| <html><body> |
| <style> |
| |
| body, h1, h2, h3, div, span, p, pre, a { |
| margin: 0; |
| padding: 0; |
| border: 0; |
| font-weight: inherit; |
| font-style: inherit; |
| font-size: 100%; |
| font-family: inherit; |
| vertical-align: baseline; |
| } |
| |
| body { |
| font-size: 13px; |
| padding: 1em; |
| } |
| |
| h1 { |
| font-size: 26px; |
| margin-bottom: 1em; |
| } |
| |
| h2 { |
| font-size: 24px; |
| margin-bottom: 1em; |
| } |
| |
| h3 { |
| font-size: 20px; |
| margin-bottom: 1em; |
| margin-top: 1em; |
| } |
| |
| pre, code { |
| line-height: 1.5; |
| font-family: Monaco, 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', 'Lucida Console', monospace; |
| } |
| |
| pre { |
| margin-top: 0.5em; |
| } |
| |
| h1, h2, h3, p { |
| font-family: Arial, sans serif; |
| } |
| |
| h1, h2, h3 { |
| border-bottom: solid #CCC 1px; |
| } |
| |
| .toc_element { |
| margin-top: 0.5em; |
| } |
| |
| .firstline { |
| margin-left: 2 em; |
| } |
| |
| .method { |
| margin-top: 1em; |
| border: solid 1px #CCC; |
| padding: 1em; |
| background: #EEE; |
| } |
| |
| .details { |
| font-weight: bold; |
| font-size: 14px; |
| } |
| |
| </style> |
| |
| <h1><a href="aiplatform_v1beta1.html">Vertex AI API</a> . <a href="aiplatform_v1beta1.projects.html">projects</a> . <a href="aiplatform_v1beta1.projects.locations.html">locations</a> . <a href="aiplatform_v1beta1.projects.locations.studies.html">studies</a> . <a href="aiplatform_v1beta1.projects.locations.studies.trials.html">trials</a></h1> |
| <h2>Instance Methods</h2> |
| <p class="toc_element"> |
| <code><a href="aiplatform_v1beta1.projects.locations.studies.trials.operations.html">operations()</a></code> |
| </p> |
| <p class="firstline">Returns the operations Resource.</p> |
| |
| <p class="toc_element"> |
| <code><a href="#addTrialMeasurement">addTrialMeasurement(trialName, body=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">Adds a measurement of the objective metrics to a Trial. This measurement is assumed to have been taken before the Trial is complete.</p> |
| <p class="toc_element"> |
| <code><a href="#checkTrialEarlyStoppingState">checkTrialEarlyStoppingState(trialName, body=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">Checks whether a Trial should stop or not. Returns a long-running operation. When the operation is successful, it will contain a CheckTrialEarlyStoppingStateResponse.</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="#complete">complete(name, body=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">Marks a Trial as complete.</p> |
| <p class="toc_element"> |
| <code><a href="#create">create(parent, body=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">Adds a user provided Trial to a Study.</p> |
| <p class="toc_element"> |
| <code><a href="#delete">delete(name, x__xgafv=None)</a></code></p> |
| <p class="firstline">Deletes a Trial.</p> |
| <p class="toc_element"> |
| <code><a href="#get">get(name, x__xgafv=None)</a></code></p> |
| <p class="firstline">Gets a Trial.</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 the Trials associated with a Study.</p> |
| <p class="toc_element"> |
| <code><a href="#listOptimalTrials">listOptimalTrials(parent, body=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">Lists the pareto-optimal Trials for multi-objective Study or the optimal Trials for single-objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency</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="#stop">stop(name, body=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">Stops a Trial.</p> |
| <p class="toc_element"> |
| <code><a href="#suggest">suggest(parent, body=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">Adds one or more Trials to a Study, with parameter values suggested by Vertex AI Vizier. Returns a long-running operation associated with the generation of Trial suggestions. When this long-running operation succeeds, it will contain a SuggestTrialsResponse.</p> |
| <h3>Method Details</h3> |
| <div class="method"> |
| <code class="details" id="addTrialMeasurement">addTrialMeasurement(trialName, body=None, x__xgafv=None)</code> |
| <pre>Adds a measurement of the objective metrics to a Trial. This measurement is assumed to have been taken before the Trial is complete. |
| |
| Args: |
| trialName: string, Required. The name of the trial to add measurement. Format: `projects/{project}/locations/{location}/studies/{study}/trials/{trial}` (required) |
| body: object, The request body. |
| The object takes the form of: |
| |
| { # Request message for VizierService.AddTrialMeasurement. |
| "measurement": { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. # Required. The measurement to be added to a Trial. |
| "elapsedDuration": "A String", # Output only. Time that the Trial has been running at the point of this Measurement. |
| "metrics": [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values. |
| { # A message representing a metric in the measurement. |
| "metricId": "A String", # Output only. The ID of the Metric. The Metric should be defined in StudySpec's Metrics. |
| "value": 3.14, # Output only. The value for this metric. |
| }, |
| ], |
| "stepCount": "A String", # Output only. The number of steps the machine learning model has been trained for. Must be non-negative. |
| }, |
| } |
| |
| x__xgafv: string, V1 error format. |
| Allowed values |
| 1 - v1 error format |
| 2 - v2 error format |
| |
| Returns: |
| An object of the form: |
| |
| { # A message representing a Trial. A Trial contains a unique set of Parameters that has been or will be evaluated, along with the objective metrics got by running the Trial. |
