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

ImageModelSettingsObjectDetectionArgsBuilder

class ImageModelSettingsObjectDetectionArgsBuilder

Builder for ImageModelSettingsObjectDetectionArgs.

Functions

advancedSettings

@JvmName(name = "ubsxnxmqidimacra")

suspend fun advancedSettings(value: Output<String>)

@JvmName(name = "qbyhuhniwkugckic")

suspend fun advancedSettings(value: String?)

amsGradient

@JvmName(name = "rkkyylhhlagwbpqh")

suspend fun amsGradient(value: Output<Boolean>)

@JvmName(name = "kbcemvwyqjgtheeq")

suspend fun amsGradient(value: Boolean?)

augmentations

@JvmName(name = "ddtrpukgyhslesmq")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "erqwgsbgtmkcsxcv")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "jxtrcxilvgcxmylk")

suspend fun beta1(value: Output<Double>)

@JvmName(name = "wrytctxfeoecqwlx")

suspend fun beta1(value: Double?)

beta2

@JvmName(name = "koclroqnrvvcqnkt")

suspend fun beta2(value: Output<Double>)

@JvmName(name = "bttjswvhckgaxdrw")

suspend fun beta2(value: Double?)

boxDetectionsPerImage

@JvmName(name = "vdpaiqjaxrjnhopc")

suspend fun boxDetectionsPerImage(value: Output<Int>)

@JvmName(name = "nigsvtpdnfsoppdu")

suspend fun boxDetectionsPerImage(value: Int?)

boxScoreThreshold

@JvmName(name = "mgdobuxyovcgewql")

suspend fun boxScoreThreshold(value: Output<Double>)

@JvmName(name = "wfokeotbxttnlpua")

suspend fun boxScoreThreshold(value: Double?)

checkpointFrequency

@JvmName(name = "gwqhkpkconkhtwmc")

suspend fun checkpointFrequency(value: Output<Int>)

@JvmName(name = "icpewmedarpxwxva")

suspend fun checkpointFrequency(value: Int?)

checkpointModel

@JvmName(name = "bkohcsaandoiclfh")

suspend fun checkpointModel(value: MLFlowModelJobInputArgs?)

@JvmName(name = "ofemryvckbjnpbif")

suspend fun checkpointModel(value: Output<MLFlowModelJobInputArgs>)

@JvmName(name = "vucwrseaoxlpoofy")

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

checkpointRunId

@JvmName(name = "fcxbltkesfgvlebt")

suspend fun checkpointRunId(value: Output<String>)

@JvmName(name = "ratdfybwwfkduxlb")

suspend fun checkpointRunId(value: String?)

distributed

@JvmName(name = "sircpjvghsrytjld")

suspend fun distributed(value: Output<Boolean>)

@JvmName(name = "bwpqttltftlvusyl")

suspend fun distributed(value: Boolean?)

earlyStopping

@JvmName(name = "rcsbauqbgefftyno")

suspend fun earlyStopping(value: Output<Boolean>)

@JvmName(name = "rifpebtxwnmqdeoj")

suspend fun earlyStopping(value: Boolean?)

earlyStoppingDelay

@JvmName(name = "xvotrddjgysimnst")

suspend fun earlyStoppingDelay(value: Output<Int>)

@JvmName(name = "lovsbyqhurkntfqq")

suspend fun earlyStoppingDelay(value: Int?)

earlyStoppingPatience

@JvmName(name = "mrgnbusnegyxsyhc")

suspend fun earlyStoppingPatience(value: Output<Int>)

@JvmName(name = "ttlifbthvgapwrkf")

suspend fun earlyStoppingPatience(value: Int?)

enableOnnxNormalization

@JvmName(name = "ioanjxsqssyoammd")

suspend fun enableOnnxNormalization(value: Output<Boolean>)

@JvmName(name = "cgxhxqpwkfglnnge")

suspend fun enableOnnxNormalization(value: Boolean?)

