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

ImageModelSettingsClassificationArgsBuilder

class ImageModelSettingsClassificationArgsBuilder

Builder for ImageModelSettingsClassificationArgs.

Functions

advancedSettings

@JvmName(name = "kkstqhfnwvednxww")

suspend fun advancedSettings(value: Output<String>)

@JvmName(name = "xmnbkfdfdrvyrvii")

suspend fun advancedSettings(value: String?)

amsGradient

@JvmName(name = "lpwqhchkwudjyuxd")

suspend fun amsGradient(value: Output<Boolean>)

@JvmName(name = "hikjpecufhthmfgm")

suspend fun amsGradient(value: Boolean?)

augmentations

@JvmName(name = "cgovhaiktwqxileq")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "aguvvvjawmwhwvqq")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "blglcddmgtfxsbar")

suspend fun beta1(value: Output<Double>)

@JvmName(name = "yrdcadbmmgayqdfb")

suspend fun beta1(value: Double?)

beta2

@JvmName(name = "fvxnpffjlmjrqwda")

suspend fun beta2(value: Output<Double>)

@JvmName(name = "rpcjhrkifeiyqink")

suspend fun beta2(value: Double?)

checkpointFrequency

@JvmName(name = "svuagodepbyxqiqe")

suspend fun checkpointFrequency(value: Output<Int>)

@JvmName(name = "viyahakqoqjagfag")

suspend fun checkpointFrequency(value: Int?)

checkpointModel

@JvmName(name = "ueukudmvihptaevt")

suspend fun checkpointModel(value: MLFlowModelJobInputArgs?)

@JvmName(name = "tyxuahhtqenmvaon")

suspend fun checkpointModel(value: Output<MLFlowModelJobInputArgs>)

@JvmName(name = "driaieoygoccpuuj")

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

checkpointRunId

@JvmName(name = "elpawymewuhjvpcq")

suspend fun checkpointRunId(value: Output<String>)

@JvmName(name = "qklcfmjxfslwokkc")

suspend fun checkpointRunId(value: String?)

distributed

@JvmName(name = "hhbhasmqwixdqstj")

suspend fun distributed(value: Output<Boolean>)

@JvmName(name = "vmhcuokkkuponwns")

suspend fun distributed(value: Boolean?)

earlyStopping

@JvmName(name = "nxbssffcvnxpjqql")

suspend fun earlyStopping(value: Output<Boolean>)

@JvmName(name = "lqsxewcpymfvlaoc")

suspend fun earlyStopping(value: Boolean?)

earlyStoppingDelay

@JvmName(name = "gkwnqiuotpecvahh")

suspend fun earlyStoppingDelay(value: Output<Int>)

@JvmName(name = "tohvxawlautxxifr")

suspend fun earlyStoppingDelay(value: Int?)

earlyStoppingPatience

@JvmName(name = "kvoajkndtcxadeoj")

suspend fun earlyStoppingPatience(value: Output<Int>)

@JvmName(name = "enwdnlgnrypnnmny")

suspend fun earlyStoppingPatience(value: Int?)

enableOnnxNormalization

@JvmName(name = "wsnkafxfoedrtovv")

suspend fun enableOnnxNormalization(value: Output<Boolean>)

@JvmName(name = "qhiveeiqsteqvvlr")

suspend fun enableOnnxNormalization(value: Boolean?)

evaluationFrequency

@JvmName(name = "bwogfhhuajiikaih")

suspend fun evaluationFrequency(value: Output<Int>)

@JvmName(name = "keydxuclfjmbfvcy")

suspend fun evaluationFrequency(value: Int?)

gradientAccumulationStep

@JvmName(name = "bycenbonsbhyomwx")

suspend fun gradientAccumulationStep(value: Output<Int>)

@JvmName(name = "ademsgtkmiertvry")

suspend fun gradientAccumulationStep(value: Int?)

layersToFreeze

@JvmName(name = "taibvsqitnikclbr")

suspend fun layersToFreeze(value: Output<Int>)

@JvmName(name = "crsytughnbmrwusr")

suspend fun layersToFreeze(value: Int?)

learningRate

@JvmName(name = "xinplbpwpsehdlgq")

suspend fun learningRate(value: Output<Double>)

@JvmName(name = "ifiuhddwdynldhhb")

suspend fun learningRate(value: Double?)

learningRateScheduler

@JvmName(name = "exgpecscvyjdchbn")

fun learningRateScheduler(value: LearningRateScheduler)

@JvmName(name = "ljyihavewajnycdq")

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

@JvmName(name = "bxoqdikykpoeyckl")

