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

ImageModelDistributionSettingsObjectDetectionArgsBuilder

class ImageModelDistributionSettingsObjectDetectionArgsBuilder

Builder for ImageModelDistributionSettingsObjectDetectionArgs.

Functions

amsGradient

@JvmName(name = "gvitgnojebspcemf")

suspend fun amsGradient(value: Output<String>)

@JvmName(name = "duuxnqxanrtyqbns")

suspend fun amsGradient(value: String?)

augmentations

@JvmName(name = "nmctxvqyymmqtvii")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "icoculmwwobwbbac")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "rujblvqwumqqmmbq")

suspend fun beta1(value: Output<String>)

@JvmName(name = "oxbmxpbjjbktards")

suspend fun beta1(value: String?)

beta2

@JvmName(name = "kfbkbvkyhtevxvam")

suspend fun beta2(value: Output<String>)

@JvmName(name = "iahtuyjrhhrowjyw")

suspend fun beta2(value: String?)

boxDetectionsPerImage

@JvmName(name = "fmvqsjuhxaokghht")

suspend fun boxDetectionsPerImage(value: Output<String>)

@JvmName(name = "pwgmdeauotjbxong")

suspend fun boxDetectionsPerImage(value: String?)

boxScoreThreshold

@JvmName(name = "fdoqenrjtumersvg")

suspend fun boxScoreThreshold(value: Output<String>)

@JvmName(name = "lpqpsgcojowvxllk")

suspend fun boxScoreThreshold(value: String?)

distributed

@JvmName(name = "bxvyrlfpgfiuiosv")

suspend fun distributed(value: Output<String>)

@JvmName(name = "ktqnbukiifwrhadl")

suspend fun distributed(value: String?)

earlyStopping

@JvmName(name = "fwxvspopefpfdtud")

suspend fun earlyStopping(value: Output<String>)

@JvmName(name = "flalfvxfwxpnwwtn")

suspend fun earlyStopping(value: String?)

earlyStoppingDelay

@JvmName(name = "gyukswarnynborwj")

suspend fun earlyStoppingDelay(value: Output<String>)

@JvmName(name = "oiwvnjqajkpdmjxt")

suspend fun earlyStoppingDelay(value: String?)

earlyStoppingPatience

@JvmName(name = "kbnksqajxstvidfd")

suspend fun earlyStoppingPatience(value: Output<String>)

@JvmName(name = "vqjlifsxfadmodle")

suspend fun earlyStoppingPatience(value: String?)

enableOnnxNormalization

@JvmName(name = "daonduvalytagltr")

suspend fun enableOnnxNormalization(value: Output<String>)

@JvmName(name = "tovjihnvmbdxvcok")

suspend fun enableOnnxNormalization(value: String?)

evaluationFrequency

@JvmName(name = "lxrhslfbhbuefbdh")

suspend fun evaluationFrequency(value: Output<String>)

@JvmName(name = "ujgknfqyehiwmdeh")

suspend fun evaluationFrequency(value: String?)

gradientAccumulationStep

@JvmName(name = "oabpblrvuglpfasd")

suspend fun gradientAccumulationStep(value: Output<String>)

@JvmName(name = "vvonsvbscefhxfkl")

suspend fun gradientAccumulationStep(value: String?)

imageSize

@JvmName(name = "oyepbicrevuqaghy")

suspend fun imageSize(value: Output<String>)

@JvmName(name = "dlxthfyyvvnnjhgx")

suspend fun imageSize(value: String?)

layersToFreeze

@JvmName(name = "qxpvnsocctkyiduv")

suspend fun layersToFreeze(value: Output<String>)

@JvmName(name = "yfavkgmnoxhbenlg")

suspend fun layersToFreeze(value: String?)

learningRate

@JvmName(name = "mhkgowqodjutvdfy")

suspend fun learningRate(value: Output<String>)

@JvmName(name = "nxtjdowerukjfufw")

suspend fun learningRate(value: String?)

learningRateScheduler

@JvmName(name = "ftswwhhqsjtwvhcp")

suspend fun learningRateScheduler(value: Output<String>)

@JvmName(name = "frcjqvhfdosybvcx")

suspend fun learningRateScheduler(value: String?)

maxSize

@JvmName(name = "wbpuchwfppsgnugr")

suspend fun maxSize(value: Output<String>)

@JvmName(name = "depmpoxiklbtbklx")

suspend fun maxSize(value: String?)

minSize

@JvmName(name = "gapilerlghepvboc")

suspend fun minSize(value: Output<String>)

@JvmName(name = "adccfiadtgxiymcy")

suspend fun minSize(value: String?)

modelName

@JvmName(name = "rqegiensaajirscn")

suspend fun modelName(value: Output<String>)

@JvmName(name = "cqlnkrhsipwoqyll")

suspend fun modelName(value: String?)

modelSize

@JvmName(name = "vseagmnoyvivnuxq")

suspend fun modelSize(value: Output<String>)

@JvmName(name = "faxcqdkyiuwapklc")

suspend fun modelSize(value: String?)

