com.pulumi.azurenative.machinelearningservices.kotlin.inputs.ImageClassificationArgs.kt Maven / Gradle / Ivy
@file:Suppress("NAME_SHADOWING", "DEPRECATION")
package com.pulumi.azurenative.machinelearningservices.kotlin.inputs
import com.pulumi.azurenative.machinelearningservices.inputs.ImageClassificationArgs.builder
import com.pulumi.azurenative.machinelearningservices.kotlin.enums.ClassificationPrimaryMetrics
import com.pulumi.azurenative.machinelearningservices.kotlin.enums.LogVerbosity
import com.pulumi.core.Either
import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiNullFieldException
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.applySuspend
import kotlin.Double
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.collections.List
import kotlin.jvm.JvmName
/**
* Image Classification. Multi-class image classification is used when an image is classified with only a single label
* from a set of classes - e.g. each image is classified as either an image of a 'cat' or a 'dog' or a 'duck'.
* @property limitSettings [Required] Limit settings for the AutoML job.
* @property logVerbosity Log verbosity for the job.
* @property modelSettings Settings used for training the model.
* @property primaryMetric Primary metric to optimize for this task.
* @property searchSpace Search space for sampling different combinations of models and their hyperparameters.
* @property sweepSettings Model sweeping and hyperparameter sweeping related settings.
* @property targetColumnName Target column name: This is prediction values column.
* Also known as label column name in context of classification tasks.
* @property taskType AutoMLJob Task type.
* Expected value is 'ImageClassification'.
* @property trainingData [Required] Training data input.
* @property validationData Validation data inputs.
* @property validationDataSize The fraction of training dataset that needs to be set aside for validation purpose.
* Values between (0.0 , 1.0)
* Applied when validation dataset is not provided.
*/
public data class ImageClassificationArgs(
public val limitSettings: Output,
public val logVerbosity: Output>? = null,
public val modelSettings: Output? = null,
public val primaryMetric: Output>? = null,
public val searchSpace: Output>? = null,
public val sweepSettings: Output? = null,
public val targetColumnName: Output? = null,
public val taskType: Output,
public val trainingData: Output,
public val validationData: Output? = null,
public val validationDataSize: Output? = null,
) : ConvertibleToJava {
override fun toJava(): com.pulumi.azurenative.machinelearningservices.inputs.ImageClassificationArgs =
com.pulumi.azurenative.machinelearningservices.inputs.ImageClassificationArgs.builder()
.limitSettings(limitSettings.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.logVerbosity(
logVerbosity?.applyValue({ args0 ->
args0.transform({ args0 -> args0 }, { args0 ->
args0.let({ args0 -> args0.toJava() })
})
}),
)
.modelSettings(modelSettings?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.primaryMetric(
primaryMetric?.applyValue({ args0 ->
args0.transform({ args0 -> args0 }, { args0 ->
args0.let({ args0 -> args0.toJava() })
})
}),
)
.searchSpace(
searchSpace?.applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 ->
args0.toJava()
})
})
}),
)
.sweepSettings(sweepSettings?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.targetColumnName(targetColumnName?.applyValue({ args0 -> args0 }))
.taskType(taskType.applyValue({ args0 -> args0 }))
.trainingData(trainingData.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.validationData(validationData?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.validationDataSize(validationDataSize?.applyValue({ args0 -> args0 })).build()
}
/**
* Builder for [ImageClassificationArgs].
*/
@PulumiTagMarker
public class ImageClassificationArgsBuilder internal constructor() {
private var limitSettings: Output? = null
private var logVerbosity: Output>? = null
private var modelSettings: Output? = null
private var primaryMetric: Output>? = null
private var searchSpace: Output>? = null
private var sweepSettings: Output? = null
private var targetColumnName: Output? = null
private var taskType: Output? = null
private var trainingData: Output? = null
private var validationData: Output? = null
private var validationDataSize: Output? = null
/**
* @param value [Required] Limit settings for the AutoML job.
*/
@JvmName("ygdgqoaqhsbnrtxb")
public suspend fun limitSettings(`value`: Output) {
this.limitSettings = value
}
/**
* @param value Log verbosity for the job.
*/
@JvmName("membjygcyyfdiric")
public suspend fun logVerbosity(`value`: Output>) {
this.logVerbosity = value
}
/**
* @param value Settings used for training the model.
*/
@JvmName("pfrxwboxxnifctgh")
public suspend fun modelSettings(`value`: Output) {
this.modelSettings = value
}
/**
* @param value Primary metric to optimize for this task.
*/
@JvmName("eninlhfmgfiimisg")
public suspend fun primaryMetric(`value`: Output>) {
this.primaryMetric = value
}
/**
* @param value Search space for sampling different combinations of models and their hyperparameters.
*/
@JvmName("vscrpdkrxgkvfjys")
public suspend fun searchSpace(`value`: Output>) {
this.searchSpace = value
}
@JvmName("bybsddsobyoxtrjh")
public suspend fun searchSpace(vararg values: Output) {
this.searchSpace = Output.all(values.asList())
}
/**
* @param values Search space for sampling different combinations of models and their hyperparameters.
