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| <h1><a href="ml_v1.html">AI Platform Training & Prediction API</a> . <a href="ml_v1.projects.html">projects</a> . <a href="ml_v1.projects.locations.html">locations</a> . <a href="ml_v1.projects.locations.studies.html">studies</a> . <a href="ml_v1.projects.locations.studies.trials.html">trials</a></h1> |
| <h2>Instance Methods</h2> |
| <p class="toc_element"> |
| <code><a href="#addMeasurement">addMeasurement(name, body=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">Adds a measurement of the objective metrics to a trial. This measurement</p> |
| <p class="toc_element"> |
| <code><a href="#checkEarlyStoppingState">checkEarlyStoppingState(name, body=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">Checks whether a trial should stop or not. Returns a</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, x__xgafv=None)</a></code></p> |
| <p class="firstline">Lists the trials associated with a study.</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</p> |
| <h3>Method Details</h3> |
| <div class="method"> |
| <code class="details" id="addMeasurement">addMeasurement(name, 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: |
| name: string, Required. The trial name. (required) |
| body: object, The request body. |
| The object takes the form of: |
| |
| { # The request message for the AddTrialMeasurement service method. |
| "measurement": { # A message representing a measurement. # Required. The measurement to be added to a trial. |
| "elapsedTime": "A String", # Output only. Time that the trial has been running at the point of |
| # this measurement. |
| "stepCount": "A String", # The number of steps a machine learning model has been trained for. |
| # Must be non-negative. |
| "metrics": [ # Provides a list of metrics that act as inputs into the objective |
| # function. |
| { # A message representing a metric in the measurement. |
| "value": 3.14, # Required. The value for this metric. |
| "metric": "A String", # Required. Metric name. |
| }, |
| ], |
| }, |
| } |
| |
| 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. |
| "infeasibleReason": "A String", # Output only. A human readable string describing why the trial is |
| # infeasible. This should only be set if trial_infeasible is true. |
| "endTime": "A String", # Output only. Time at which the trial's status changed to COMPLETED. |
| "measurements": [ # A list of measurements that are strictly lexicographically |
| # ordered by their induced tuples (steps, elapsed_time). |
| # These are used for early stopping computations. |
| { # A message representing a measurement. |
| "elapsedTime": "A String", # Output only. Time that the trial has been running at the point of |
| # this measurement. |
| "stepCount": "A String", # The number of steps a machine learning model has been trained for. |
| # Must be non-negative. |
| "metrics": [ # Provides a list of metrics that act as inputs into the objective |
| # function. |
| { # A message representing a metric in the measurement. |
| "value": 3.14, # Required. The value for this metric. |
| "metric": "A String", # Required. Metric name. |
| }, |
| ], |
| }, |
| ], |
| "clientId": "A String", # Output only. The identifier of the client that originally requested this trial. |
| "parameters": [ # The parameters of the trial. |
| { # A message representing a parameter to be tuned. Contains the name of |
| # the parameter and the suggested value to use for this trial. |
| "intValue": "A String", # Must be set if ParameterType is INTEGER |
| "stringValue": "A String", # Must be set if ParameterTypeis CATEGORICAL |
| "parameter": "A String", # The name of the parameter. |
| "floatValue": 3.14, # Must be set if ParameterType is DOUBLE or DISCRETE. |
| }, |
| ], |
| "state": "A String", # The detailed state of a trial. |
| "finalMeasurement": { # A message representing a measurement. # The final measurement containing the objective value. |
| "elapsedTime": "A String", # Output only. Time that the trial has been running at the point of |
| # this measurement. |
| "stepCount": "A String", # The number of steps a machine learning model has been trained for. |
| # Must be non-negative. |
| "metrics": [ # Provides a list of metrics that act as inputs into the objective |
| # function. |
| { # A message representing a metric in the measurement. |
| "value": 3.14, # Required. The value for this metric. |
| "metric": "A String", # Required. Metric name. |
| }, |
| ], |
| }, |
| "trialInfeasible": True or False, # Output only. If true, the parameters in this trial are not attempted again. |
| "startTime": "A String", # Output only. Time at which the trial was started. |
| "name": "A String", # Output only. Name of the trial assigned by the service. |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="checkEarlyStoppingState">checkEarlyStoppingState(name, 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: |
| name: string, Required. The trial name. (required) |
