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

ImageModelSettingsObjectDetectionArgsBuilder

class ImageModelSettingsObjectDetectionArgsBuilder

Builder for ImageModelSettingsObjectDetectionArgs.

Functions

advancedSettings

@JvmName(name = "bttduhuicqeeaeep")

suspend fun advancedSettings(value: Output<String>)

@JvmName(name = "qlpiulbvtvfepspm")

suspend fun advancedSettings(value: String?)

amsGradient

@JvmName(name = "vesyilnqlcsgjyto")

suspend fun amsGradient(value: Output<Boolean>)

@JvmName(name = "wwycpluhykwlglug")

suspend fun amsGradient(value: Boolean?)

augmentations

@JvmName(name = "bnwqcdwwnawjbpjf")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "cipolwcokkvsnksg")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "pyullwcyetdubodl")

suspend fun beta1(value: Output<Double>)

@JvmName(name = "jkrihultqxtaixsg")

suspend fun beta1(value: Double?)

beta2

@JvmName(name = "tistxdpqnruxmexd")

suspend fun beta2(value: Output<Double>)

@JvmName(name = "lykccpcutkwlcckv")

suspend fun beta2(value: Double?)

boxDetectionsPerImage

@JvmName(name = "mdodwkqpwjuukmpc")

suspend fun boxDetectionsPerImage(value: Output<Int>)

@JvmName(name = "ognpuddxrdytfwru")

suspend fun boxDetectionsPerImage(value: Int?)

boxScoreThreshold

@JvmName(name = "uitjhiddpxncnxka")

suspend fun boxScoreThreshold(value: Output<Double>)

@JvmName(name = "ajpxtdtjflncyrql")

suspend fun boxScoreThreshold(value: Double?)

checkpointFrequency

@JvmName(name = "hnaygeeaoagysfwa")

suspend fun checkpointFrequency(value: Output<Int>)

@JvmName(name = "fpivwjwkbjwwjlor")

suspend fun checkpointFrequency(value: Int?)

checkpointModel

@JvmName(name = "rwkxqacdrchgnwwt")

suspend fun checkpointModel(value: MLFlowModelJobInputArgs?)

@JvmName(name = "gmjfqvrtppgwilpy")

suspend fun checkpointModel(value: Output<MLFlowModelJobInputArgs>)

@JvmName(name = "bfheimdsargtilaq")

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

checkpointRunId

@JvmName(name = "smvfqtcgixoyenpb")

suspend fun checkpointRunId(value: Output<String>)

@JvmName(name = "kosnfvdtukiqeqwb")

suspend fun checkpointRunId(value: String?)

distributed

@JvmName(name = "drpweayuekhuciiv")

suspend fun distributed(value: Output<Boolean>)

@JvmName(name = "tpymeyevwgiwvdim")

suspend fun distributed(value: Boolean?)

earlyStopping

@JvmName(name = "ybogecbsylctyibw")

suspend fun earlyStopping(value: Output<Boolean>)

@JvmName(name = "bycnndhdjkijcxgk")

suspend fun earlyStopping(value: Boolean?)

earlyStoppingDelay

@JvmName(name = "enkliafledxfjxnk")

suspend fun earlyStoppingDelay(value: Output<Int>)

@JvmName(name = "nwiduglgufjscecb")

suspend fun earlyStoppingDelay(value: Int?)

earlyStoppingPatience

@JvmName(name = "pnhraxpdnledfbvr")

suspend fun earlyStoppingPatience(value: Output<Int>)

@JvmName(name = "tbcaljvlgbbhabkd")

suspend fun earlyStoppingPatience(value: Int?)

enableOnnxNormalization

@JvmName(name = "hysvibfdnfixllgv")

suspend fun enableOnnxNormalization(value: Output<Boolean>)

@JvmName(name = "iwbhbhawwpxkeipg")

suspend fun enableOnnxNormalization(value: Boolean?)