| "clientId": "A String", # Output only. The identifier of the client that originally requested this Trial. Each client is identified by a unique client_id. When a client asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client should evaluate the Trial, complete it, and report back to Vertex AI Vizier. If suggestion is asked again by same client_id before the Trial is completed, the same Trial will be returned. Multiple clients with different client_ids can ask for suggestions simultaneously, each of them will get their own Trial. |
| "customJob": "A String", # Output only. The CustomJob name linked to the Trial. It's set for a HyperparameterTuningJob's Trial. |
| "endTime": "A String", # Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`. |
| "finalMeasurement": { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. # Output only. The final measurement containing the objective value. |
| "elapsedDuration": "A String", # Output only. Time that the Trial has been running at the point of this Measurement. |
| "metrics": [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values. |
| { # A message representing a metric in the measurement. |
| "metricId": "A String", # Output only. The ID of the Metric. The Metric should be defined in StudySpec's Metrics. |
| "value": 3.14, # Output only. The value for this metric. |
| }, |
| ], |
| "stepCount": "A String", # Output only. The number of steps the machine learning model has been trained for. Must be non-negative. |
| }, |
| "id": "A String", # Output only. The identifier of the Trial assigned by the service. |
| "infeasibleReason": "A String", # Output only. A human readable string describing why the Trial is infeasible. This is set only if Trial state is `INFEASIBLE`. |
| "measurements": [ # Output only. A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_duration). These are used for early stopping computations. |
| { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. |
| "elapsedDuration": "A String", # Output only. Time that the Trial has been running at the point of this Measurement. |
| "metrics": [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values. |
| { # A message representing a metric in the measurement. |
| "metricId": "A String", # Output only. The ID of the Metric. The Metric should be defined in StudySpec's Metrics. |
| "value": 3.14, # Output only. The value for this metric. |
| }, |
| ], |
| "stepCount": "A String", # Output only. The number of steps the machine learning model has been trained for. Must be non-negative. |
| }, |
| ], |
| "name": "A String", # Output only. Resource name of the Trial assigned by the service. |
| "parameters": [ # Output only. The parameters of the Trial. |
| { # A message representing a parameter to be tuned. |
| "parameterId": "A String", # Output only. The ID of the parameter. The parameter should be defined in StudySpec's Parameters. |
| "value": "", # Output only. The value of the parameter. `number_value` will be set if a parameter defined in StudySpec is in type 'INTEGER', 'DOUBLE' or 'DISCRETE'. `string_value` will be set if a parameter defined in StudySpec is in type 'CATEGORICAL'. |
| }, |
| ], |
| "startTime": "A String", # Output only. Time when the Trial was started. |
| "state": "A String", # Output only. The detailed state of the Trial. |
| "webAccessUris": { # Output only. URIs for accessing [interactive shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell) (one URI for each training node). Only available if this trial is part of a HyperparameterTuningJob and the job's trial_job_spec.enable_web_access field is `true`. The keys are names of each node used for the trial; for example, `workerpool0-0` for the primary node, `workerpool1-0` for the first node in the second worker pool, and `workerpool1-1` for the second node in the second worker pool. The values are the URIs for each node's interactive shell. |
| "a_key": "A String", |
| }, |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="checkTrialEarlyStoppingState">checkTrialEarlyStoppingState(trialName, body=None, x__xgafv=None)</code> |
| <pre>Checks whether a Trial should stop or not. Returns a long-running operation. When the operation is successful, it will contain a CheckTrialEarlyStoppingStateResponse. |
| |
| Args: |
| trialName: string, Required. The Trial's name. Format: `projects/{project}/locations/{location}/studies/{study}/trials/{trial}` (required) |
| body: object, The request body. |
| The object takes the form of: |
| |
| { # Request message for VizierService.CheckTrialEarlyStoppingState. |
| } |
| |
| 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, successful response of the operation. 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="close">close()</code> |
| <pre>Close httplib2 connections.</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="complete">complete(name, body=None, x__xgafv=None)</code> |
| <pre>Marks a Trial as complete. |
| |
| Args: |
| name: string, Required. The Trial's name. Format: `projects/{project}/locations/{location}/studies/{study}/trials/{trial}` (required) |
| body: object, The request body. |
| The object takes the form of: |
| |
| { # Request message for VizierService.CompleteTrial. |
| "finalMeasurement": { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. # Optional. If provided, it will be used as the completed Trial's final_measurement; Otherwise, the service will auto-select a previously reported measurement as the final-measurement |
| "elapsedDuration": "A String", # Output only. Time that the Trial has been running at the point of this Measurement. |
| "metrics": [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values. |
| { # A message representing a metric in the measurement. |
| "metricId": "A String", # Output only. The ID of the Metric. The Metric should be defined in StudySpec's Metrics. |
