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

ImageModelSettingsClassificationArgsBuilder

class ImageModelSettingsClassificationArgsBuilder

Builder for ImageModelSettingsClassificationArgs.

Functions

advancedSettings

@JvmName(name = "jvaixoqtdojulree")

suspend fun advancedSettings(value: Output<String>)

@JvmName(name = "lmtgvoksmnqlblny")

suspend fun advancedSettings(value: String?)

amsGradient

@JvmName(name = "jeqitlxsxgnsbgbl")

suspend fun amsGradient(value: Output<Boolean>)

@JvmName(name = "sgelcmowhcwxiueh")

suspend fun amsGradient(value: Boolean?)

augmentations

@JvmName(name = "lgkmxhawgchhmwyr")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "iikqqjqgsxqiqmrf")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "qebgqkrooyfctfjr")

suspend fun beta1(value: Output<Double>)

@JvmName(name = "ycihnlrkeaiivred")

suspend fun beta1(value: Double?)

beta2

@JvmName(name = "svjtlfnbbwrtrjmb")

suspend fun beta2(value: Output<Double>)

@JvmName(name = "vomdqpwspckqrxyd")

suspend fun beta2(value: Double?)

checkpointFrequency

@JvmName(name = "rigcxgtpdqkdqkud")

suspend fun checkpointFrequency(value: Output<Int>)

@JvmName(name = "avojflmuwxfpijne")

suspend fun checkpointFrequency(value: Int?)

checkpointModel

@JvmName(name = "ygiwnpawwcndarhs")

suspend fun checkpointModel(value: MLFlowModelJobInputArgs?)

@JvmName(name = "ybohcwknbqnufqdu")

suspend fun checkpointModel(value: Output<MLFlowModelJobInputArgs>)

@JvmName(name = "iypioyvglvxeamba")

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

checkpointRunId

@JvmName(name = "yfpfqvnhnvrmtglc")

suspend fun checkpointRunId(value: Output<String>)

@JvmName(name = "plcmldytqumbycor")

suspend fun checkpointRunId(value: String?)

distributed

@JvmName(name = "bolcitblnmbtleag")

suspend fun distributed(value: Output<Boolean>)

@JvmName(name = "cnfgisugpbggkgcv")

suspend fun distributed(value: Boolean?)

earlyStopping

@JvmName(name = "woxberfgkbmslcla")

suspend fun earlyStopping(value: Output<Boolean>)

@JvmName(name = "vxusjkwnlflgpefj")

suspend fun earlyStopping(value: Boolean?)

earlyStoppingDelay

@JvmName(name = "bgvsikqbrhqhmkoa")

suspend fun earlyStoppingDelay(value: Output<Int>)

@JvmName(name = "rqufowikaugwfnpc")

suspend fun earlyStoppingDelay(value: Int?)

earlyStoppingPatience

@JvmName(name = "qwoekfrcbabxswna")

suspend fun earlyStoppingPatience(value: Output<Int>)

@JvmName(name = "ilmgpgdykqtfkwsn")

suspend fun earlyStoppingPatience(value: Int?)

enableOnnxNormalization

@JvmName(name = "fxsdokrivonphcoi")

suspend fun enableOnnxNormalization(value: Output<Boolean>)

@JvmName(name = "bymqkycehcudjvaj")

suspend fun enableOnnxNormalization(value: Boolean?)

evaluationFrequency

@JvmName(name = "krtaxkoexigsmidk")

suspend fun evaluationFrequency(value: Output<Int>)

@JvmName(name = "ljedcydmggmitjbv")

suspend fun evaluationFrequency(value: Int?)

gradientAccumulationStep

@JvmName(name = "tljstafpehthnfvc")

suspend fun gradientAccumulationStep(value: Output<Int>)

@JvmName(name = "ayapffaobirtnqfs")

suspend fun gradientAccumulationStep(value: Int?)

layersToFreeze

@JvmName(name = "dantiucadvwkhtlp")

suspend fun layersToFreeze(value: Output<Int>)

@JvmName(name = "fhbbleqwxcfkiuxl")

suspend fun layersToFreeze(value: Int?)

learningRate

@JvmName(name = "uaqimlxdwqsalrij")

suspend fun learningRate(value: Output<Double>)

@JvmName(name = "dixchwrcijxqpyoj")

suspend fun learningRate(value: Double?)

learningRateScheduler

@JvmName(name = "bronxoqoifhregcg")

fun learningRateScheduler(value: LearningRateScheduler)

@JvmName(name = "bsdkrpycvtcphkxp")

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

@JvmName(name = "pejqrsjjaqeibvwr")

