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

ImageModelSettingsClassificationArgsBuilder

class ImageModelSettingsClassificationArgsBuilder

Builder for ImageModelSettingsClassificationArgs.

Functions

advancedSettings

@JvmName(name = "dlnigiwldebiqrdv")

suspend fun advancedSettings(value: Output<String>)

@JvmName(name = "ofhytkygnjunlnay")

suspend fun advancedSettings(value: String?)

amsGradient

@JvmName(name = "tppvdetavbllaagl")

suspend fun amsGradient(value: Output<Boolean>)

@JvmName(name = "apcvypmnkitcjhor")

suspend fun amsGradient(value: Boolean?)

augmentations

@JvmName(name = "nvuwfrxbafebnnja")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "wqwjymvwqeobkrkg")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "uidbrjshkcafvpvo")

suspend fun beta1(value: Output<Double>)

@JvmName(name = "bsmrkrgqggpeebwg")

suspend fun beta1(value: Double?)

beta2

@JvmName(name = "llamtiwhnnkgprhu")

suspend fun beta2(value: Output<Double>)

@JvmName(name = "ihxsxdwntrmssiag")

suspend fun beta2(value: Double?)

checkpointFrequency

@JvmName(name = "pjwiqpododsbrhyh")

suspend fun checkpointFrequency(value: Output<Int>)

@JvmName(name = "okbjnilbvmmkovrd")

suspend fun checkpointFrequency(value: Int?)

checkpointModel

@JvmName(name = "yrpnpxweiqdymvqm")

suspend fun checkpointModel(value: MLFlowModelJobInputArgs?)

@JvmName(name = "kfqlaruulyppgarb")

suspend fun checkpointModel(value: Output<MLFlowModelJobInputArgs>)

@JvmName(name = "ybnwlwdmddxcspqd")

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

checkpointRunId

@JvmName(name = "ljiadggjdewjtyxj")

suspend fun checkpointRunId(value: Output<String>)

@JvmName(name = "eyjyesrrcgottncy")

suspend fun checkpointRunId(value: String?)

distributed

@JvmName(name = "qxqtkxkvgrywhfun")

suspend fun distributed(value: Output<Boolean>)

@JvmName(name = "qyfsgvpyervjjcvu")

suspend fun distributed(value: Boolean?)

earlyStopping

@JvmName(name = "yjyaycscorxvtgwt")

suspend fun earlyStopping(value: Output<Boolean>)

@JvmName(name = "wxiykecemkqdwekd")

suspend fun earlyStopping(value: Boolean?)

earlyStoppingDelay

@JvmName(name = "rphwdnejcwvixosn")

suspend fun earlyStoppingDelay(value: Output<Int>)

@JvmName(name = "eyvcqkoqldfvotuu")

suspend fun earlyStoppingDelay(value: Int?)

earlyStoppingPatience

@JvmName(name = "oevibojowmygfmdh")

suspend fun earlyStoppingPatience(value: Output<Int>)

@JvmName(name = "nuiyugwbsugqdaku")

suspend fun earlyStoppingPatience(value: Int?)

enableOnnxNormalization

@JvmName(name = "dxefqwfdrqmnnwhj")

suspend fun enableOnnxNormalization(value: Output<Boolean>)

@JvmName(name = "vgcwkmjeixgdrpnw")

suspend fun enableOnnxNormalization(value: Boolean?)

evaluationFrequency

@JvmName(name = "qwlgmiakwgjmkcis")

suspend fun evaluationFrequency(value: Output<Int>)

@JvmName(name = "fnsrqwjsvanpymek")

suspend fun evaluationFrequency(value: Int?)

gradientAccumulationStep

@JvmName(name = "eajxvpwhglgnfrhr")

suspend fun gradientAccumulationStep(value: Output<Int>)

@JvmName(name = "wqjqofualnlnkhuv")

suspend fun gradientAccumulationStep(value: Int?)

layersToFreeze

@JvmName(name = "chpmuohhyfcliiex")

suspend fun layersToFreeze(value: Output<Int>)

@JvmName(name = "damwsoeextujvujp")

suspend fun layersToFreeze(value: Int?)

learningRate

@JvmName(name = "ngbrwvfswsgoocka")

suspend fun learningRate(value: Output<Double>)

@JvmName(name = "dmgwgxebvuxxdqty")

suspend fun learningRate(value: Double?)

learningRateScheduler

@JvmName(name = "hminxbahalwobuxj")

fun learningRateScheduler(value: LearningRateScheduler)

@JvmName(name = "jnwrfmufaivfwvgx")

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

@JvmName(name = "baapijdjlyxodbhd")

