google-native.ml.v1.getTrial

Google Cloud Native v0.32.0, Nov 29 23

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

Schema (JSON)

pulumi/pulumi-google-native

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

Schema (JSON)

pulumi/pulumi-google-native

Using getTrial

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function getTrial(args: GetTrialArgs, opts?: InvokeOptions): Promise<GetTrialResult>
function getTrialOutput(args: GetTrialOutputArgs, opts?: InvokeOptions): Output<GetTrialResult>

def get_trial(location: Optional[str] = None,
              project: Optional[str] = None,
              study_id: Optional[str] = None,
              trial_id: Optional[str] = None,
              opts: Optional[InvokeOptions] = None) -> GetTrialResult
def get_trial_output(location: Optional[pulumi.Input[str]] = None,
              project: Optional[pulumi.Input[str]] = None,
              study_id: Optional[pulumi.Input[str]] = None,
              trial_id: Optional[pulumi.Input[str]] = None,
              opts: Optional[InvokeOptions] = None) -> Output[GetTrialResult]

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.

public static class GetTrial 
{
    public static Task<GetTrialResult> InvokeAsync(GetTrialArgs args, InvokeOptions? opts = null)
    public static Output<GetTrialResult> Invoke(GetTrialInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetTrialResult> getTrial(GetTrialArgs args, InvokeOptions options)
public static Output<GetTrialResult> getTrial(GetTrialArgs args, InvokeOptions options)

fn::invoke:
  function: google-native:ml/v1:getTrial
  arguments:
    # arguments dictionary

The following arguments are supported:

Location string
StudyId string
TrialId string
Project string

Location string
StudyId string
TrialId string
Project string

location String
studyId String
trialId String
project String

location string
studyId string
trialId string
project string

location str
study_id str
trial_id str
project str

location String
studyId String
trialId String
project String

getTrial Result

The following output properties are available:

ClientId string: The identifier of the client that originally requested this trial.
EndTime string: Time at which the trial's status changed to COMPLETED.
FinalMeasurement Pulumi.GoogleNative.Ml.V1.Outputs.GoogleCloudMlV1__MeasurementResponse: The final measurement containing the objective value.
InfeasibleReason string: A human readable string describing why the trial is infeasible. This should only be set if trial_infeasible is true.
Measurements List<Pulumi.GoogleNative.Ml.V1.Outputs.GoogleCloudMlV1__MeasurementResponse>: A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_time). These are used for early stopping computations.
Name string: Name of the trial assigned by the service.
Parameters List<Pulumi.GoogleNative.Ml.V1.Outputs.GoogleCloudMlV1_Trial_ParameterResponse>: The parameters of the trial.
StartTime string: Time at which the trial was started.
State string: The detailed state of a trial.
TrialInfeasible bool: If true, the parameters in this trial are not attempted again.

ClientId string: The identifier of the client that originally requested this trial.
EndTime string: Time at which the trial's status changed to COMPLETED.
FinalMeasurement GoogleCloudMlV1__MeasurementResponse: The final measurement containing the objective value.
InfeasibleReason string: A human readable string describing why the trial is infeasible. This should only be set if trial_infeasible is true.
Measurements []GoogleCloudMlV1__MeasurementResponse: A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_time). These are used for early stopping computations.
Name string: Name of the trial assigned by the service.
Parameters []GoogleCloudMlV1_Trial_ParameterResponse: The parameters of the trial.
StartTime string: Time at which the trial was started.
State string: The detailed state of a trial.
TrialInfeasible bool: If true, the parameters in this trial are not attempted again.

clientId String: The identifier of the client that originally requested this trial.
endTime String: Time at which the trial's status changed to COMPLETED.
finalMeasurement GoogleCloudMlV1__MeasurementResponse: The final measurement containing the objective value.
infeasibleReason String: A human readable string describing why the trial is infeasible. This should only be set if trial_infeasible is true.
measurements List<GoogleCloudMlV1__MeasurementResponse>: A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_time). These are used for early stopping computations.
name String: Name of the trial assigned by the service.
parameters List<GoogleCloudMlV1_Trial_ParameterResponse>: The parameters of the trial.
startTime String: Time at which the trial was started.
state String: The detailed state of a trial.
trialInfeasible Boolean: If true, the parameters in this trial are not attempted again.

clientId string: The identifier of the client that originally requested this trial.
endTime string: Time at which the trial's status changed to COMPLETED.
finalMeasurement GoogleCloudMlV1__MeasurementResponse: The final measurement containing the objective value.
infeasibleReason string: A human readable string describing why the trial is infeasible. This should only be set if trial_infeasible is true.
measurements GoogleCloudMlV1__MeasurementResponse[]: A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_time). These are used for early stopping computations.
name string: Name of the trial assigned by the service.
parameters GoogleCloudMlV1_Trial_ParameterResponse[]: The parameters of the trial.
startTime string: Time at which the trial was started.
state string: The detailed state of a trial.
trialInfeasible boolean: If true, the parameters in this trial are not attempted again.