evaluationFrequency

@JvmName(name = "pwlrerhprbsswoip")

suspend fun evaluationFrequency(value: Output<Int>)

@JvmName(name = "methmdmoqddmphfj")

suspend fun evaluationFrequency(value: Int?)

gradientAccumulationStep

@JvmName(name = "dqstdxgsniimdbdu")

suspend fun gradientAccumulationStep(value: Output<Int>)

@JvmName(name = "nkutcagtlaajbtyt")

suspend fun gradientAccumulationStep(value: Int?)

imageSize

@JvmName(name = "prokqokaunvcbavi")

suspend fun imageSize(value: Output<Int>)

@JvmName(name = "oxovcqcxnqgmgycb")

suspend fun imageSize(value: Int?)

layersToFreeze

@JvmName(name = "timlbocrqfmaoiyl")

suspend fun layersToFreeze(value: Output<Int>)

@JvmName(name = "ggoyexdenljtjmdp")

suspend fun layersToFreeze(value: Int?)

learningRate

@JvmName(name = "opecdwtmejueihny")

suspend fun learningRate(value: Output<Double>)

@JvmName(name = "leetuatniychltsl")

suspend fun learningRate(value: Double?)

learningRateScheduler

@JvmName(name = "pmuwmgpktqbkatio")

fun learningRateScheduler(value: LearningRateScheduler)

@JvmName(name = "vmcaqblignntebfa")

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

@JvmName(name = "oyicbocvwumbadqv")

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

@JvmName(name = "anhlyoyhoyatyjes")

fun learningRateScheduler(value: String)

maxSize

@JvmName(name = "pruvwofepgmfjeyv")

suspend fun maxSize(value: Output<Int>)

@JvmName(name = "nfvgqcpxeiuogtbd")

suspend fun maxSize(value: Int?)

minSize

@JvmName(name = "uurbdhmtwvqxewom")

suspend fun minSize(value: Output<Int>)

@JvmName(name = "ljkgxtvipylqixsm")

suspend fun minSize(value: Int?)

modelName

@JvmName(name = "hnofnyavxtgbtsqh")

suspend fun modelName(value: Output<String>)

@JvmName(name = "svmvdbrjursvbypf")

suspend fun modelName(value: String?)

modelSize

@JvmName(name = "wivdudboklagdftu")

fun modelSize(value: ModelSize)

@JvmName(name = "iirnvstbuajowcui")

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

@JvmName(name = "surajlclutkpbxxs")

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

@JvmName(name = "ljggxmjsakavkqyx")

fun modelSize(value: String)

momentum

@JvmName(name = "stvaawudenmpgyxo")

suspend fun momentum(value: Output<Double>)

@JvmName(name = "vtfhhwbyjyhfttar")

suspend fun momentum(value: Double?)

multiScale

@JvmName(name = "ivqmmsrtwwvvkvlw")

suspend fun multiScale(value: Output<Boolean>)

@JvmName(name = "hkrxrmmwiuftesbo")

suspend fun multiScale(value: Boolean?)

nesterov

@JvmName(name = "tutxnwlimxxbiuwt")

suspend fun nesterov(value: Output<Boolean>)

@JvmName(name = "felkkpbjhbobuqqq")

suspend fun nesterov(value: Boolean?)

nmsIouThreshold

@JvmName(name = "kmtgxlhuxythylhh")

suspend fun nmsIouThreshold(value: Output<Double>)

@JvmName(name = "ocshpvaveowyleqw")

suspend fun nmsIouThreshold(value: Double?)

numberOfEpochs

@JvmName(name = "isycgvfitjwkpmrx")

suspend fun numberOfEpochs(value: Output<Int>)

@JvmName(name = "wlumsjdgtsywofkb")

suspend fun numberOfEpochs(value: Int?)

numberOfWorkers

@JvmName(name = "vauuyuyitglkvjrg")

suspend fun numberOfWorkers(value: Output<Int>)