| "value": 3.14, # Output only. The value for this metric. |
| }, |
| ], |
| "stepCount": "A String", # Output only. The number of steps the machine learning model has been trained for. Must be non-negative. |
| }, |
| "infeasibleReason": "A String", # Optional. A human readable reason why the trial was infeasible. This should only be provided if `trial_infeasible` is true. |
| "trialInfeasible": True or False, # Optional. True if the Trial cannot be run with the given Parameter, and final_measurement will be ignored. |
| } |
| |
| x__xgafv: string, V1 error format. |
| Allowed values |
| 1 - v1 error format |
| 2 - v2 error format |
| |
| Returns: |
| An object of the form: |
| |
| { # A message representing a Trial. A Trial contains a unique set of Parameters that has been or will be evaluated, along with the objective metrics got by running the Trial. |
| "clientId": "A String", # Output only. The identifier of the client that originally requested this Trial. Each client is identified by a unique client_id. When a client asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client should evaluate the Trial, complete it, and report back to Vertex AI Vizier. If suggestion is asked again by same client_id before the Trial is completed, the same Trial will be returned. Multiple clients with different client_ids can ask for suggestions simultaneously, each of them will get their own Trial. |
| "customJob": "A String", # Output only. The CustomJob name linked to the Trial. It's set for a HyperparameterTuningJob's Trial. |
| "endTime": "A String", # Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`. |
| "finalMeasurement": { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. # Output only. The final measurement containing the objective value. |
| "elapsedDuration": "A String", # Output only. Time that the Trial has been running at the point of this Measurement. |
| "metrics": [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values. |
| { # A message representing a metric in the measurement. |
| "metricId": "A String", # Output only. The ID of the Metric. The Metric should be defined in StudySpec's Metrics. |
| "value": 3.14, # Output only. The value for this metric. |
| }, |
| ], |
| "stepCount": "A String", # Output only. The number of steps the machine learning model has been trained for. Must be non-negative. |
| }, |
| "id": "A String", # Output only. The identifier of the Trial assigned by the service. |
| "infeasibleReason": "A String", # Output only. A human readable string describing why the Trial is infeasible. This is set only if Trial state is `INFEASIBLE`. |
| "measurements": [ # Output only. A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_duration). These are used for early stopping computations. |
| { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. |
| "elapsedDuration": "A String", # Output only. Time that the Trial has been running at the point of this Measurement. |
| "metrics": [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values. |
| { # A message representing a metric in the measurement. |
| "metricId": "A String", # Output only. The ID of the Metric. The Metric should be defined in StudySpec's Metrics. |
| "value": 3.14, # Output only. The value for this metric. |
| }, |
| ], |
| "stepCount": "A String", # Output only. The number of steps the machine learning model has been trained for. Must be non-negative. |
| }, |
| ], |
| "name": "A String", # Output only. Resource name of the Trial assigned by the service. |
| "parameters": [ # Output only. The parameters of the Trial. |
| { # A message representing a parameter to be tuned. |
| "parameterId": "A String", # Output only. The ID of the parameter. The parameter should be defined in StudySpec's Parameters. |
| "value": "", # Output only. The value of the parameter. `number_value` will be set if a parameter defined in StudySpec is in type 'INTEGER', 'DOUBLE' or 'DISCRETE'. `string_value` will be set if a parameter defined in StudySpec is in type 'CATEGORICAL'. |
| }, |
| ], |
| "startTime": "A String", # Output only. Time when the Trial was started. |
| "state": "A String", # Output only. The detailed state of the Trial. |
| "webAccessUris": { # Output only. URIs for accessing [interactive shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell) (one URI for each training node). Only available if this trial is part of a HyperparameterTuningJob and the job's trial_job_spec.enable_web_access field is `true`. The keys are names of each node used for the trial; for example, `workerpool0-0` for the primary node, `workerpool1-0` for the first node in the second worker pool, and `workerpool1-1` for the second node in the second worker pool. The values are the URIs for each node's interactive shell. |
| "a_key": "A String", |
| }, |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="create">create(parent, body=None, x__xgafv=None)</code> |
| <pre>Adds a user provided Trial to a Study. |
| |
| Args: |
| parent: string, Required. The resource name of the Study to create the Trial in. Format: `projects/{project}/locations/{location}/studies/{study}` (required) |
| body: object, The request body. |
| The object takes the form of: |
| |
| { # A message representing a Trial. A Trial contains a unique set of Parameters that has been or will be evaluated, along with the objective metrics got by running the Trial. |
| "clientId": "A String", # Output only. The identifier of the client that originally requested this Trial. Each client is identified by a unique client_id. When a client asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client should evaluate the Trial, complete it, and report back to Vertex AI Vizier. If suggestion is asked again by same client_id before the Trial is completed, the same Trial will be returned. Multiple clients with different client_ids can ask for suggestions simultaneously, each of them will get their own Trial. |