evaluationFrequency

@JvmName(name = "vyibrrrnvebnanij")

suspend fun evaluationFrequency(value: Output<Int>)

@JvmName(name = "fhegfrbsmhordkxa")

suspend fun evaluationFrequency(value: Int?)

gradientAccumulationStep

@JvmName(name = "xnxouqomtjuixfml")

suspend fun gradientAccumulationStep(value: Output<Int>)

@JvmName(name = "etfhroasasllyesb")

suspend fun gradientAccumulationStep(value: Int?)

imageSize

@JvmName(name = "urhewqlkruofhtkd")

suspend fun imageSize(value: Output<Int>)

@JvmName(name = "tkhfiimqrdvpsdai")

suspend fun imageSize(value: Int?)

layersToFreeze

@JvmName(name = "bfukunewxnrvcomw")

suspend fun layersToFreeze(value: Output<Int>)

@JvmName(name = "ydxhgbheexggnyqj")

suspend fun layersToFreeze(value: Int?)

learningRate

@JvmName(name = "hyyfhmtxavawhcbm")

suspend fun learningRate(value: Output<Double>)

@JvmName(name = "hqidbgeijrggaawp")

suspend fun learningRate(value: Double?)

learningRateScheduler

@JvmName(name = "kvjtqupbydpvwjpo")

fun learningRateScheduler(value: LearningRateScheduler)

@JvmName(name = "jwyvwugpvqjldxie")

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

@JvmName(name = "lgmqtixosmcrmils")

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

@JvmName(name = "apnincvixsgnsejb")

fun learningRateScheduler(value: String)

maxSize

@JvmName(name = "ccprefwboekbdqer")

suspend fun maxSize(value: Output<Int>)

@JvmName(name = "kidvwwdrdrlauixj")

suspend fun maxSize(value: Int?)

minSize

@JvmName(name = "slskxghmabnwkage")

suspend fun minSize(value: Output<Int>)

@JvmName(name = "upbeeotlyifoemfu")

suspend fun minSize(value: Int?)

modelName

@JvmName(name = "svboxskptnjiyatc")

suspend fun modelName(value: Output<String>)

@JvmName(name = "mwysynvwerrjgifp")

suspend fun modelName(value: String?)

modelSize

@JvmName(name = "bcmfqxjvcswcfkvf")

fun modelSize(value: ModelSize)

@JvmName(name = "oiqhfpvmbowphptn")

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

@JvmName(name = "skyngjoqtiqlyifk")

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

@JvmName(name = "bupjarjlmddjyqmp")

fun modelSize(value: String)

momentum

@JvmName(name = "hmhdqfocxqlynkch")

suspend fun momentum(value: Output<Double>)

@JvmName(name = "qrjjdbqxbkuwwjye")

suspend fun momentum(value: Double?)

multiScale

@JvmName(name = "ieuwofrfuwsxifqh")

suspend fun multiScale(value: Output<Boolean>)

@JvmName(name = "djqidfxcxfejpwjw")

suspend fun multiScale(value: Boolean?)

nesterov

@JvmName(name = "klxrptqdglperage")

suspend fun nesterov(value: Output<Boolean>)

@JvmName(name = "fhlsectudvppyfsd")

suspend fun nesterov(value: Boolean?)

nmsIouThreshold

@JvmName(name = "qyxaoluagmawnfnx")

suspend fun nmsIouThreshold(value: Output<Double>)

@JvmName(name = "ofbwvaemfqhcdcvs")

suspend fun nmsIouThreshold(value: Double?)

numberOfEpochs

@JvmName(name = "kmewsgfbfpvfmqol")

suspend fun numberOfEpochs(value: Output<Int>)

@JvmName(name = "khoxvmdwhbocqlfn")

suspend fun numberOfEpochs(value: Int?)

numberOfWorkers

@JvmName(name = "tsuyrbwyhppwrcpp")

suspend fun numberOfWorkers(value: Output<Int>)

