggestion models. # Metadata for article suggestion models. | |
| "trainingModelType": "A String", # Optional. Type of the article suggestion model. If not provided, model_type is used. | |
| }, | |
| "createTime": "A String", # Output only. Creation time of this model. | |
| "datasets": [ # Required. Datasets used to create model. | |
| { # InputDataset used to create model or do evaluation. NextID:5 | |
| "dataset": "A String", # Required. ConversationDataset resource name. Format: `projects//locations//conversationDatasets/` | |
| }, | |
| ], | |
| "displayName": "A String", # Required. The display name of the model. At most 64 bytes long. | |
| "languageCode": "A 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](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US". | |
| "name": "A String", # ConversationModel resource name. Format: `projects//conversationModels/` | |
| "smartReplyModelMetadata": { # Metadata for smart reply models. # Metadata for smart reply models. | |
| "trainingModelType": "A String", # Optional. Type of the smart reply model. If not provided, model_type is used. | |
| }, | |
| "state": "A String", # Output only. State of the model. A model can only serve prediction requests after it gets deployed. | |
| }, | |
| ], | |
| "nextPageToken": "A String", # Token to retrieve the next page of results, or empty if there are no more results in the list. | |
| }</pre> | |
| </div> | |
| <div class="method"> | |
| <code class="details" id="list_next">list_next()</code> | |
| <pre>Retrieves the next page of results. | |
| Args: | |
| previous_request: The request for the previous page. (required) | |
| previous_response: The response from the request for the previous page. (required) | |
| Returns: | |
| A request object that you can call 'execute()' on to request the next | |
| page. Returns None if there are no more items in the collection. | |
| </pre> | |
| </div> | |
| <div class="method"> | |
| <code class="details" id="undeploy">undeploy(name, body=None, x__xgafv=None)</code> | |
| <pre>Undeploys a model. If the model is not deployed this method has no effect. If the model is currently being used: - For article suggestion, article suggestion will fallback to the default model if model is undeployed. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: UndeployConversationModelOperationMetadata - `response`: An [Empty message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty) | |
| Args: | |
| name: string, Required. The conversation model to undeploy. Format: `projects//conversationModels/` (required) | |
| body: object, The request body. | |
| The object takes the form of: | |
| { # The request message for ConversationModels.UndeployConversationModel | |
| } | |
| x__xgafv: string, V1 error format. | |
| Allowed values | |
| 1 - v1 error format | |
| 2 - v2 error format | |
| Returns: | |
| An object of the form: | |
| { # This resource represents a long-running operation that is the result of a network API call. | |
| "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. | |
| "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation. | |
| "code": 42, # The status code, which should be an enum value of google.rpc.Code. | |
| "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use. | |
| { | |
| "a_key": "", # Properties of the object. Contains field @type with type URL. | |
| }, | |
| ], | |
| "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. | |
| }, | |
| "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. | |
| "a_key": "", # Properties of the object. Contains field @type with type URL. | |
| }, | |
| "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. | |
| "response": { # The normal response of the operation in case of success. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. | |
| "a_key": "", # Properties of the object. Contains field @type with type URL. | |
| }, | |
| }</pre> | |
| </div> | |
| </body></html> |