| body: object, The request body. |
| The object takes the form of: |
| |
| { # The request message for the CheckTrialEarlyStoppingState service method. |
| } |
| |
| 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. |
| "error": { # The `Status` type defines a logical error model that is suitable for # The error result of the operation in case of failure or cancellation. |
| # 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). |
| "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. |
| "code": 42, # The status code, which should be an enum value of google.rpc.Code. |
| }, |
| "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. |
| "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. |
| }, |
| "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}`. |
| }</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 name.metat (required) |
| body: object, The request body. |
| The object takes the form of: |
| |
| { # The request message for the CompleteTrial service method. |
| "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. |
| "finalMeasurement": { # A message representing a measurement. # 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 |
| "elapsedTime": "A String", # Output only. Time that the trial has been running at the point of |
| # this measurement. |
| "stepCount": "A String", # The number of steps a machine learning model has been trained for. |
| # Must be non-negative. |
| "metrics": [ # Provides a list of metrics that act as inputs into the objective |
| # function. |
| { # A message representing a metric in the measurement. |
| "value": 3.14, # Required. The value for this metric. |
| "metric": "A String", # Required. Metric name. |
| }, |
| ], |
| }, |
| } |
| |
| 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. |
| "infeasibleReason": "A String", # Output only. A human readable string describing why the trial is |
| # infeasible. This should only be set if trial_infeasible is true. |
| "endTime": "A String", # Output only. Time at which the trial's status changed to COMPLETED. |
| "measurements": [ # A list of measurements that are strictly lexicographically |
| # ordered by their induced tuples (steps, elapsed_time). |
| # These are used for early stopping computations. |
| { # A message representing a measurement. |
| "elapsedTime": "A String", # Output only. Time that the trial has been running at the point of |
| # this measurement. |
| "stepCount": "A String", # The number of steps a machine learning model has been trained for. |
| # Must be non-negative. |
| "metrics": [ # Provides a list of metrics that act as inputs into the objective |
| # function. |
| { # A message representing a metric in the measurement. |
| "value": 3.14, # Required. The value for this metric. |
| "metric": "A String", # Required. Metric name. |
| }, |
| ], |
| }, |
| ], |
| "clientId": "A String", # Output only. The identifier of the client that originally requested this trial. |
| "parameters": [ # The parameters of the trial. |
| { # A message representing a parameter to be tuned. Contains the name of |
| # the parameter and the suggested value to use for this trial. |
| "intValue": "A String", # Must be set if ParameterType is INTEGER |
| "stringValue": "A String", # Must be set if ParameterTypeis CATEGORICAL |
| "parameter": "A String", # The name of the parameter. |
| "floatValue": 3.14, # Must be set if ParameterType is DOUBLE or DISCRETE. |
| }, |
| ], |
| "state": "A String", # The detailed state of a trial. |
| "finalMeasurement": { # A message representing a measurement. # The final measurement containing the objective value. |
| "elapsedTime": "A String", # Output only. Time that the trial has been running at the point of |
| # this measurement. |
| "stepCount": "A String", # The number of steps a machine learning model has been trained for. |
| # Must be non-negative. |
| "metrics": [ # Provides a list of metrics that act as inputs into the objective |
| # function. |
| { # A message representing a metric in the measurement. |
| "value": 3.14, # Required. The value for this metric. |
| "metric": "A String", # Required. Metric name. |
| }, |
| ], |
| }, |
| "trialInfeasible": True or False, # Output only. If true, the parameters in this trial are not attempted again. |
| "startTime": "A String", # Output only. Time at which the trial was started. |
| "name": "A String", # Output only. Name of the trial assigned by the service. |
| }</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 name of the study that the trial belongs to. (required) |
| body: object, The request body. |
| The object takes the form of: |
| |
| { # A message representing a trial. |
| "infeasibleReason": "A String", # Output only. A human readable string describing why the trial is |
| # infeasible. This should only be set if trial_infeasible is true. |
| "endTime": "A String", # Output only. Time at which the trial's status changed to COMPLETED. |
| "measurements": [ # A list of measurements that are strictly lexicographically |
