476 lines
		
	
	
		
			38 KiB
		
	
	
	
		
			HTML
		
	
	
	
			
		
		
	
	
			476 lines
		
	
	
		
			38 KiB
		
	
	
	
		
			HTML
		
	
	
	
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| <h1><a href="firebaseml_v1beta2.html">Firebase ML API</a> . <a href="firebaseml_v1beta2.projects.html">projects</a> . <a href="firebaseml_v1beta2.projects.models.html">models</a></h1>
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| <h2>Instance Methods</h2>
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| <p class="toc_element">
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|   <code><a href="#close">close()</a></code></p>
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| <p class="firstline">Close httplib2 connections.</p>
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| <p class="toc_element">
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|   <code><a href="#create">create(parent, body=None, x__xgafv=None)</a></code></p>
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| <p class="firstline">Creates a model in Firebase ML. The longrunning operation will eventually return a Model</p>
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| <p class="toc_element">
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|   <code><a href="#delete">delete(name, x__xgafv=None)</a></code></p>
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| <p class="firstline">Deletes a model</p>
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| <p class="toc_element">
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|   <code><a href="#download">download(name, x__xgafv=None)</a></code></p>
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| <p class="firstline">Gets Download information for a model. This is meant for downloading model resources onto devices. It gives very limited information about the model.</p>
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| <p class="toc_element">
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|   <code><a href="#get">get(name, x__xgafv=None)</a></code></p>
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| <p class="firstline">Gets a model resource.</p>
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| <p class="toc_element">
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|   <code><a href="#list">list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p>
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| <p class="firstline">Lists the models</p>
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| <p class="toc_element">
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|   <code><a href="#list_next">list_next(previous_request, previous_response)</a></code></p>
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| <p class="firstline">Retrieves the next page of results.</p>
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| <p class="toc_element">
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|   <code><a href="#patch">patch(name, body=None, updateMask=None, x__xgafv=None)</a></code></p>
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| <p class="firstline">Updates a model. The longrunning operation will eventually return a Model.</p>
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| <h3>Method Details</h3>
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| <div class="method">
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|     <code class="details" id="close">close()</code>
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|   <pre>Close httplib2 connections.</pre>
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| </div>
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| 
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| <div class="method">
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|     <code class="details" id="create">create(parent, body=None, x__xgafv=None)</code>
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|   <pre>Creates a model in Firebase ML. The longrunning operation will eventually return a Model
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| 
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| Args:
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|   parent: string, Required. The parent project resource where the model is to be created. The parent must have the form `projects/{project_id}` (required)
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|   body: object, The request body.
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|     The object takes the form of:
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| 
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| { # An ML model hosted in Firebase ML
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|   "activeOperations": [ # Output only. Lists operation ids associated with this model whose status is NOT done.
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|     { # This resource represents a long-running operation that is the result of a network API call.
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|       "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.
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|       "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.
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|         "code": 42, # The status code, which should be an enum value of google.rpc.Code.
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|         "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
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|           {
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|             "a_key": "", # Properties of the object. Contains field @type with type URL.
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|           },
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|         ],
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|         "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.
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|       },
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|       "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.
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|         "a_key": "", # Properties of the object. Contains field @type with type URL.
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|       },
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|       "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}`.
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|       "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`.
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|         "a_key": "", # Properties of the object. Contains field @type with type URL.
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|       },
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|     },
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|   ],
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|   "createTime": "A String", # Output only. Timestamp when this model was created in Firebase ML.
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|   "displayName": "A String", # Required. The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
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|   "etag": "A String", # Output only. See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
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|   "modelHash": "A String", # Output only. The model_hash will change if a new file is available for download.
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|   "name": "A String", # The resource name of the Model. Model names have the form `projects/{project_id}/models/{model_id}` The name is ignored when creating a model.
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|   "state": { # State common to all model types. Includes publishing and validation information. # State common to all model types. Includes publishing and validation information.
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|     "published": True or False, # Indicates if this model has been published.
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|     "validationError": { # 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). # Output only. Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
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|       "code": 42, # The status code, which should be an enum value of google.rpc.Code.
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|       "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
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|         {
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|           "a_key": "", # Properties of the object. Contains field @type with type URL.
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|         },
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|       ],
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|       "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.
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|     },
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|   },
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|   "tags": [ # User defined tags which can be used to group/filter models during listing
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|     "A String",
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|   ],
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|   "tfliteModel": { # Information that is specific to TfLite models. # A TFLite Model
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|     "automlModel": "A String", # The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
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|     "gcsTfliteUri": "A String", # The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
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|     "sizeBytes": "A String", # Output only. The size of the TFLite model
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|   },
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|   "updateTime": "A String", # Output only. Timestamp when this model was updated in Firebase ML.