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

@JvmName(name = "gobfowlqjdgompol")

fun learningRateScheduler(value: String)

modelName

@JvmName(name = "bnljotfkbgqxbddc")

suspend fun modelName(value: Output<String>)

@JvmName(name = "luisylhrmtmgetyy")

suspend fun modelName(value: String?)

momentum

@JvmName(name = "hsobpapksvgguaae")

suspend fun momentum(value: Output<Double>)

@JvmName(name = "agqrmuqmrueyiufs")

suspend fun momentum(value: Double?)

nesterov

@JvmName(name = "wthanbaoolblhxyt")

suspend fun nesterov(value: Output<Boolean>)

@JvmName(name = "dnmhjemswescftdo")

suspend fun nesterov(value: Boolean?)

numberOfEpochs

@JvmName(name = "bpbemuuhbarhmicq")

suspend fun numberOfEpochs(value: Output<Int>)

@JvmName(name = "wvipqebhgxwbcyix")

suspend fun numberOfEpochs(value: Int?)

numberOfWorkers

@JvmName(name = "ycawaxbttcdxfkco")

suspend fun numberOfWorkers(value: Output<Int>)

@JvmName(name = "xthphqxdcygdaaew")

suspend fun numberOfWorkers(value: Int?)

optimizer

@JvmName(name = "hoeeqmphabkrajtt")

fun optimizer(value: StochasticOptimizer)

@JvmName(name = "hatgvkselhcmxdch")

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

@JvmName(name = "gpexrrdioiblkuyg")

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

@JvmName(name = "rfcbxriwqixstvrl")

fun optimizer(value: String)

randomSeed

@JvmName(name = "ifupgbpjhidliadp")

suspend fun randomSeed(value: Output<Int>)

@JvmName(name = "rqmlvkvxfoheoror")

suspend fun randomSeed(value: Int?)

stepLRGamma

@JvmName(name = "sdofqjngrpoyyqbq")

suspend fun stepLRGamma(value: Output<Double>)

@JvmName(name = "cehudqkmpaoobkws")

suspend fun stepLRGamma(value: Double?)

stepLRStepSize

@JvmName(name = "ifhuimeteukpyltv")

suspend fun stepLRStepSize(value: Output<Int>)

@JvmName(name = "usfwypofjxvalgnc")

suspend fun stepLRStepSize(value: Int?)

trainingBatchSize

@JvmName(name = "ehkxfusjicubkaif")

suspend fun trainingBatchSize(value: Output<Int>)

@JvmName(name = "abiqmsxypjssldfr")

suspend fun trainingBatchSize(value: Int?)

trainingCropSize

@JvmName(name = "girxxicsvaoxxnhn")

suspend fun trainingCropSize(value: Output<Int>)

@JvmName(name = "lcttacjxtdjskxph")

suspend fun trainingCropSize(value: Int?)

validationBatchSize

@JvmName(name = "idmujdhhwhxndqly")

suspend fun validationBatchSize(value: Output<Int>)

@JvmName(name = "rtxyfvtecirhfipk")

suspend fun validationBatchSize(value: Int?)

validationCropSize

@JvmName(name = "vtrawamtrkmobmfx")

suspend fun validationCropSize(value: Output<Int>)

@JvmName(name = "haioggmnruyoiviy")

suspend fun validationCropSize(value: Int?)

validationResizeSize

@JvmName(name = "gfxwmywqlgvvukuv")

suspend fun validationResizeSize(value: Output<Int>)

@JvmName(name = "epnrkasrloggkurj")

suspend fun validationResizeSize(value: Int?)

warmupCosineLRCycles

@JvmName(name = "gcmpgjhnqxqdgkqn")

suspend fun warmupCosineLRCycles(value: Output<Double>)

@JvmName(name = "pddiqtvbsqmdtrbq")

suspend fun warmupCosineLRCycles(value: Double?)

warmupCosineLRWarmupEpochs

@JvmName(name = "potissfghklmcobk")

suspend fun warmupCosineLRWarmupEpochs(value: Output<Int>)

@JvmName(name = "ijpcxudlemkpbyiy")

suspend fun warmupCosineLRWarmupEpochs(value: Int?)

weightDecay

@JvmName(name = "xehiojswkybdlfli")

suspend fun weightDecay(value: Output<Double>)

@JvmName(name = "nejasfnpoyvfcyxf")

suspend fun weightDecay(value: Double?)

weightedLoss

@JvmName(name = "hvdfpshnkpmpbxlx")

suspend fun weightedLoss(value: Output<Int>)

@JvmName(name = "rhuqaihapiuyulhe")

suspend fun weightedLoss(value: Int?)