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

@JvmName(name = "lerdrgykmlcyshbv")

fun learningRateScheduler(value: String)

modelName

@JvmName(name = "ranjasgteihthlwj")

suspend fun modelName(value: Output<String>)

@JvmName(name = "vqheleqlevwgqndb")

suspend fun modelName(value: String?)

momentum

@JvmName(name = "bjjntmujvdgjndsc")

suspend fun momentum(value: Output<Double>)

@JvmName(name = "ecuyrphlmrnxtjnx")

suspend fun momentum(value: Double?)

nesterov

@JvmName(name = "gwcwihlckktdvaqi")

suspend fun nesterov(value: Output<Boolean>)

@JvmName(name = "yuarrrvsygpsnamo")

suspend fun nesterov(value: Boolean?)

numberOfEpochs

@JvmName(name = "cahcaukhsqhogkjg")

suspend fun numberOfEpochs(value: Output<Int>)

@JvmName(name = "lhabjvrdqllgljtg")

suspend fun numberOfEpochs(value: Int?)

numberOfWorkers

@JvmName(name = "vhxwtdyvvtfjadai")

suspend fun numberOfWorkers(value: Output<Int>)

@JvmName(name = "lncqhjgrppumnaso")

suspend fun numberOfWorkers(value: Int?)

optimizer

@JvmName(name = "wpivwarobsumsmxg")

fun optimizer(value: StochasticOptimizer)

@JvmName(name = "grlndhbrmiscebhy")

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

@JvmName(name = "vfnmodihvmljjrdw")

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

@JvmName(name = "wdwhtwdbgljkrlef")

fun optimizer(value: String)

randomSeed

@JvmName(name = "tbmjqocxiayrugkx")

suspend fun randomSeed(value: Output<Int>)

@JvmName(name = "awoonflydkmedxgm")

suspend fun randomSeed(value: Int?)

stepLRGamma

@JvmName(name = "chtpxjsfkgeetccp")

suspend fun stepLRGamma(value: Output<Double>)

@JvmName(name = "jrjqenwllyikpiue")

suspend fun stepLRGamma(value: Double?)

stepLRStepSize

@JvmName(name = "jnqrnmuqlsydpphf")

suspend fun stepLRStepSize(value: Output<Int>)

@JvmName(name = "ghmlpviocsxlfaum")

suspend fun stepLRStepSize(value: Int?)

trainingBatchSize

@JvmName(name = "gfppenamwhpaldbg")

suspend fun trainingBatchSize(value: Output<Int>)

@JvmName(name = "awyjgduhybhxnwwe")

suspend fun trainingBatchSize(value: Int?)

trainingCropSize

@JvmName(name = "psilkkwgoevuxkxo")

suspend fun trainingCropSize(value: Output<Int>)

@JvmName(name = "wocvhfsfjmanigqs")

suspend fun trainingCropSize(value: Int?)

validationBatchSize

@JvmName(name = "mteoktbkyojsmwug")

suspend fun validationBatchSize(value: Output<Int>)

@JvmName(name = "jdxijifgyetfcenp")

suspend fun validationBatchSize(value: Int?)

validationCropSize

@JvmName(name = "bodkwaspohickfdc")

suspend fun validationCropSize(value: Output<Int>)

@JvmName(name = "uepmsceojoqflisd")

suspend fun validationCropSize(value: Int?)

validationResizeSize

@JvmName(name = "eagaiwnvayngwlmw")

suspend fun validationResizeSize(value: Output<Int>)

@JvmName(name = "nqeabxmiuufmwipo")

suspend fun validationResizeSize(value: Int?)

warmupCosineLRCycles

@JvmName(name = "cwjkscjwhhodbctx")

suspend fun warmupCosineLRCycles(value: Output<Double>)

@JvmName(name = "opwxvemrssvrutrn")

suspend fun warmupCosineLRCycles(value: Double?)

warmupCosineLRWarmupEpochs

@JvmName(name = "ivukcvdbnqqunnby")

suspend fun warmupCosineLRWarmupEpochs(value: Output<Int>)

@JvmName(name = "tiqddfexlmifvanw")

suspend fun warmupCosineLRWarmupEpochs(value: Int?)

weightDecay

@JvmName(name = "aysyffafjaylrjox")

suspend fun weightDecay(value: Output<Double>)

@JvmName(name = "nauuxtvhiybwgytb")

suspend fun weightDecay(value: Double?)

weightedLoss

@JvmName(name = "wtdxynuchcdnkyhx")

suspend fun weightedLoss(value: Output<Int>)

@JvmName(name = "vytnoeolkqempfqf")

suspend fun weightedLoss(value: Int?)