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

ImageModelSettingsObjectDetectionArgsBuilder

class ImageModelSettingsObjectDetectionArgsBuilder

Builder for ImageModelSettingsObjectDetectionArgs.

Functions

advancedSettings

@JvmName(name = "isxrnomwdlphuufa")

suspend fun advancedSettings(value: Output<String>)

@JvmName(name = "pkcsnbxoktobvceh")

suspend fun advancedSettings(value: String?)

amsGradient

@JvmName(name = "vyrjngtdshwsxiha")

suspend fun amsGradient(value: Output<Boolean>)

@JvmName(name = "qeupahakovqifsaj")

suspend fun amsGradient(value: Boolean?)

augmentations

@JvmName(name = "kanjuxdfsclkdbrc")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "msybflkhetjwilsm")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "fxowqeslyaolgldu")

suspend fun beta1(value: Output<Double>)

@JvmName(name = "blhevrypthrnfjsr")

suspend fun beta1(value: Double?)

beta2

@JvmName(name = "fibdtsohrqmgsyuq")

suspend fun beta2(value: Output<Double>)

@JvmName(name = "oopnubpqmmqaattm")

suspend fun beta2(value: Double?)

boxDetectionsPerImage

@JvmName(name = "jfxabbdbofifitts")

suspend fun boxDetectionsPerImage(value: Output<Int>)

@JvmName(name = "katcoeblnrcrphes")

suspend fun boxDetectionsPerImage(value: Int?)

boxScoreThreshold

@JvmName(name = "oihdpnstrsxwkskx")

suspend fun boxScoreThreshold(value: Output<Double>)

@JvmName(name = "xifubsrqixbglndy")

suspend fun boxScoreThreshold(value: Double?)

checkpointFrequency

@JvmName(name = "eyikbpdrcvfulimb")

suspend fun checkpointFrequency(value: Output<Int>)

@JvmName(name = "sbceuaihnhjqtxeh")

suspend fun checkpointFrequency(value: Int?)

checkpointModel

@JvmName(name = "tqghgqybwynlnfgf")

suspend fun checkpointModel(value: MLFlowModelJobInputArgs?)

@JvmName(name = "kiwtfpbsrklbqvfc")

suspend fun checkpointModel(value: Output<MLFlowModelJobInputArgs>)

@JvmName(name = "cmtswkruywhdpebj")

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

checkpointRunId

@JvmName(name = "wcxybabbciwrhaij")

suspend fun checkpointRunId(value: Output<String>)

@JvmName(name = "jobeqcergcuambiy")

suspend fun checkpointRunId(value: String?)

distributed

@JvmName(name = "nwneaffnsefmhfmo")

suspend fun distributed(value: Output<Boolean>)

@JvmName(name = "jagxjlvdndskgoro")

suspend fun distributed(value: Boolean?)

earlyStopping

@JvmName(name = "akqbnxiucflgvnxt")

suspend fun earlyStopping(value: Output<Boolean>)

@JvmName(name = "ykuvjvkbrgnvgfql")

suspend fun earlyStopping(value: Boolean?)

earlyStoppingDelay

@JvmName(name = "gjhjwqfjifkadgaw")

suspend fun earlyStoppingDelay(value: Output<Int>)

@JvmName(name = "rkahnndqubqxubok")

suspend fun earlyStoppingDelay(value: Int?)

earlyStoppingPatience

@JvmName(name = "rtkcmgfcbijopgrq")

suspend fun earlyStoppingPatience(value: Output<Int>)

@JvmName(name = "qscgpneetotywyko")

suspend fun earlyStoppingPatience(value: Int?)

enableOnnxNormalization

@JvmName(name = "ddxcjlkwqouitsin")

suspend fun enableOnnxNormalization(value: Output<Boolean>)

@JvmName(name = "ccbdlnapgelvuxmu")

suspend fun enableOnnxNormalization(value: Boolean?)

