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Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

google-native.aiplatform/v1beta1.Trial

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

    Adds a user provided Trial to a Study. Auto-naming is currently not supported for this resource.

    Create Trial Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new Trial(name: string, args: TrialArgs, opts?: CustomResourceOptions);
    @overload
def Trial(resource_name: str,
          args: TrialArgs,
          opts: Optional[ResourceOptions] = None)

@overload
def Trial(resource_name: str,
          opts: Optional[ResourceOptions] = None,
          study_id: Optional[str] = None,
          location: Optional[str] = None,
          project: Optional[str] = None)
    func NewTrial(ctx *Context, name string, args TrialArgs, opts ...ResourceOption) (*Trial, error)
    public Trial(string name, TrialArgs args, CustomResourceOptions? opts = null)
    public Trial(String name, TrialArgs args)
public Trial(String name, TrialArgs args, CustomResourceOptions options)

    type: google-native:aiplatform/v1beta1:Trial
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args TrialArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args TrialArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args TrialArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args TrialArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args TrialArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var google_nativeTrialResource = new GoogleNative.Aiplatform.V1Beta1.Trial("google-nativeTrialResource", new()
{
    StudyId = "string",
    Location = "string",
    Project = "string",
});

    example, err := aiplatformv1beta1.NewTrial(ctx, "google-nativeTrialResource", &aiplatformv1beta1.TrialArgs{
	StudyId:  pulumi.String("string"),
	Location: pulumi.String("string"),
	Project:  pulumi.String("string"),
})

    var google_nativeTrialResource = new Trial("google-nativeTrialResource", TrialArgs.builder()
    .studyId("string")
    .location("string")
    .project("string")
    .build());

    google_native_trial_resource = google_native.aiplatform.v1beta1.Trial("google-nativeTrialResource",
    study_id="string",
    location="string",
    project="string")

    const google_nativeTrialResource = new google_native.aiplatform.v1beta1.Trial("google-nativeTrialResource", {
    studyId: "string",
    location: "string",
    project: "string",
});

    type: google-native:aiplatform/v1beta1:Trial
properties:
    location: string
    project: string
    studyId: string

    Trial Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The Trial resource accepts the following input properties:

    StudyId string
    Location string
    Project string
    StudyId string
    Location string
    Project string
    studyId String
    location String
    project String
    studyId string
    location string
    project string
    studyId String
    location String
    project String

    Outputs

    All input properties are implicitly available as output properties. Additionally, the Trial resource produces the following output properties:

    ClientId string
    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 string
    The CustomJob name linked to the Trial. It's set for a HyperparameterTuningJob's Trial.
    EndTime string
    Time when the Trial's status changed to SUCCEEDED or INFEASIBLE.
    FinalMeasurement Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleCloudAiplatformV1beta1MeasurementResponse
    The final measurement containing the objective value.
    Id string
    The provider-assigned unique ID for this managed resource.
    InfeasibleReason string
    A human readable string describing why the Trial is infeasible. This is set only if Trial state is INFEASIBLE.
    Measurements List<Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleCloudAiplatformV1beta1MeasurementResponse>
    A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_duration). These are used for early stopping computations.
    Name string
    Resource name of the Trial assigned by the service.
    Parameters List<Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleCloudAiplatformV1beta1TrialParameterResponse>
    The parameters of the Trial.
    StartTime string
    Time when the Trial was started.
    State string
    The detailed state of the Trial.
    WebAccessUris Dictionary<string, string>
    URIs for accessing interactive shells (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.
    ClientId string
    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 string
    The CustomJob name linked to the Trial. It's set for a HyperparameterTuningJob's Trial.
    EndTime string
    Time when the Trial's status changed to SUCCEEDED or INFEASIBLE.
    FinalMeasurement GoogleCloudAiplatformV1beta1MeasurementResponse
    The final measurement containing the objective value.
    Id string
    The provider-assigned unique ID for this managed resource.
    InfeasibleReason string
    A human readable string describing why the Trial is infeasible. This is set only if Trial state is INFEASIBLE.
    Measurements []GoogleCloudAiplatformV1beta1MeasurementResponse
    A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_duration). These are used for early stopping computations.
    Name string
    Resource name of the Trial assigned by the service.
    Parameters []GoogleCloudAiplatformV1beta1TrialParameterResponse
    The parameters of the Trial.
    StartTime string
    Time when the Trial was started.
    State string
    The detailed state of the Trial.
    WebAccessUris map[string]string
    URIs for accessing interactive shells (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.
    clientId String
    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 String
    The CustomJob name linked to the Trial. It's set for a HyperparameterTuningJob's Trial.
    endTime String
    Time when the Trial's status changed to SUCCEEDED or INFEASIBLE.
    finalMeasurement GoogleCloudAiplatformV1beta1MeasurementResponse
    The final measurement containing the objective value.
    id String
    The provider-assigned unique ID for this managed resource.
    infeasibleReason String
    A human readable string describing why the Trial is infeasible. This is set only if Trial state is INFEASIBLE.
    measurements List<GoogleCloudAiplatformV1beta1MeasurementResponse>
    A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_duration). These are used for early stopping computations.
    name String
    Resource name of the Trial assigned by the service.
    parameters List<GoogleCloudAiplatformV1beta1TrialParameterResponse>
    The parameters of the Trial.
    startTime String
    Time when the Trial was started.
    state String
    The detailed state of the Trial.
    webAccessUris Map<String,String>
    URIs for accessing interactive shells (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.
    clientId string
    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 string
    The CustomJob name linked to the Trial. It's set for a HyperparameterTuningJob's Trial.
    endTime string
    Time when the Trial's status changed to SUCCEEDED or INFEASIBLE.
    finalMeasurement GoogleCloudAiplatformV1beta1MeasurementResponse
    The final measurement containing the objective value.
    id string
    The provider-assigned unique ID for this managed resource.
    infeasibleReason string
    A human readable string describing why the Trial is infeasible. This is set only if Trial state is INFEASIBLE.
    measurements GoogleCloudAiplatformV1beta1MeasurementResponse[]
    A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_duration). These are used for early stopping computations.
    name string
    Resource name of the Trial assigned by the service.
    parameters GoogleCloudAiplatformV1beta1TrialParameterResponse[]
    The parameters of the Trial.
    startTime string
    Time when the Trial was started.
    state string
    The detailed state of the Trial.
    webAccessUris {[key: string]: string}
    URIs for accessing interactive shells (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.
    client_id str
    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.
    custom_job str
    The CustomJob name linked to the Trial. It's set for a HyperparameterTuningJob's Trial.
    end_time str
    Time when the Trial's status changed to SUCCEEDED or INFEASIBLE.
    final_measurement GoogleCloudAiplatformV1beta1MeasurementResponse
    The final measurement containing the objective value.
    id str
    The provider-assigned unique ID for this managed resource.
    infeasible_reason str
    A human readable string describing why the Trial is infeasible. This is set only if Trial state is INFEASIBLE.
    measurements Sequence[GoogleCloudAiplatformV1beta1MeasurementResponse]
    A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_duration). These are used for early stopping computations.
    name str
    Resource name of the Trial assigned by the service.
    parameters Sequence[GoogleCloudAiplatformV1beta1TrialParameterResponse]
    The parameters of the Trial.
    start_time str
    Time when the Trial was started.
    state str
    The detailed state of the Trial.
    web_access_uris Mapping[str, str]
    URIs for accessing interactive shells (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.
    clientId String
    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 String
    The CustomJob name linked to the Trial. It's set for a HyperparameterTuningJob's Trial.
    endTime String
    Time when the Trial's status changed to SUCCEEDED or INFEASIBLE.
    finalMeasurement Property Map
    The final measurement containing the objective value.
    id String
    The provider-assigned unique ID for this managed resource.
    infeasibleReason String
    A human readable string describing why the Trial is infeasible. This is set only if Trial state is INFEASIBLE.
    measurements List<Property Map>
    A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_duration). These are used for early stopping computations.
    name String
    Resource name of the Trial assigned by the service.
    parameters List<Property Map>
    The parameters of the Trial.
    startTime String
    Time when the Trial was started.
    state String
    The detailed state of the Trial.
    webAccessUris Map<String>
    URIs for accessing interactive shells (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.

