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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> | |
| <h2>Instance Methods</h2> | |
| <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 in Firebase ML. The longrunning operation will eventually return a Model</p> | |
| <p class="toc_element"> | |
| <code><a href="#delete">delete(name, x__xgafv=None)</a></code></p> | |
| <p class="firstline">Deletes a model</p> | |
| <p class="toc_element"> | |
| <code><a href="#download">download(name, x__xgafv=None)</a></code></p> | |
| <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> | |
| <p class="toc_element"> | |
| <code><a href="#get">get(name, x__xgafv=None)</a></code></p> | |
| <p class="firstline">Gets a model resource.</p> | |
| <p class="toc_element"> | |
| <code><a href="#list">list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p> | |
| <p class="firstline">Lists the 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="#patch">patch(name, body=None, updateMask=None, x__xgafv=None)</a></code></p> | |
| <p class="firstline">Updates a model. The longrunning operation will eventually return a Model.</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 in Firebase ML. The longrunning operation will eventually return a Model | |
| Args: | |
| parent: string, Required. The parent project resource where the model is to be created. The parent must have the form `projects/{project_id}` (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. | |
| } | |
| 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 | |
| Args: | |
| name: string, Required. The name of the model to delete. The name must have the form `projects/{project_id}/models/{model_id}` (required) | |
| x__xgafv: string, V1 error format. | |
| Allowed values | |
| 1 - v1 error format | |
| 2 - v2 error format | |
| Returns: | |
| An object of the form: | |
| { # 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); } | |
| }</pre> | |
| </div> | |
| <div class="method"> | |
| <code class="details" id="download">download(name, x__xgafv=None)</code> | |
| <pre>Gets Download information for a model. This is meant for downloading model resources onto devices. It gives very limited information about the model. | |
| Args: | |
| name: string, Required. The name of the model to download. The name must have the form `projects/{project}/models/{model}` (required) | |
| x__xgafv: string, V1 error format. | |
| Allowed values | |
| 1 - v1 error format | |
| 2 - v2 error format | |
| Returns: | |
| An object of the form: | |
| { # The response for downloading a model to device. | |
| "downloadUri": "A String", # Output only. A download URI for the model/zip file. | |
| "expireTime": "A String", # Output only. The time that the download URI link expires. If the link has expired, the REST call must be repeated. | |
| "modelFormat": "A String", # Output only. The format of the model being downloaded. | |
| "sizeBytes": "A String", # Output only. The size of the file(s), if this information is available. | |
| }</pre> | |
| </div> | |
| <div class="method"> | |
| <code class="details" id="get">get(name, x__xgafv=None)</code> | |
| <pre>Gets a model resource. | |
| Args: | |
| name: string, Required. The name of the model to get. The name must have the form `projects/{project_id}/models/{model_id}` (required) | |
| x__xgafv: string, V1 error format. | |
| Allowed values | |
| 1 - v1 error format | |
| 2 - v2 error format | |
| Returns: | |
| An object of the form: | |
| { # 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. | |
| }</pre> | |
| </div> | |
| <div class="method"> | |
| <code class="details" id="list">list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</code> | |
| <pre>Lists the models | |
| Args: | |
| parent: string, Required. The name of the parent to list models for. The parent must have the form `projects/{project_id}' (required) | |
| filter: string, A filter for the list e.g. 'tags: abc' to list models which are tagged with "abc" | |
| pageSize: integer, The maximum number of items to return | |
| pageToken: string, The next_page_token value returned from a previous List request, if any. | |
| x__xgafv: string, V1 error format. | |
| Allowed values | |
| 1 - v1 error format | |
| 2 - v2 error format | |
| Returns: | |
| An object of the form: | |
| { # The response for list models | |
| "models": [ # The list of models | |
| { # 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. | |
| }, | |
| ], | |
| "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="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> |