evaluationFrequency

@JvmName(name = "ttseehwusojocukg")

suspend fun evaluationFrequency(value: Output<Int>)

@JvmName(name = "grhdbcmgpuyiigfc")

suspend fun evaluationFrequency(value: Int?)

gradientAccumulationStep

@JvmName(name = "hmcgrtlamqqmucoc")

suspend fun gradientAccumulationStep(value: Output<Int>)

@JvmName(name = "oioghmbekklniell")

suspend fun gradientAccumulationStep(value: Int?)

imageSize

@JvmName(name = "ncxejsppxfqqyijh")

suspend fun imageSize(value: Output<Int>)

@JvmName(name = "rrutrnqnnpivhqcn")

suspend fun imageSize(value: Int?)

layersToFreeze

@JvmName(name = "tyuhfyjjkoukcddk")

suspend fun layersToFreeze(value: Output<Int>)

@JvmName(name = "qtahaxyvoqbkbhly")

suspend fun layersToFreeze(value: Int?)

learningRate

@JvmName(name = "ckrqeirpxkmedhdb")

suspend fun learningRate(value: Output<Double>)

@JvmName(name = "iumemqdkcicwqjtx")

suspend fun learningRate(value: Double?)

learningRateScheduler

@JvmName(name = "mniaiefgndrwiiei")

fun learningRateScheduler(value: LearningRateScheduler)

@JvmName(name = "vdeajkgavhylmbuw")

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

@JvmName(name = "qtwpvswbredghcpl")

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

@JvmName(name = "fsmidcrtwothvwkg")

fun learningRateScheduler(value: String)

maxSize

@JvmName(name = "lgdenhebcteybbyy")

suspend fun maxSize(value: Output<Int>)

@JvmName(name = "goxrbrnwmehbfegg")

suspend fun maxSize(value: Int?)

minSize

@JvmName(name = "wccglllegintnxmc")

suspend fun minSize(value: Output<Int>)

@JvmName(name = "dlhjquxfwxxkniti")

suspend fun minSize(value: Int?)

modelName

@JvmName(name = "gdpubngsdwmxojew")

suspend fun modelName(value: Output<String>)

@JvmName(name = "asorrumnxscskvky")

suspend fun modelName(value: String?)

modelSize

@JvmName(name = "wcgcxtwbxkaeevqd")

fun modelSize(value: ModelSize)

@JvmName(name = "furcyfdwxqwtwxqf")

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

@JvmName(name = "rjxbjtkaylbfmpim")

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

@JvmName(name = "ijspqofyfjlhkwkc")

fun modelSize(value: String)

momentum

@JvmName(name = "uwhgsfeadfmpetsw")

suspend fun momentum(value: Output<Double>)

@JvmName(name = "vkqkxkrpaxaklekk")

suspend fun momentum(value: Double?)

multiScale

@JvmName(name = "jnwggelkbqvxnamk")

suspend fun multiScale(value: Output<Boolean>)

@JvmName(name = "cshxihiyouowlrsh")

suspend fun multiScale(value: Boolean?)

nesterov

@JvmName(name = "slqawicrkhsitdny")

suspend fun nesterov(value: Output<Boolean>)

@JvmName(name = "amwffkdktnlbguml")

suspend fun nesterov(value: Boolean?)

nmsIouThreshold

@JvmName(name = "hfjlurjjeutlmyxn")

suspend fun nmsIouThreshold(value: Output<Double>)

@JvmName(name = "xoqoducebairjgkw")

suspend fun nmsIouThreshold(value: Double?)

numberOfEpochs

@JvmName(name = "legxboubigegjcor")

suspend fun numberOfEpochs(value: Output<Int>)

@JvmName(name = "wcxivgoctqujfmme")

suspend fun numberOfEpochs(value: Int?)

numberOfWorkers

@JvmName(name = "wpxbymafpmhbolbb")

suspend fun numberOfWorkers(value: Output<Int>)

