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

ImageModelSettingsObjectDetectionArgsBuilder

class ImageModelSettingsObjectDetectionArgsBuilder

Builder for ImageModelSettingsObjectDetectionArgs.

Functions

advancedSettings

@JvmName(name = "uxvrabvoujqjgwmg")

suspend fun advancedSettings(value: Output<String>)

@JvmName(name = "woacejkbyntpaupu")

suspend fun advancedSettings(value: String?)

amsGradient

@JvmName(name = "lkemiqyewwnrppuf")

suspend fun amsGradient(value: Output<Boolean>)

@JvmName(name = "ktgrfhpphxtrreqa")

suspend fun amsGradient(value: Boolean?)

augmentations

@JvmName(name = "enxfyiqibxrsiyqg")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "qtybypabmxslqxwi")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "lkrubcuxikgivvxj")

suspend fun beta1(value: Output<Double>)

@JvmName(name = "iducuktwwekskdle")

suspend fun beta1(value: Double?)

beta2

@JvmName(name = "sxceeadwhfdbqlnx")

suspend fun beta2(value: Output<Double>)

@JvmName(name = "iuimwtadbiaibvew")

suspend fun beta2(value: Double?)

boxDetectionsPerImage

@JvmName(name = "yarjyoxewisoyxuw")

suspend fun boxDetectionsPerImage(value: Output<Int>)

@JvmName(name = "dxhoyckswgtpscgt")

suspend fun boxDetectionsPerImage(value: Int?)

boxScoreThreshold

@JvmName(name = "dshofxnmghoslbmk")

suspend fun boxScoreThreshold(value: Output<Double>)

@JvmName(name = "ibjeyldpcnvutsus")

suspend fun boxScoreThreshold(value: Double?)

checkpointFrequency

@JvmName(name = "obfxcjgodhxydbdl")

suspend fun checkpointFrequency(value: Output<Int>)

@JvmName(name = "dnrovouvnsostlau")

suspend fun checkpointFrequency(value: Int?)

checkpointModel

@JvmName(name = "kinacysckktmkqqw")

suspend fun checkpointModel(value: MLFlowModelJobInputArgs?)

@JvmName(name = "xhbytloxygvxshrt")

suspend fun checkpointModel(value: Output<MLFlowModelJobInputArgs>)

@JvmName(name = "dabqneqacrxhrqha")

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

checkpointRunId

@JvmName(name = "jywsucyhyldbnyef")

suspend fun checkpointRunId(value: Output<String>)

@JvmName(name = "qekuotaqywvgomjg")

suspend fun checkpointRunId(value: String?)

distributed

@JvmName(name = "cacoywldvclycowl")

suspend fun distributed(value: Output<Boolean>)

@JvmName(name = "mbavnpflxvtqcttm")

suspend fun distributed(value: Boolean?)

earlyStopping

@JvmName(name = "kvugwbxanafdcegx")

suspend fun earlyStopping(value: Output<Boolean>)

@JvmName(name = "iqlksddltvasfmeo")

suspend fun earlyStopping(value: Boolean?)

earlyStoppingDelay

@JvmName(name = "lkkoythlqlumnucy")

suspend fun earlyStoppingDelay(value: Output<Int>)

@JvmName(name = "mnfstugocqmlbycy")

suspend fun earlyStoppingDelay(value: Int?)

earlyStoppingPatience

@JvmName(name = "oupeqtqdhmlbqsnn")

suspend fun earlyStoppingPatience(value: Output<Int>)

@JvmName(name = "jjrcefevdegfhecl")

suspend fun earlyStoppingPatience(value: Int?)

enableOnnxNormalization

@JvmName(name = "jedkxrpxomphgbrq")

suspend fun enableOnnxNormalization(value: Output<Boolean>)

@JvmName(name = "ndbtoxiqhdckxenw")

suspend fun enableOnnxNormalization(value: Boolean?)

