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

ImageModelSettingsObjectDetectionArgsBuilder

class ImageModelSettingsObjectDetectionArgsBuilder

Builder for ImageModelSettingsObjectDetectionArgs.

Functions

advancedSettings

@JvmName(name = "eredlydxgnmfhbgo")

suspend fun advancedSettings(value: Output<String>)

@JvmName(name = "wjfvrckapemugqtf")

suspend fun advancedSettings(value: String?)

amsGradient

@JvmName(name = "noacfkmhaojpxxof")

suspend fun amsGradient(value: Output<Boolean>)

@JvmName(name = "mhjhutrultgmqqve")

suspend fun amsGradient(value: Boolean?)

augmentations

@JvmName(name = "kovegvrcdqlvxwfb")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "atwcvllrnpkmkwge")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "deuigvukqclkiddf")

suspend fun beta1(value: Output<Double>)

@JvmName(name = "bjxuawecjtosrspd")

suspend fun beta1(value: Double?)

beta2

@JvmName(name = "gcvwtabrjoolunob")

suspend fun beta2(value: Output<Double>)

@JvmName(name = "tuijersldnjufibh")

suspend fun beta2(value: Double?)

boxDetectionsPerImage

@JvmName(name = "vrcihucbpjevtkdw")

suspend fun boxDetectionsPerImage(value: Output<Int>)

@JvmName(name = "pabnqhiltqeorbpp")

suspend fun boxDetectionsPerImage(value: Int?)

boxScoreThreshold

@JvmName(name = "clhxftmrmrhrqvuh")

suspend fun boxScoreThreshold(value: Output<Double>)

@JvmName(name = "ptclnourjeycarmu")

suspend fun boxScoreThreshold(value: Double?)

checkpointFrequency

@JvmName(name = "ybrjxichpgggwxdj")

suspend fun checkpointFrequency(value: Output<Int>)

@JvmName(name = "cqppcvocmamojcpd")

suspend fun checkpointFrequency(value: Int?)

checkpointModel

@JvmName(name = "ocgisppcwqidwxvh")

suspend fun checkpointModel(value: MLFlowModelJobInputArgs?)

@JvmName(name = "pfwlidjctgiivwws")

suspend fun checkpointModel(value: Output<MLFlowModelJobInputArgs>)

@JvmName(name = "vbsxvmoqcupkcapq")

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

checkpointRunId

@JvmName(name = "umuqnyrcsfwnygdq")

suspend fun checkpointRunId(value: Output<String>)

@JvmName(name = "elxdikwrooablnyc")

suspend fun checkpointRunId(value: String?)

distributed

@JvmName(name = "cwqrajxntfqhscax")

suspend fun distributed(value: Output<Boolean>)

@JvmName(name = "dofqksfwlpjdsmko")

suspend fun distributed(value: Boolean?)

earlyStopping

@JvmName(name = "lmmtyabijojekeba")

suspend fun earlyStopping(value: Output<Boolean>)

@JvmName(name = "gcqdjxtopvenjkgx")

suspend fun earlyStopping(value: Boolean?)

earlyStoppingDelay

@JvmName(name = "illsaunbdvhkupxb")

suspend fun earlyStoppingDelay(value: Output<Int>)

@JvmName(name = "vuwtjcetljarocnl")

suspend fun earlyStoppingDelay(value: Int?)

earlyStoppingPatience

@JvmName(name = "gavlitmsanbbckbm")

suspend fun earlyStoppingPatience(value: Output<Int>)

@JvmName(name = "rlmpqsoxjovmaefc")

suspend fun earlyStoppingPatience(value: Int?)

enableOnnxNormalization

@JvmName(name = "xuclrfqrdqqaabcu")

suspend fun enableOnnxNormalization(value: Output<Boolean>)

@JvmName(name = "aiflmwgqlyouohko")

suspend fun enableOnnxNormalization(value: Boolean?)

evaluationFrequency

@JvmName(name = "plpyjahnutibamyf")

suspend fun evaluationFrequency(value: Output<Int>)

