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

ImageModelSettingsObjectDetectionArgsBuilder

class ImageModelSettingsObjectDetectionArgsBuilder

Builder for ImageModelSettingsObjectDetectionArgs.

Functions

advancedSettings

@JvmName(name = "ouskpxioijdfcyyx")

suspend fun advancedSettings(value: Output<String>)

@JvmName(name = "ymrelcjbprfwpumu")

suspend fun advancedSettings(value: String?)

amsGradient

@JvmName(name = "grqpvmaoaljltuki")

suspend fun amsGradient(value: Output<Boolean>)

@JvmName(name = "welrnfpdaopfugrp")

suspend fun amsGradient(value: Boolean?)

augmentations

@JvmName(name = "xvhviyhfgnirxnok")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "chkucifrkoiufgvr")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "nepubptfulgdclkq")

suspend fun beta1(value: Output<Double>)

@JvmName(name = "muebecdrloqmwasm")

suspend fun beta1(value: Double?)

beta2

@JvmName(name = "bupavrsvbunxajsh")

suspend fun beta2(value: Output<Double>)

@JvmName(name = "uyahtiwkqdgagblv")

suspend fun beta2(value: Double?)

boxDetectionsPerImage

@JvmName(name = "pkbkmhrvrfwqdqrk")

suspend fun boxDetectionsPerImage(value: Output<Int>)

@JvmName(name = "abayrhowcvonyulr")

suspend fun boxDetectionsPerImage(value: Int?)

boxScoreThreshold

@JvmName(name = "wuetiagsfioepaes")

suspend fun boxScoreThreshold(value: Output<Double>)

@JvmName(name = "hwnfnbwcssuhgihw")

suspend fun boxScoreThreshold(value: Double?)

checkpointFrequency

@JvmName(name = "vglqphhanmbcastk")

suspend fun checkpointFrequency(value: Output<Int>)

@JvmName(name = "itonwrymmmadyryw")

suspend fun checkpointFrequency(value: Int?)

checkpointModel

@JvmName(name = "ulcpvwkaelpgheug")

suspend fun checkpointModel(value: MLFlowModelJobInputArgs?)

@JvmName(name = "kjwjffxujlsdknkb")

suspend fun checkpointModel(value: Output<MLFlowModelJobInputArgs>)

@JvmName(name = "grqkgeojopgnnuda")

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

checkpointRunId

@JvmName(name = "wdmaaygkixdnghse")

suspend fun checkpointRunId(value: Output<String>)

@JvmName(name = "rvfpkflawjmeepig")

suspend fun checkpointRunId(value: String?)

distributed

@JvmName(name = "xxckxeabinpggtsi")

suspend fun distributed(value: Output<Boolean>)

@JvmName(name = "gaatfynwfkxyleij")

suspend fun distributed(value: Boolean?)

earlyStopping

@JvmName(name = "qfppbwugrpfbonav")

suspend fun earlyStopping(value: Output<Boolean>)

@JvmName(name = "xpcypqitqmvvcpdi")

suspend fun earlyStopping(value: Boolean?)

earlyStoppingDelay

@JvmName(name = "nutlujmbbayafohl")

suspend fun earlyStoppingDelay(value: Output<Int>)

@JvmName(name = "hkfsvlmssjfplbsc")

suspend fun earlyStoppingDelay(value: Int?)

earlyStoppingPatience

@JvmName(name = "krqutgmklatrkvsg")

suspend fun earlyStoppingPatience(value: Output<Int>)

@JvmName(name = "avuqlsjkywdecpve")

suspend fun earlyStoppingPatience(value: Int?)

enableOnnxNormalization

@JvmName(name = "anyuhaqsbctxctbv")

suspend fun enableOnnxNormalization(value: Output<Boolean>)

@JvmName(name = "myrvqxfmodqfptbd")

suspend fun enableOnnxNormalization(value: Boolean?)