| "customJob": "A String", # Output only. The CustomJob name linked to the Trial. It's set for a HyperparameterTuningJob's Trial. |
| "endTime": "A String", # Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`. |
| "finalMeasurement": { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. # Output only. The final measurement containing the objective value. |
| "elapsedDuration": "A String", # Output only. Time that the Trial has been running at the point of this Measurement. |
| "metrics": [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values. |
| { # A message representing a metric in the measurement. |
| "metricId": "A String", # Output only. The ID of the Metric. The Metric should be defined in StudySpec's Metrics. |
| "value": 3.14, # Output only. The value for this metric. |
| }, |
| ], |
| "stepCount": "A String", # Output only. The number of steps the machine learning model has been trained for. Must be non-negative. |
| }, |
| "id": "A String", # Output only. The identifier of the Trial assigned by the service. |
| "infeasibleReason": "A String", # Output only. A human readable string describing why the Trial is infeasible. This is set only if Trial state is `INFEASIBLE`. |
| "measurements": [ # Output only. A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_duration). These are used for early stopping computations. |
| { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. |
| "elapsedDuration": "A String", # Output only. Time that the Trial has been running at the point of this Measurement. |
| "metrics": [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values. |
| { # A message representing a metric in the measurement. |
| "metricId": "A String", # Output only. The ID of the Metric. The Metric should be defined in StudySpec's Metrics. |
| "value": 3.14, # Output only. The value for this metric. |
| }, |
| ], |
| "stepCount": "A String", # Output only. The number of steps the machine learning model has been trained for. Must be non-negative. |
| }, |
| ], |
| "name": "A String", # Output only. Resource name of the Trial assigned by the service. |
| "parameters": [ # Output only. The parameters of the Trial. |
| { # A message representing a parameter to be tuned. |
| "parameterId": "A String", # Output only. The ID of the parameter. The parameter should be defined in StudySpec's Parameters. |
| "value": "", # Output only. The value of the parameter. `number_value` will be set if a parameter defined in StudySpec is in type 'INTEGER', 'DOUBLE' or 'DISCRETE'. `string_value` will be set if a parameter defined in StudySpec is in type 'CATEGORICAL'. |
| }, |
| ], |
| "startTime": "A String", # Output only. Time when the Trial was started. |
| "state": "A String", # Output only. The detailed state of the Trial. |
| "webAccessUris": { # Output only. URIs for accessing [interactive shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell) (one URI for each training node). Only available if this trial is part of a HyperparameterTuningJob and the job's trial_job_spec.enable_web_access field is `true`. The keys are names of each node used for the trial; for example, `workerpool0-0` for the primary node, `workerpool1-0` for the first node in the second worker pool, and `workerpool1-1` for the second node in the second worker pool. The values are the URIs for each node's interactive shell. |
| "a_key": "A String", |
| }, |
| } |
| |
| x__xgafv: string, V1 error format. |
| Allowed values |
| 1 - v1 error format |
| 2 - v2 error format |
| |
| Returns: |
| An object of the form: |
| |
| { # A message representing a Trial. A Trial contains a unique set of Parameters that has been or will be evaluated, along with the objective metrics got by running the Trial. |
| "clientId": "A String", # Output only. The identifier of the client that originally requested this Trial. Each client is identified by a unique client_id. When a client asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client should evaluate the Trial, complete it, and report back to Vertex AI Vizier. If suggestion is asked again by same client_id before the Trial is completed, the same Trial will be returned. Multiple clients with different client_ids can ask for suggestions simultaneously, each of them will get their own Trial. |
| "customJob": "A String", # Output only. The CustomJob name linked to the Trial. It's set for a HyperparameterTuningJob's Trial. |
| "endTime": "A String", # Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`. |
| "finalMeasurement": { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. # Output only. The final measurement containing the objective value. |
| "elapsedDuration": "A String", # Output only. Time that the Trial has been running at the point of this Measurement. |
| "metrics": [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values. |
| { # A message representing a metric in the measurement. |
| "metricId": "A String", # Output only. The ID of the Metric. The Metric should be defined in StudySpec's Metrics. |
| "value": 3.14, # Output only. The value for this metric. |
| }, |
| ], |
| "stepCount": "A String", # Output only. The number of steps the machine learning model has been trained for. Must be non-negative. |
| }, |
| "id": "A String", # Output only. The identifier of the Trial assigned by the service. |
| "infeasibleReason": "A String", # Output only. A human readable string describing why the Trial is infeasible. This is set only if Trial state is `INFEASIBLE`. |
| "measurements": [ # Output only. A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_duration). These are used for early stopping computations. |
| { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. |
| "elapsedDuration": "A String", # Output only. Time that the Trial has been running at the point of this Measurement. |
| "metrics": [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values. |
| { # A message representing a metric in the measurement. |
| "metricId": "A String", # Output only. The ID of the Metric. The Metric should be defined in StudySpec's Metrics. |
| "value": 3.14, # Output only. The value for this metric. |
| }, |
| ], |
| "stepCount": "A String", # Output only. The number of steps the machine learning model has been trained for. Must be non-negative. |
| }, |
| ], |
| "name": "A String", # Output only. Resource name of the Trial assigned by the service. |
| "parameters": [ # Output only. The parameters of the Trial. |
| { # A message representing a parameter to be tuned. |
| "parameterId": "A String", # Output only. The ID of the parameter. The parameter should be defined in StudySpec's Parameters. |
| "value": "", # Output only. The value of the parameter. `number_value` will be set if a parameter defined in StudySpec is in type 'INTEGER', 'DOUBLE' or 'DISCRETE'. `string_value` will be set if a parameter defined in StudySpec is in type 'CATEGORICAL'. |
| }, |
| ], |
| "startTime": "A String", # Output only. Time when the Trial was started. |
| "state": "A String", # Output only. The detailed state of the Trial. |
| "webAccessUris": { # Output only. URIs for accessing [interactive shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell) (one URI for each training node). Only available if this trial is part of a HyperparameterTuningJob and the job's trial_job_spec.enable_web_access field is `true`. The keys are names of each node used for the trial; for example, `workerpool0-0` for the primary node, `workerpool1-0` for the first node in the second worker pool, and `workerpool1-1` for the second node in the second worker pool. The values are the URIs for each node's interactive shell. |
| "a_key": "A String", |
| }, |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="delete">delete(name, x__xgafv=None)</code> |
| <pre>Deletes a Trial. |
| |
| Args: |
| name: string, Required. The Trial's name. Format: `projects/{project}/locations/{location}/studies/{study}/trials/{trial}` (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="get">get(name, x__xgafv=None)</code> |
| <pre>Gets a Trial. |
| |
| Args: |
| name: string, Required. The name of the Trial resource. Format: `projects/{project}/locations/{location}/studies/{study}/trials/{trial}` (required) |
| x__xgafv: string, V1 error format. |
| Allowed values |
| 1 - v1 error format |
| 2 - v2 error format |
| |
| Returns: |
| An object of the form: |
| |
| { # A message representing a Trial. A Trial contains a unique set of Parameters that has been or will be evaluated, along with the objective metrics got by running the Trial. |
| "clientId": "A String", # Output only. The identifier of the client that originally requested this Trial. Each client is identified by a unique client_id. When a client asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client should evaluate the Trial, complete it, and report back to Vertex AI Vizier. If suggestion is asked again by same client_id before the Trial is completed, the same Trial will be returned. Multiple clients with different client_ids can ask for suggestions simultaneously, each of them will get their own Trial. |
| "customJob": "A String", # Output only. The CustomJob name linked to the Trial. It's set for a HyperparameterTuningJob's Trial. |
| "endTime": "A String", # Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`. |
| "finalMeasurement": { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. # Output only. The final measurement containing the objective value. |
| "elapsedDuration": "A String", # Output only. Time that the Trial has been running at the point of this Measurement. |
| "metrics": [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values. |
| { # A message representing a metric in the measurement. |
| "metricId": "A String", # Output only. The ID of the Metric. The Metric should be defined in StudySpec's Metrics. |
| "value": 3.14, # Output only. The value for this metric. |
| }, |
| ], |
| "stepCount": "A String", # Output only. The number of steps the machine learning model has been trained for. Must be non-negative. |
| }, |
| "id": "A String", # Output only. The identifier of the Trial assigned by the service. |
| "infeasibleReason": "A String", # Output only. A human readable string describing why the Trial is infeasible. This is set only if Trial state is `INFEASIBLE`. |
| "measurements": [ # Output only. A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_duration). These are used for early stopping computations. |
| { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. |
| "elapsedDuration": "A String", # Output only. Time that the Trial has been running at the point of this Measurement. |
| "metrics": [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values. |
| { # A message representing a metric in the measurement. |
| "metricId": "A String", # Output only. The ID of the Metric. The Metric should be defined in StudySpec's Metrics. |
| "value": 3.14, # Output only. The value for this metric. |
| }, |
| ], |
| "stepCount": "A String", # Output only. The number of steps the machine learning model has been trained for. Must be non-negative. |
| }, |
| ], |
| "name": "A String", # Output only. Resource name of the Trial assigned by the service. |
| "parameters": [ # Output only. The parameters of the Trial. |
| { # A message representing a parameter to be tuned. |