evaluationFrequency

@JvmName(name = "inotaptxudgmhmfh")

suspend fun evaluationFrequency(value: Output<Int>)

@JvmName(name = "dpubenefhflcbeae")

suspend fun evaluationFrequency(value: Int?)

gradientAccumulationStep

@JvmName(name = "iwvwwrypxivtflsi")

suspend fun gradientAccumulationStep(value: Output<Int>)

@JvmName(name = "kiidtpiqpjyuufdi")

suspend fun gradientAccumulationStep(value: Int?)

imageSize

@JvmName(name = "ncxxtwvhdsjovsvc")

suspend fun imageSize(value: Output<Int>)

@JvmName(name = "umyukftvadqxnlva")

suspend fun imageSize(value: Int?)

layersToFreeze

@JvmName(name = "mnrvyqhbmwvdhynp")

suspend fun layersToFreeze(value: Output<Int>)

@JvmName(name = "iaxrtvignmmgsqsf")

suspend fun layersToFreeze(value: Int?)

learningRate

@JvmName(name = "eexjmkaerfptyrku")

suspend fun learningRate(value: Output<Double>)

@JvmName(name = "diciaupbxrrbfddu")

suspend fun learningRate(value: Double?)

learningRateScheduler

@JvmName(name = "cjeqqgniodsfkgpo")

fun learningRateScheduler(value: LearningRateScheduler)

@JvmName(name = "qbybcqqqthandkke")

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

@JvmName(name = "qityytpgundcmhpa")

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

@JvmName(name = "mhlwvgelhtdugfar")

fun learningRateScheduler(value: String)

maxSize

@JvmName(name = "xdimdhahxgbicrcs")

suspend fun maxSize(value: Output<Int>)

@JvmName(name = "gnrhhurnfcvdsjhp")

suspend fun maxSize(value: Int?)

minSize

@JvmName(name = "qcqiyhcieimdyocd")

suspend fun minSize(value: Output<Int>)

@JvmName(name = "jvfkthwtrnrqakdw")

suspend fun minSize(value: Int?)

modelName

@JvmName(name = "jijycpwhtdhxhoju")

suspend fun modelName(value: Output<String>)

@JvmName(name = "hnaplitqsitcgsjw")

suspend fun modelName(value: String?)

modelSize

@JvmName(name = "mltaqcgqoradtlew")

fun modelSize(value: ModelSize)

@JvmName(name = "gpqvshopxipcmfvl")

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

@JvmName(name = "ypbjevbvntlepwny")

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

@JvmName(name = "idiwlqrrkcfxmpeq")

fun modelSize(value: String)

momentum

@JvmName(name = "unnkeygwnfmvfehs")

suspend fun momentum(value: Output<Double>)

@JvmName(name = "kulkjpncvkcnvveu")

suspend fun momentum(value: Double?)

multiScale

@JvmName(name = "iehrehdjpvpjnydp")

suspend fun multiScale(value: Output<Boolean>)

@JvmName(name = "wlbwlstthpcvnhkj")

suspend fun multiScale(value: Boolean?)

nesterov

@JvmName(name = "uigvabirspyspfvg")

suspend fun nesterov(value: Output<Boolean>)

@JvmName(name = "ptcoykvqghtwhviq")

suspend fun nesterov(value: Boolean?)

nmsIouThreshold

@JvmName(name = "miidggvhebxuwqqx")

suspend fun nmsIouThreshold(value: Output<Double>)

@JvmName(name = "xujtewdmlsqehaeb")

suspend fun nmsIouThreshold(value: Double?)

numberOfEpochs

@JvmName(name = "aggxfbcsysgghpis")

suspend fun numberOfEpochs(value: Output<Int>)

@JvmName(name = "rylubhcouuxougvj")

suspend fun numberOfEpochs(value: Int?)

numberOfWorkers

@JvmName(name = "rwhlulxipdurkqpq")

suspend fun numberOfWorkers(value: Output<Int>)

