google-native.aiplatform/v1beta1.getTrial

func LookupTrial(ctx *Context, args *LookupTrialArgs, opts ...InvokeOption) (*LookupTrialResult, error)
func LookupTrialOutput(ctx *Context, args *LookupTrialOutputArgs, opts ...InvokeOption) LookupTrialResultOutput

> Note: This function is named LookupTrial in the Go SDK.

Location This property is required. string

StudyId This property is required. string

TrialId This property is required. string

Project string

Location This property is required. string

StudyId This property is required. string

TrialId This property is required. string

Project string

location This property is required. String

studyId This property is required. String

trialId This property is required. String

project String

location This property is required. str

study_id This property is required. str

trial_id This property is required. str

project str

location This property is required. String

studyId This property is required. String

trialId This property is required. String

project String

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.

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.

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.

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.

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.

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.

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.

MetricId This property is required. string

The ID of the Metric. The Metric should be defined in StudySpec's Metrics.

Value This property is required. double

The value for this metric.

MetricId This property is required. string

The ID of the Metric. The Metric should be defined in StudySpec's Metrics.

Value This property is required. float64

The value for this metric.

metricId This property is required. String

The ID of the Metric. The Metric should be defined in StudySpec's Metrics.

value This property is required. Double

The value for this metric.

metric_id This property is required. str

The ID of the Metric. The Metric should be defined in StudySpec's Metrics.

value This property is required. float

The value for this metric.

metricId This property is required. String

The ID of the Metric. The Metric should be defined in StudySpec's Metrics.

value This property is required. Number

The value for this metric.

ElapsedDuration This property is required. string

Time that the Trial has been running at the point of this Measurement.

Metrics This property is required. List<Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1MeasurementMetricResponse>

A list of metrics got by evaluating the objective functions using suggested Parameter values.

StepCount This property is required. string

The number of steps the machine learning model has been trained for. Must be non-negative.

ElapsedDuration This property is required. string

Time that the Trial has been running at the point of this Measurement.

Metrics This property is required. []GoogleCloudAiplatformV1beta1MeasurementMetricResponse

A list of metrics got by evaluating the objective functions using suggested Parameter values.

StepCount This property is required. string

The number of steps the machine learning model has been trained for. Must be non-negative.

elapsedDuration This property is required. String

Time that the Trial has been running at the point of this Measurement.

metrics This property is required. List<GoogleCloudAiplatformV1beta1MeasurementMetricResponse>

A list of metrics got by evaluating the objective functions using suggested Parameter values.

stepCount This property is required. String

The number of steps the machine learning model has been trained for. Must be non-negative.

elapsed_duration This property is required. str

Time that the Trial has been running at the point of this Measurement.

metrics This property is required. Sequence[GoogleCloudAiplatformV1beta1MeasurementMetricResponse]

A list of metrics got by evaluating the objective functions using suggested Parameter values.

step_count This property is required. str

The number of steps the machine learning model has been trained for. Must be non-negative.

elapsedDuration This property is required. String

Time that the Trial has been running at the point of this Measurement.

metrics This property is required. List<Property Map>

A list of metrics got by evaluating the objective functions using suggested Parameter values.

stepCount This property is required. String

The number of steps the machine learning model has been trained for. Must be non-negative.

ParameterId This property is required. string

The ID of the parameter. The parameter should be defined in StudySpec's Parameters.

Value This property is required. 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 This property is required. string

The ID of the parameter. The parameter should be defined in StudySpec's Parameters.

Value This property is required. 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 This property is required. String

The ID of the parameter. The parameter should be defined in StudySpec's Parameters.

value This property is required. 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'.

parameter_id This property is required. str

The ID of the parameter. The parameter should be defined in StudySpec's Parameters.

value This property is required. 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 This property is required. String

The ID of the parameter. The parameter should be defined in StudySpec's Parameters.

value This property is required. 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'.