    Supporting Types

    GoogleCloudAiplatformV1beta1MeasurementMetricResponse, GoogleCloudAiplatformV1beta1MeasurementMetricResponseArgs

    MetricId string
    The ID of the Metric. The Metric should be defined in StudySpec's Metrics.
    Value double
    The value for this metric.
    MetricId string
    The ID of the Metric. The Metric should be defined in StudySpec's Metrics.
    Value float64
    The value for this metric.
    metricId String
    The ID of the Metric. The Metric should be defined in StudySpec's Metrics.
    value Double
    The value for this metric.
    metricId string
    The ID of the Metric. The Metric should be defined in StudySpec's Metrics.
    value number
    The value for this metric.
    metric_id str
    The ID of the Metric. The Metric should be defined in StudySpec's Metrics.
    value float
    The value for this metric.
    metricId String
    The ID of the Metric. The Metric should be defined in StudySpec's Metrics.
    value Number
    The value for this metric.

    GoogleCloudAiplatformV1beta1MeasurementResponse, GoogleCloudAiplatformV1beta1MeasurementResponseArgs

    ElapsedDuration string
    Time that the Trial has been running at the point of this Measurement.
    Metrics List<Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1MeasurementMetricResponse>
    A list of metrics got by evaluating the objective functions using suggested Parameter values.
    StepCount string
    The number of steps the machine learning model has been trained for. Must be non-negative.
    ElapsedDuration string
    Time that the Trial has been running at the point of this Measurement.
    Metrics []GoogleCloudAiplatformV1beta1MeasurementMetricResponse
    A list of metrics got by evaluating the objective functions using suggested Parameter values.
    StepCount string
    The number of steps the machine learning model has been trained for. Must be non-negative.
    elapsedDuration String
    Time that the Trial has been running at the point of this Measurement.
    metrics List<GoogleCloudAiplatformV1beta1MeasurementMetricResponse>
    A list of metrics got by evaluating the objective functions using suggested Parameter values.
    stepCount String
    The number of steps the machine learning model has been trained for. Must be non-negative.
    elapsedDuration string
    Time that the Trial has been running at the point of this Measurement.
    metrics GoogleCloudAiplatformV1beta1MeasurementMetricResponse[]
    A list of metrics got by evaluating the objective functions using suggested Parameter values.
    stepCount string
    The number of steps the machine learning model has been trained for. Must be non-negative.
    elapsed_duration str
    Time that the Trial has been running at the point of this Measurement.
    metrics Sequence[GoogleCloudAiplatformV1beta1MeasurementMetricResponse]
    A list of metrics got by evaluating the objective functions using suggested Parameter values.
    step_count str
    The number of steps the machine learning model has been trained for. Must be non-negative.
    elapsedDuration String
    Time that the Trial has been running at the point of this Measurement.
    metrics List<Property Map>
    A list of metrics got by evaluating the objective functions using suggested Parameter values.
    stepCount String
    The number of steps the machine learning model has been trained for. Must be non-negative.

    GoogleCloudAiplatformV1beta1TrialParameterResponse, GoogleCloudAiplatformV1beta1TrialParameterResponseArgs

    ParameterId string
    The ID of the parameter. The parameter should be defined in StudySpec's Parameters.
    Value object
    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'.
    ParameterId string
    The ID of the parameter. The parameter should be defined in StudySpec's Parameters.
    Value interface{}
    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'.
    parameterId String
    The ID of the parameter. The parameter should be defined in StudySpec's Parameters.
    value Object
    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'.
    parameterId string
    The ID of the parameter. The parameter should be defined in StudySpec's Parameters.
    value any
    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'.
    parameter_id str
    The ID of the parameter. The parameter should be defined in StudySpec's Parameters.
    value Any
    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'.
    parameterId String
    The ID of the parameter. The parameter should be defined in StudySpec's Parameters.
    value Any
    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'.

    Package Details

    Repository
    Google Cloud Native pulumi/pulumi-google-native
    License
    Apache-2.0
    google-native logo

    Google Cloud Native is in preview. Google Cloud Classic is fully supported.

    Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
    pulumi/pulumi-google-native