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

ImageModelSettingsObjectDetectionArgsBuilder

class ImageModelSettingsObjectDetectionArgsBuilder

Builder for ImageModelSettingsObjectDetectionArgs.

Functions

advancedSettings

@JvmName(name = "ijymqpwebfsxxefc")

suspend fun advancedSettings(value: Output<String>)

@JvmName(name = "tlfbpqkrrdflymxn")

suspend fun advancedSettings(value: String?)

amsGradient

@JvmName(name = "hkspfsjehtqkscmm")

suspend fun amsGradient(value: Output<Boolean>)

@JvmName(name = "hrhwyqjjbbipdkia")

suspend fun amsGradient(value: Boolean?)

augmentations

@JvmName(name = "apxopqchohtyheha")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "hhfjpnwphqpiiqyl")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "pvpfpdisqpcnxnmo")

suspend fun beta1(value: Output<Double>)

@JvmName(name = "udtkbjsvupcfjkar")

suspend fun beta1(value: Double?)

beta2

@JvmName(name = "mdoepkenpeyjtpac")

suspend fun beta2(value: Output<Double>)

@JvmName(name = "irimqdfxijjietkw")

suspend fun beta2(value: Double?)

boxDetectionsPerImage

@JvmName(name = "iwpxyhiroeurchwo")

suspend fun boxDetectionsPerImage(value: Output<Int>)

@JvmName(name = "iqoughkkxaoqkmjm")

suspend fun boxDetectionsPerImage(value: Int?)

boxScoreThreshold

@JvmName(name = "sveltyworwpctobs")

suspend fun boxScoreThreshold(value: Output<Double>)

@JvmName(name = "vbmgmpjndjxyikpg")

suspend fun boxScoreThreshold(value: Double?)

checkpointFrequency

@JvmName(name = "wbtsietgmfglahrv")

suspend fun checkpointFrequency(value: Output<Int>)

@JvmName(name = "amegeqkdlpgtjvyp")

suspend fun checkpointFrequency(value: Int?)

checkpointModel

@JvmName(name = "errwrnswespvtdxa")

suspend fun checkpointModel(value: MLFlowModelJobInputArgs?)

@JvmName(name = "rcigokjxjraoiwwm")

suspend fun checkpointModel(value: Output<MLFlowModelJobInputArgs>)

@JvmName(name = "rciwoxkmxxrrbodd")

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

checkpointRunId

@JvmName(name = "cflxuieameluivfp")

suspend fun checkpointRunId(value: Output<String>)

@JvmName(name = "sjnnigskpxbbqfme")

suspend fun checkpointRunId(value: String?)

distributed

@JvmName(name = "tsdshtvyhasayjge")

suspend fun distributed(value: Output<Boolean>)

@JvmName(name = "kdxixnkdjihhfder")

suspend fun distributed(value: Boolean?)

earlyStopping

@JvmName(name = "oigumbvmnlxfjccn")

suspend fun earlyStopping(value: Output<Boolean>)

@JvmName(name = "smvpvnsnfvuelxdo")

suspend fun earlyStopping(value: Boolean?)

earlyStoppingDelay

@JvmName(name = "yankyaadqmyencxw")

suspend fun earlyStoppingDelay(value: Output<Int>)

@JvmName(name = "obqqumgjsqfrgpia")

suspend fun earlyStoppingDelay(value: Int?)

earlyStoppingPatience

@JvmName(name = "ipdxtgfvlisndmnm")

suspend fun earlyStoppingPatience(value: Output<Int>)

@JvmName(name = "ipknwmjwjtiwhtfo")

suspend fun earlyStoppingPatience(value: Int?)

enableOnnxNormalization

@JvmName(name = "sueuvnfyychlgkwd")

suspend fun enableOnnxNormalization(value: Output<Boolean>)

@JvmName(name = "iavhveknngudclha")

suspend fun enableOnnxNormalization(value: Boolean?)

evaluationFrequency

@JvmName(name = "bmirjwieesgtykfw")

suspend fun evaluationFrequency(value: Output<Int>)

@JvmName(name = "uagphtxqeisugbxq")

suspend fun evaluationFrequency(value: Int?)

gradientAccumulationStep

@JvmName(name = "rxtcmocyoyhmkpuw")

suspend fun gradientAccumulationStep(value: Output<Int>)

@JvmName(name = "lcftwtsgaidkjjgf")

suspend fun gradientAccumulationStep(value: Int?)

imageSize

@JvmName(name = "afuvpqbwtuxsbjhs")

suspend fun imageSize(value: Output<Int>)

@JvmName(name = "ymymvhdxqbikjlpp")

suspend fun imageSize(value: Int?)

layersToFreeze

@JvmName(name = "vgmydrqbvftrgghq")

suspend fun layersToFreeze(value: Output<Int>)

@JvmName(name = "hfhjpvxiqpxldwsq")

suspend fun layersToFreeze(value: Int?)

learningRate

@JvmName(name = "anxpqlitxuhfmxfy")

suspend fun learningRate(value: Output<Double>)

@JvmName(name = "nrvyjbyhucionolp")

suspend fun learningRate(value: Double?)

learningRateScheduler

@JvmName(name = "ytkkqhsqcubvpdyy")

fun learningRateScheduler(value: LearningRateScheduler)

@JvmName(name = "ovxoahpsatgygdel")

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

@JvmName(name = "jkxahakhmpydonuj")

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

@JvmName(name = "pcdsljgwprjgakfe")

fun learningRateScheduler(value: String)

maxSize

@JvmName(name = "tnpjcmuamkguglex")

suspend fun maxSize(value: Output<Int>)

@JvmName(name = "plfgxljgyayofvmu")

suspend fun maxSize(value: Int?)

minSize

@JvmName(name = "arvvkqkvgqwvwchn")

suspend fun minSize(value: Output<Int>)

@JvmName(name = "cxahustufsevltht")

suspend fun minSize(value: Int?)

modelName

@JvmName(name = "jekrupyperoebdkd")

suspend fun modelName(value: Output<String>)

@JvmName(name = "qpswkkmjhcpprijp")

suspend fun modelName(value: String?)

modelSize

@JvmName(name = "qecmvtocqeokvain")

fun modelSize(value: ModelSize)

@JvmName(name = "mueepkfmvgtkaddr")

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

@JvmName(name = "exvgrfqoiaicslyd")

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

@JvmName(name = "fapsbkpuspmxcqwk")

fun modelSize(value: String)

momentum

@JvmName(name = "irakbsjepgsokanf")

suspend fun momentum(value: Output<Double>)

@JvmName(name = "mcocyxpmnahlqtvu")

suspend fun momentum(value: Double?)

multiScale

@JvmName(name = "qvyxufjtujwjcvhk")

suspend fun multiScale(value: Output<Boolean>)

@JvmName(name = "sruimyytitqwbnbc")

suspend fun multiScale(value: Boolean?)

nesterov

@JvmName(name = "jmpnxgbjjwlbhlid")

suspend fun nesterov(value: Output<Boolean>)

@JvmName(name = "cnjiwvbiseritelc")

suspend fun nesterov(value: Boolean?)

nmsIouThreshold

@JvmName(name = "xyhutwmhiffbfdix")

suspend fun nmsIouThreshold(value: Output<Double>)

@JvmName(name = "uunogucmernmfpxf")

suspend fun nmsIouThreshold(value: Double?)

numberOfEpochs

@JvmName(name = "cpnokenjnyhirdrx")

suspend fun numberOfEpochs(value: Output<Int>)

@JvmName(name = "xtgmemapqwxhauxd")

suspend fun numberOfEpochs(value: Int?)

numberOfWorkers

@JvmName(name = "aevfqhistvfhetuc")

suspend fun numberOfWorkers(value: Output<Int>)

