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

ImageModelDistributionSettingsObjectDetectionArgsBuilder

class ImageModelDistributionSettingsObjectDetectionArgsBuilder

Builder for ImageModelDistributionSettingsObjectDetectionArgs.

Functions

amsGradient

@JvmName(name = "uqgppbkhpdfehpqq")

suspend fun amsGradient(value: Output<String>)

@JvmName(name = "bsklokrvhckkmoma")

suspend fun amsGradient(value: String?)

augmentations

@JvmName(name = "dwbpfdvxhmoulktt")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "loqasdmsxekoibga")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "jvcuhrwfojfgqbuq")

suspend fun beta1(value: Output<String>)

@JvmName(name = "wuuxfrooggyjlbrg")

suspend fun beta1(value: String?)

beta2

@JvmName(name = "sswyxitwowchqihl")

suspend fun beta2(value: Output<String>)

@JvmName(name = "plscugpfpsklpnym")

suspend fun beta2(value: String?)

boxDetectionsPerImage

@JvmName(name = "aklhxdnudfleesrl")

suspend fun boxDetectionsPerImage(value: Output<String>)

@JvmName(name = "mnveofhipuwxmokb")

suspend fun boxDetectionsPerImage(value: String?)

boxScoreThreshold

@JvmName(name = "klqmfbqjgpcipmes")

suspend fun boxScoreThreshold(value: Output<String>)

@JvmName(name = "fgoulpmhthlqctrj")

suspend fun boxScoreThreshold(value: String?)

distributed

@JvmName(name = "smyhuwyuvyscqocj")

suspend fun distributed(value: Output<String>)

@JvmName(name = "hbcshjtfpxcpouae")

suspend fun distributed(value: String?)

earlyStopping

@JvmName(name = "igfwmsnrdloodvpo")

suspend fun earlyStopping(value: Output<String>)

@JvmName(name = "ddidigdahxaybaha")

suspend fun earlyStopping(value: String?)

earlyStoppingDelay

@JvmName(name = "wddxcwmbgxnvmvxp")

suspend fun earlyStoppingDelay(value: Output<String>)

@JvmName(name = "hjglcjcdffuwabdu")

suspend fun earlyStoppingDelay(value: String?)

earlyStoppingPatience

@JvmName(name = "ucroedlbocamgxmg")

suspend fun earlyStoppingPatience(value: Output<String>)

@JvmName(name = "nesfxgatxngymtyv")

suspend fun earlyStoppingPatience(value: String?)

enableOnnxNormalization

@JvmName(name = "tqgqtolcvhaktrdk")

suspend fun enableOnnxNormalization(value: Output<String>)

@JvmName(name = "eqvepuifcscieljd")

suspend fun enableOnnxNormalization(value: String?)

evaluationFrequency

@JvmName(name = "lvowsgpsmqeebnig")

suspend fun evaluationFrequency(value: Output<String>)

@JvmName(name = "gglbkvwqxagelfsk")

suspend fun evaluationFrequency(value: String?)

gradientAccumulationStep

@JvmName(name = "wuawifudpvpmwhpd")

suspend fun gradientAccumulationStep(value: Output<String>)

@JvmName(name = "ndmalweydkthrils")

suspend fun gradientAccumulationStep(value: String?)

imageSize

@JvmName(name = "kxttullehokmkvlf")

suspend fun imageSize(value: Output<String>)

@JvmName(name = "ytxxjcwwirnbthpu")

suspend fun imageSize(value: String?)

layersToFreeze

@JvmName(name = "frqfvnbomrbtunpb")

suspend fun layersToFreeze(value: Output<String>)

@JvmName(name = "apdkmygilreycvme")

suspend fun layersToFreeze(value: String?)

learningRate

@JvmName(name = "cidfcfpqjcadryxo")

suspend fun learningRate(value: Output<String>)

@JvmName(name = "qpleiermbvuypwlf")

suspend fun learningRate(value: String?)

learningRateScheduler

@JvmName(name = "burlwupvstakywhx")

suspend fun learningRateScheduler(value: Output<String>)

@JvmName(name = "vkotllhbnvifjnax")

suspend fun learningRateScheduler(value: String?)

maxSize

@JvmName(name = "vefrnlqnulurbkny")

suspend fun maxSize(value: Output<String>)

@JvmName(name = "sehiexqfhrqfgjed")

suspend fun maxSize(value: String?)

minSize

@JvmName(name = "ufjnsgpibehldwts")

suspend fun minSize(value: Output<String>)

@JvmName(name = "tftmsangjbrlyobp")

suspend fun minSize(value: String?)

modelName

@JvmName(name = "nhqgtubrcxjimosf")

suspend fun modelName(value: Output<String>)

@JvmName(name = "fqihosbhuyoqrrnh")

suspend fun modelName(value: String?)

modelSize

@JvmName(name = "dyqwjkgfbdffackf")

suspend fun modelSize(value: Output<String>)