| # ordered by their induced tuples (steps, elapsed_time). |
| # These are used for early stopping computations. |
| { # A message representing a measurement. |
| "elapsedTime": "A String", # Output only. Time that the trial has been running at the point of |
| # this measurement. |
| "stepCount": "A String", # The number of steps a machine learning model has been trained for. |
| # Must be non-negative. |
| "metrics": [ # Provides a list of metrics that act as inputs into the objective |
| # function. |
| { # A message representing a metric in the measurement. |
| "value": 3.14, # Required. The value for this metric. |
| "metric": "A String", # Required. Metric name. |
| }, |
| ], |
| }, |
| ], |
| "clientId": "A String", # Output only. The identifier of the client that originally requested this trial. |
| "parameters": [ # The parameters of the trial. |
| { # A message representing a parameter to be tuned. Contains the name of |
| # the parameter and the suggested value to use for this trial. |
| "intValue": "A String", # Must be set if ParameterType is INTEGER |
| "stringValue": "A String", # Must be set if ParameterTypeis CATEGORICAL |
| "parameter": "A String", # The name of the parameter. |
| "floatValue": 3.14, # Must be set if ParameterType is DOUBLE or DISCRETE. |
| }, |
| ], |
| "state": "A String", # The detailed state of a trial. |
| "finalMeasurement": { # A message representing a measurement. # The final measurement containing the objective value. |
| "elapsedTime": "A String", # Output only. Time that the trial has been running at the point of |
| # this measurement. |
| "stepCount": "A String", # The number of steps a machine learning model has been trained for. |
| # Must be non-negative. |
| "metrics": [ # Provides a list of metrics that act as inputs into the objective |
| # function. |
| { # A message representing a metric in the measurement. |
| "value": 3.14, # Required. The value for this metric. |
| "metric": "A String", # Required. Metric name. |
| }, |
| ], |
| }, |
| "trialInfeasible": True or False, # Output only. If true, the parameters in this trial are not attempted again. |
| "startTime": "A String", # Output only. Time at which the trial was started. |
| "name": "A String", # Output only. Name of the trial assigned by the service. |
| } |
| |
| 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. |
| "infeasibleReason": "A String", # Output only. A human readable string describing why the trial is |
| # infeasible. This should only be set if trial_infeasible is true. |
| "endTime": "A String", # Output only. Time at which the trial's status changed to COMPLETED. |
| "measurements": [ # A list of measurements that are strictly lexicographically |
| # ordered by their induced tuples (steps, elapsed_time). |
| # These are used for early stopping computations. |
| { # A message representing a measurement. |
| "elapsedTime": "A String", # Output only. Time that the trial has been running at the point of |
| # this measurement. |
| "stepCount": "A String", # The number of steps a machine learning model has been trained for. |
| # Must be non-negative. |
| "metrics": [ # Provides a list of metrics that act as inputs into the objective |
| # function. |
| { # A message representing a metric in the measurement. |
| "value": 3.14, # Required. The value for this metric. |
| "metric": "A String", # Required. Metric name. |
| }, |
| ], |
| }, |
| ], |
| "clientId": "A String", # Output only. The identifier of the client that originally requested this trial. |
| "parameters": [ # The parameters of the trial. |
| { # A message representing a parameter to be tuned. Contains the name of |
| # the parameter and the suggested value to use for this trial. |
| "intValue": "A String", # Must be set if ParameterType is INTEGER |
| "stringValue": "A String", # Must be set if ParameterTypeis CATEGORICAL |
| "parameter": "A String", # The name of the parameter. |
| "floatValue": 3.14, # Must be set if ParameterType is DOUBLE or DISCRETE. |
| }, |
| ], |
| "state": "A String", # The detailed state of a trial. |
| "finalMeasurement": { # A message representing a measurement. # The final measurement containing the objective value. |
| "elapsedTime": "A String", # Output only. Time that the trial has been running at the point of |
| # this measurement. |
| "stepCount": "A String", # The number of steps a machine learning model has been trained for. |
| # Must be non-negative. |
| "metrics": [ # Provides a list of metrics that act as inputs into the objective |
| # function. |
| { # A message representing a metric in the measurement. |
| "value": 3.14, # Required. The value for this metric. |
| "metric": "A String", # Required. Metric name. |
| }, |
| ], |
| }, |
| "trialInfeasible": True or False, # Output only. If true, the parameters in this trial are not attempted again. |
| "startTime": "A String", # Output only. Time at which the trial was started. |
| "name": "A String", # Output only. Name of the trial assigned by the service. |
