pulumi-azure-native-kotlin/com.pulumi.azurenative.machinelearningservices.kotlin.inputs/ImageModelSettingsClassificationArgsBuilder

ImageModelSettingsClassificationArgsBuilder

class ImageModelSettingsClassificationArgsBuilder

Builder for ImageModelSettingsClassificationArgs.

Functions

advancedSettings

@JvmName(name = "ylrimlavpldjldyj")

suspend fun advancedSettings(value: Output<String>)

@JvmName(name = "dylijkphjafbvfxv")

suspend fun advancedSettings(value: String?)

amsGradient

@JvmName(name = "fkchbgwevnjvixiu")

suspend fun amsGradient(value: Output<Boolean>)

@JvmName(name = "gjqfgltwcrrcjmqk")

suspend fun amsGradient(value: Boolean?)

augmentations

@JvmName(name = "cwsnkymsunkorwyp")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "gcckidnofvwrjjol")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "bvhvdarwucphilrt")

suspend fun beta1(value: Output<Double>)

@JvmName(name = "iehgoymreqlguhed")

suspend fun beta1(value: Double?)

beta2

@JvmName(name = "bdsmddtoarutadwd")

suspend fun beta2(value: Output<Double>)

@JvmName(name = "cgnifaqascibpfie")

suspend fun beta2(value: Double?)

checkpointFrequency

@JvmName(name = "nuabvaanvgsjpxxd")

suspend fun checkpointFrequency(value: Output<Int>)

@JvmName(name = "daguljebjifwvsre")

suspend fun checkpointFrequency(value: Int?)

checkpointModel

@JvmName(name = "dpnliuqhmivyhoob")

suspend fun checkpointModel(value: MLFlowModelJobInputArgs?)

@JvmName(name = "rrdmorpstdsjjpbt")

suspend fun checkpointModel(value: Output<MLFlowModelJobInputArgs>)

@JvmName(name = "ufadxwodqebecdyn")

suspend fun checkpointModel(argument: suspend MLFlowModelJobInputArgsBuilder.() -> Unit)

checkpointRunId

@JvmName(name = "mieaycsxuxapgmxq")

suspend fun checkpointRunId(value: Output<String>)

@JvmName(name = "vbgmarqijngdspji")

suspend fun checkpointRunId(value: String?)

distributed

@JvmName(name = "wkaobgdxcgowejyb")

suspend fun distributed(value: Output<Boolean>)

@JvmName(name = "nkvgpkpuxsumpkbl")

suspend fun distributed(value: Boolean?)

earlyStopping

@JvmName(name = "rjbtlwuhanxmswum")

suspend fun earlyStopping(value: Output<Boolean>)

@JvmName(name = "bgthoasxwqcqogei")

suspend fun earlyStopping(value: Boolean?)

earlyStoppingDelay

@JvmName(name = "omopgtjthvvokogu")

suspend fun earlyStoppingDelay(value: Output<Int>)

@JvmName(name = "whvnouxkasajlleg")

suspend fun earlyStoppingDelay(value: Int?)

earlyStoppingPatience

@JvmName(name = "lpseduhfjfvwnfgc")

suspend fun earlyStoppingPatience(value: Output<Int>)

@JvmName(name = "clyijyvoviaguypl")

suspend fun earlyStoppingPatience(value: Int?)

enableOnnxNormalization

@JvmName(name = "ubaqoawmughqxvdw")

suspend fun enableOnnxNormalization(value: Output<Boolean>)

@JvmName(name = "japhlgvegbmwjald")

suspend fun enableOnnxNormalization(value: Boolean?)

evaluationFrequency

@JvmName(name = "bwqorxfqpaobexxi")

suspend fun evaluationFrequency(value: Output<Int>)

@JvmName(name = "ewvjmeighpmhphpv")

suspend fun evaluationFrequency(value: Int?)

gradientAccumulationStep

@JvmName(name = "grjncnvknipjnhmf")

suspend fun gradientAccumulationStep(value: Output<Int>)

@JvmName(name = "inxwbjscerlkflij")

suspend fun gradientAccumulationStep(value: Int?)

layersToFreeze

@JvmName(name = "sxythahnkddnkigi")

suspend fun layersToFreeze(value: Output<Int>)

@JvmName(name = "pnyvtibvlcdflcyq")

suspend fun layersToFreeze(value: Int?)

learningRate

@JvmName(name = "ggtosojycggduxjb")

suspend fun learningRate(value: Output<Double>)

@JvmName(name = "kmauxcxkwsitmowk")

suspend fun learningRate(value: Double?)

learningRateScheduler

@JvmName(name = "udyvernqalkjvycf")

fun learningRateScheduler(value: LearningRateScheduler)

@JvmName(name = "ecoxcueonnadvgoa")

suspend fun learningRateScheduler(value: Either<String, LearningRateScheduler>?)