evaluationFrequency

@JvmName(name = "cqpvfnuhnmydgwat")

suspend fun evaluationFrequency(value: Output<Int>)

@JvmName(name = "xsfrqwvpppibhpnw")

suspend fun evaluationFrequency(value: Int?)

gradientAccumulationStep

@JvmName(name = "krymdhykagmgbutc")

suspend fun gradientAccumulationStep(value: Output<Int>)

@JvmName(name = "ykrscnorxwxsquhe")

suspend fun gradientAccumulationStep(value: Int?)

imageSize

@JvmName(name = "bffxeuiyvkvpapli")

suspend fun imageSize(value: Output<Int>)

@JvmName(name = "nqfwjbancsfihpgj")

suspend fun imageSize(value: Int?)

layersToFreeze

@JvmName(name = "khlbkvgvqsyreltf")

suspend fun layersToFreeze(value: Output<Int>)

@JvmName(name = "acadicktrcwpdruo")

suspend fun layersToFreeze(value: Int?)

learningRate

@JvmName(name = "inqkuuwnwxepnojc")

suspend fun learningRate(value: Output<Double>)

@JvmName(name = "juudwsduchgtuybm")

suspend fun learningRate(value: Double?)

learningRateScheduler

@JvmName(name = "jilhbweoniltxbki")

fun learningRateScheduler(value: LearningRateScheduler)

@JvmName(name = "bvvktrofyyspdvcs")

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

@JvmName(name = "fjvwaliuyijpkoom")

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

@JvmName(name = "whncanpuaaqrbnlj")

fun learningRateScheduler(value: String)

maxSize

@JvmName(name = "hvpvndnrvrqxglmx")

suspend fun maxSize(value: Output<Int>)

@JvmName(name = "gkdtjusexlanyjuj")

suspend fun maxSize(value: Int?)

minSize

@JvmName(name = "esuandhivhrqocxc")

suspend fun minSize(value: Output<Int>)

@JvmName(name = "dmvbhnmbpqvpljso")

suspend fun minSize(value: Int?)

modelName

@JvmName(name = "lbyrtxttswfvcfit")

suspend fun modelName(value: Output<String>)

@JvmName(name = "onexuhitsthonihy")

suspend fun modelName(value: String?)

modelSize

@JvmName(name = "gmijbbnlrxkjbaix")

fun modelSize(value: ModelSize)

@JvmName(name = "ftxuuxnpvqeoavcc")

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

@JvmName(name = "yyusgrtygfjamcgm")

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

@JvmName(name = "gioeibfyunhusnxp")

fun modelSize(value: String)

momentum

@JvmName(name = "ilqudgcxdqrwadjr")

suspend fun momentum(value: Output<Double>)

@JvmName(name = "fkebbebpwxkbtlow")

suspend fun momentum(value: Double?)

multiScale

@JvmName(name = "sxmedvtraixybmgp")

suspend fun multiScale(value: Output<Boolean>)

@JvmName(name = "rdgkxogcbsbfhplr")

suspend fun multiScale(value: Boolean?)

nesterov

@JvmName(name = "ucslootpacwiyhhw")

suspend fun nesterov(value: Output<Boolean>)

@JvmName(name = "ykgusvxxjeympalg")

suspend fun nesterov(value: Boolean?)

nmsIouThreshold

@JvmName(name = "bepalosncchlopok")

suspend fun nmsIouThreshold(value: Output<Double>)

@JvmName(name = "jjdihptqqgtyuhvy")

suspend fun nmsIouThreshold(value: Double?)

numberOfEpochs

@JvmName(name = "wowdjfjjxhoyvlem")

suspend fun numberOfEpochs(value: Output<Int>)

@JvmName(name = "obshbwkdvlctpvhj")

suspend fun numberOfEpochs(value: Int?)

numberOfWorkers

@JvmName(name = "uemfvcypbuvnumck")

suspend fun numberOfWorkers(value: Output<Int>)