| }</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 name. (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); |
| # } |
| # |
| # The JSON representation for `Empty` is empty JSON object `{}`. |
| }</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 trial name. (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. |
| "infeasibleReason": "A String", # Output only. A human readable string describing why the trial is |
| # infeasible. This should only be set if trial_infeasible is true. |
| "endTime": "A String", # Output only. Time at which the trial's status changed to COMPLETED. |
| "measurements": [ # A list of measurements that are strictly lexicographically |
| # ordered by their induced tuples (steps, elapsed_time). |
| # These are used for early stopping computations. |
| { # A message representing a measurement. |
| "elapsedTime": "A String", # Output only. Time that the trial has been running at the point of |
| # this measurement. |
| "stepCount": "A String", # The number of steps a machine learning model has been trained for. |
| # Must be non-negative. |
| "metrics": [ # Provides a list of metrics that act as inputs into the objective |
| # function. |
| { # A message representing a metric in the measurement. |
| "value": 3.14, # Required. The value for this metric. |
| "metric": "A String", # Required. Metric name. |
| }, |
| ], |
| }, |
| ], |
| "clientId": "A String", # Output only. The identifier of the client that originally requested this trial. |
| "parameters": [ # The parameters of the trial. |
| { # A message representing a parameter to be tuned. Contains the name of |
| # the parameter and the suggested value to use for this trial. |
| "intValue": "A String", # Must be set if ParameterType is INTEGER |
| "stringValue": "A String", # Must be set if ParameterTypeis CATEGORICAL |
| "parameter": "A String", # The name of the parameter. |
| "floatValue": 3.14, # Must be set if ParameterType is DOUBLE or DISCRETE. |
| }, |
| ], |
| "state": "A String", # The detailed state of a trial. |
| "finalMeasurement": { # A message representing a measurement. # The final measurement containing the objective value. |
| "elapsedTime": "A String", # Output only. Time that the trial has been running at the point of |
| # this measurement. |
| "stepCount": "A String", # The number of steps a machine learning model has been trained for. |
| # Must be non-negative. |
| "metrics": [ # Provides a list of metrics that act as inputs into the objective |
| # function. |
| { # A message representing a metric in the measurement. |
| "value": 3.14, # Required. The value for this metric. |
| "metric": "A String", # Required. Metric name. |
| }, |
| ], |
| }, |
| "trialInfeasible": True or False, # Output only. If true, the parameters in this trial are not attempted again. |
| "startTime": "A String", # Output only. Time at which the trial was started. |
| "name": "A String", # Output only. Name of the trial assigned by the service. |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="list">list(parent, x__xgafv=None)</code> |
| <pre>Lists the trials associated with a study. |
| |
| Args: |
| parent: string, Required. The name of the study that the trial belongs to. (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 message for the ListTrials method. |
| "trials": [ # The trials associated with the study. |
| { # A message representing a trial. |
| "infeasibleReason": "A String", # Output only. A human readable string describing why the trial is |
| # infeasible. This should only be set if trial_infeasible is true. |
| "endTime": "A String", # Output only. Time at which the trial's status changed to COMPLETED. |
| "measurements": [ # A list of measurements that are strictly lexicographically |
| # ordered by their induced tuples (steps, elapsed_time). |
| # These are used for early stopping computations. |
| { # A message representing a measurement. |
| "elapsedTime": "A String", # Output only. Time that the trial has been running at the point of |
| # this measurement. |
| "stepCount": "A String", # The number of steps a machine learning model has been trained for. |
| # Must be non-negative. |
| "metrics": [ # Provides a list of metrics that act as inputs into the objective |
| # function. |
| { # A message representing a metric in the measurement. |
| "value": 3.14, # Required. The value for this metric. |
| "metric": "A String", # Required. Metric name. |
| }, |
| ], |
| }, |
| ], |
| "clientId": "A String", # Output only. The identifier of the client that originally requested this trial. |
| "parameters": [ # The parameters of the trial. |
| { # A message representing a parameter to be tuned. Contains the name of |
| # the parameter and the suggested value to use for this trial. |
| "intValue": "A String", # Must be set if ParameterType is INTEGER |
| "stringValue": "A String", # Must be set if ParameterTypeis CATEGORICAL |
| "parameter": "A String", # The name of the parameter. |
