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

ImageModelSettingsObjectDetectionArgsBuilder

class ImageModelSettingsObjectDetectionArgsBuilder

Builder for ImageModelSettingsObjectDetectionArgs.

Functions

advancedSettings

@JvmName(name = "clncogpfjidxmpef")

suspend fun advancedSettings(value: Output<String>)

@JvmName(name = "yseaurpcugirmlxv")

suspend fun advancedSettings(value: String?)

amsGradient

@JvmName(name = "hlragrcwrygyjxng")

suspend fun amsGradient(value: Output<Boolean>)

@JvmName(name = "pidnnskxwkqeragf")

suspend fun amsGradient(value: Boolean?)

augmentations

@JvmName(name = "hyyrqgtjdijwyttk")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "ulmauctwdhcdqtca")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "fbupcjlpdemnhuca")

suspend fun beta1(value: Output<Double>)

@JvmName(name = "kbosoavtlpimjwro")

suspend fun beta1(value: Double?)

beta2

@JvmName(name = "peefhrqwpcvpphuh")

suspend fun beta2(value: Output<Double>)

@JvmName(name = "kbmxeiikisonvxnr")

suspend fun beta2(value: Double?)

boxDetectionsPerImage

@JvmName(name = "ulmlbngslefkmdvc")

suspend fun boxDetectionsPerImage(value: Output<Int>)

@JvmName(name = "mhgxlgjutmrmbhjx")

suspend fun boxDetectionsPerImage(value: Int?)

boxScoreThreshold

@JvmName(name = "ethlamwjdaydtamx")

suspend fun boxScoreThreshold(value: Output<Double>)

@JvmName(name = "mjnnusxtvwwnamsd")

suspend fun boxScoreThreshold(value: Double?)

checkpointFrequency

@JvmName(name = "pbetyufvglhauvuy")

suspend fun checkpointFrequency(value: Output<Int>)

@JvmName(name = "rvdoedrxwulxwoca")

suspend fun checkpointFrequency(value: Int?)

checkpointModel

@JvmName(name = "uvlgnfbiwewxdpsq")

suspend fun checkpointModel(value: MLFlowModelJobInputArgs?)

@JvmName(name = "semjwlxqisiuhogg")

suspend fun checkpointModel(value: Output<MLFlowModelJobInputArgs>)

@JvmName(name = "jdeccvlfbbtjnqlu")

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

checkpointRunId

@JvmName(name = "cxsxiqgrhduobwpm")

suspend fun checkpointRunId(value: Output<String>)

@JvmName(name = "ncpybjrsgfxoylkp")

suspend fun checkpointRunId(value: String?)

distributed

@JvmName(name = "cwqylfminbkcwyro")

suspend fun distributed(value: Output<Boolean>)

@JvmName(name = "qdqvslrcieeiaunc")

suspend fun distributed(value: Boolean?)

earlyStopping

@JvmName(name = "dffvjomwtrhpikjs")

suspend fun earlyStopping(value: Output<Boolean>)

@JvmName(name = "ucoiwnihlmajjnyr")

suspend fun earlyStopping(value: Boolean?)

earlyStoppingDelay

@JvmName(name = "wwmyfjfahtnxmoix")

suspend fun earlyStoppingDelay(value: Output<Int>)

@JvmName(name = "jnyjbnlsrsgbwekr")

suspend fun earlyStoppingDelay(value: Int?)

earlyStoppingPatience

@JvmName(name = "ydxjyhaxisgnnbke")

suspend fun earlyStoppingPatience(value: Output<Int>)

@JvmName(name = "egsyvjotqhepyafn")

suspend fun earlyStoppingPatience(value: Int?)

enableOnnxNormalization

@JvmName(name = "gubsbtcrdtfpwxqr")

suspend fun enableOnnxNormalization(value: Output<Boolean>)

@JvmName(name = "afbbxpkuhbwwnnhq")

suspend fun enableOnnxNormalization(value: Boolean?)