@JvmName(name = "dripsaymsauvudob")

suspend fun evaluationFrequency(value: Int?)

gradientAccumulationStep

@JvmName(name = "wljejjqxoloduxeq")

suspend fun gradientAccumulationStep(value: Output<Int>)

@JvmName(name = "otbdcephawoqymqv")

suspend fun gradientAccumulationStep(value: Int?)

imageSize

@JvmName(name = "ccupvmwfkpgvrkmf")

suspend fun imageSize(value: Output<Int>)

@JvmName(name = "motdbjfyqybjotba")

suspend fun imageSize(value: Int?)

layersToFreeze

@JvmName(name = "baglcrtblhkryvpk")

suspend fun layersToFreeze(value: Output<Int>)

@JvmName(name = "kpsaicjyfbxttkxk")

suspend fun layersToFreeze(value: Int?)

learningRate

@JvmName(name = "ncaiseqhkanfrasv")

suspend fun learningRate(value: Output<Double>)

@JvmName(name = "uohvgfiuomduvjly")

suspend fun learningRate(value: Double?)

learningRateScheduler

@JvmName(name = "namfaywhfonlaikj")

fun learningRateScheduler(value: LearningRateScheduler)

@JvmName(name = "fuuwytwvfpilpkcp")

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

@JvmName(name = "aibnatnklifmtnym")

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

@JvmName(name = "kbolyjwsdjjqctrw")

fun learningRateScheduler(value: String)

maxSize

@JvmName(name = "sujrnxvstmsluiyo")

suspend fun maxSize(value: Output<Int>)

@JvmName(name = "ivqkxdfuyhqqitfp")

suspend fun maxSize(value: Int?)

minSize

@JvmName(name = "dlawpdhixhexsbni")

suspend fun minSize(value: Output<Int>)

@JvmName(name = "sqksyyhtmfrfldle")

suspend fun minSize(value: Int?)

modelName

@JvmName(name = "cnpryeraynafubre")

suspend fun modelName(value: Output<String>)

@JvmName(name = "ymirctgskrgqccrc")

suspend fun modelName(value: String?)

modelSize

@JvmName(name = "kysikuuuxcpmgkxs")

fun modelSize(value: ModelSize)

@JvmName(name = "ffafaepsyrfmurbi")

suspend fun modelSize(value: Either<String, ModelSize>?)

@JvmName(name = "xdekcoswskrctbqa")

suspend fun modelSize(value: Output<Either<String, ModelSize>>)

@JvmName(name = "wtnucevkyjtqgdek")

fun modelSize(value: String)

momentum

@JvmName(name = "lpocodaepeblgsfj")

suspend fun momentum(value: Output<Double>)

@JvmName(name = "yrterxmfrnkbbfso")

suspend fun momentum(value: Double?)

multiScale

@JvmName(name = "fsatkywxybifmuqi")

suspend fun multiScale(value: Output<Boolean>)

@JvmName(name = "qpwwgpxsnwwqxcpr")

suspend fun multiScale(value: Boolean?)

nesterov

@JvmName(name = "nitaenivloxlxjbl")

suspend fun nesterov(value: Output<Boolean>)

@JvmName(name = "vmyfuovtlemhgsev")

suspend fun nesterov(value: Boolean?)

nmsIouThreshold

@JvmName(name = "eewwoqnhaqwuhjoo")

suspend fun nmsIouThreshold(value: Output<Double>)

@JvmName(name = "qkmqnqbmrckyedsw")

suspend fun nmsIouThreshold(value: Double?)

numberOfEpochs

@JvmName(name = "gxtrjhhlyhfpppnf")

suspend fun numberOfEpochs(value: Output<Int>)

@JvmName(name = "acqtglimjdskdaax")

suspend fun numberOfEpochs(value: Int?)

numberOfWorkers

@JvmName(name = "apluimmjohpfalgf")

suspend fun numberOfWorkers(value: Output<Int>)

@JvmName(name = "rfqtpngflbhmpost")

suspend fun numberOfWorkers(value: Int?)

