Close httplib2 connections.
Gets a NasTrialDetail.
list(parent, pageSize=None, pageToken=None, x__xgafv=None)
List top NasTrialDetails of a NasJob.
Retrieves the next page of results.
close()
Close httplib2 connections.
get(name, x__xgafv=None)
Gets a NasTrialDetail. Args: name: string, Required. The name of the NasTrialDetail resource. Format: `projects/{project}/locations/{location}/nasJobs/{nas_job}/nasTrialDetails/{nas_trial_detail}` (required) x__xgafv: string, V1 error format. Allowed values 1 - v1 error format 2 - v2 error format Returns: An object of the form: { # Represents a NasTrial details along with its parameters. If there is a corresponding train NasTrial, the train NasTrial is also returned. "name": "A String", # Output only. Resource name of the NasTrialDetail. "parameters": "A String", # The parameters for the NasJob NasTrial. "searchTrial": { # Represents a uCAIP NasJob trial. # The requested search NasTrial. "endTime": "A String", # Output only. Time when the NasTrial'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 NasTrial assigned by the service. "startTime": "A String", # Output only. Time when the NasTrial was started. "state": "A String", # Output only. The detailed state of the NasTrial. }, "trainTrial": { # Represents a uCAIP NasJob trial. # The train NasTrial corresponding to search_trial. Only populated if search_trial is used for training. "endTime": "A String", # Output only. Time when the NasTrial'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 NasTrial assigned by the service. "startTime": "A String", # Output only. Time when the NasTrial was started. "state": "A String", # Output only. The detailed state of the NasTrial. }, }
list(parent, pageSize=None, pageToken=None, x__xgafv=None)
List top NasTrialDetails of a NasJob. Args: parent: string, Required. The name of the NasJob resource. Format: `projects/{project}/locations/{location}/nasJobs/{nas_job}` (required) pageSize: integer, The standard list page size. pageToken: string, The standard list page token. Typically obtained via ListNasTrialDetailsResponse.next_page_token of the previous JobService.ListNasTrialDetails call. 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 JobService.ListNasTrialDetails "nasTrialDetails": [ # List of top NasTrials in the requested page. { # Represents a NasTrial details along with its parameters. If there is a corresponding train NasTrial, the train NasTrial is also returned. "name": "A String", # Output only. Resource name of the NasTrialDetail. "parameters": "A String", # The parameters for the NasJob NasTrial. "searchTrial": { # Represents a uCAIP NasJob trial. # The requested search NasTrial. "endTime": "A String", # Output only. Time when the NasTrial'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 NasTrial assigned by the service. "startTime": "A String", # Output only. Time when the NasTrial was started. "state": "A String", # Output only. The detailed state of the NasTrial. }, "trainTrial": { # Represents a uCAIP NasJob trial. # The train NasTrial corresponding to search_trial. Only populated if search_trial is used for training. "endTime": "A String", # Output only. Time when the NasTrial'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 NasTrial assigned by the service. "startTime": "A String", # Output only. Time when the NasTrial was started. "state": "A String", # Output only. The detailed state of the NasTrial. }, }, ], "nextPageToken": "A String", # A token to retrieve the next page of results. Pass to ListNasTrialDetailsRequest.page_token to obtain that page. }
list_next()
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.