evaluationFrequency

@JvmName(name = "touvldkwxfwefqmx")

suspend fun evaluationFrequency(value: Output<Int>)

@JvmName(name = "ximxhlooeqsteecj")

suspend fun evaluationFrequency(value: Int?)

gradientAccumulationStep

@JvmName(name = "hnmgwovmxwyrhixs")

suspend fun gradientAccumulationStep(value: Output<Int>)

@JvmName(name = "cvithmvvcvvpmpyv")

suspend fun gradientAccumulationStep(value: Int?)

imageSize

@JvmName(name = "hwsjbkbrnsekvxgs")

suspend fun imageSize(value: Output<Int>)

@JvmName(name = "arbyxyqatdifdflr")

suspend fun imageSize(value: Int?)

layersToFreeze

@JvmName(name = "pbluhjcawiyvppmr")

suspend fun layersToFreeze(value: Output<Int>)

@JvmName(name = "ioqdxdlnkknajyfa")

suspend fun layersToFreeze(value: Int?)

learningRate

@JvmName(name = "rjrodwkabnqspuhx")

suspend fun learningRate(value: Output<Double>)

@JvmName(name = "ublmpgwqtxrjfaau")

suspend fun learningRate(value: Double?)

learningRateScheduler

@JvmName(name = "xoiekvfumfpasgyh")

fun learningRateScheduler(value: LearningRateScheduler)

@JvmName(name = "uywjlpmyqhoyjrbu")

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

@JvmName(name = "rrkjahvggmgswbvk")

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

@JvmName(name = "kbdosethrrsqnnrn")

fun learningRateScheduler(value: String)

maxSize

@JvmName(name = "xrygbuuphspcphqt")

suspend fun maxSize(value: Output<Int>)

@JvmName(name = "efhtfboulokoptqu")

suspend fun maxSize(value: Int?)

minSize

@JvmName(name = "hcdsmyiaanmbhkva")

suspend fun minSize(value: Output<Int>)

@JvmName(name = "mmedwkgbithdivql")

suspend fun minSize(value: Int?)

modelName

@JvmName(name = "fhnqhmwjofeixyco")

suspend fun modelName(value: Output<String>)

@JvmName(name = "yptunuqyescybbbr")

suspend fun modelName(value: String?)

modelSize

@JvmName(name = "bnjwidbohwlmpkhc")

fun modelSize(value: ModelSize)

@JvmName(name = "ykgviodkotofblku")

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

@JvmName(name = "dtmyegkiaoyjpvnk")

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

@JvmName(name = "fyherahiknwsodqi")

fun modelSize(value: String)

momentum

@JvmName(name = "pyatbtynwplnlmfl")

suspend fun momentum(value: Output<Double>)

@JvmName(name = "urjfobtldpciuglu")

suspend fun momentum(value: Double?)

multiScale

@JvmName(name = "ffkarcfgrpfxvptn")

suspend fun multiScale(value: Output<Boolean>)

@JvmName(name = "vfijfkxrgbbvsfkq")

suspend fun multiScale(value: Boolean?)

nesterov

@JvmName(name = "ukjokfnfjjylooeh")

suspend fun nesterov(value: Output<Boolean>)

@JvmName(name = "nyjplxnmvstfkabp")

suspend fun nesterov(value: Boolean?)

nmsIouThreshold

@JvmName(name = "fxkoowhefahioduj")

suspend fun nmsIouThreshold(value: Output<Double>)

@JvmName(name = "vriunxgfwwtrilwf")

suspend fun nmsIouThreshold(value: Double?)

numberOfEpochs

@JvmName(name = "imshxkuwoixmejao")

suspend fun numberOfEpochs(value: Output<Int>)

@JvmName(name = "atpsscsyvuwalgai")

suspend fun numberOfEpochs(value: Int?)

numberOfWorkers

@JvmName(name = "lnvlumneifiirjnv")

suspend fun numberOfWorkers(value: Output<Int>)

