pulumi-google-native-kotlin/com.pulumi.googlenative.ml.v1.kotlin.inputs/GoogleCloudMlV1__ParameterSpecArgs

GoogleCloudMlV1__ParameterSpecArgs

data class GoogleCloudMlV1__ParameterSpecArgs(val categoricalValues: Output<List<String>>? = null, val discreteValues: Output<List<Double>>? = null, val maxValue: Output<Double>? = null, val minValue: Output<Double>? = null, val parameterName: Output<String>, val scaleType: Output<GoogleCloudMlV1__ParameterSpecScaleType>? = null, val type: Output<GoogleCloudMlV1__ParameterSpecType>) : ConvertibleToJava<GoogleCloudMlV1__ParameterSpecArgs>

Represents a single hyperparameter to optimize.

Constructors

fun GoogleCloudMlV1__ParameterSpecArgs(categoricalValues: Output<List<String>>? = null, discreteValues: Output<List<Double>>? = null, maxValue: Output<Double>? = null, minValue: Output<Double>? = null, parameterName: Output<String>, scaleType: Output<GoogleCloudMlV1__ParameterSpecScaleType>? = null, type: Output<GoogleCloudMlV1__ParameterSpecType>)

Functions

toJava

open override fun toJava(): GoogleCloudMlV1__ParameterSpecArgs

Properties

categoricalValues

val categoricalValues: Output<List<String>>? = null

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

discreteValues

val discreteValues: Output<List<Double>>? = null

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: Output<Double>? = null

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: Output<Double>? = null

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: Output<String>

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

scaleType

val scaleType: Output<GoogleCloudMlV1__ParameterSpecScaleType>? = null

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: Output<GoogleCloudMlV1__ParameterSpecType>

The type of the parameter.