client_id str: The identifier of the client that originally requested this trial.
end_time str: Time at which the trial's status changed to COMPLETED.
final_measurement GoogleCloudMlV1MeasurementResponse: The final measurement containing the objective value.
infeasible_reason str: A human readable string describing why the trial is infeasible. This should only be set if trial_infeasible is true.
measurements Sequence[GoogleCloudMlV1MeasurementResponse]: A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_time). These are used for early stopping computations.
name str: Name of the trial assigned by the service.
parameters Sequence[GoogleCloudMlV1Trial_ParameterResponse]: The parameters of the trial.
start_time str: Time at which the trial was started.
state str: The detailed state of a trial.
trial_infeasible bool: If true, the parameters in this trial are not attempted again.

clientId String: The identifier of the client that originally requested this trial.
endTime String: Time at which the trial's status changed to COMPLETED.
finalMeasurement Property Map: The final measurement containing the objective value.
infeasibleReason String: A human readable string describing why the trial is infeasible. This should only be set if trial_infeasible is true.
measurements List<Property Map>: A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_time). These are used for early stopping computations.
name String: Name of the trial assigned by the service.
parameters List<Property Map>: The parameters of the trial.
startTime String: Time at which the trial was started.
state String: The detailed state of a trial.
trialInfeasible Boolean: If true, the parameters in this trial are not attempted again.

Supporting Types

GoogleCloudMlV1_Measurement_MetricResponse

Metric string: Metric name.
Value double: The value for this metric.

Metric string: Metric name.
Value float64: The value for this metric.

metric String: Metric name.
value Double: The value for this metric.

metric string: Metric name.
value number: The value for this metric.

metric str: Metric name.
value float: The value for this metric.

metric String: Metric name.
value Number: The value for this metric.

GoogleCloudMlV1_Trial_ParameterResponse

FloatValue double: Must be set if ParameterType is DOUBLE or DISCRETE.
IntValue string: Must be set if ParameterType is INTEGER
Parameter string: The name of the parameter.
StringValue string: Must be set if ParameterTypeis CATEGORICAL

FloatValue float64: Must be set if ParameterType is DOUBLE or DISCRETE.
IntValue string: Must be set if ParameterType is INTEGER
Parameter string: The name of the parameter.
StringValue string: Must be set if ParameterTypeis CATEGORICAL

floatValue Double: Must be set if ParameterType is DOUBLE or DISCRETE.
intValue String: Must be set if ParameterType is INTEGER
parameter String: The name of the parameter.
stringValue String: Must be set if ParameterTypeis CATEGORICAL

floatValue number: Must be set if ParameterType is DOUBLE or DISCRETE.
intValue string: Must be set if ParameterType is INTEGER
parameter string: The name of the parameter.
stringValue string: Must be set if ParameterTypeis CATEGORICAL

float_value float: Must be set if ParameterType is DOUBLE or DISCRETE.
int_value str: Must be set if ParameterType is INTEGER
parameter str: The name of the parameter.
string_value str: Must be set if ParameterTypeis CATEGORICAL

floatValue Number: Must be set if ParameterType is DOUBLE or DISCRETE.
intValue String: Must be set if ParameterType is INTEGER
parameter String: The name of the parameter.
stringValue String: Must be set if ParameterTypeis CATEGORICAL

GoogleCloudMlV1__MeasurementResponse

ElapsedTime string: Time that the trial has been running at the point of this measurement.
Metrics List<Pulumi.GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1_Measurement_MetricResponse>: Provides a list of metrics that act as inputs into the objective function.
StepCount string: The number of steps a machine learning model has been trained for. Must be non-negative.

ElapsedTime string: Time that the trial has been running at the point of this measurement.
Metrics []GoogleCloudMlV1_Measurement_MetricResponse: Provides a list of metrics that act as inputs into the objective function.
StepCount string: The number of steps a machine learning model has been trained for. Must be non-negative.

elapsedTime String: Time that the trial has been running at the point of this measurement.
metrics List<GoogleCloudMlV1_Measurement_MetricResponse>: Provides a list of metrics that act as inputs into the objective function.
stepCount String: The number of steps a machine learning model has been trained for. Must be non-negative.

elapsedTime string: Time that the trial has been running at the point of this measurement.
metrics GoogleCloudMlV1_Measurement_MetricResponse[]: Provides a list of metrics that act as inputs into the objective function.
stepCount string: The number of steps a machine learning model has been trained for. Must be non-negative.

elapsed_time str: Time that the trial has been running at the point of this measurement.
metrics Sequence[GoogleCloudMlV1Measurement_MetricResponse]: Provides a list of metrics that act as inputs into the objective function.
step_count str: The number of steps a machine learning model has been trained for. Must be non-negative.

elapsedTime String: Time that the trial has been running at the point of this measurement.
metrics List<Property Map>: Provides a list of metrics that act as inputs into the objective function.
stepCount String: The number of steps a machine learning model has been trained for. Must be non-negative.