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| }
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| 
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|   x__xgafv: string, V1 error format.
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|     Allowed values
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|       1 - v1 error format
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|       2 - v2 error format
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| 
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| Returns:
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|   An object of the form:
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| 
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|     { # This resource represents a long-running operation that is the result of a network API call.
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|   "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.
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|   "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.
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|     "code": 42, # The status code, which should be an enum value of google.rpc.Code.
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|     "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
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|       {
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|         "a_key": "", # Properties of the object. Contains field @type with type URL.
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|       },
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|     ],
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|     "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.
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|   },
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|   "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.
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|     "a_key": "", # Properties of the object. Contains field @type with type URL.
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|   },
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|   "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}`.
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|   "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`.
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|     "a_key": "", # Properties of the object. Contains field @type with type URL.
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|   },
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| }</pre>
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| </div>
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| 
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| <div class="method">
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|     <code class="details" id="delete">delete(name, x__xgafv=None)</code>
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|   <pre>Deletes a model
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| 
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| Args:
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|   name: string, Required. The name of the model to delete. The name must have the form `projects/{project_id}/models/{model_id}` (required)
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|   x__xgafv: string, V1 error format.
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|     Allowed values
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|       1 - v1 error format
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|       2 - v2 error format
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| 
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| Returns:
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|   An object of the form:
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| 
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|     { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for `Empty` is empty JSON object `{}`.
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| }</pre>
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| </div>
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| 
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| <div class="method">
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|     <code class="details" id="download">download(name, x__xgafv=None)</code>
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|   <pre>Gets Download information for a model. This is meant for downloading model resources onto devices. It gives very limited information about the model.
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| 
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| Args:
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|   name: string, Required. The name of the model to download. The name must have the form `projects/{project}/models/{model}` (required)
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|   x__xgafv: string, V1 error format.
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|     Allowed values
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|       1 - v1 error format
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|       2 - v2 error format
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| 
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| Returns:
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|   An object of the form:
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| 
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|     { # The response for downloading a model to device.
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|   "downloadUri": "A String", # Output only. A download URI for the model/zip file.
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|   "expireTime": "A String", # Output only. The time that the download URI link expires. If the link has expired, the REST call must be repeated.
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|   "modelFormat": "A String", # Output only. The format of the model being downloaded.
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|   "sizeBytes": "A String", # Output only. The size of the file(s), if this information is available.
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| }</pre>
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| </div>
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| 
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| <div class="method">
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|     <code class="details" id="get">get(name, x__xgafv=None)</code>
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|   <pre>Gets a model resource.
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| 
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| Args:
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|   name: string, Required. The name of the model to get. The name must have the form `projects/{project_id}/models/{model_id}` (required)
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|   x__xgafv: string, V1 error format.
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|     Allowed values
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|       1 - v1 error format
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|       2 - v2 error format
 | |
| 
 | |
| Returns:
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|   An object of the form:
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| 
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|     { # An ML model hosted in Firebase ML
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|   "activeOperations": [ # Output only. Lists operation ids associated with this model whose status is NOT done.
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|     { # 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.
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|         "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
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|           {
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|             "a_key": "", # Properties of the object. Contains field @type with type URL.
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|           },
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|         ],
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|         "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.
 | |
|       },
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|       "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.
 | |
|       },
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|       "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}`.
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|       "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`.
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|         "a_key": "", # Properties of the object. Contains field @type with type URL.
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|       },
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|     },
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|   ],
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|   "createTime": "A String", # Output only. Timestamp when this model was created in Firebase ML.
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|   "displayName": "A String", # Required. The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
 | |
|   "etag": "A String", # Output only. See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
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|   "modelHash": "A String", # Output only. The model_hash will change if a new file is available for download.
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|   "name": "A String", # The resource name of the Model. Model names have the form `projects/{project_id}/models/{model_id}` The name is ignored when creating a model.
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|   "state": { # State common to all model types. Includes publishing and validation information. # State common to all model types. Includes publishing and validation information.