optimizer

@JvmName(name = "yopishsdrluxxvgf")

fun optimizer(value: StochasticOptimizer)

@JvmName(name = "uyhwvfuiokgtlmax")

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

@JvmName(name = "lodisnbksspyyqqg")

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

@JvmName(name = "bmqvivpcdxmbebnw")

fun optimizer(value: String)

randomSeed

@JvmName(name = "ixwwftygjrsbygbv")

suspend fun randomSeed(value: Output<Int>)

@JvmName(name = "vlbjkbatitmlkmqa")

suspend fun randomSeed(value: Int?)

stepLRGamma

@JvmName(name = "qblbryeycpcctuii")

suspend fun stepLRGamma(value: Output<Double>)

@JvmName(name = "umukaukfgtvcmjoy")

suspend fun stepLRGamma(value: Double?)

stepLRStepSize

@JvmName(name = "wbfqjksaupebwktn")

suspend fun stepLRStepSize(value: Output<Int>)

@JvmName(name = "naxolivhmqysuwlb")

suspend fun stepLRStepSize(value: Int?)

tileGridSize

@JvmName(name = "afthcinmyanuylwg")

suspend fun tileGridSize(value: Output<String>)

@JvmName(name = "mnflhfeynkmykfig")

suspend fun tileGridSize(value: String?)

tileOverlapRatio

@JvmName(name = "uwbawyrdjcpksknv")

suspend fun tileOverlapRatio(value: Output<Double>)

@JvmName(name = "jdkfounmkbykqfor")

suspend fun tileOverlapRatio(value: Double?)

tilePredictionsNmsThreshold

@JvmName(name = "obchqkiuwacrpxjq")

suspend fun tilePredictionsNmsThreshold(value: Output<Double>)

@JvmName(name = "lptmiignymxmehyy")

suspend fun tilePredictionsNmsThreshold(value: Double?)

trainingBatchSize

@JvmName(name = "pemuvfthmyasiwas")

suspend fun trainingBatchSize(value: Output<Int>)

@JvmName(name = "xfetxmspgjuetgsc")

suspend fun trainingBatchSize(value: Int?)

validationBatchSize

@JvmName(name = "mvcceptqoeqwjxgj")

suspend fun validationBatchSize(value: Output<Int>)

@JvmName(name = "ufxmvupjfnkyrpgp")

suspend fun validationBatchSize(value: Int?)

validationIouThreshold

@JvmName(name = "aigpcxumlbutyeus")

suspend fun validationIouThreshold(value: Output<Double>)

@JvmName(name = "eunaosfqctqjpasp")

suspend fun validationIouThreshold(value: Double?)

validationMetricType

@JvmName(name = "pvgihlvvsgilacda")

fun validationMetricType(value: ValidationMetricType)

@JvmName(name = "qplpmuljttbkfhtk")

suspend fun validationMetricType(value: Either<String, ValidationMetricType>?)

@JvmName(name = "kfjnfajmaxhqcdmj")

suspend fun validationMetricType(value: Output<Either<String, ValidationMetricType>>)

@JvmName(name = "qustmjsaiivuwjfb")

fun validationMetricType(value: String)

warmupCosineLRCycles

@JvmName(name = "lbuekuesodgqbcwc")

suspend fun warmupCosineLRCycles(value: Output<Double>)

@JvmName(name = "hymcfxeyqlgpihoj")

suspend fun warmupCosineLRCycles(value: Double?)

warmupCosineLRWarmupEpochs

@JvmName(name = "wywrxsbatduembwj")

suspend fun warmupCosineLRWarmupEpochs(value: Output<Int>)

@JvmName(name = "uafyollxrwldwxux")

suspend fun warmupCosineLRWarmupEpochs(value: Int?)

weightDecay

@JvmName(name = "tcdlokmvfjgarskf")

suspend fun weightDecay(value: Output<Double>)

@JvmName(name = "rwyxvnssqpvpbtas")

suspend fun weightDecay(value: Double?)