| "parameterId": "A String", # Output only. The ID of the parameter. The parameter should be defined in StudySpec's Parameters. |
| "value": "", # Output only. The value of the parameter. `number_value` will be set if a parameter defined in StudySpec is in type 'INTEGER', 'DOUBLE' or 'DISCRETE'. `string_value` will be set if a parameter defined in StudySpec is in type 'CATEGORICAL'. |
| }, |
| ], |
| "startTime": "A String", # Output only. Time when the Trial was started. |
| "state": "A String", # Output only. The detailed state of the Trial. |
| "webAccessUris": { # Output only. URIs for accessing [interactive shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell) (one URI for each training node). Only available if this trial is part of a HyperparameterTuningJob and the job's trial_job_spec.enable_web_access field is `true`. The keys are names of each node used for the trial; for example, `workerpool0-0` for the primary node, `workerpool1-0` for the first node in the second worker pool, and `workerpool1-1` for the second node in the second worker pool. The values are the URIs for each node's interactive shell. |
| "a_key": "A String", |
| }, |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="list">list(parent, pageSize=None, pageToken=None, x__xgafv=None)</code> |
| <pre>Lists the Trials associated with a Study. |
| |
| Args: |
| parent: string, Required. The resource name of the Study to list the Trial from. Format: `projects/{project}/locations/{location}/studies/{study}` (required) |
| pageSize: integer, Optional. The number of Trials to retrieve per "page" of results. If unspecified, the service will pick an appropriate default. |
| pageToken: string, Optional. A page token to request the next page of results. If unspecified, there are no subsequent pages. |
| x__xgafv: string, V1 error format. |
| Allowed values |
| 1 - v1 error format |
| 2 - v2 error format |
| |
| Returns: |
| An object of the form: |
| |
| { # Response message for VizierService.ListTrials. |
| "nextPageToken": "A String", # Pass this token as the `page_token` field of the request for a subsequent call. If this field is omitted, there are no subsequent pages. |
| "trials": [ # The Trials associated with the Study. |
| { # A message representing a Trial. A Trial contains a unique set of Parameters that has been or will be evaluated, along with the objective metrics got by running the Trial. |
| "clientId": "A String", # Output only. The identifier of the client that originally requested this Trial. Each client is identified by a unique client_id. When a client asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client should evaluate the Trial, complete it, and report back to Vertex AI Vizier. If suggestion is asked again by same client_id before the Trial is completed, the same Trial will be returned. Multiple clients with different client_ids can ask for suggestions simultaneously, each of them will get their own Trial. |
| "customJob": "A String", # Output only. The CustomJob name linked to the Trial. It's set for a HyperparameterTuningJob's Trial. |
| "endTime": "A String", # Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`. |
| "finalMeasurement": { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. # Output only. The final measurement containing the objective value. |
| "elapsedDuration": "A String", # Output only. Time that the Trial has been running at the point of this Measurement. |
| "metrics": [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values. |
| { # A message representing a metric in the measurement. |
| "metricId": "A String", # Output only. The ID of the Metric. The Metric should be defined in StudySpec's Metrics. |
| "value": 3.14, # Output only. The value for this metric. |
| }, |
| ], |
| "stepCount": "A String", # Output only. The number of steps the machine learning model has been trained for. Must be non-negative. |
| }, |
| "id": "A String", # Output only. The identifier of the Trial assigned by the service. |
| "infeasibleReason": "A String", # Output only. A human readable string describing why the Trial is infeasible. This is set only if Trial state is `INFEASIBLE`. |
| "measurements": [ # Output only. A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_duration). These are used for early stopping computations. |
| { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. |
| "elapsedDuration": "A String", # Output only. Time that the Trial has been running at the point of this Measurement. |
| "metrics": [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values. |
| { # A message representing a metric in the measurement. |
| "metricId": "A String", # Output only. The ID of the Metric. The Metric should be defined in StudySpec's Metrics. |
| "value": 3.14, # Output only. The value for this metric. |
| }, |
| ], |
| "stepCount": "A String", # Output only. The number of steps the machine learning model has been trained for. Must be non-negative. |
| }, |
| ], |
| "name": "A String", # Output only. Resource name of the Trial assigned by the service. |
| "parameters": [ # Output only. The parameters of the Trial. |
| { # A message representing a parameter to be tuned. |
| "parameterId": "A String", # Output only. The ID of the parameter. The parameter should be defined in StudySpec's Parameters. |
| "value": "", # Output only. The value of the parameter. `number_value` will be set if a parameter defined in StudySpec is in type 'INTEGER', 'DOUBLE' or 'DISCRETE'. `string_value` will be set if a parameter defined in StudySpec is in type 'CATEGORICAL'. |
| }, |
| ], |
| "startTime": "A String", # Output only. Time when the Trial was started. |
| "state": "A String", # Output only. The detailed state of the Trial. |
