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

ImageModelSettingsObjectDetectionArgsBuilder

class ImageModelSettingsObjectDetectionArgsBuilder

Builder for ImageModelSettingsObjectDetectionArgs.

Functions

advancedSettings

@JvmName(name = "ikeampklaleebrhm")

suspend fun advancedSettings(value: Output<String>)

@JvmName(name = "seulnvcoxjqrsfka")

suspend fun advancedSettings(value: String?)

amsGradient

@JvmName(name = "nhxnfrwmuhidokgg")

suspend fun amsGradient(value: Output<Boolean>)

@JvmName(name = "pbgcfdeeifvqatwx")

suspend fun amsGradient(value: Boolean?)

augmentations

@JvmName(name = "vwvanmhsnpkhuukm")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "hnkhifpxylibkkry")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "qcyrkjvealdpkena")

suspend fun beta1(value: Output<Double>)

@JvmName(name = "rvssjcngxjpnnvog")

suspend fun beta1(value: Double?)

beta2

@JvmName(name = "epfqsloyuregbfro")

suspend fun beta2(value: Output<Double>)

@JvmName(name = "pvofaqcfallmwewf")

suspend fun beta2(value: Double?)

boxDetectionsPerImage

@JvmName(name = "rjbcbyaqmegubxil")

suspend fun boxDetectionsPerImage(value: Output<Int>)

@JvmName(name = "amcacglhyogrtwim")

suspend fun boxDetectionsPerImage(value: Int?)

boxScoreThreshold

@JvmName(name = "tsxcdmkuuqupmpaj")

suspend fun boxScoreThreshold(value: Output<Double>)

@JvmName(name = "vwlbrsdmilpxmyth")

suspend fun boxScoreThreshold(value: Double?)

checkpointFrequency

@JvmName(name = "qgugnilscumpomsf")

suspend fun checkpointFrequency(value: Output<Int>)

@JvmName(name = "wgixxjcxndxvqhck")

suspend fun checkpointFrequency(value: Int?)

checkpointModel

@JvmName(name = "rvvblwdlotreysrv")

suspend fun checkpointModel(value: MLFlowModelJobInputArgs?)

@JvmName(name = "idyymtbdrmqfxouj")

suspend fun checkpointModel(value: Output<MLFlowModelJobInputArgs>)

@JvmName(name = "tybqnubupeowfuyd")

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

checkpointRunId

@JvmName(name = "upwoyswbnxdkgoro")

suspend fun checkpointRunId(value: Output<String>)

@JvmName(name = "budbowepibidrodm")

suspend fun checkpointRunId(value: String?)

distributed

@JvmName(name = "vewesoyvvwhsekey")

suspend fun distributed(value: Output<Boolean>)

@JvmName(name = "vopoxlbtogkuguxr")

suspend fun distributed(value: Boolean?)

earlyStopping

@JvmName(name = "uawhbwbwuoxnomgy")

suspend fun earlyStopping(value: Output<Boolean>)

@JvmName(name = "fmiyboxpcxeaateo")

suspend fun earlyStopping(value: Boolean?)

earlyStoppingDelay

@JvmName(name = "qfmptjgdsmfeymbe")

suspend fun earlyStoppingDelay(value: Output<Int>)

@JvmName(name = "ybapicqigrfosgtk")

suspend fun earlyStoppingDelay(value: Int?)

earlyStoppingPatience

@JvmName(name = "qrrpqucidveguqrv")

suspend fun earlyStoppingPatience(value: Output<Int>)

@JvmName(name = "cuyvcprufniabdmm")

suspend fun earlyStoppingPatience(value: Int?)

enableOnnxNormalization

@JvmName(name = "lstmllqhhoxudphf")

suspend fun enableOnnxNormalization(value: Output<Boolean>)

@JvmName(name = "ngmyjqsemtdsgjnm")

suspend fun enableOnnxNormalization(value: Boolean?)

