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

google-native.ml/v1.getStudy

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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

    Gets a study.

    Using getStudy

    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 getStudy(args: GetStudyArgs, opts?: InvokeOptions): Promise<GetStudyResult>
function getStudyOutput(args: GetStudyOutputArgs, opts?: InvokeOptions): Output<GetStudyResult>
    def get_study(location: Optional[str] = None,
              project: Optional[str] = None,
              study_id: Optional[str] = None,
              opts: Optional[InvokeOptions] = None) -> GetStudyResult
def get_study_output(location: Optional[pulumi.Input[str]] = None,
              project: Optional[pulumi.Input[str]] = None,
              study_id: Optional[pulumi.Input[str]] = None,
              opts: Optional[InvokeOptions] = None) -> Output[GetStudyResult]
    func LookupStudy(ctx *Context, args *LookupStudyArgs, opts ...InvokeOption) (*LookupStudyResult, error)
func LookupStudyOutput(ctx *Context, args *LookupStudyOutputArgs, opts ...InvokeOption) LookupStudyResultOutput

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

    public static class GetStudy 
{
    public static Task<GetStudyResult> InvokeAsync(GetStudyArgs args, InvokeOptions? opts = null)
    public static Output<GetStudyResult> Invoke(GetStudyInvokeArgs args, InvokeOptions? opts = null)
}
    public static CompletableFuture<GetStudyResult> getStudy(GetStudyArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet

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

    The following arguments are supported:

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

    getStudy Result

    The following output properties are available:

    CreateTime string
    Time at which the study was created.
    InactiveReason string
    A human readable reason why the Study is inactive. This should be empty if a study is ACTIVE or COMPLETED.
    Name string
    The name of a study.
    State string
    The detailed state of a study.
    StudyConfig Pulumi.GoogleNative.Ml.V1.Outputs.GoogleCloudMlV1__StudyConfigResponse
    Configuration of the study.
    CreateTime string
    Time at which the study was created.
    InactiveReason string
    A human readable reason why the Study is inactive. This should be empty if a study is ACTIVE or COMPLETED.
    Name string
    The name of a study.
    State string
    The detailed state of a study.
    StudyConfig GoogleCloudMlV1__StudyConfigResponse
    Configuration of the study.
    createTime String
    Time at which the study was created.
    inactiveReason String
    A human readable reason why the Study is inactive. This should be empty if a study is ACTIVE or COMPLETED.
    name String
    The name of a study.
    state String
    The detailed state of a study.
    studyConfig GoogleCloudMlV1__StudyConfigResponse
    Configuration of the study.
    createTime string
    Time at which the study was created.
    inactiveReason string
    A human readable reason why the Study is inactive. This should be empty if a study is ACTIVE or COMPLETED.
    name string
    The name of a study.
    state string
    The detailed state of a study.
    studyConfig GoogleCloudMlV1__StudyConfigResponse
    Configuration of the study.
    create_time str
    Time at which the study was created.
    inactive_reason str
    A human readable reason why the Study is inactive. This should be empty if a study is ACTIVE or COMPLETED.
    name str
    The name of a study.
    state str
    The detailed state of a study.
    study_config GoogleCloudMlV1StudyConfigResponse
    Configuration of the study.
    createTime String
    Time at which the study was created.
    inactiveReason String
    A human readable reason why the Study is inactive. This should be empty if a study is ACTIVE or COMPLETED.
    name String
    The name of a study.
    state String
    The detailed state of a study.
    studyConfig Property Map
    Configuration of the study.

