pulumi-google-native-kotlin/com.pulumi.googlenative.ml.v1.kotlin.outputs/GoogleCloudMlV1__ParameterSpecResponse

GoogleCloudMlV1__ParameterSpecResponse

data class GoogleCloudMlV1__ParameterSpecResponse(val categoricalValues: List<String>, val discreteValues: List<Double>, val maxValue: Double, val minValue: Double, val parameterName: String, val scaleType: String, val type: String)

Represents a single hyperparameter to optimize.

Constructors

fun GoogleCloudMlV1__ParameterSpecResponse(categoricalValues: List<String>, discreteValues: List<Double>, maxValue: Double, minValue: Double, parameterName: String, scaleType: String, type: String)

Types

Companion

object Companion

Properties

categoricalValues

val categoricalValues: List<String>

Required if type is CATEGORICAL. The list of possible categories.

discreteValues

val discreteValues: List<Double>

Required 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.

maxValue

val maxValue: Double

Required if type is DOUBLE or INTEGER. This field should be unset if type is CATEGORICAL. This value should be integers if type is INTEGER.

minValue

val minValue: Double

Required if type is DOUBLE or INTEGER. This field should be unset if type is CATEGORICAL. This value should be integers if type is INTEGER.

parameterName

val parameterName: String

The parameter name must be unique amongst all ParameterConfigs in a HyperparameterSpec message. E.g., "learning_rate".

scaleType

val scaleType: String

Optional. How the parameter should be scaled to the hypercube. Leave unset for categorical parameters. Some kind of scaling is strongly recommended for real or integral parameters (e.g., UNIT_LINEAR_SCALE).

type

val type: String

The type of the parameter.