
com.pulumi.azurenative.machinelearningservices.kotlin.inputs.TableVerticalLimitSettingsArgs.kt Maven / Gradle / Ivy
@file:Suppress("NAME_SHADOWING", "DEPRECATION")
package com.pulumi.azurenative.machinelearningservices.kotlin.inputs
import com.pulumi.azurenative.machinelearningservices.inputs.TableVerticalLimitSettingsArgs.builder
import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import kotlin.Boolean
import kotlin.Double
import kotlin.Int
import kotlin.String
import kotlin.Suppress
import kotlin.jvm.JvmName
/**
* Job execution constraints.
* @property enableEarlyTermination Enable early termination, determines whether or not if AutoMLJob will terminate early if there is no score improvement in last 20 iterations.
* @property exitScore Exit score for the AutoML job.
* @property maxConcurrentTrials Maximum Concurrent iterations.
* @property maxCoresPerTrial Max cores per iteration.
* @property maxTrials Number of iterations.
* @property timeout AutoML job timeout.
* @property trialTimeout Iteration timeout.
*/
public data class TableVerticalLimitSettingsArgs(
public val enableEarlyTermination: Output? = null,
public val exitScore: Output? = null,
public val maxConcurrentTrials: Output? = null,
public val maxCoresPerTrial: Output? = null,
public val maxTrials: Output? = null,
public val timeout: Output? = null,
public val trialTimeout: Output? = null,
) :
ConvertibleToJava {
override fun toJava(): com.pulumi.azurenative.machinelearningservices.inputs.TableVerticalLimitSettingsArgs =
com.pulumi.azurenative.machinelearningservices.inputs.TableVerticalLimitSettingsArgs.builder()
.enableEarlyTermination(enableEarlyTermination?.applyValue({ args0 -> args0 }))
.exitScore(exitScore?.applyValue({ args0 -> args0 }))
.maxConcurrentTrials(maxConcurrentTrials?.applyValue({ args0 -> args0 }))
.maxCoresPerTrial(maxCoresPerTrial?.applyValue({ args0 -> args0 }))
.maxTrials(maxTrials?.applyValue({ args0 -> args0 }))
.timeout(timeout?.applyValue({ args0 -> args0 }))
.trialTimeout(trialTimeout?.applyValue({ args0 -> args0 })).build()
}
/**
* Builder for [TableVerticalLimitSettingsArgs].
*/
@PulumiTagMarker
public class TableVerticalLimitSettingsArgsBuilder internal constructor() {
private var enableEarlyTermination: Output? = null
private var exitScore: Output? = null
private var maxConcurrentTrials: Output? = null
private var maxCoresPerTrial: Output? = null
private var maxTrials: Output? = null
private var timeout: Output? = null
private var trialTimeout: Output? = null
/**
* @param value Enable early termination, determines whether or not if AutoMLJob will terminate early if there is no score improvement in last 20 iterations.
*/
@JvmName("spmijhombcwfxqyx")
public suspend fun enableEarlyTermination(`value`: Output) {
this.enableEarlyTermination = value
}
/**
* @param value Exit score for the AutoML job.
*/
@JvmName("rbtoivuuncgwpcwe")
public suspend fun exitScore(`value`: Output) {
this.exitScore = value
}
/**
* @param value Maximum Concurrent iterations.
*/
@JvmName("spxjyyktslbuamls")
public suspend fun maxConcurrentTrials(`value`: Output) {
this.maxConcurrentTrials = value
}
/**
* @param value Max cores per iteration.
*/
@JvmName("mvjcatwhlmqqqifr")
public suspend fun maxCoresPerTrial(`value`: Output) {
this.maxCoresPerTrial = value
}
/**
* @param value Number of iterations.
*/
@JvmName("nhixepblaqpiutby")
public suspend fun maxTrials(`value`: Output) {
this.maxTrials = value
}
/**
* @param value AutoML job timeout.
*/
@JvmName("qocrejstefgubbpx")
public suspend fun timeout(`value`: Output) {
this.timeout = value
}
/**
* @param value Iteration timeout.
*/
@JvmName("hmdauhlehtkkxiao")
public suspend fun trialTimeout(`value`: Output) {
this.trialTimeout = value
}
/**
* @param value Enable early termination, determines whether or not if AutoMLJob will terminate early if there is no score improvement in last 20 iterations.
*/
@JvmName("mupmuxkomfjegwya")
public suspend fun enableEarlyTermination(`value`: Boolean?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.enableEarlyTermination = mapped
}
/**
* @param value Exit score for the AutoML job.
*/
@JvmName("vkweinroifebiljf")
public suspend fun exitScore(`value`: Double?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.exitScore = mapped
}
/**
* @param value Maximum Concurrent iterations.
*/
@JvmName("fkucehfayotholgw")
public suspend fun maxConcurrentTrials(`value`: Int?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.maxConcurrentTrials = mapped
}
/**
* @param value Max cores per iteration.
*/
@JvmName("dmfhgyscreyrpnna")
public suspend fun maxCoresPerTrial(`value`: Int?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.maxCoresPerTrial = mapped
}
/**
* @param value Number of iterations.
*/
@JvmName("fealfghotovkvhae")
public suspend fun maxTrials(`value`: Int?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.maxTrials = mapped
}
/**
* @param value AutoML job timeout.
*/
@JvmName("ysolofousqqhbagf")
public suspend fun timeout(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.timeout = mapped
}
/**
* @param value Iteration timeout.
*/
@JvmName("ficppmrhfxxgiodl")
public suspend fun trialTimeout(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.trialTimeout = mapped
}
internal fun build(): TableVerticalLimitSettingsArgs = TableVerticalLimitSettingsArgs(
enableEarlyTermination = enableEarlyTermination,
exitScore = exitScore,
maxConcurrentTrials = maxConcurrentTrials,
maxCoresPerTrial = maxCoresPerTrial,
maxTrials = maxTrials,
timeout = timeout,
trialTimeout = trialTimeout,
)
}
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