*/
@JvmName("akyqmmlmsfrpevws")
public suspend fun searchSpace(values: List>) {
this.searchSpace = Output.all(values)
}
/**
* @param value Model sweeping and hyperparameter sweeping related settings.
*/
@JvmName("dcuxuktobhjjwpey")
public suspend fun sweepSettings(`value`: Output) {
this.sweepSettings = value
}
/**
* @param value Target column name: This is prediction values column.
* Also known as label column name in context of classification tasks.
*/
@JvmName("saujxulfeftrjujx")
public suspend fun targetColumnName(`value`: Output) {
this.targetColumnName = value
}
/**
* @param value AutoMLJob Task type.
* Expected value is 'ImageClassification'.
*/
@JvmName("xdrrtipamnqrvjyu")
public suspend fun taskType(`value`: Output) {
this.taskType = value
}
/**
* @param value [Required] Training data input.
*/
@JvmName("nsytvhehkgifmflm")
public suspend fun trainingData(`value`: Output) {
this.trainingData = value
}
/**
* @param value Validation data inputs.
*/
@JvmName("jmfjakomkinxfrud")
public suspend fun validationData(`value`: Output) {
this.validationData = value
}
/**
* @param value The fraction of training dataset that needs to be set aside for validation purpose.
* Values between (0.0 , 1.0)
* Applied when validation dataset is not provided.
*/
@JvmName("wlhctmovmgqabivk")
public suspend fun validationDataSize(`value`: Output) {
this.validationDataSize = value
}
/**
* @param value [Required] Limit settings for the AutoML job.
*/
@JvmName("swcdjcibmnacyxub")
public suspend fun limitSettings(`value`: ImageLimitSettingsArgs) {
val toBeMapped = value
val mapped = toBeMapped.let({ args0 -> of(args0) })
this.limitSettings = mapped
}
/**
* @param argument [Required] Limit settings for the AutoML job.
*/
@JvmName("dhnvesixtnpykhqx")
public suspend fun limitSettings(argument: suspend ImageLimitSettingsArgsBuilder.() -> Unit) {
val toBeMapped = ImageLimitSettingsArgsBuilder().applySuspend { argument() }.build()
val mapped = of(toBeMapped)
this.limitSettings = mapped
}
/**
* @param value Log verbosity for the job.
*/
@JvmName("gosjqoykoqxpmuij")
public suspend fun logVerbosity(`value`: Either?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.logVerbosity = mapped
}
/**
* @param value Log verbosity for the job.
*/
@JvmName("ydfuiwnfahvhnsfp")
public fun logVerbosity(`value`: String) {
val toBeMapped = Either.ofLeft(value)
val mapped = toBeMapped.let({ args0 -> of(args0) })
this.logVerbosity = mapped
}
/**
* @param value Log verbosity for the job.
*/
@JvmName("jqiiqqiukrgpkudf")
public fun logVerbosity(`value`: LogVerbosity) {
val toBeMapped = Either.ofRight(value)
val mapped = toBeMapped.let({ args0 -> of(args0) })
this.logVerbosity = mapped
}
/**
* @param value Settings used for training the model.
*/
@JvmName("avxqjnjsopnjfiwv")
public suspend fun modelSettings(`value`: ImageModelSettingsClassificationArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.modelSettings = mapped
}
/**
* @param argument Settings used for training the model.
*/
@JvmName("akvmisipxxkwcess")
public suspend fun modelSettings(argument: suspend ImageModelSettingsClassificationArgsBuilder.() -> Unit) {
val toBeMapped = ImageModelSettingsClassificationArgsBuilder().applySuspend {
argument()
}.build()
val mapped = of(toBeMapped)
this.modelSettings = mapped
}
/**
* @param value Primary metric to optimize for this task.
*/
@JvmName("nodxmierkdcmncxp")
public suspend fun primaryMetric(`value`: Either?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.primaryMetric = mapped
}
/**
* @param value Primary metric to optimize for this task.
*/
@JvmName("dklyfhcevnmsspkj")
public fun primaryMetric(`value`: String) {
val toBeMapped = Either.ofLeft(value)
val mapped = toBeMapped.let({ args0 -> of(args0) })
this.primaryMetric = mapped
}
/**
* @param value Primary metric to optimize for this task.
*/
@JvmName("uouihqdoolrkmbhm")
public fun primaryMetric(`value`: ClassificationPrimaryMetrics) {
val toBeMapped = Either.ofRight(value)
val mapped = toBeMapped.let({ args0 -> of(args0) })
this.primaryMetric = mapped
}
/**
* @param value Search space for sampling different combinations of models and their hyperparameters.
*/
@JvmName("oivamkjuwebglboa")
public suspend fun searchSpace(`value`: List?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.searchSpace = mapped
}
/**
* @param argument Search space for sampling different combinations of models and their hyperparameters.