evaluationFrequency

@JvmName(name = "kjigqnyxmiysldfa")

suspend fun evaluationFrequency(value: Output<Int>)

@JvmName(name = "awiqlwahbdkfxdoj")

suspend fun evaluationFrequency(value: Int?)

gradientAccumulationStep

@JvmName(name = "moetvyolniepacef")

suspend fun gradientAccumulationStep(value: Output<Int>)

@JvmName(name = "fymjcsykhiesalin")

suspend fun gradientAccumulationStep(value: Int?)

imageSize

@JvmName(name = "tgbgpxdemnxkepqc")

suspend fun imageSize(value: Output<Int>)

@JvmName(name = "bgmipvsauidjfhjy")

suspend fun imageSize(value: Int?)

layersToFreeze

@JvmName(name = "wqwaspodkxqmueui")

suspend fun layersToFreeze(value: Output<Int>)

@JvmName(name = "yosdvolinlhsdylh")

suspend fun layersToFreeze(value: Int?)

learningRate

@JvmName(name = "slughwigxocortqf")

suspend fun learningRate(value: Output<Double>)

@JvmName(name = "sxaefdceityvsilo")

suspend fun learningRate(value: Double?)

learningRateScheduler

@JvmName(name = "awydlsucwftxscqd")

fun learningRateScheduler(value: LearningRateScheduler)

@JvmName(name = "meafkurxmyadrsun")

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

@JvmName(name = "tftdboqtiyfwmboi")

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

@JvmName(name = "irxwlgiokgnrswhg")

fun learningRateScheduler(value: String)

maxSize

@JvmName(name = "qhrhujkxfbgurpnh")

suspend fun maxSize(value: Output<Int>)

@JvmName(name = "xfgafgpbkwgcxjcw")

suspend fun maxSize(value: Int?)

minSize

@JvmName(name = "wcbaiomhecmpngyu")

suspend fun minSize(value: Output<Int>)

@JvmName(name = "kyusgnqsrlxdugbu")

suspend fun minSize(value: Int?)

modelName

@JvmName(name = "qxkwwmqoexpapmmy")

suspend fun modelName(value: Output<String>)

@JvmName(name = "vklmhllywkfkydiq")

suspend fun modelName(value: String?)

modelSize

@JvmName(name = "pxectpcjsnlsvurf")

fun modelSize(value: ModelSize)

@JvmName(name = "mmimryppyiarykjb")

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

@JvmName(name = "dhkmrvxlklhprbal")

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

@JvmName(name = "msihsobojcglgvjg")

fun modelSize(value: String)

momentum

@JvmName(name = "hlpyakakgaghdeqx")

suspend fun momentum(value: Output<Double>)

@JvmName(name = "tddfegupyexckhca")

suspend fun momentum(value: Double?)

multiScale

@JvmName(name = "ysmvtjrbrgaswuaw")

suspend fun multiScale(value: Output<Boolean>)

@JvmName(name = "euiantwqdthoowoa")

suspend fun multiScale(value: Boolean?)

nesterov

@JvmName(name = "adeotpxhdxmfjwiy")

suspend fun nesterov(value: Output<Boolean>)

@JvmName(name = "mvmqowscfsgmxioa")

suspend fun nesterov(value: Boolean?)

nmsIouThreshold

@JvmName(name = "lxitdayyqhntxehp")

suspend fun nmsIouThreshold(value: Output<Double>)

@JvmName(name = "wtiomgkuowmrlhix")

suspend fun nmsIouThreshold(value: Double?)

numberOfEpochs

@JvmName(name = "ocbpojqsxiahvxps")

suspend fun numberOfEpochs(value: Output<Int>)

@JvmName(name = "bpoigvmywccttadg")

suspend fun numberOfEpochs(value: Int?)

numberOfWorkers

@JvmName(name = "hvoxbgojiwslyvyx")

suspend fun numberOfWorkers(value: Output<Int>)