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

@JvmName(name = "kamvuhdchsydcevp")

fun learningRateScheduler(value: String)

modelName

@JvmName(name = "kyccqtuafxmgkmio")

suspend fun modelName(value: Output<String>)

@JvmName(name = "gywniyhbswwtondm")

suspend fun modelName(value: String?)

momentum

@JvmName(name = "rrwkhcrrvvxkwvvl")

suspend fun momentum(value: Output<Double>)

@JvmName(name = "nnnssfnbxvkuqbfc")

suspend fun momentum(value: Double?)

nesterov

@JvmName(name = "kcwaymufaafeairj")

suspend fun nesterov(value: Output<Boolean>)

@JvmName(name = "ehjgmhgdnfwnvrpc")

suspend fun nesterov(value: Boolean?)

numberOfEpochs

@JvmName(name = "wtyhdikkrebrjips")

suspend fun numberOfEpochs(value: Output<Int>)

@JvmName(name = "xnyyntnvdvoaeagi")

suspend fun numberOfEpochs(value: Int?)

numberOfWorkers

@JvmName(name = "nqbbcjmqahhnbwvf")

suspend fun numberOfWorkers(value: Output<Int>)

@JvmName(name = "tyytcjvhbsjmmbjv")

suspend fun numberOfWorkers(value: Int?)

optimizer

@JvmName(name = "pacrpiovswhjfshu")

fun optimizer(value: StochasticOptimizer)

@JvmName(name = "bjwqkltyilsveagq")

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

@JvmName(name = "leprqksjcodevrun")

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

@JvmName(name = "remdbhqwuvgabiyt")

fun optimizer(value: String)

randomSeed

@JvmName(name = "vppgaxkoduiqfidl")

suspend fun randomSeed(value: Output<Int>)

@JvmName(name = "cojoddnqqdlvarpe")

suspend fun randomSeed(value: Int?)

stepLRGamma

@JvmName(name = "gxmqikrmkoduxmxp")

suspend fun stepLRGamma(value: Output<Double>)

@JvmName(name = "wbubbvrdajwadqhj")

suspend fun stepLRGamma(value: Double?)

stepLRStepSize

@JvmName(name = "ouobruwtwfchqdhs")

suspend fun stepLRStepSize(value: Output<Int>)

@JvmName(name = "wvrapmmoyfombran")

suspend fun stepLRStepSize(value: Int?)

trainingBatchSize

@JvmName(name = "sgctmpyhovklbiwa")

suspend fun trainingBatchSize(value: Output<Int>)

@JvmName(name = "kjgystdiawvnktmc")

suspend fun trainingBatchSize(value: Int?)

trainingCropSize

@JvmName(name = "ypdgwsfkkcdbxpgo")

suspend fun trainingCropSize(value: Output<Int>)

@JvmName(name = "eeqykicujagutslm")

suspend fun trainingCropSize(value: Int?)

validationBatchSize

@JvmName(name = "kxklvcfopdkpokmf")

suspend fun validationBatchSize(value: Output<Int>)

@JvmName(name = "xoqwpagcapkrrlvm")

suspend fun validationBatchSize(value: Int?)

validationCropSize

@JvmName(name = "rkaorfqvknirqava")

suspend fun validationCropSize(value: Output<Int>)

@JvmName(name = "vohcwnjowrtbihjw")

suspend fun validationCropSize(value: Int?)

validationResizeSize

@JvmName(name = "ohwvcekqswxityob")

suspend fun validationResizeSize(value: Output<Int>)

@JvmName(name = "mjscuowlqhslgefg")

suspend fun validationResizeSize(value: Int?)

warmupCosineLRCycles

@JvmName(name = "rlhvcvywynmqbohl")

suspend fun warmupCosineLRCycles(value: Output<Double>)

@JvmName(name = "ipxwspqadlfrikwt")

suspend fun warmupCosineLRCycles(value: Double?)

warmupCosineLRWarmupEpochs

@JvmName(name = "qysmhnjsblmaxnvq")

suspend fun warmupCosineLRWarmupEpochs(value: Output<Int>)

@JvmName(name = "dypcivqcbuhggqwv")

suspend fun warmupCosineLRWarmupEpochs(value: Int?)

weightDecay

@JvmName(name = "taaaoltstrvxnaiy")

suspend fun weightDecay(value: Output<Double>)

@JvmName(name = "jprcpycfvrlxitqi")

suspend fun weightDecay(value: Double?)

weightedLoss

@JvmName(name = "sicxyoukccawgfyw")

suspend fun weightedLoss(value: Output<Int>)

@JvmName(name = "pnrmgxfsrnunxsin")

suspend fun weightedLoss(value: Int?)