| "webAccessUris": { # Output only. URIs for accessing [interactive shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell) (one URI for each training node). Only available if this trial is part of a HyperparameterTuningJob and the job's trial_job_spec.enable_web_access field is `true`. The keys are names of each node used for the trial; for example, `workerpool0-0` for the primary node, `workerpool1-0` for the first node in the second worker pool, and `workerpool1-1` for the second node in the second worker pool. The values are the URIs for each node's interactive shell. |
| "a_key": "A String", |
| }, |
| }, |
| ], |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="listOptimalTrials">listOptimalTrials(parent, body=None, x__xgafv=None)</code> |
| <pre>Lists the pareto-optimal Trials for multi-objective Study or the optimal Trials for single-objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency |
| |
| Args: |
| parent: string, Required. The name of the Study that the optimal Trial belongs to. (required) |
| body: object, The request body. |
| The object takes the form of: |
| |
| { # Request message for VizierService.ListOptimalTrials. |
| } |
| |
| x__xgafv: string, V1 error format. |
| Allowed values |
| 1 - v1 error format |
| 2 - v2 error format |
| |
| Returns: |
| An object of the form: |
| |
| { # Response message for VizierService.ListOptimalTrials. |
| "optimalTrials": [ # The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency |
| { # A message representing a Trial. A Trial contains a unique set of Parameters that has been or will be evaluated, along with the objective metrics got by running the Trial. |
| "clientId": "A String", # Output only. The identifier of the client that originally requested this Trial. Each client is identified by a unique client_id. When a client asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client should evaluate the Trial, complete it, and report back to Vertex AI Vizier. If suggestion is asked again by same client_id before the Trial is completed, the same Trial will be returned. Multiple clients with different client_ids can ask for suggestions simultaneously, each of them will get their own Trial. |
| "customJob": "A String", # Output only. The CustomJob name linked to the Trial. It's set for a HyperparameterTuningJob's Trial. |
| "endTime": "A String", # Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`. |
| "finalMeasurement": { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. # Output only. The final measurement containing the objective value. |
| "elapsedDuration": "A String", # Output only. Time that the Trial has been running at the point of this Measurement. |
| "metrics": [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values. |
| { # A message representing a metric in the measurement. |
| "metricId": "A String", # Output only. The ID of the Metric. The Metric should be defined in StudySpec's Metrics. |
| "value": 3.14, # Output only. The value for this metric. |
| }, |
| ], |
| "stepCount": "A String", # Output only. The number of steps the machine learning model has been trained for. Must be non-negative. |
| }, |
| "id": "A String", # Output only. The identifier of the Trial assigned by the service. |
| "infeasibleReason": "A String", # Output only. A human readable string describing why the Trial is infeasible. This is set only if Trial state is `INFEASIBLE`. |
| "measurements": [ # Output only. A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_duration). These are used for early stopping computations. |
| { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. |
| "elapsedDuration": "A String", # Output only. Time that the Trial has been running at the point of this Measurement. |
| "metrics": [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values. |
| { # A message representing a metric in the measurement. |
| "metricId": "A String", # Output only. The ID of the Metric. The Metric should be defined in StudySpec's Metrics. |
| "value": 3.14, # Output only. The value for this metric. |
| }, |
| ], |
| "stepCount": "A String", # Output only. The number of steps the machine learning model has been trained for. Must be non-negative. |
| }, |
| ], |
| "name": "A String", # Output only. Resource name of the Trial assigned by the service. |
| "parameters": [ # Output only. The parameters of the Trial. |
| { # A message representing a parameter to be tuned. |
| "parameterId": "A String", # Output only. The ID of the parameter. The parameter should be defined in StudySpec's Parameters. |
| "value": "", # Output only. The value of the parameter. `number_value` will be set if a parameter defined in StudySpec is in type 'INTEGER', 'DOUBLE' or 'DISCRETE'. `string_value` will be set if a parameter defined in StudySpec is in type 'CATEGORICAL'. |
| }, |
| ], |
| "startTime": "A String", # Output only. Time when the Trial was started. |
| "state": "A String", # Output only. The detailed state of the Trial. |
| "webAccessUris": { # Output only. URIs for accessing [interactive shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell) (one URI for each training node). Only available if this trial is part of a HyperparameterTuningJob and the job's trial_job_spec.enable_web_access field is `true`. The keys are names of each node used for the trial; for example, `workerpool0-0` for the primary node, `workerpool1-0` for the first node in the second worker pool, and `workerpool1-1` for the second node in the second worker pool. The values are the URIs for each node's interactive shell. |
| "a_key": "A String", |
| }, |
| }, |
| ], |
| }</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="stop">stop(name, body=None, x__xgafv=None)</code> |
| <pre>Stops a Trial. |
| |
| Args: |