@JvmName(name = "dwptycpypvrlomhn")

suspend fun numberOfWorkers(value: Int?)

optimizer

@JvmName(name = "lnjcsamhlbgptsll")

fun optimizer(value: StochasticOptimizer)

@JvmName(name = "xyiqillknuhuyted")

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

@JvmName(name = "mqohsirnapimbfhf")

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

@JvmName(name = "brpiqyausjtxdswf")

fun optimizer(value: String)

randomSeed

@JvmName(name = "qtypfrilqvnkheur")

suspend fun randomSeed(value: Output<Int>)

@JvmName(name = "vnscdtljhvvyefby")

suspend fun randomSeed(value: Int?)

stepLRGamma

@JvmName(name = "gylbpchkximcstrd")

suspend fun stepLRGamma(value: Output<Double>)

@JvmName(name = "hiqbtwiqstjlvrad")

suspend fun stepLRGamma(value: Double?)

stepLRStepSize

@JvmName(name = "ibstcfxofigfmtkd")

suspend fun stepLRStepSize(value: Output<Int>)

@JvmName(name = "xcnfgwbactyahkbt")

suspend fun stepLRStepSize(value: Int?)

tileGridSize

@JvmName(name = "pgfdrptvisjbldhu")

suspend fun tileGridSize(value: Output<String>)

@JvmName(name = "wydkarqyrjrgxqwu")

suspend fun tileGridSize(value: String?)

tileOverlapRatio

@JvmName(name = "mfscsyngstavmafu")

suspend fun tileOverlapRatio(value: Output<Double>)

@JvmName(name = "ijmmkrfetmhtyiec")

suspend fun tileOverlapRatio(value: Double?)

tilePredictionsNmsThreshold

@JvmName(name = "davdppqxggpsegyk")

suspend fun tilePredictionsNmsThreshold(value: Output<Double>)

@JvmName(name = "psnfcsuoygoswtii")

suspend fun tilePredictionsNmsThreshold(value: Double?)

trainingBatchSize

@JvmName(name = "vsgciowaksktabey")

suspend fun trainingBatchSize(value: Output<Int>)

@JvmName(name = "kctwlwangyfsittg")

suspend fun trainingBatchSize(value: Int?)

validationBatchSize

@JvmName(name = "uaualtdanbnptgqr")

suspend fun validationBatchSize(value: Output<Int>)

@JvmName(name = "mixkkllntohvcwsw")

suspend fun validationBatchSize(value: Int?)

validationIouThreshold

@JvmName(name = "vewkyrddsyypkibl")

suspend fun validationIouThreshold(value: Output<Double>)

@JvmName(name = "vamulldcormfdfvk")

suspend fun validationIouThreshold(value: Double?)

validationMetricType

@JvmName(name = "pamvjvhyfhfkkqmw")

fun validationMetricType(value: ValidationMetricType)

@JvmName(name = "omkybplkgyayvynq")

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

@JvmName(name = "ryycaxubeedwnfar")

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

@JvmName(name = "jevvvoixpgghouib")

fun validationMetricType(value: String)

warmupCosineLRCycles

@JvmName(name = "lcxtvcahfbixfrxf")

suspend fun warmupCosineLRCycles(value: Output<Double>)

@JvmName(name = "iljrbmqqrwegoalr")

suspend fun warmupCosineLRCycles(value: Double?)

warmupCosineLRWarmupEpochs

@JvmName(name = "kbphlwqineijewqx")

suspend fun warmupCosineLRWarmupEpochs(value: Output<Int>)

@JvmName(name = "pgbnkmlaxdcyeugs")

suspend fun warmupCosineLRWarmupEpochs(value: Int?)

weightDecay

@JvmName(name = "akrrogphqsrpvgmv")

suspend fun weightDecay(value: Output<Double>)

@JvmName(name = "ocwvlvwfoiayinrs")

suspend fun weightDecay(value: Double?)