@JvmName(name = "hpnpuqeungbtjpcc")

suspend fun numberOfWorkers(value: Int?)

optimizer

@JvmName(name = "oboovbnpbupaxprm")

fun optimizer(value: StochasticOptimizer)

@JvmName(name = "qgjudtexsglinyno")

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

@JvmName(name = "koqulajawskgoksn")

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

@JvmName(name = "pwenoknuembrwomj")

fun optimizer(value: String)

randomSeed

@JvmName(name = "rqqiyprfnehbpimn")

suspend fun randomSeed(value: Output<Int>)

@JvmName(name = "hcwvfdbpspsupvrt")

suspend fun randomSeed(value: Int?)

stepLRGamma

@JvmName(name = "akfxmsavpbioblgm")

suspend fun stepLRGamma(value: Output<Double>)

@JvmName(name = "gouilfvheonhskog")

suspend fun stepLRGamma(value: Double?)

stepLRStepSize

@JvmName(name = "crkcukrddemigvil")

suspend fun stepLRStepSize(value: Output<Int>)

@JvmName(name = "cqecsvfwqhnafgjy")

suspend fun stepLRStepSize(value: Int?)

tileGridSize

@JvmName(name = "jkqtwfgksajpyxfl")

suspend fun tileGridSize(value: Output<String>)

@JvmName(name = "hmtrxsfhhlipevme")

suspend fun tileGridSize(value: String?)

tileOverlapRatio

@JvmName(name = "irruuxopthobeqcj")

suspend fun tileOverlapRatio(value: Output<Double>)

@JvmName(name = "pwautcrbibbyqacc")

suspend fun tileOverlapRatio(value: Double?)

tilePredictionsNmsThreshold

@JvmName(name = "glrkgveujviioxai")

suspend fun tilePredictionsNmsThreshold(value: Output<Double>)

@JvmName(name = "thighkrhuqqidgld")

suspend fun tilePredictionsNmsThreshold(value: Double?)

trainingBatchSize

@JvmName(name = "sdmdtshmfmffslkn")

suspend fun trainingBatchSize(value: Output<Int>)

@JvmName(name = "kwlkkqahfduwiuip")

suspend fun trainingBatchSize(value: Int?)

validationBatchSize

@JvmName(name = "vrvrbahaeqlqniwq")

suspend fun validationBatchSize(value: Output<Int>)

@JvmName(name = "maxyvqeubxbijiwj")

suspend fun validationBatchSize(value: Int?)

validationIouThreshold

@JvmName(name = "ntlilglnhvwwqowq")

suspend fun validationIouThreshold(value: Output<Double>)

@JvmName(name = "dmyvfapjkjawauci")

suspend fun validationIouThreshold(value: Double?)

validationMetricType

@JvmName(name = "agllwuidujbvhane")

fun validationMetricType(value: ValidationMetricType)

@JvmName(name = "sqgmwhcsyabmrxrh")

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

@JvmName(name = "jjwtdgjyeevcuiph")

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

@JvmName(name = "htqqceydqmmffwem")

fun validationMetricType(value: String)

warmupCosineLRCycles

@JvmName(name = "seukkaglqxeuadxq")

suspend fun warmupCosineLRCycles(value: Output<Double>)

@JvmName(name = "cqjvwtxpemiexahs")

suspend fun warmupCosineLRCycles(value: Double?)

warmupCosineLRWarmupEpochs

@JvmName(name = "nmdlxhifefppdwaq")

suspend fun warmupCosineLRWarmupEpochs(value: Output<Int>)

@JvmName(name = "qigmbkflmylmatwv")

suspend fun warmupCosineLRWarmupEpochs(value: Int?)

weightDecay

@JvmName(name = "kualaucwsvsaxskf")

suspend fun weightDecay(value: Output<Double>)

@JvmName(name = "gbewnqqbqxlfsogn")

suspend fun weightDecay(value: Double?)