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|     "published": True or False, # Indicates if this model has been published.
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|     "validationError": { # 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). # Output only. Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
 | |
|       "code": 42, # The status code, which should be an enum value of google.rpc.Code.
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|       "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
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|         {
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|           "a_key": "", # Properties of the object. Contains field @type with type URL.
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|         },
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|       ],
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|       "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.
 | |
|     },
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|   },
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|   "tags": [ # User defined tags which can be used to group/filter models during listing
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|     "A String",
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|   ],
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|   "tfliteModel": { # Information that is specific to TfLite models. # A TFLite Model
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|     "automlModel": "A String", # The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
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|     "gcsTfliteUri": "A String", # The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
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|     "sizeBytes": "A String", # Output only. The size of the TFLite model
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|   },
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|   "updateTime": "A String", # Output only. Timestamp when this model was updated in Firebase ML.
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| }</pre>
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| </div>
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| 
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| <div class="method">
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|     <code class="details" id="list">list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</code>
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|   <pre>Lists the models
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| 
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| Args:
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|   parent: string, Required. The name of the parent to list models for. The parent must have the form `projects/{project_id}' (required)
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|   filter: string, A filter for the list e.g. 'tags: abc' to list models which are tagged with "abc"
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|   pageSize: integer, The maximum number of items to return
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|   pageToken: string, The next_page_token value returned from a previous List request, if any.
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|   x__xgafv: string, V1 error format.
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|     Allowed values
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|       1 - v1 error format
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|       2 - v2 error format
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| 
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| Returns:
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|   An object of the form:
 | |
| 
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|     { # The response for list models
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|   "models": [ # The list of models
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|     { # An ML model hosted in Firebase ML
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|       "activeOperations": [ # Output only. Lists operation ids associated with this model whose status is NOT done.
 | |
|         { # This resource represents a long-running operation that is the result of a network API call.
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|           "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.
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|           "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.
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|             "code": 42, # The status code, which should be an enum value of google.rpc.Code.
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|             "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
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|               {
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|                 "a_key": "", # Properties of the object. Contains field @type with type URL.
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|               },
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|             ],
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|             "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.
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|           },
 | |
|           "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.
 | |
|           },
 | |
|         },
 | |
|       ],
 | |
|       "createTime": "A String", # Output only. Timestamp when this model was created in Firebase ML.
 | |
|       "displayName": "A String", # Required. The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
 | |
|       "etag": "A String", # Output only. See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
 | |
|       "modelHash": "A String", # Output only. The model_hash will change if a new file is available for download.
 | |
|       "name": "A String", # The resource name of the Model. Model names have the form `projects/{project_id}/models/{model_id}` The name is ignored when creating a model.
 | |
|       "state": { # State common to all model types. Includes publishing and validation information. # State common to all model types. Includes publishing and validation information.
 | |
|         "published": True or False, # Indicates if this model has been published.
 | |
|         "validationError": { # 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). # Output only. Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
 | |
|           "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.
 | |
|         },
 | |
|       },
 | |
|       "tags": [ # User defined tags which can be used to group/filter models during listing
 | |
|         "A String",
 | |
|       ],
 | |
|       "tfliteModel": { # Information that is specific to TfLite models. # A TFLite Model
 | |
|         "automlModel": "A String", # The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
 | |
|         "gcsTfliteUri": "A String", # The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
 | |
|         "sizeBytes": "A String", # Output only. The size of the TFLite model
 | |
|       },
 | |
|       "updateTime": "A String", # Output only. Timestamp when this model was updated in Firebase ML.
 | |
|     },
 | |
|   ],
 | |
|   "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(previous_request, previous_response)</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="patch">patch(name, body=None, updateMask=None, x__xgafv=None)</code>
 | |
|   <pre>Updates a model. The longrunning operation will eventually return a Model.
 | |
| 
 | |
| Args:
 | |
|   name: string, The resource name of the Model. Model names have the form `projects/{project_id}/models/{model_id}` The name is ignored when creating a model. (required)
 | |
|   body: object, The request body.
 | |
|     The object takes the form of:
 | |
| 
 | |
| { # An ML model hosted in Firebase ML
 | |
|   "activeOperations": [ # Output only. Lists operation ids associated with this model whose status is NOT done.
 | |
|     { # 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.
 | |
|       },
 | |
|     },
 | |
|   ],
 | |
|   "createTime": "A String", # Output only. Timestamp when this model was created in Firebase ML.
 | |
|   "displayName": "A String", # Required. The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
 | |
|   "etag": "A String", # Output only. See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
 | |
|   "modelHash": "A String", # Output only. The model_hash will change if a new file is available for download.
 | |
|   "name": "A String", # The resource name of the Model. Model names have the form `projects/{project_id}/models/{model_id}` The name is ignored when creating a model.
 | |
|   "state": { # State common to all model types. Includes publishing and validation information. # State common to all model types. Includes publishing and validation information.
 | |
|     "published": True or False, # Indicates if this model has been published.
 | |
|     "validationError": { # 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). # Output only. Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
 | |
|       "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.
 | |
|     },
 | |
|   },
 | |
|   "tags": [ # User defined tags which can be used to group/filter models during listing
 | |
|     "A String",
 | |
|   ],
 | |
|   "tfliteModel": { # Information that is specific to TfLite models. # A TFLite Model
 | |
|     "automlModel": "A String", # The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
 | |
|     "gcsTfliteUri": "A String", # The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
 | |
|     "sizeBytes": "A String", # Output only. The size of the TFLite model
 | |
|   },
 | |
|   "updateTime": "A String", # Output only. Timestamp when this model was updated in Firebase ML.
 | |
| }
 | |
| 
 | |
|   updateMask: string, The update mask
 | |
|   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> |