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

ImageModelDistributionSettingsObjectDetectionArgsBuilder

class ImageModelDistributionSettingsObjectDetectionArgsBuilder

Builder for ImageModelDistributionSettingsObjectDetectionArgs.

Functions

amsGradient

@JvmName(name = "frnyqaykyhkcpggt")

suspend fun amsGradient(value: Output<String>)

@JvmName(name = "bqbdussadgbalxyo")

suspend fun amsGradient(value: String?)

augmentations

@JvmName(name = "mnmyonqfolypdjsl")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "jbvpquvwivkagsyv")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "arllykjkmafsfrjl")

suspend fun beta1(value: Output<String>)

@JvmName(name = "hgqhekhkcugttteq")

suspend fun beta1(value: String?)

beta2

@JvmName(name = "uqyhmlewrwwvwdlx")

suspend fun beta2(value: Output<String>)

@JvmName(name = "dyfxnwkdhpqayemr")

suspend fun beta2(value: String?)

boxDetectionsPerImage

@JvmName(name = "lnvlgfsmuaisxnmk")

suspend fun boxDetectionsPerImage(value: Output<String>)

@JvmName(name = "xfmaavdfjnpbffyg")

suspend fun boxDetectionsPerImage(value: String?)

boxScoreThreshold

@JvmName(name = "mxsuccvguvshtcpi")

suspend fun boxScoreThreshold(value: Output<String>)

@JvmName(name = "mlvaenrvmtjwqali")

suspend fun boxScoreThreshold(value: String?)

distributed

@JvmName(name = "ulhemibbvjocuemv")

suspend fun distributed(value: Output<String>)

@JvmName(name = "mqefkdsfcnqbxyey")

suspend fun distributed(value: String?)

earlyStopping

@JvmName(name = "glbxvxidcqwnwkhg")

suspend fun earlyStopping(value: Output<String>)

@JvmName(name = "bqvacjeyntvgtmab")

suspend fun earlyStopping(value: String?)

earlyStoppingDelay

@JvmName(name = "jnbblddbjvetdqbo")

suspend fun earlyStoppingDelay(value: Output<String>)

@JvmName(name = "lshxkfwvwybaqjfi")

suspend fun earlyStoppingDelay(value: String?)

earlyStoppingPatience

@JvmName(name = "cocjfxrkqnemimns")

suspend fun earlyStoppingPatience(value: Output<String>)

@JvmName(name = "cphpnjvndosodqvx")

suspend fun earlyStoppingPatience(value: String?)

enableOnnxNormalization

@JvmName(name = "bfxtectettsxvyoi")

suspend fun enableOnnxNormalization(value: Output<String>)

@JvmName(name = "thgcjduccfxdagpl")

suspend fun enableOnnxNormalization(value: String?)

evaluationFrequency

@JvmName(name = "cnnbuaxabwptnjen")

suspend fun evaluationFrequency(value: Output<String>)

@JvmName(name = "gorjhkmqilpnhqjy")

suspend fun evaluationFrequency(value: String?)

gradientAccumulationStep

@JvmName(name = "bqyfirokwnuhyojk")

suspend fun gradientAccumulationStep(value: Output<String>)

@JvmName(name = "yjnxrvqojlfpxkga")

suspend fun gradientAccumulationStep(value: String?)

imageSize

@JvmName(name = "gdmglnnabtbqqiaj")

suspend fun imageSize(value: Output<String>)

@JvmName(name = "ycsuiycycgufrwxy")

suspend fun imageSize(value: String?)

layersToFreeze

@JvmName(name = "pyadksffgdyklbmo")

suspend fun layersToFreeze(value: Output<String>)

@JvmName(name = "vxjctoaghnsofbyl")

suspend fun layersToFreeze(value: String?)

learningRate

@JvmName(name = "wffdcsvumhxfmtxx")

suspend fun learningRate(value: Output<String>)

@JvmName(name = "ewobtpnoorxpussu")

suspend fun learningRate(value: String?)

learningRateScheduler

@JvmName(name = "jmiihpmqgaixgsmc")

suspend fun learningRateScheduler(value: Output<String>)

@JvmName(name = "flchthwykvdenoyr")

suspend fun learningRateScheduler(value: String?)

maxSize

@JvmName(name = "lerkcdpfwjilcdma")

suspend fun maxSize(value: Output<String>)

@JvmName(name = "umlunlkafhlonpnq")

suspend fun maxSize(value: String?)

minSize

@JvmName(name = "anknysbnxjopdebq")

suspend fun minSize(value: Output<String>)

@JvmName(name = "onktgxpncdyciwqb")

suspend fun minSize(value: String?)

modelName

@JvmName(name = "poldljddebtevgnl")

suspend fun modelName(value: Output<String>)

@JvmName(name = "tyaouoviaumcweef")

suspend fun modelName(value: String?)

modelSize

@JvmName(name = "nhnalxedwhvcjkpf")

suspend fun modelSize(value: Output<String>)