@JvmName(name = "wvvjvdcxeywneukq")

suspend fun numberOfWorkers(value: Int?)

optimizer

@JvmName(name = "cdxdygbvdncuqwao")

fun optimizer(value: StochasticOptimizer)

@JvmName(name = "xvcwfbfxfrrcimir")

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

@JvmName(name = "aeoxqvsvgiuodoij")

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

@JvmName(name = "wgsrcralouxscigq")

fun optimizer(value: String)

randomSeed

@JvmName(name = "wgllovgfnnpkvuud")

suspend fun randomSeed(value: Output<Int>)

@JvmName(name = "vrgpeanpdqkcftuk")

suspend fun randomSeed(value: Int?)

stepLRGamma

@JvmName(name = "hvlstubarxenloho")

suspend fun stepLRGamma(value: Output<Double>)

@JvmName(name = "fwoaknjynqbwpbsk")

suspend fun stepLRGamma(value: Double?)

stepLRStepSize

@JvmName(name = "bqytctqsqctmqvoq")

suspend fun stepLRStepSize(value: Output<Int>)

@JvmName(name = "buivevacohrxxxto")

suspend fun stepLRStepSize(value: Int?)

tileGridSize

@JvmName(name = "vcefysfwuqudjqgt")

suspend fun tileGridSize(value: Output<String>)

@JvmName(name = "ayhomwisurcerdbr")

suspend fun tileGridSize(value: String?)

tileOverlapRatio

@JvmName(name = "kpyhmagxkvsoiawy")

suspend fun tileOverlapRatio(value: Output<Double>)

@JvmName(name = "ayfgcohdhkiqylcr")

suspend fun tileOverlapRatio(value: Double?)

tilePredictionsNmsThreshold

@JvmName(name = "xqvwlnwbcqmgdxxr")

suspend fun tilePredictionsNmsThreshold(value: Output<Double>)

@JvmName(name = "phvnhrcsnqrpifhi")

suspend fun tilePredictionsNmsThreshold(value: Double?)

trainingBatchSize

@JvmName(name = "wvgumvepbgtsgnca")

suspend fun trainingBatchSize(value: Output<Int>)

@JvmName(name = "mmhstjqflglcneba")

suspend fun trainingBatchSize(value: Int?)

validationBatchSize

@JvmName(name = "pnsbboufiwasgyno")

suspend fun validationBatchSize(value: Output<Int>)

@JvmName(name = "edbximogfcgmmtuk")

suspend fun validationBatchSize(value: Int?)

validationIouThreshold

@JvmName(name = "btyfuywrxhtawvox")

suspend fun validationIouThreshold(value: Output<Double>)

@JvmName(name = "hcacabuorlnymgxk")

suspend fun validationIouThreshold(value: Double?)

validationMetricType

@JvmName(name = "jexgsnseoyansmvs")

fun validationMetricType(value: ValidationMetricType)

@JvmName(name = "khjmbduulntwnyub")

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

@JvmName(name = "pbdkuvekneombbee")

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

@JvmName(name = "hovsowebmixtubis")

fun validationMetricType(value: String)

warmupCosineLRCycles

@JvmName(name = "difdnuxoaggpghek")

suspend fun warmupCosineLRCycles(value: Output<Double>)

@JvmName(name = "ycwkqsvhentoybtg")

suspend fun warmupCosineLRCycles(value: Double?)

warmupCosineLRWarmupEpochs

@JvmName(name = "kpmbswoidlviwjuo")

suspend fun warmupCosineLRWarmupEpochs(value: Output<Int>)

@JvmName(name = "jfaixhhdvfplfnkv")

suspend fun warmupCosineLRWarmupEpochs(value: Int?)

weightDecay

@JvmName(name = "bpksgfmrocrdvxmi")

suspend fun weightDecay(value: Output<Double>)

@JvmName(name = "ufyquevypfbnskwk")

suspend fun weightDecay(value: Double?)