    Supporting Types

    GoogleCloudMlV1_AutomatedStoppingConfig_DecayCurveAutomatedStoppingConfigResponse

    UseElapsedTime bool
    If true, measurement.elapsed_time is used as the x-axis of each Trials Decay Curve. Otherwise, Measurement.steps will be used as the x-axis.
    UseElapsedTime bool
    If true, measurement.elapsed_time is used as the x-axis of each Trials Decay Curve. Otherwise, Measurement.steps will be used as the x-axis.
    useElapsedTime Boolean
    If true, measurement.elapsed_time is used as the x-axis of each Trials Decay Curve. Otherwise, Measurement.steps will be used as the x-axis.
    useElapsedTime boolean
    If true, measurement.elapsed_time is used as the x-axis of each Trials Decay Curve. Otherwise, Measurement.steps will be used as the x-axis.
    use_elapsed_time bool
    If true, measurement.elapsed_time is used as the x-axis of each Trials Decay Curve. Otherwise, Measurement.steps will be used as the x-axis.
    useElapsedTime Boolean
    If true, measurement.elapsed_time is used as the x-axis of each Trials Decay Curve. Otherwise, Measurement.steps will be used as the x-axis.

    GoogleCloudMlV1_AutomatedStoppingConfig_MedianAutomatedStoppingConfigResponse

    UseElapsedTime bool
    If true, the median automated stopping rule applies to measurement.use_elapsed_time, which means the elapsed_time field of the current trial's latest measurement is used to compute the median objective value for each completed trial.
    UseElapsedTime bool
    If true, the median automated stopping rule applies to measurement.use_elapsed_time, which means the elapsed_time field of the current trial's latest measurement is used to compute the median objective value for each completed trial.
    useElapsedTime Boolean
    If true, the median automated stopping rule applies to measurement.use_elapsed_time, which means the elapsed_time field of the current trial's latest measurement is used to compute the median objective value for each completed trial.
    useElapsedTime boolean
    If true, the median automated stopping rule applies to measurement.use_elapsed_time, which means the elapsed_time field of the current trial's latest measurement is used to compute the median objective value for each completed trial.
    use_elapsed_time bool
    If true, the median automated stopping rule applies to measurement.use_elapsed_time, which means the elapsed_time field of the current trial's latest measurement is used to compute the median objective value for each completed trial.
    useElapsedTime Boolean
    If true, the median automated stopping rule applies to measurement.use_elapsed_time, which means the elapsed_time field of the current trial's latest measurement is used to compute the median objective value for each completed trial.

    GoogleCloudMlV1_StudyConfigParameterSpec_CategoricalValueSpecResponse

    Values List<string>
    Must be specified if type is CATEGORICAL. The list of possible categories.
    Values []string
    Must be specified if type is CATEGORICAL. The list of possible categories.
    values List<String>
    Must be specified if type is CATEGORICAL. The list of possible categories.
    values string[]
    Must be specified if type is CATEGORICAL. The list of possible categories.
    values Sequence[str]
    Must be specified if type is CATEGORICAL. The list of possible categories.
    values List<String>
    Must be specified if type is CATEGORICAL. The list of possible categories.

    GoogleCloudMlV1_StudyConfigParameterSpec_DiscreteValueSpecResponse

    Values List<double>
    Must be specified if type is DISCRETE. A list of feasible points. The list should be in strictly increasing order. For instance, this parameter might have possible settings of 1.5, 2.5, and 4.0. This list should not contain more than 1,000 values.
    Values []float64
    Must be specified if type is DISCRETE. A list of feasible points. The list should be in strictly increasing order. For instance, this parameter might have possible settings of 1.5, 2.5, and 4.0. This list should not contain more than 1,000 values.
    values List<Double>
    Must be specified if type is DISCRETE. A list of feasible points. The list should be in strictly increasing order. For instance, this parameter might have possible settings of 1.5, 2.5, and 4.0. This list should not contain more than 1,000 values.
    values number[]
    Must be specified if type is DISCRETE. A list of feasible points. The list should be in strictly increasing order. For instance, this parameter might have possible settings of 1.5, 2.5, and 4.0. This list should not contain more than 1,000 values.
    values Sequence[float]
    Must be specified if type is DISCRETE. A list of feasible points. The list should be in strictly increasing order. For instance, this parameter might have possible settings of 1.5, 2.5, and 4.0. This list should not contain more than 1,000 values.
    values List<Number>
    Must be specified if type is DISCRETE. A list of feasible points. The list should be in strictly increasing order. For instance, this parameter might have possible settings of 1.5, 2.5, and 4.0. This list should not contain more than 1,000 values.