@JvmName(name = "ocauvmccerpypoos")

suspend fun learningRateScheduler(value: Output<Either<String, LearningRateScheduler>>)

@JvmName(name = "pqtiryemypxdxjcv")

fun learningRateScheduler(value: String)

modelName

@JvmName(name = "kftiylgbxbecyiyt")

suspend fun modelName(value: Output<String>)

@JvmName(name = "satghwhmmbojbejm")

suspend fun modelName(value: String?)

momentum

@JvmName(name = "kwdqfudhhnmhnvim")

suspend fun momentum(value: Output<Double>)

@JvmName(name = "sdxehlxdgbwdwpku")

suspend fun momentum(value: Double?)

nesterov

@JvmName(name = "iabidyanldlembvn")

suspend fun nesterov(value: Output<Boolean>)

@JvmName(name = "bushdtmltyfvpylj")

suspend fun nesterov(value: Boolean?)

numberOfEpochs

@JvmName(name = "mebbinvriwyggnro")

suspend fun numberOfEpochs(value: Output<Int>)

@JvmName(name = "xksgirsptmprhfck")

suspend fun numberOfEpochs(value: Int?)

numberOfWorkers

@JvmName(name = "utqvekbdqkbbbvda")

suspend fun numberOfWorkers(value: Output<Int>)

@JvmName(name = "nfsderpwsibdlbvk")

suspend fun numberOfWorkers(value: Int?)

optimizer

@JvmName(name = "vkqabvcsacabjlop")

fun optimizer(value: StochasticOptimizer)

@JvmName(name = "vnkmnkalsjhjgbsf")

suspend fun optimizer(value: Either<String, StochasticOptimizer>?)

@JvmName(name = "oucpvntfggtfbiao")

suspend fun optimizer(value: Output<Either<String, StochasticOptimizer>>)

@JvmName(name = "ulhwrtharytavmih")

fun optimizer(value: String)

randomSeed

@JvmName(name = "fsaenjvcrvlydqda")

suspend fun randomSeed(value: Output<Int>)

@JvmName(name = "mdxipeertrunoltj")

suspend fun randomSeed(value: Int?)

stepLRGamma

@JvmName(name = "njhhcblwqciphanq")

suspend fun stepLRGamma(value: Output<Double>)

@JvmName(name = "grggsdrcxffbvwgd")

suspend fun stepLRGamma(value: Double?)

stepLRStepSize

@JvmName(name = "vhehndutyvsovswj")

suspend fun stepLRStepSize(value: Output<Int>)

@JvmName(name = "idbdofjqswmomihl")

suspend fun stepLRStepSize(value: Int?)

trainingBatchSize

@JvmName(name = "fgjbrfyheevqnvjk")

suspend fun trainingBatchSize(value: Output<Int>)

@JvmName(name = "rpsjvsfehgqibkdw")

suspend fun trainingBatchSize(value: Int?)

trainingCropSize

@JvmName(name = "jnojrlfqwpyxfdex")

suspend fun trainingCropSize(value: Output<Int>)

@JvmName(name = "cxscucurvgjeurvb")

suspend fun trainingCropSize(value: Int?)

validationBatchSize

@JvmName(name = "xodojmmgxeskmfdb")

suspend fun validationBatchSize(value: Output<Int>)

@JvmName(name = "jpkbewremahrkrnx")

suspend fun validationBatchSize(value: Int?)

validationCropSize

@JvmName(name = "yhhyqorhiyymvtix")

suspend fun validationCropSize(value: Output<Int>)

@JvmName(name = "evlulogwmfvyyxob")

suspend fun validationCropSize(value: Int?)

validationResizeSize

@JvmName(name = "ecwraxawpnyykhlr")

suspend fun validationResizeSize(value: Output<Int>)

@JvmName(name = "mjqhsofarsnnghoo")

suspend fun validationResizeSize(value: Int?)

warmupCosineLRCycles

@JvmName(name = "gbrxrcqohqwmvgpf")

suspend fun warmupCosineLRCycles(value: Output<Double>)

@JvmName(name = "opvsynbweapoghsd")

suspend fun warmupCosineLRCycles(value: Double?)

warmupCosineLRWarmupEpochs

@JvmName(name = "eiwsnqagqcoktsou")

suspend fun warmupCosineLRWarmupEpochs(value: Output<Int>)

@JvmName(name = "tquduvwyyelepork")

suspend fun warmupCosineLRWarmupEpochs(value: Int?)

weightDecay

@JvmName(name = "ykvehoutkguyoqxl")

suspend fun weightDecay(value: Output<Double>)

@JvmName(name = "rliodutjlnvpguvr")

suspend fun weightDecay(value: Double?)

weightedLoss

@JvmName(name = "ytadxhdhviofxipk")

suspend fun weightedLoss(value: Output<Int>)

@JvmName(name = "vgkqhmqvowhtutni")

suspend fun weightedLoss(value: Int?)