@JvmName(name = "nwttvgwvttprqrct")

suspend fun numberOfWorkers(value: Int?)

optimizer

@JvmName(name = "mrqpnwbbihdwvjfr")

fun optimizer(value: StochasticOptimizer)

@JvmName(name = "jijhpjqrwyjsqejm")

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

@JvmName(name = "kfpwmlflkguyqoda")

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

@JvmName(name = "gjahlwhmxsqjmjim")

fun optimizer(value: String)

randomSeed

@JvmName(name = "tbhigavnlvisyekp")

suspend fun randomSeed(value: Output<Int>)

@JvmName(name = "nfbubheacwfgkbyj")

suspend fun randomSeed(value: Int?)

stepLRGamma

@JvmName(name = "eyyjrptjebtjqtpy")

suspend fun stepLRGamma(value: Output<Double>)

@JvmName(name = "jewlvcqlwhuayrft")

suspend fun stepLRGamma(value: Double?)

stepLRStepSize

@JvmName(name = "xmdvlkodntgfesjf")

suspend fun stepLRStepSize(value: Output<Int>)

@JvmName(name = "lsajywvmrccvlblk")

suspend fun stepLRStepSize(value: Int?)

tileGridSize

@JvmName(name = "pjplirqqdcytamcm")

suspend fun tileGridSize(value: Output<String>)

@JvmName(name = "wsxiixdrqyyrpimx")

suspend fun tileGridSize(value: String?)

tileOverlapRatio

@JvmName(name = "xqgknhsclvukflcg")

suspend fun tileOverlapRatio(value: Output<Double>)

@JvmName(name = "ygyitncgoiexmcdt")

suspend fun tileOverlapRatio(value: Double?)

tilePredictionsNmsThreshold

@JvmName(name = "yqsbvvaflpbatjeo")

suspend fun tilePredictionsNmsThreshold(value: Output<Double>)

@JvmName(name = "vfvguwoayndrdlgu")

suspend fun tilePredictionsNmsThreshold(value: Double?)

trainingBatchSize

@JvmName(name = "libuklywivpkydvb")

suspend fun trainingBatchSize(value: Output<Int>)

@JvmName(name = "aiyombdsmydhdqun")

suspend fun trainingBatchSize(value: Int?)

validationBatchSize

@JvmName(name = "ilvgeeqpoiyperdd")

suspend fun validationBatchSize(value: Output<Int>)

@JvmName(name = "spabtcwhuyciqneu")

suspend fun validationBatchSize(value: Int?)

validationIouThreshold

@JvmName(name = "tgntdklnhlfieyht")

suspend fun validationIouThreshold(value: Output<Double>)

@JvmName(name = "jhkhpltkltfefkyy")

suspend fun validationIouThreshold(value: Double?)

validationMetricType

@JvmName(name = "waojkxkvkqqkvgjh")

fun validationMetricType(value: ValidationMetricType)

@JvmName(name = "vbodspgbeoacqgkn")

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

@JvmName(name = "mvfiqcnfuhivbyfd")

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

@JvmName(name = "abnvatvcrsfptybi")

fun validationMetricType(value: String)

warmupCosineLRCycles

@JvmName(name = "nkmcaivexvvfulbt")

suspend fun warmupCosineLRCycles(value: Output<Double>)

@JvmName(name = "cgohyeccpwxfunvh")

suspend fun warmupCosineLRCycles(value: Double?)

warmupCosineLRWarmupEpochs

@JvmName(name = "dsdxtytsadwrlgda")

suspend fun warmupCosineLRWarmupEpochs(value: Output<Int>)

@JvmName(name = "xkpvodlrnueyhfvv")

suspend fun warmupCosineLRWarmupEpochs(value: Int?)

weightDecay

@JvmName(name = "dyafoijycjrliyqn")

suspend fun weightDecay(value: Output<Double>)

@JvmName(name = "uhanfloclbnyuwqc")

suspend fun weightDecay(value: Double?)