@JvmName(name = "posbuohmxgqmuqes")

suspend fun numberOfWorkers(value: Int?)

optimizer

@JvmName(name = "waijfgrmsoqlwfbs")

fun optimizer(value: StochasticOptimizer)

@JvmName(name = "orfexsnsgxdsvefj")

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

@JvmName(name = "ipmvyotgtvocxbfe")

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

@JvmName(name = "krgxhvxiglurnmko")

fun optimizer(value: String)

randomSeed

@JvmName(name = "dajxsqotjtprouhh")

suspend fun randomSeed(value: Output<Int>)

@JvmName(name = "odyvinoehragnfci")

suspend fun randomSeed(value: Int?)

stepLRGamma

@JvmName(name = "tsdpvlwlcrngeine")

suspend fun stepLRGamma(value: Output<Double>)

@JvmName(name = "esairjvqqtextwma")

suspend fun stepLRGamma(value: Double?)

stepLRStepSize

@JvmName(name = "ekafmggdonkisjtk")

suspend fun stepLRStepSize(value: Output<Int>)

@JvmName(name = "rugfngxvikhtxido")

suspend fun stepLRStepSize(value: Int?)

tileGridSize

@JvmName(name = "fbylkhlnmmxsmhqp")

suspend fun tileGridSize(value: Output<String>)

@JvmName(name = "cvueujoifrwbkdde")

suspend fun tileGridSize(value: String?)

tileOverlapRatio

@JvmName(name = "reffikquvwnkuwoj")

suspend fun tileOverlapRatio(value: Output<Double>)

@JvmName(name = "otgmdcaqjftghcni")

suspend fun tileOverlapRatio(value: Double?)

tilePredictionsNmsThreshold

@JvmName(name = "ivotohbsijampbjp")

suspend fun tilePredictionsNmsThreshold(value: Output<Double>)

@JvmName(name = "whgxomcucrswqoqg")

suspend fun tilePredictionsNmsThreshold(value: Double?)

trainingBatchSize

@JvmName(name = "obedqifpkjmbehsl")

suspend fun trainingBatchSize(value: Output<Int>)

@JvmName(name = "ixyjmosbgnltbdxh")

suspend fun trainingBatchSize(value: Int?)

validationBatchSize

@JvmName(name = "xagtkgndompbfhxu")

suspend fun validationBatchSize(value: Output<Int>)

@JvmName(name = "eucnfesyhcsjsyjk")

suspend fun validationBatchSize(value: Int?)

validationIouThreshold

@JvmName(name = "mdfdoppswhfvtqdl")

suspend fun validationIouThreshold(value: Output<Double>)

@JvmName(name = "hwcrqnvxxggxhrpb")

suspend fun validationIouThreshold(value: Double?)

validationMetricType

@JvmName(name = "nctcrruengysbwxs")

fun validationMetricType(value: ValidationMetricType)

@JvmName(name = "saegwwpjtnbekjie")

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

@JvmName(name = "linbdkmfawvdnioc")

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

@JvmName(name = "cvkfbwmwmkwoywjw")

fun validationMetricType(value: String)

warmupCosineLRCycles

@JvmName(name = "hcgaqffgudkoritu")

suspend fun warmupCosineLRCycles(value: Output<Double>)

@JvmName(name = "lrrqlhkbokeisvht")

suspend fun warmupCosineLRCycles(value: Double?)

warmupCosineLRWarmupEpochs

@JvmName(name = "hrjqfreknaxgvapm")

suspend fun warmupCosineLRWarmupEpochs(value: Output<Int>)

@JvmName(name = "blnuwcruwmvifdqo")

suspend fun warmupCosineLRWarmupEpochs(value: Int?)

weightDecay

@JvmName(name = "hvkjtluaqgibubpw")

suspend fun weightDecay(value: Output<Double>)

@JvmName(name = "newuvbbawksddjet")

suspend fun weightDecay(value: Double?)