@JvmName(name = "kuwkgkvndljjasqy")

suspend fun numberOfWorkers(value: Int?)

optimizer

@JvmName(name = "chsvoiwhregqbbun")

fun optimizer(value: StochasticOptimizer)

@JvmName(name = "xwexnnhegxxrwytw")

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

@JvmName(name = "edwoqjcolqwoujhn")

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

@JvmName(name = "tylfouqflirqgnak")

fun optimizer(value: String)

randomSeed

@JvmName(name = "kfnvfjjenobvimgg")

suspend fun randomSeed(value: Output<Int>)

@JvmName(name = "apqhpvwqvovuyssl")

suspend fun randomSeed(value: Int?)

stepLRGamma

@JvmName(name = "hdsimlykdmycbook")

suspend fun stepLRGamma(value: Output<Double>)

@JvmName(name = "xgwwdvxexlewijfo")

suspend fun stepLRGamma(value: Double?)

stepLRStepSize

@JvmName(name = "sgrfgxpwjnyyqhqj")

suspend fun stepLRStepSize(value: Output<Int>)

@JvmName(name = "piqaxgajmiaxldny")

suspend fun stepLRStepSize(value: Int?)

tileGridSize

@JvmName(name = "fjxkiaquetsnkkyf")

suspend fun tileGridSize(value: Output<String>)

@JvmName(name = "cutqjghbxpcsrbvu")

suspend fun tileGridSize(value: String?)

tileOverlapRatio

@JvmName(name = "vuryghyisfaxglvr")

suspend fun tileOverlapRatio(value: Output<Double>)

@JvmName(name = "hlmlkiqfxvltbvyt")

suspend fun tileOverlapRatio(value: Double?)

tilePredictionsNmsThreshold

@JvmName(name = "wlftebmhnygrsyej")

suspend fun tilePredictionsNmsThreshold(value: Output<Double>)

@JvmName(name = "unplrxhgqekdmfky")

suspend fun tilePredictionsNmsThreshold(value: Double?)

trainingBatchSize

@JvmName(name = "xxmgpmgncdeudelm")

suspend fun trainingBatchSize(value: Output<Int>)

@JvmName(name = "gtsdytyvoxwdiwhd")

suspend fun trainingBatchSize(value: Int?)

validationBatchSize

@JvmName(name = "htsnhkabvnjfqgeo")

suspend fun validationBatchSize(value: Output<Int>)

@JvmName(name = "yskpjxmreoyytqiq")

suspend fun validationBatchSize(value: Int?)

validationIouThreshold

@JvmName(name = "nlkgswipvwnsbbvp")

suspend fun validationIouThreshold(value: Output<Double>)

@JvmName(name = "shqbjqvyahphknnw")

suspend fun validationIouThreshold(value: Double?)

validationMetricType

@JvmName(name = "jkshmukqyfiuikfd")

fun validationMetricType(value: ValidationMetricType)

@JvmName(name = "lfxkunysifghaewf")

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

@JvmName(name = "gvwfjikjnyrkovok")

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

@JvmName(name = "kteminkhwfqwpdsp")

fun validationMetricType(value: String)

warmupCosineLRCycles

@JvmName(name = "eaeogsljrspcfxpa")

suspend fun warmupCosineLRCycles(value: Output<Double>)

@JvmName(name = "llaqqfsidfxsimyq")

suspend fun warmupCosineLRCycles(value: Double?)

warmupCosineLRWarmupEpochs

@JvmName(name = "yodwgcfywilvbxiw")

suspend fun warmupCosineLRWarmupEpochs(value: Output<Int>)

@JvmName(name = "nkmcgrlrlpbmwnas")

suspend fun warmupCosineLRWarmupEpochs(value: Int?)

weightDecay

@JvmName(name = "lxxxewluulumliqa")

suspend fun weightDecay(value: Output<Double>)

@JvmName(name = "acxqcpbymjrlifiy")

suspend fun weightDecay(value: Double?)