@JvmName(name = "mcrxaloghxpfiwor")

suspend fun modelSize(value: String?)

momentum

@JvmName(name = "dtrbomgtkamvwefn")

suspend fun momentum(value: Output<String>)

@JvmName(name = "crvnxphdrbwisomf")

suspend fun momentum(value: String?)

multiScale

@JvmName(name = "wylmhimcqxwmhofw")

suspend fun multiScale(value: Output<String>)

@JvmName(name = "vxpbhnckqbeywhcy")

suspend fun multiScale(value: String?)

nesterov

@JvmName(name = "ecbjhumpkwxumhae")

suspend fun nesterov(value: Output<String>)

@JvmName(name = "ueqyjttimlupxhwr")

suspend fun nesterov(value: String?)

nmsIouThreshold

@JvmName(name = "qxiehahcsttjbply")

suspend fun nmsIouThreshold(value: Output<String>)

@JvmName(name = "oaityuxjmjuufkst")

suspend fun nmsIouThreshold(value: String?)

numberOfEpochs

@JvmName(name = "ayhkimmowcsnldge")

suspend fun numberOfEpochs(value: Output<String>)

@JvmName(name = "ypebuogtdoenkucu")

suspend fun numberOfEpochs(value: String?)

numberOfWorkers

@JvmName(name = "bblxpfxfgxarfvfl")

suspend fun numberOfWorkers(value: Output<String>)

@JvmName(name = "umtypbxmrfilypgd")

suspend fun numberOfWorkers(value: String?)

optimizer

@JvmName(name = "bpxnvunddntfmbbp")

suspend fun optimizer(value: Output<String>)

@JvmName(name = "mdqfpbweeynsdnpl")

suspend fun optimizer(value: String?)

randomSeed

@JvmName(name = "ptfoexmrkdwxwpkh")

suspend fun randomSeed(value: Output<String>)

@JvmName(name = "nevtqtmtmsjasnec")

suspend fun randomSeed(value: String?)

stepLRGamma

@JvmName(name = "epjrqvamgtnculvq")

suspend fun stepLRGamma(value: Output<String>)

@JvmName(name = "igdsxchmiaofsagl")

suspend fun stepLRGamma(value: String?)

stepLRStepSize

@JvmName(name = "cfknglsgnkglnlwa")

suspend fun stepLRStepSize(value: Output<String>)

@JvmName(name = "pwrjdpguvsjeddgp")

suspend fun stepLRStepSize(value: String?)

tileGridSize

@JvmName(name = "agmxnkhrwotujkmy")

suspend fun tileGridSize(value: Output<String>)

@JvmName(name = "mykplwnwvenflrbj")

suspend fun tileGridSize(value: String?)

tileOverlapRatio

@JvmName(name = "nmgxljgkorwficff")

suspend fun tileOverlapRatio(value: Output<String>)

@JvmName(name = "ppenxpcalfqfxllr")

suspend fun tileOverlapRatio(value: String?)

tilePredictionsNmsThreshold

@JvmName(name = "kxwoulodikrgdkge")

suspend fun tilePredictionsNmsThreshold(value: Output<String>)

@JvmName(name = "yrdyesgxbfnrvjmv")

suspend fun tilePredictionsNmsThreshold(value: String?)

trainingBatchSize

@JvmName(name = "swhjdnvudqvjddva")

suspend fun trainingBatchSize(value: Output<String>)

@JvmName(name = "xnpmbrrrtrssxxql")

suspend fun trainingBatchSize(value: String?)

validationBatchSize

@JvmName(name = "vvxabtqejuxbdhtg")

suspend fun validationBatchSize(value: Output<String>)

@JvmName(name = "ixuptguwyrhygnds")

suspend fun validationBatchSize(value: String?)

validationIouThreshold

@JvmName(name = "protqwhrilxsrwlq")

suspend fun validationIouThreshold(value: Output<String>)

@JvmName(name = "hwbexitnmietyrik")

suspend fun validationIouThreshold(value: String?)

validationMetricType

@JvmName(name = "jcjxibmdcxarlkqd")

suspend fun validationMetricType(value: Output<String>)

@JvmName(name = "jyswegebhsgkohhr")

suspend fun validationMetricType(value: String?)

warmupCosineLRCycles

@JvmName(name = "afnflvhdnfhiqtfy")

suspend fun warmupCosineLRCycles(value: Output<String>)

@JvmName(name = "bwmhwosqvmmbqmhx")

suspend fun warmupCosineLRCycles(value: String?)

warmupCosineLRWarmupEpochs

@JvmName(name = "ciiupjewpxrxavkq")

suspend fun warmupCosineLRWarmupEpochs(value: Output<String>)

@JvmName(name = "gyuhakmtsldbejyl")

suspend fun warmupCosineLRWarmupEpochs(value: String?)

weightDecay

@JvmName(name = "adsfdanthtixekkn")

suspend fun weightDecay(value: Output<String>)

@JvmName(name = "alevaqutqldakotn")

suspend fun weightDecay(value: String?)