@JvmName(name = "guwcmydpyfbtuhll")

suspend fun numberOfWorkers(value: Int?)

optimizer

@JvmName(name = "ohbvnfmiyrhiipcf")

fun optimizer(value: StochasticOptimizer)

@JvmName(name = "feohrofrlhtdlypw")

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

@JvmName(name = "rayfqidbmuvavchy")

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

@JvmName(name = "orhhclgrvbkdlksw")

fun optimizer(value: String)

randomSeed

@JvmName(name = "hrsdxxbrwxvgogps")

suspend fun randomSeed(value: Output<Int>)

@JvmName(name = "chjsbjdbwocxpbxc")

suspend fun randomSeed(value: Int?)

stepLRGamma

@JvmName(name = "lvtkrkarolqryqwr")

suspend fun stepLRGamma(value: Output<Double>)

@JvmName(name = "ihyvvrppuxkqwqac")

suspend fun stepLRGamma(value: Double?)

stepLRStepSize

@JvmName(name = "lthypwmciwfasisi")

suspend fun stepLRStepSize(value: Output<Int>)

@JvmName(name = "ohpyocixatashjlw")

suspend fun stepLRStepSize(value: Int?)

tileGridSize

@JvmName(name = "ugttllkxcnrwfxti")

suspend fun tileGridSize(value: Output<String>)

@JvmName(name = "uwphwtlspsprmcfc")

suspend fun tileGridSize(value: String?)

tileOverlapRatio

@JvmName(name = "icxvehcrtvdvicmd")

suspend fun tileOverlapRatio(value: Output<Double>)

@JvmName(name = "julxqxarlhqayflh")

suspend fun tileOverlapRatio(value: Double?)

tilePredictionsNmsThreshold

@JvmName(name = "jkltnxfynbfmmnde")

suspend fun tilePredictionsNmsThreshold(value: Output<Double>)

@JvmName(name = "evjkikrbsptpvpme")

suspend fun tilePredictionsNmsThreshold(value: Double?)

trainingBatchSize

@JvmName(name = "boldtkgpbbpqbhhu")

suspend fun trainingBatchSize(value: Output<Int>)

@JvmName(name = "gpgtenqhbieeukcp")

suspend fun trainingBatchSize(value: Int?)

validationBatchSize

@JvmName(name = "ialvulmudkxowhqa")

suspend fun validationBatchSize(value: Output<Int>)

@JvmName(name = "qtugfubmdfgxpwdd")

suspend fun validationBatchSize(value: Int?)

validationIouThreshold

@JvmName(name = "jlepignjbugxtmdq")

suspend fun validationIouThreshold(value: Output<Double>)

@JvmName(name = "yapdtvgwsephhsur")

suspend fun validationIouThreshold(value: Double?)

validationMetricType

@JvmName(name = "cyjaishfmvhdjeqi")

fun validationMetricType(value: ValidationMetricType)

@JvmName(name = "ffumsgcmxwohidyi")

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

@JvmName(name = "yrofxyryendymrdf")

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

@JvmName(name = "cpsfemstqmysqbyy")

fun validationMetricType(value: String)

warmupCosineLRCycles

@JvmName(name = "scwdujhgcvtkoqdw")

suspend fun warmupCosineLRCycles(value: Output<Double>)

@JvmName(name = "uqjkpxldokbgamvi")

suspend fun warmupCosineLRCycles(value: Double?)

warmupCosineLRWarmupEpochs

@JvmName(name = "scsfilgnnhlgfmoq")

suspend fun warmupCosineLRWarmupEpochs(value: Output<Int>)

@JvmName(name = "lctxwkckchkrwpoi")

suspend fun warmupCosineLRWarmupEpochs(value: Int?)

weightDecay

@JvmName(name = "ydhshnqksmsopbbl")

suspend fun weightDecay(value: Output<Double>)

@JvmName(name = "cbtqlhdnyvanfile")

suspend fun weightDecay(value: Double?)