    GoogleCloudMlV1_StudyConfigParameterSpec_DoubleValueSpecResponse

    MaxValue double
    Must be specified if type is DOUBLE. Maximum value of the parameter.
    MinValue double
    Must be specified if type is DOUBLE. Minimum value of the parameter.
    MaxValue float64
    Must be specified if type is DOUBLE. Maximum value of the parameter.
    MinValue float64
    Must be specified if type is DOUBLE. Minimum value of the parameter.
    maxValue Double
    Must be specified if type is DOUBLE. Maximum value of the parameter.
    minValue Double
    Must be specified if type is DOUBLE. Minimum value of the parameter.
    maxValue number
    Must be specified if type is DOUBLE. Maximum value of the parameter.
    minValue number
    Must be specified if type is DOUBLE. Minimum value of the parameter.
    max_value float
    Must be specified if type is DOUBLE. Maximum value of the parameter.
    min_value float
    Must be specified if type is DOUBLE. Minimum value of the parameter.
    maxValue Number
    Must be specified if type is DOUBLE. Maximum value of the parameter.
    minValue Number
    Must be specified if type is DOUBLE. Minimum value of the parameter.

    GoogleCloudMlV1_StudyConfigParameterSpec_IntegerValueSpecResponse

    MaxValue string
    Must be specified if type is INTEGER. Maximum value of the parameter.
    MinValue string
    Must be specified if type is INTEGER. Minimum value of the parameter.
    MaxValue string
    Must be specified if type is INTEGER. Maximum value of the parameter.
    MinValue string
    Must be specified if type is INTEGER. Minimum value of the parameter.
    maxValue String
    Must be specified if type is INTEGER. Maximum value of the parameter.
    minValue String
    Must be specified if type is INTEGER. Minimum value of the parameter.
    maxValue string
    Must be specified if type is INTEGER. Maximum value of the parameter.
    minValue string
    Must be specified if type is INTEGER. Minimum value of the parameter.
    max_value str
    Must be specified if type is INTEGER. Maximum value of the parameter.
    min_value str
    Must be specified if type is INTEGER. Minimum value of the parameter.
    maxValue String
    Must be specified if type is INTEGER. Maximum value of the parameter.
    minValue String
    Must be specified if type is INTEGER. Minimum value of the parameter.

    GoogleCloudMlV1_StudyConfigParameterSpec_MatchingParentCategoricalValueSpecResponse

    Values List<string>
    Matches values of the parent parameter with type 'CATEGORICAL'. All values must exist in categorical_value_spec of parent parameter.
    Values []string
    Matches values of the parent parameter with type 'CATEGORICAL'. All values must exist in categorical_value_spec of parent parameter.
    values List<String>
    Matches values of the parent parameter with type 'CATEGORICAL'. All values must exist in categorical_value_spec of parent parameter.
    values string[]
    Matches values of the parent parameter with type 'CATEGORICAL'. All values must exist in categorical_value_spec of parent parameter.
    values Sequence[str]
    Matches values of the parent parameter with type 'CATEGORICAL'. All values must exist in categorical_value_spec of parent parameter.
    values List<String>
    Matches values of the parent parameter with type 'CATEGORICAL'. All values must exist in categorical_value_spec of parent parameter.

    GoogleCloudMlV1_StudyConfigParameterSpec_MatchingParentDiscreteValueSpecResponse

    Values List<double>
    Matches values of the parent parameter with type 'DISCRETE'. All values must exist in discrete_value_spec of parent parameter.
    Values []float64
    Matches values of the parent parameter with type 'DISCRETE'. All values must exist in discrete_value_spec of parent parameter.
    values List<Double>
    Matches values of the parent parameter with type 'DISCRETE'. All values must exist in discrete_value_spec of parent parameter.
    values number[]
    Matches values of the parent parameter with type 'DISCRETE'. All values must exist in discrete_value_spec of parent parameter.
    values Sequence[float]
    Matches values of the parent parameter with type 'DISCRETE'. All values must exist in discrete_value_spec of parent parameter.
    values List<Number>
    Matches values of the parent parameter with type 'DISCRETE'. All values must exist in discrete_value_spec of parent parameter.

    GoogleCloudMlV1_StudyConfigParameterSpec_MatchingParentIntValueSpecResponse

    Values List<string>
    Matches values of the parent parameter with type 'INTEGER'. All values must lie in integer_value_spec of parent parameter.
    Values []string
    Matches values of the parent parameter with type 'INTEGER'. All values must lie in integer_value_spec of parent parameter.
    values List<String>
    Matches values of the parent parameter with type 'INTEGER'. All values must lie in integer_value_spec of parent parameter.
    values string[]
    Matches values of the parent parameter with type 'INTEGER'. All values must lie in integer_value_spec of parent parameter.
    values Sequence[str]
    Matches values of the parent parameter with type 'INTEGER'. All values must lie in integer_value_spec of parent parameter.
    values List<String>
    Matches values of the parent parameter with type 'INTEGER'. All values must lie in integer_value_spec of parent parameter.

    GoogleCloudMlV1_StudyConfig_MetricSpecResponse

    Goal string
    The optimization goal of the metric.
    Metric string
    The name of the metric.
    Goal string
    The optimization goal of the metric.
    Metric string
    The name of the metric.
    goal String
    The optimization goal of the metric.
    metric String
    The name of the metric.
    goal string
    The optimization goal of the metric.
    metric string
    The name of the metric.
    goal str
    The optimization goal of the metric.
    metric str
    The name of the metric.
    goal String
    The optimization goal of the metric.
    metric String
    The name of the metric.