@JvmName(name = "iypyklwbnawmtapf")

suspend fun numberOfWorkers(value: Int?)

optimizer

@JvmName(name = "sgnthnqacmfmbatj")

fun optimizer(value: StochasticOptimizer)

@JvmName(name = "yghojqaucddvxcfk")

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

@JvmName(name = "raiimurjlmxqrfqg")

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

@JvmName(name = "ljklsnrtoeregxke")

fun optimizer(value: String)

randomSeed

@JvmName(name = "drvhvlmxsbofwabh")

suspend fun randomSeed(value: Output<Int>)

@JvmName(name = "lonfqpfbvsuabtbu")

suspend fun randomSeed(value: Int?)

stepLRGamma

@JvmName(name = "nchgavpwdsvxdsdp")

suspend fun stepLRGamma(value: Output<Double>)

@JvmName(name = "fnonhhjshcxkrmrn")

suspend fun stepLRGamma(value: Double?)

stepLRStepSize

@JvmName(name = "vfguhtrlxktmqhwx")

suspend fun stepLRStepSize(value: Output<Int>)

@JvmName(name = "rmoqbxovyueclvkg")

suspend fun stepLRStepSize(value: Int?)

tileGridSize

@JvmName(name = "cmwvqjnbhdbrprhp")

suspend fun tileGridSize(value: Output<String>)

@JvmName(name = "csvsdsvhbffavdam")

suspend fun tileGridSize(value: String?)

tileOverlapRatio

@JvmName(name = "hkloulwodanrwtkd")

suspend fun tileOverlapRatio(value: Output<Double>)

@JvmName(name = "oiwwstofvcqrbdnh")

suspend fun tileOverlapRatio(value: Double?)

tilePredictionsNmsThreshold

@JvmName(name = "nqsbxpejdxfxdqlf")

suspend fun tilePredictionsNmsThreshold(value: Output<Double>)

@JvmName(name = "ylnygmdanouaiwfq")

suspend fun tilePredictionsNmsThreshold(value: Double?)

trainingBatchSize

@JvmName(name = "hpfpktmoqclwwggn")

suspend fun trainingBatchSize(value: Output<Int>)

@JvmName(name = "gwpvsyqpmyxbdcgo")

suspend fun trainingBatchSize(value: Int?)

validationBatchSize

@JvmName(name = "skeibnsxcmyivnup")

suspend fun validationBatchSize(value: Output<Int>)

@JvmName(name = "tsamfqvqnprcwoyk")

suspend fun validationBatchSize(value: Int?)

validationIouThreshold

@JvmName(name = "bvbbaheoxsgjlhxo")

suspend fun validationIouThreshold(value: Output<Double>)

@JvmName(name = "wsvtgjjikryuftuq")

suspend fun validationIouThreshold(value: Double?)

validationMetricType

@JvmName(name = "ufiqshjqtfuqqtti")

fun validationMetricType(value: ValidationMetricType)

@JvmName(name = "jojgsurokqesoclp")

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

@JvmName(name = "afsbhbchybujybph")

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

@JvmName(name = "coumrqdgoauhqamu")

fun validationMetricType(value: String)

warmupCosineLRCycles

@JvmName(name = "tvutfidaawkgbqml")

suspend fun warmupCosineLRCycles(value: Output<Double>)

@JvmName(name = "lbsoqehusiuauriy")

suspend fun warmupCosineLRCycles(value: Double?)

warmupCosineLRWarmupEpochs

@JvmName(name = "ksqgarnssjewwwln")

suspend fun warmupCosineLRWarmupEpochs(value: Output<Int>)

@JvmName(name = "sgnpjcioamisryma")

suspend fun warmupCosineLRWarmupEpochs(value: Int?)

weightDecay

@JvmName(name = "udqunmranarxqpco")

suspend fun weightDecay(value: Output<Double>)

@JvmName(name = "pmqxhgqmhoovclyl")

suspend fun weightDecay(value: Double?)