momentum

@JvmName(name = "odonldwafxfykwbn")

suspend fun momentum(value: Output<String>)

@JvmName(name = "vucwiqvkcmgnvcmq")

suspend fun momentum(value: String?)

multiScale

@JvmName(name = "lxmcsyooijsoyhsn")

suspend fun multiScale(value: Output<String>)

@JvmName(name = "gncvwhdebeylbndg")

suspend fun multiScale(value: String?)

nesterov

@JvmName(name = "pyvebydktgjbxfrn")

suspend fun nesterov(value: Output<String>)

@JvmName(name = "enyjpvjwoncjxqxt")

suspend fun nesterov(value: String?)

nmsIouThreshold

@JvmName(name = "wnmpmbcnvweqwfky")

suspend fun nmsIouThreshold(value: Output<String>)

@JvmName(name = "xbprrhacimhgworu")

suspend fun nmsIouThreshold(value: String?)

numberOfEpochs

@JvmName(name = "nlixodoheaudbekv")

suspend fun numberOfEpochs(value: Output<String>)

@JvmName(name = "rdypucrqibwohvrk")

suspend fun numberOfEpochs(value: String?)

numberOfWorkers

@JvmName(name = "jkfqyfknelipowoj")

suspend fun numberOfWorkers(value: Output<String>)

@JvmName(name = "ncfeufprgbqmcgly")

suspend fun numberOfWorkers(value: String?)

optimizer

@JvmName(name = "bfebnbjlgoqntktt")

suspend fun optimizer(value: Output<String>)

@JvmName(name = "ndwjfocjrwxcgmyt")

suspend fun optimizer(value: String?)

randomSeed

@JvmName(name = "hycdjqhkugukxjrn")

suspend fun randomSeed(value: Output<String>)

@JvmName(name = "rxaafcjooqkgaiol")

suspend fun randomSeed(value: String?)

stepLRGamma

@JvmName(name = "ftkuxxidfiprpdoy")

suspend fun stepLRGamma(value: Output<String>)

@JvmName(name = "ymoofdvyaminjaks")

suspend fun stepLRGamma(value: String?)

stepLRStepSize

@JvmName(name = "lwgxirxbblvbjeha")

suspend fun stepLRStepSize(value: Output<String>)

@JvmName(name = "xjilhswnxqbesnyy")

suspend fun stepLRStepSize(value: String?)

tileGridSize

@JvmName(name = "jvmaspidgchbxjsl")

suspend fun tileGridSize(value: Output<String>)

@JvmName(name = "smnwsmioiilcwxbf")

suspend fun tileGridSize(value: String?)

tileOverlapRatio

@JvmName(name = "ktyowhbuabnbufyn")

suspend fun tileOverlapRatio(value: Output<String>)

@JvmName(name = "juygklfjdnmlfuum")

suspend fun tileOverlapRatio(value: String?)

tilePredictionsNmsThreshold

@JvmName(name = "vryioemxocjbqxpp")

suspend fun tilePredictionsNmsThreshold(value: Output<String>)

@JvmName(name = "awhctlnamiqxdjlf")

suspend fun tilePredictionsNmsThreshold(value: String?)

trainingBatchSize

@JvmName(name = "ysuayfuqimcwaudp")

suspend fun trainingBatchSize(value: Output<String>)

@JvmName(name = "eerenpdiagiwodvg")

suspend fun trainingBatchSize(value: String?)

validationBatchSize

@JvmName(name = "hqgqdrrhtghfyran")

suspend fun validationBatchSize(value: Output<String>)

@JvmName(name = "ladkjeecgwtrgamy")

suspend fun validationBatchSize(value: String?)

validationIouThreshold

@JvmName(name = "amdmoytfacwvfkud")

suspend fun validationIouThreshold(value: Output<String>)

@JvmName(name = "jkwfcrrkxplsnmxg")

suspend fun validationIouThreshold(value: String?)

validationMetricType

@JvmName(name = "nrlrjbnvyrsgmhkw")

suspend fun validationMetricType(value: Output<String>)

@JvmName(name = "hdhgnmqmpwgolgye")

suspend fun validationMetricType(value: String?)

warmupCosineLRCycles

@JvmName(name = "almcxfdemvtdbisj")

suspend fun warmupCosineLRCycles(value: Output<String>)

@JvmName(name = "mwwmgcqcipjolpln")

suspend fun warmupCosineLRCycles(value: String?)

warmupCosineLRWarmupEpochs

@JvmName(name = "xhfliwdvnlcmrtbv")

suspend fun warmupCosineLRWarmupEpochs(value: Output<String>)

@JvmName(name = "gkuoubidxjgqirig")

suspend fun warmupCosineLRWarmupEpochs(value: String?)

weightDecay

@JvmName(name = "aboqrlkadvknptla")

suspend fun weightDecay(value: Output<String>)

@JvmName(name = "nkfqkkmhpjgkpgdj")

suspend fun weightDecay(value: String?)