    GoogleCloudMlV1_StudyConfig_ParameterSpecResponse

    CategoricalValueSpec Pulumi.GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1_StudyConfigParameterSpec_CategoricalValueSpecResponse
    The value spec for a 'CATEGORICAL' parameter.
    ChildParameterSpecs List<Pulumi.GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1_StudyConfig_ParameterSpecResponse>
    A child node is active if the parameter's value matches the child node's matching_parent_values. If two items in child_parameter_specs have the same name, they must have disjoint matching_parent_values.
    DiscreteValueSpec Pulumi.GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1_StudyConfigParameterSpec_DiscreteValueSpecResponse
    The value spec for a 'DISCRETE' parameter.
    DoubleValueSpec Pulumi.GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1_StudyConfigParameterSpec_DoubleValueSpecResponse
    The value spec for a 'DOUBLE' parameter.
    IntegerValueSpec Pulumi.GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1_StudyConfigParameterSpec_IntegerValueSpecResponse
    The value spec for an 'INTEGER' parameter.
    Parameter string
    The parameter name must be unique amongst all ParameterSpecs.
    ParentCategoricalValues Pulumi.GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1_StudyConfigParameterSpec_MatchingParentCategoricalValueSpecResponse
    ParentDiscreteValues Pulumi.GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1_StudyConfigParameterSpec_MatchingParentDiscreteValueSpecResponse
    ParentIntValues Pulumi.GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1_StudyConfigParameterSpec_MatchingParentIntValueSpecResponse
    ScaleType string
    How the parameter should be scaled. Leave unset for categorical parameters.
    Type string
    The type of the parameter.
    CategoricalValueSpec GoogleCloudMlV1_StudyConfigParameterSpec_CategoricalValueSpecResponse
    The value spec for a 'CATEGORICAL' parameter.
    ChildParameterSpecs []GoogleCloudMlV1_StudyConfig_ParameterSpecResponse
    A child node is active if the parameter's value matches the child node's matching_parent_values. If two items in child_parameter_specs have the same name, they must have disjoint matching_parent_values.
    DiscreteValueSpec GoogleCloudMlV1_StudyConfigParameterSpec_DiscreteValueSpecResponse
    The value spec for a 'DISCRETE' parameter.
    DoubleValueSpec GoogleCloudMlV1_StudyConfigParameterSpec_DoubleValueSpecResponse
    The value spec for a 'DOUBLE' parameter.
    IntegerValueSpec GoogleCloudMlV1_StudyConfigParameterSpec_IntegerValueSpecResponse
    The value spec for an 'INTEGER' parameter.
    Parameter string
    The parameter name must be unique amongst all ParameterSpecs.
    ParentCategoricalValues GoogleCloudMlV1_StudyConfigParameterSpec_MatchingParentCategoricalValueSpecResponse
    ParentDiscreteValues GoogleCloudMlV1_StudyConfigParameterSpec_MatchingParentDiscreteValueSpecResponse
    ParentIntValues GoogleCloudMlV1_StudyConfigParameterSpec_MatchingParentIntValueSpecResponse
    ScaleType string
    How the parameter should be scaled. Leave unset for categorical parameters.
    Type string
    The type of the parameter.
    categoricalValueSpec GoogleCloudMlV1_StudyConfigParameterSpec_CategoricalValueSpecResponse
    The value spec for a 'CATEGORICAL' parameter.
    childParameterSpecs List<GoogleCloudMlV1_StudyConfig_ParameterSpecResponse>
    A child node is active if the parameter's value matches the child node's matching_parent_values. If two items in child_parameter_specs have the same name, they must have disjoint matching_parent_values.
    discreteValueSpec GoogleCloudMlV1_StudyConfigParameterSpec_DiscreteValueSpecResponse
    The value spec for a 'DISCRETE' parameter.
    doubleValueSpec GoogleCloudMlV1_StudyConfigParameterSpec_DoubleValueSpecResponse
    The value spec for a 'DOUBLE' parameter.
    integerValueSpec GoogleCloudMlV1_StudyConfigParameterSpec_IntegerValueSpecResponse
    The value spec for an 'INTEGER' parameter.
    parameter String
    The parameter name must be unique amongst all ParameterSpecs.
    parentCategoricalValues GoogleCloudMlV1_StudyConfigParameterSpec_MatchingParentCategoricalValueSpecResponse
    parentDiscreteValues GoogleCloudMlV1_StudyConfigParameterSpec_MatchingParentDiscreteValueSpecResponse
    parentIntValues GoogleCloudMlV1_StudyConfigParameterSpec_MatchingParentIntValueSpecResponse
    scaleType String
    How the parameter should be scaled. Leave unset for categorical parameters.
    type String
    The type of the parameter.
    categoricalValueSpec GoogleCloudMlV1_StudyConfigParameterSpec_CategoricalValueSpecResponse
    The value spec for a 'CATEGORICAL' parameter.
    childParameterSpecs GoogleCloudMlV1_StudyConfig_ParameterSpecResponse[]
    A child node is active if the parameter's value matches the child node's matching_parent_values. If two items in child_parameter_specs have the same name, they must have disjoint matching_parent_values.
    discreteValueSpec GoogleCloudMlV1_StudyConfigParameterSpec_DiscreteValueSpecResponse
    The value spec for a 'DISCRETE' parameter.
    doubleValueSpec GoogleCloudMlV1_StudyConfigParameterSpec_DoubleValueSpecResponse
    The value spec for a 'DOUBLE' parameter.
    integerValueSpec GoogleCloudMlV1_StudyConfigParameterSpec_IntegerValueSpecResponse
    The value spec for an 'INTEGER' parameter.
    parameter string
    The parameter name must be unique amongst all ParameterSpecs.
    parentCategoricalValues GoogleCloudMlV1_StudyConfigParameterSpec_MatchingParentCategoricalValueSpecResponse
    parentDiscreteValues GoogleCloudMlV1_StudyConfigParameterSpec_MatchingParentDiscreteValueSpecResponse
    parentIntValues GoogleCloudMlV1_StudyConfigParameterSpec_MatchingParentIntValueSpecResponse
    scaleType string
    How the parameter should be scaled. Leave unset for categorical parameters.
    type string
    The type of the parameter.
    categorical_value_spec GoogleCloudMlV1StudyConfigParameterSpec_CategoricalValueSpecResponse
    The value spec for a 'CATEGORICAL' parameter.
    child_parameter_specs Sequence[GoogleCloudMlV1StudyConfig_ParameterSpecResponse]
    A child node is active if the parameter's value matches the child node's matching_parent_values. If two items in child_parameter_specs have the same name, they must have disjoint matching_parent_values.
    discrete_value_spec GoogleCloudMlV1StudyConfigParameterSpec_DiscreteValueSpecResponse
    The value spec for a 'DISCRETE' parameter.
    double_value_spec GoogleCloudMlV1StudyConfigParameterSpec_DoubleValueSpecResponse
    The value spec for a 'DOUBLE' parameter.
    integer_value_spec GoogleCloudMlV1StudyConfigParameterSpec_IntegerValueSpecResponse
    The value spec for an 'INTEGER' parameter.
    parameter str
    The parameter name must be unique amongst all ParameterSpecs.
    parent_categorical_values GoogleCloudMlV1StudyConfigParameterSpec_MatchingParentCategoricalValueSpecResponse
    parent_discrete_values GoogleCloudMlV1StudyConfigParameterSpec_MatchingParentDiscreteValueSpecResponse
    parent_int_values GoogleCloudMlV1StudyConfigParameterSpec_MatchingParentIntValueSpecResponse
    scale_type str
    How the parameter should be scaled. Leave unset for categorical parameters.
    type str
    The type of the parameter.
    categoricalValueSpec Property Map
    The value spec for a 'CATEGORICAL' parameter.
    childParameterSpecs List<Property Map>
    A child node is active if the parameter's value matches the child node's matching_parent_values. If two items in child_parameter_specs have the same name, they must have disjoint matching_parent_values.
    discreteValueSpec Property Map
    The value spec for a 'DISCRETE' parameter.
    doubleValueSpec Property Map
    The value spec for a 'DOUBLE' parameter.
    integerValueSpec Property Map
    The value spec for an 'INTEGER' parameter.
    parameter String
    The parameter name must be unique amongst all ParameterSpecs.
    parentCategoricalValues Property Map
    parentDiscreteValues Property Map
    parentIntValues Property Map
    scaleType String
    How the parameter should be scaled. Leave unset for categorical parameters.
    type String
    The type of the parameter.