| name: string, Required. The Trial's name. Format: `projects/{project}/locations/{location}/studies/{study}/trials/{trial}` (required) |
| body: object, The request body. |
| The object takes the form of: |
| |
| { # Request message for VizierService.StopTrial. |
| } |
| |
| x__xgafv: string, V1 error format. |
| Allowed values |
| 1 - v1 error format |
| 2 - v2 error format |
| |
| Returns: |
| An object of the form: |
| |
| { # A message representing a Trial. A Trial contains a unique set of Parameters that has been or will be evaluated, along with the objective metrics got by running the Trial. |
| "clientId": "A String", # Output only. The identifier of the client that originally requested this Trial. Each client is identified by a unique client_id. When a client asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client should evaluate the Trial, complete it, and report back to Vertex AI Vizier. If suggestion is asked again by same client_id before the Trial is completed, the same Trial will be returned. Multiple clients with different client_ids can ask for suggestions simultaneously, each of them will get their own Trial. |
| "customJob": "A String", # Output only. The CustomJob name linked to the Trial. It's set for a HyperparameterTuningJob's Trial. |
| "endTime": "A String", # Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`. |
| "finalMeasurement": { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. # Output only. The final measurement containing the objective value. |
| "elapsedDuration": "A String", # Output only. Time that the Trial has been running at the point of this Measurement. |
| "metrics": [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values. |
| { # A message representing a metric in the measurement. |
| "metricId": "A String", # Output only. The ID of the Metric. The Metric should be defined in StudySpec's Metrics. |
| "value": 3.14, # Output only. The value for this metric. |
| }, |
| ], |
| "stepCount": "A String", # Output only. The number of steps the machine learning model has been trained for. Must be non-negative. |
| }, |
| "id": "A String", # Output only. The identifier of the Trial assigned by the service. |
| "infeasibleReason": "A String", # Output only. A human readable string describing why the Trial is infeasible. This is set only if Trial state is `INFEASIBLE`. |
| "measurements": [ # Output only. A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_duration). These are used for early stopping computations. |
| { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. |
| "elapsedDuration": "A String", # Output only. Time that the Trial has been running at the point of this Measurement. |
| "metrics": [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values. |
| { # A message representing a metric in the measurement. |
| "metricId": "A String", # Output only. The ID of the Metric. The Metric should be defined in StudySpec's Metrics. |
| "value": 3.14, # Output only. The value for this metric. |
| }, |
| ], |
| "stepCount": "A String", # Output only. The number of steps the machine learning model has been trained for. Must be non-negative. |
| }, |
| ], |
| "name": "A String", # Output only. Resource name of the Trial assigned by the service. |
| "parameters": [ # Output only. The parameters of the Trial. |
| { # A message representing a parameter to be tuned. |
| "parameterId": "A String", # Output only. The ID of the parameter. The parameter should be defined in StudySpec's Parameters. |
| "value": "", # Output only. The value of the parameter. `number_value` will be set if a parameter defined in StudySpec is in type 'INTEGER', 'DOUBLE' or 'DISCRETE'. `string_value` will be set if a parameter defined in StudySpec is in type 'CATEGORICAL'. |
| }, |
| ], |
| "startTime": "A String", # Output only. Time when the Trial was started. |
| "state": "A String", # Output only. The detailed state of the Trial. |
| "webAccessUris": { # Output only. URIs for accessing [interactive shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell) (one URI for each training node). Only available if this trial is part of a HyperparameterTuningJob and the job's trial_job_spec.enable_web_access field is `true`. The keys are names of each node used for the trial; for example, `workerpool0-0` for the primary node, `workerpool1-0` for the first node in the second worker pool, and `workerpool1-1` for the second node in the second worker pool. The values are the URIs for each node's interactive shell. |
| "a_key": "A String", |
| }, |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="suggest">suggest(parent, body=None, x__xgafv=None)</code> |
| <pre>Adds one or more Trials to a Study, with parameter values suggested by Vertex AI Vizier. Returns a long-running operation associated with the generation of Trial suggestions. When this long-running operation succeeds, it will contain a SuggestTrialsResponse. |
| |
| Args: |
| parent: string, Required. The project and location that the Study belongs to. Format: `projects/{project}/locations/{location}/studies/{study}` (required) |
| body: object, The request body. |
| The object takes the form of: |
| |
| { # Request message for VizierService.SuggestTrials. |
| "clientId": "A String", # Required. The identifier of the client that is requesting the suggestion. If multiple SuggestTrialsRequests have the same `client_id`, the service will return the identical suggested Trial if the Trial is pending, and provide a new Trial if the last suggested Trial was completed. |
| "suggestionCount": 42, # Required. The number of suggestions requested. It must be positive. |
| } |
| |
| 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, successful response of the operation. 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> |