| "floatValue": 3.14, # Must be set if ParameterType is DOUBLE or DISCRETE. |
| }, |
| ], |
| "state": "A String", # The detailed state of a trial. |
| "finalMeasurement": { # A message representing a measurement. # The final measurement containing the objective value. |
| "elapsedTime": "A String", # Output only. Time that the trial has been running at the point of |
| # this measurement. |
| "stepCount": "A String", # The number of steps a machine learning model has been trained for. |
| # Must be non-negative. |
| "metrics": [ # Provides a list of metrics that act as inputs into the objective |
| # function. |
| { # A message representing a metric in the measurement. |
| "value": 3.14, # Required. The value for this metric. |
| "metric": "A String", # Required. Metric name. |
| }, |
| ], |
| }, |
| "trialInfeasible": True or False, # Output only. If true, the parameters in this trial are not attempted again. |
| "startTime": "A String", # Output only. Time at which the trial was started. |
| "name": "A String", # Output only. Name of the trial assigned by the service. |
| }, |
| ], |
| }</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 name. (required) |
| body: object, The request body. |
| The object takes the form of: |
| |
| { |
| } |
| |
| 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. |
| "infeasibleReason": "A String", # Output only. A human readable string describing why the trial is |
| # infeasible. This should only be set if trial_infeasible is true. |
| "endTime": "A String", # Output only. Time at which the trial's status changed to COMPLETED. |
| "measurements": [ # A list of measurements that are strictly lexicographically |
| # ordered by their induced tuples (steps, elapsed_time). |
| # These are used for early stopping computations. |
| { # A message representing a measurement. |
| "elapsedTime": "A String", # Output only. Time that the trial has been running at the point of |
| # this measurement. |
| "stepCount": "A String", # The number of steps a machine learning model has been trained for. |
| # Must be non-negative. |
| "metrics": [ # Provides a list of metrics that act as inputs into the objective |
| # function. |
| { # A message representing a metric in the measurement. |
| "value": 3.14, # Required. The value for this metric. |
| "metric": "A String", # Required. Metric name. |
| }, |
| ], |
| }, |
| ], |
| "clientId": "A String", # Output only. The identifier of the client that originally requested this trial. |
| "parameters": [ # The parameters of the trial. |
| { # A message representing a parameter to be tuned. Contains the name of |
| # the parameter and the suggested value to use for this trial. |
| "intValue": "A String", # Must be set if ParameterType is INTEGER |
| "stringValue": "A String", # Must be set if ParameterTypeis CATEGORICAL |
| "parameter": "A String", # The name of the parameter. |
| "floatValue": 3.14, # Must be set if ParameterType is DOUBLE or DISCRETE. |
| }, |
| ], |
| "state": "A String", # The detailed state of a trial. |
| "finalMeasurement": { # A message representing a measurement. # The final measurement containing the objective value. |
| "elapsedTime": "A String", # Output only. Time that the trial has been running at the point of |
| # this measurement. |
| "stepCount": "A String", # The number of steps a machine learning model has been trained for. |
| # Must be non-negative. |
| "metrics": [ # Provides a list of metrics that act as inputs into the objective |
| # function. |
| { # A message representing a metric in the measurement. |
| "value": 3.14, # Required. The value for this metric. |
| "metric": "A String", # Required. Metric name. |
| }, |
| ], |
| }, |
| "trialInfeasible": True or False, # Output only. If true, the parameters in this trial are not attempted again. |
| "startTime": "A String", # Output only. Time at which the trial was started. |
| "name": "A String", # Output only. Name of the trial assigned by the service. |
| }</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 AI Platform Optimizer. 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 name of the study that the trial belongs to. (required) |
| body: object, The request body. |
| The object takes the form of: |
| |
| { # The request message for the SuggestTrial service method. |
| "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. |
| } |
| |
| 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. |
| "error": { # The `Status` type defines a logical error model that is suitable for # The error result of the operation in case of failure or cancellation. |
| # 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). |
| "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. |
| "code": 42, # The status code, which should be an enum value of google.rpc.Code. |
| }, |
| "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. |
| "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. |
| }, |
| "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}`. |
| }</pre> |
| </div> |
| |
| </body></html> |