    GoogleCloudMlV1__AutomatedStoppingConfigResponse

    GoogleCloudMlV1__StudyConfigResponse

    Algorithm string
    The search algorithm specified for the study.
    AutomatedStoppingConfig GoogleCloudMlV1__AutomatedStoppingConfigResponse
    Configuration for automated stopping of unpromising Trials.
    Metrics []GoogleCloudMlV1_StudyConfig_MetricSpecResponse
    Metric specs for the study.
    Parameters []GoogleCloudMlV1_StudyConfig_ParameterSpecResponse
    The set of parameters to tune.
    algorithm String
    The search algorithm specified for the study.
    automatedStoppingConfig GoogleCloudMlV1__AutomatedStoppingConfigResponse
    Configuration for automated stopping of unpromising Trials.
    metrics List<GoogleCloudMlV1_StudyConfig_MetricSpecResponse>
    Metric specs for the study.
    parameters List<GoogleCloudMlV1_StudyConfig_ParameterSpecResponse>
    The set of parameters to tune.
    algorithm string
    The search algorithm specified for the study.
    automatedStoppingConfig GoogleCloudMlV1__AutomatedStoppingConfigResponse
    Configuration for automated stopping of unpromising Trials.
    metrics GoogleCloudMlV1_StudyConfig_MetricSpecResponse[]
    Metric specs for the study.
    parameters GoogleCloudMlV1_StudyConfig_ParameterSpecResponse[]
    The set of parameters to tune.
    algorithm str
    The search algorithm specified for the study.
    automated_stopping_config GoogleCloudMlV1AutomatedStoppingConfigResponse
    Configuration for automated stopping of unpromising Trials.
    metrics Sequence[GoogleCloudMlV1StudyConfig_MetricSpecResponse]
    Metric specs for the study.
    parameters Sequence[GoogleCloudMlV1StudyConfig_ParameterSpecResponse]
    The set of parameters to tune.
    algorithm String
    The search algorithm specified for the study.
    automatedStoppingConfig Property Map
    Configuration for automated stopping of unpromising Trials.
    metrics List<Property Map>
    Metric specs for the study.
    parameters List<Property Map>
    The set of parameters to tune.

    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