*/
@JvmName("nhvkikhmykbmndpi")
public suspend fun searchSpace(argument: List Unit>) {
val toBeMapped = argument.toList().map {
ImageModelDistributionSettingsClassificationArgsBuilder().applySuspend { it() }.build()
}
val mapped = of(toBeMapped)
this.searchSpace = mapped
}
/**
* @param argument Search space for sampling different combinations of models and their hyperparameters.
*/
@JvmName("qijvmkhfgfmjwsfw")
public suspend fun searchSpace(vararg argument: suspend ImageModelDistributionSettingsClassificationArgsBuilder.() -> Unit) {
val toBeMapped = argument.toList().map {
ImageModelDistributionSettingsClassificationArgsBuilder().applySuspend { it() }.build()
}
val mapped = of(toBeMapped)
this.searchSpace = mapped
}
/**
* @param argument Search space for sampling different combinations of models and their hyperparameters.
*/
@JvmName("vjepboowtfakjrrf")
public suspend fun searchSpace(argument: suspend ImageModelDistributionSettingsClassificationArgsBuilder.() -> Unit) {
val toBeMapped = listOf(
ImageModelDistributionSettingsClassificationArgsBuilder().applySuspend {
argument()
}.build(),
)
val mapped = of(toBeMapped)
this.searchSpace = mapped
}
/**
* @param values Search space for sampling different combinations of models and their hyperparameters.
*/
@JvmName("lhxrjesfbjcjfphu")
public suspend fun searchSpace(vararg values: ImageModelDistributionSettingsClassificationArgs) {
val toBeMapped = values.toList()
val mapped = toBeMapped.let({ args0 -> of(args0) })
this.searchSpace = mapped
}
/**
* @param value Model sweeping and hyperparameter sweeping related settings.
*/
@JvmName("femafdoogkxdsisb")
public suspend fun sweepSettings(`value`: ImageSweepSettingsArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.sweepSettings = mapped
}
/**
* @param argument Model sweeping and hyperparameter sweeping related settings.
*/
@JvmName("grujqasnlesibijx")
public suspend fun sweepSettings(argument: suspend ImageSweepSettingsArgsBuilder.() -> Unit) {
val toBeMapped = ImageSweepSettingsArgsBuilder().applySuspend { argument() }.build()
val mapped = of(toBeMapped)
this.sweepSettings = mapped
}
/**
* @param value Target column name: This is prediction values column.
* Also known as label column name in context of classification tasks.
*/
@JvmName("drdkwtcnhdsqtgcc")
public suspend fun targetColumnName(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.targetColumnName = mapped
}
/**
* @param value AutoMLJob Task type.
* Expected value is 'ImageClassification'.
*/
@JvmName("hokhcixhurcfwghr")
public suspend fun taskType(`value`: String) {
val toBeMapped = value
val mapped = toBeMapped.let({ args0 -> of(args0) })
this.taskType = mapped
}
/**
* @param value [Required] Training data input.
*/
@JvmName("hppafmcxpfqnbylu")
public suspend fun trainingData(`value`: MLTableJobInputArgs) {
val toBeMapped = value
val mapped = toBeMapped.let({ args0 -> of(args0) })
this.trainingData = mapped
}
/**
* @param argument [Required] Training data input.
*/
@JvmName("yhvjwrdcyetuabmg")
public suspend fun trainingData(argument: suspend MLTableJobInputArgsBuilder.() -> Unit) {
val toBeMapped = MLTableJobInputArgsBuilder().applySuspend { argument() }.build()
val mapped = of(toBeMapped)
this.trainingData = mapped
}
/**
* @param value Validation data inputs.
*/
@JvmName("ujwfwbyqvenxarrq")
public suspend fun validationData(`value`: MLTableJobInputArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.validationData = mapped
}
/**
* @param argument Validation data inputs.
*/
@JvmName("yqjqcbqukwtadtck")
public suspend fun validationData(argument: suspend MLTableJobInputArgsBuilder.() -> Unit) {
val toBeMapped = MLTableJobInputArgsBuilder().applySuspend { argument() }.build()
val mapped = of(toBeMapped)
this.validationData = mapped
}
/**
* @param value The fraction of training dataset that needs to be set aside for validation purpose.
* Values between (0.0 , 1.0)
* Applied when validation dataset is not provided.
*/
@JvmName("tsktipdypgnwdibx")
public suspend fun validationDataSize(`value`: Double?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.validationDataSize = mapped
}
internal fun build(): ImageClassificationArgs = ImageClassificationArgs(
limitSettings = limitSettings ?: throw PulumiNullFieldException("limitSettings"),
logVerbosity = logVerbosity,
modelSettings = modelSettings,
primaryMetric = primaryMetric,
searchSpace = searchSpace,
sweepSettings = sweepSettings,
targetColumnName = targetColumnName,
taskType = taskType ?: throw PulumiNullFieldException("taskType"),
trainingData = trainingData ?: throw PulumiNullFieldException("trainingData"),
validationData = validationData,
validationDataSize = validationDataSize,
)
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy