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

ImageModelDistributionSettingsObjectDetectionArgsBuilder

class ImageModelDistributionSettingsObjectDetectionArgsBuilder

Builder for ImageModelDistributionSettingsObjectDetectionArgs.

Functions

amsGradient

@JvmName(name = "kwjmpgqwhjrvetsi")

suspend fun amsGradient(value: Output<String>)

@JvmName(name = "euhthduorrhtcrim")

suspend fun amsGradient(value: String?)

augmentations

@JvmName(name = "iamqasryxceldrah")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "vgoqaosywfbhdsua")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "vsxcrkntxewtuhxh")

suspend fun beta1(value: Output<String>)

@JvmName(name = "ckqppqgvnkvuwcmx")

suspend fun beta1(value: String?)

beta2

@JvmName(name = "xduiflohvdnluerf")

suspend fun beta2(value: Output<String>)

@JvmName(name = "knjiwqrivmilvopc")

suspend fun beta2(value: String?)

boxDetectionsPerImage

@JvmName(name = "bhgqqcweqvyeyxeu")

suspend fun boxDetectionsPerImage(value: Output<String>)

@JvmName(name = "lutwopaejhyjpktr")

suspend fun boxDetectionsPerImage(value: String?)

boxScoreThreshold

@JvmName(name = "skkgmvubyeailsnf")

suspend fun boxScoreThreshold(value: Output<String>)

@JvmName(name = "ddkamlnxmmohbcec")

suspend fun boxScoreThreshold(value: String?)

distributed

@JvmName(name = "smebqjeanohaxosf")

suspend fun distributed(value: Output<String>)

@JvmName(name = "gvkjeisjvxwcljgp")

suspend fun distributed(value: String?)

earlyStopping

@JvmName(name = "rtqnvaaxsmuqnhkq")

suspend fun earlyStopping(value: Output<String>)

@JvmName(name = "qydfiwkbqoiyjvbd")

suspend fun earlyStopping(value: String?)

earlyStoppingDelay

@JvmName(name = "resmvxxeletrvofs")

suspend fun earlyStoppingDelay(value: Output<String>)

@JvmName(name = "gdwnliqexnhtonwn")

suspend fun earlyStoppingDelay(value: String?)

earlyStoppingPatience

@JvmName(name = "ksncbjnrawrimgje")

suspend fun earlyStoppingPatience(value: Output<String>)

@JvmName(name = "vhlsayduwsnulshd")

suspend fun earlyStoppingPatience(value: String?)

enableOnnxNormalization

@JvmName(name = "mcesfvoeltgkcqcl")

suspend fun enableOnnxNormalization(value: Output<String>)

@JvmName(name = "xqtmjravuhjwoutp")

suspend fun enableOnnxNormalization(value: String?)

evaluationFrequency

@JvmName(name = "udrkjbhvhuywebmg")

suspend fun evaluationFrequency(value: Output<String>)

@JvmName(name = "ajtumdmnbecxcutx")

suspend fun evaluationFrequency(value: String?)

gradientAccumulationStep

@JvmName(name = "aobjwppckbwnvtji")

suspend fun gradientAccumulationStep(value: Output<String>)

@JvmName(name = "cmrjnarlfeabqwef")

suspend fun gradientAccumulationStep(value: String?)

imageSize

@JvmName(name = "nepglxrvynltkcrj")

suspend fun imageSize(value: Output<String>)

@JvmName(name = "ipncrifdilhjwbfr")

suspend fun imageSize(value: String?)

layersToFreeze

@JvmName(name = "yybabnjbkqlyajnw")

suspend fun layersToFreeze(value: Output<String>)

@JvmName(name = "tvmdcjscujvflvit")

suspend fun layersToFreeze(value: String?)

learningRate

@JvmName(name = "vvhhtbugrixthajn")

suspend fun learningRate(value: Output<String>)

@JvmName(name = "hkqudaaojxhxfcya")

suspend fun learningRate(value: String?)

learningRateScheduler

@JvmName(name = "lbrmocuftwqdbpyi")

suspend fun learningRateScheduler(value: Output<String>)

@JvmName(name = "hbjfddejfwnnvtjd")

suspend fun learningRateScheduler(value: String?)

maxSize

@JvmName(name = "akacyrfkhtwupsgs")

suspend fun maxSize(value: Output<String>)

@JvmName(name = "itacsgbvhllvpkbw")

suspend fun maxSize(value: String?)

minSize

@JvmName(name = "rtvtroeqcvuxgjjs")

suspend fun minSize(value: Output<String>)

@JvmName(name = "ulpkcvnlwqhhgeii")

suspend fun minSize(value: String?)

modelName

@JvmName(name = "niencufbpvkgdnjw")

suspend fun modelName(value: Output<String>)

@JvmName(name = "iaxslhwimyavvhyy")

suspend fun modelName(value: String?)

modelSize

@JvmName(name = "gjdheciaqdpfvecl")

suspend fun modelSize(value: Output<String>)

@JvmName(name = "cfvksqogajmctotb")

suspend fun modelSize(value: String?)

momentum

@JvmName(name = "vpxtrnkxlniljabd")

suspend fun momentum(value: Output<String>)

@JvmName(name = "torgmlgnwtvnfklm")

suspend fun momentum(value: String?)

multiScale

@JvmName(name = "ggktyuneikinvukr")

suspend fun multiScale(value: Output<String>)

@JvmName(name = "yicdkiaemacgutbk")

suspend fun multiScale(value: String?)

nesterov

@JvmName(name = "msoyptsngnkwkusw")

suspend fun nesterov(value: Output<String>)

@JvmName(name = "kkyemjidjccyiqus")

suspend fun nesterov(value: String?)

nmsIouThreshold

@JvmName(name = "srkrolqvcdwiaaib")

suspend fun nmsIouThreshold(value: Output<String>)

@JvmName(name = "hwwjymxcavopkcvt")

suspend fun nmsIouThreshold(value: String?)

numberOfEpochs

@JvmName(name = "vvsuewhuuwxoiqrc")

suspend fun numberOfEpochs(value: Output<String>)

@JvmName(name = "munuwdebflxsmjwk")

suspend fun numberOfEpochs(value: String?)

numberOfWorkers

@JvmName(name = "txmlilwsqglinupr")

suspend fun numberOfWorkers(value: Output<String>)

@JvmName(name = "rmkmodpgcqsbjvla")

suspend fun numberOfWorkers(value: String?)

optimizer

@JvmName(name = "raekurnrniejfrnf")

suspend fun optimizer(value: Output<String>)

@JvmName(name = "lmkojwmxgskqufsb")

suspend fun optimizer(value: String?)

randomSeed

@JvmName(name = "qjcrkcyeewysqchm")

suspend fun randomSeed(value: Output<String>)

@JvmName(name = "ktcyufordsqbkwfd")

suspend fun randomSeed(value: String?)

stepLRGamma

@JvmName(name = "jffdmrkekdwnleic")

suspend fun stepLRGamma(value: Output<String>)

@JvmName(name = "vvejntjrrwggxnps")

suspend fun stepLRGamma(value: String?)

stepLRStepSize

@JvmName(name = "cobwpqkaoogxqcur")

suspend fun stepLRStepSize(value: Output<String>)

@JvmName(name = "jpsvigpivpireuse")

suspend fun stepLRStepSize(value: String?)

tileGridSize

@JvmName(name = "rnxftcsaqecoxoji")

suspend fun tileGridSize(value: Output<String>)

@JvmName(name = "qceuqspvwggmetja")

suspend fun tileGridSize(value: String?)

tileOverlapRatio

@JvmName(name = "rkmdnnclghtdtyvi")

suspend fun tileOverlapRatio(value: Output<String>)

@JvmName(name = "jxscrtrwukixxhmh")

suspend fun tileOverlapRatio(value: String?)

tilePredictionsNmsThreshold

@JvmName(name = "xblyicmqjkevbqqk")

suspend fun tilePredictionsNmsThreshold(value: Output<String>)

@JvmName(name = "tqhuroeqgkxrxnmi")

suspend fun tilePredictionsNmsThreshold(value: String?)

trainingBatchSize

@JvmName(name = "javeadhrydxmdvys")

suspend fun trainingBatchSize(value: Output<String>)

@JvmName(name = "ptswoejmdymepnrn")

suspend fun trainingBatchSize(value: String?)

validationBatchSize

@JvmName(name = "vtihirolonvwcgqp")

suspend fun validationBatchSize(value: Output<String>)

@JvmName(name = "iserjxrlslhedokj")

suspend fun validationBatchSize(value: String?)

validationIouThreshold

@JvmName(name = "kyxsokaekogpogho")

suspend fun validationIouThreshold(value: Output<String>)

@JvmName(name = "jhaptvbtfysnmugf")

suspend fun validationIouThreshold(value: String?)

validationMetricType

@JvmName(name = "wcuwaulfiyhrexio")

suspend fun validationMetricType(value: Output<String>)

@JvmName(name = "rcmjbopfltakflwx")

suspend fun validationMetricType(value: String?)

warmupCosineLRCycles

@JvmName(name = "hgqkkpvpjtbljpbt")

suspend fun warmupCosineLRCycles(value: Output<String>)

@JvmName(name = "actkjecinodwtmma")

suspend fun warmupCosineLRCycles(value: String?)

warmupCosineLRWarmupEpochs

@JvmName(name = "iownqlwaxvceudua")

suspend fun warmupCosineLRWarmupEpochs(value: Output<String>)

@JvmName(name = "awniiifdedytsfdt")

suspend fun warmupCosineLRWarmupEpochs(value: String?)

weightDecay

@JvmName(name = "eiembuohqmvbhfpq")

suspend fun weightDecay(value: Output<String>)

@JvmName(name = "rquyfbwjsbimmfqw")

suspend fun weightDecay(value: String?)