@JvmName(name = "kgihealntcsefhfc")

suspend fun modelSize(value: String?)

momentum

@JvmName(name = "fgtqvuahbpqoymhr")

suspend fun momentum(value: Output<String>)

@JvmName(name = "gvxgvdlchcpargrm")

suspend fun momentum(value: String?)

multiScale

@JvmName(name = "oqpvqqyxbrnlydxl")

suspend fun multiScale(value: Output<String>)

@JvmName(name = "ppaluejviyxbsqom")

suspend fun multiScale(value: String?)

nesterov

@JvmName(name = "epjbyqqhdrwembpd")

suspend fun nesterov(value: Output<String>)

@JvmName(name = "weevmdjhxlvfqssr")

suspend fun nesterov(value: String?)

nmsIouThreshold

@JvmName(name = "ikakkxnbhrxwphkn")

suspend fun nmsIouThreshold(value: Output<String>)

@JvmName(name = "yxcbehrxgpediqvn")

suspend fun nmsIouThreshold(value: String?)

numberOfEpochs

@JvmName(name = "cyffhkswgqkmalcv")

suspend fun numberOfEpochs(value: Output<String>)

@JvmName(name = "utonkuktojwcwcpe")

suspend fun numberOfEpochs(value: String?)

numberOfWorkers

@JvmName(name = "yywjorancwnecfjj")

suspend fun numberOfWorkers(value: Output<String>)

@JvmName(name = "wtrrnokwpfkfcxbt")

suspend fun numberOfWorkers(value: String?)

optimizer

@JvmName(name = "ynpayanofupamppv")

suspend fun optimizer(value: Output<String>)

@JvmName(name = "glselflnnsdekrmv")

suspend fun optimizer(value: String?)

randomSeed

@JvmName(name = "tmaiiukvxpjdnlek")

suspend fun randomSeed(value: Output<String>)

@JvmName(name = "wmgxylyfwucfirit")

suspend fun randomSeed(value: String?)

stepLRGamma

@JvmName(name = "nsmjgffhwdnfbrwr")

suspend fun stepLRGamma(value: Output<String>)

@JvmName(name = "rvgrwmajoqxnywla")

suspend fun stepLRGamma(value: String?)

stepLRStepSize

@JvmName(name = "iehctqulgietavba")

suspend fun stepLRStepSize(value: Output<String>)

@JvmName(name = "mqpjyajaemccroat")

suspend fun stepLRStepSize(value: String?)

tileGridSize

@JvmName(name = "sfbkgficjwvrttpn")

suspend fun tileGridSize(value: Output<String>)

@JvmName(name = "qofetfwdofwajtgp")

suspend fun tileGridSize(value: String?)

tileOverlapRatio

@JvmName(name = "tpviytbtycmfsumb")

suspend fun tileOverlapRatio(value: Output<String>)

@JvmName(name = "liboypsegwdwaguv")

suspend fun tileOverlapRatio(value: String?)

tilePredictionsNmsThreshold

@JvmName(name = "cklgvmkuddocajus")

suspend fun tilePredictionsNmsThreshold(value: Output<String>)

@JvmName(name = "ghypxjvepffmexay")

suspend fun tilePredictionsNmsThreshold(value: String?)

trainingBatchSize

@JvmName(name = "relcslrvgnoikycn")

suspend fun trainingBatchSize(value: Output<String>)

@JvmName(name = "givkllwofrxagrkw")

suspend fun trainingBatchSize(value: String?)

validationBatchSize

@JvmName(name = "tekkajqmtfyihqye")

suspend fun validationBatchSize(value: Output<String>)

@JvmName(name = "muqbhyqybgmdebxb")

suspend fun validationBatchSize(value: String?)

validationIouThreshold

@JvmName(name = "faujsmevadeirdie")

suspend fun validationIouThreshold(value: Output<String>)

@JvmName(name = "fxxggbuvupfnulxs")

suspend fun validationIouThreshold(value: String?)

validationMetricType

@JvmName(name = "pworleblbetsskxg")

suspend fun validationMetricType(value: Output<String>)

@JvmName(name = "bklwlxruaeaaptkt")

suspend fun validationMetricType(value: String?)

warmupCosineLRCycles

@JvmName(name = "xftflkunqixlbwoe")

suspend fun warmupCosineLRCycles(value: Output<String>)

@JvmName(name = "gjesvgutdhbdoqik")

suspend fun warmupCosineLRCycles(value: String?)

warmupCosineLRWarmupEpochs

@JvmName(name = "jlujdgrfuurpgoxe")

suspend fun warmupCosineLRWarmupEpochs(value: Output<String>)

@JvmName(name = "kogokaqicegqjbiw")

suspend fun warmupCosineLRWarmupEpochs(value: String?)

weightDecay

@JvmName(name = "loehpwvyxorkfili")

suspend fun weightDecay(value: Output<String>)

@JvmName(name = "hxhvrikwphiepite")

suspend fun weightDecay(value: String?)