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

ImageModelSettingsClassificationArgsBuilder

class ImageModelSettingsClassificationArgsBuilder

Builder for ImageModelSettingsClassificationArgs.

Functions

advancedSettings

@JvmName(name = "wlniuumgfaahrqjo")

suspend fun advancedSettings(value: Output<String>)

@JvmName(name = "kqlpuanbrwhrlceq")

suspend fun advancedSettings(value: String?)

amsGradient

@JvmName(name = "bnhwedolofpfqctf")

suspend fun amsGradient(value: Output<Boolean>)

@JvmName(name = "wjsppfbxlyegwoba")

suspend fun amsGradient(value: Boolean?)

augmentations

@JvmName(name = "ogdpexcnypdqhydw")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "rcpdcbfgjjyegslb")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "qspiibkfudqfmmwg")

suspend fun beta1(value: Output<Double>)

@JvmName(name = "xmfqjhbsbmjimsyr")

suspend fun beta1(value: Double?)

beta2

@JvmName(name = "bccpnajvmobqqyly")

suspend fun beta2(value: Output<Double>)

@JvmName(name = "kmbvyksnrefbdryo")

suspend fun beta2(value: Double?)

checkpointFrequency

@JvmName(name = "eufmdjsigliqccfw")

suspend fun checkpointFrequency(value: Output<Int>)

@JvmName(name = "omjjbkfhlxbubnip")

suspend fun checkpointFrequency(value: Int?)

checkpointModel

@JvmName(name = "fakmsyceedqifiqu")

suspend fun checkpointModel(value: MLFlowModelJobInputArgs?)

@JvmName(name = "wxacgaerltpmtkpj")

suspend fun checkpointModel(value: Output<MLFlowModelJobInputArgs>)

@JvmName(name = "ugelplxplofcdnll")

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

checkpointRunId

@JvmName(name = "eqhaevvxmcmehmko")

suspend fun checkpointRunId(value: Output<String>)

@JvmName(name = "khvnljcldxopglxn")

suspend fun checkpointRunId(value: String?)

distributed

@JvmName(name = "vovmnqnqrcyrfsvh")

suspend fun distributed(value: Output<Boolean>)

@JvmName(name = "axliwaunvdhqgbwf")

suspend fun distributed(value: Boolean?)

earlyStopping

@JvmName(name = "rgpxewjkhawsxbgg")

suspend fun earlyStopping(value: Output<Boolean>)

@JvmName(name = "sfwmxmrdpvapjnsk")

suspend fun earlyStopping(value: Boolean?)

earlyStoppingDelay

@JvmName(name = "equmfkjrcirknvvd")

suspend fun earlyStoppingDelay(value: Output<Int>)

@JvmName(name = "ujlnymgxqnqvlkwb")

suspend fun earlyStoppingDelay(value: Int?)

earlyStoppingPatience

@JvmName(name = "xpqsbppuxxnrleol")

suspend fun earlyStoppingPatience(value: Output<Int>)

@JvmName(name = "nlwxbmewhxdvrshv")

suspend fun earlyStoppingPatience(value: Int?)

enableOnnxNormalization

@JvmName(name = "bkmuuvovhdbkistr")

suspend fun enableOnnxNormalization(value: Output<Boolean>)

@JvmName(name = "apqqtnwuephxdyfb")

suspend fun enableOnnxNormalization(value: Boolean?)

evaluationFrequency

@JvmName(name = "srjuyaevuxcquykr")

suspend fun evaluationFrequency(value: Output<Int>)

@JvmName(name = "fgvwoohtgeegvvwa")

suspend fun evaluationFrequency(value: Int?)

gradientAccumulationStep

@JvmName(name = "yvqklbusoujnivin")

suspend fun gradientAccumulationStep(value: Output<Int>)

@JvmName(name = "mjxqicpqxrebkxyg")

suspend fun gradientAccumulationStep(value: Int?)

layersToFreeze

@JvmName(name = "lqlllwcoequallkm")

suspend fun layersToFreeze(value: Output<Int>)

@JvmName(name = "miwtkiltbrwifaen")

suspend fun layersToFreeze(value: Int?)

learningRate

@JvmName(name = "ntiphngwwydkcnbe")

suspend fun learningRate(value: Output<Double>)

@JvmName(name = "olgsoovqdtdwnfjk")

suspend fun learningRate(value: Double?)

learningRateScheduler

@JvmName(name = "xugurcucapaqqqqh")

fun learningRateScheduler(value: LearningRateScheduler)

@JvmName(name = "drbulkosgjfkapqf")

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

@JvmName(name = "tifmfxycokkeymfi")

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

@JvmName(name = "mvvxeauuubsujmva")

fun learningRateScheduler(value: String)

modelName

@JvmName(name = "aodksrlhqpxfcwyd")

suspend fun modelName(value: Output<String>)

@JvmName(name = "fjnvqljtcqfutqjr")

suspend fun modelName(value: String?)

momentum

@JvmName(name = "gwrvwiaigimwogyw")

suspend fun momentum(value: Output<Double>)

@JvmName(name = "hbbiuchmdtrfxuug")

suspend fun momentum(value: Double?)

nesterov

@JvmName(name = "xktnfynkydhajbbc")

suspend fun nesterov(value: Output<Boolean>)

@JvmName(name = "vnponarlgnldunyg")

suspend fun nesterov(value: Boolean?)

numberOfEpochs

@JvmName(name = "cqeskghhwabekvhq")

suspend fun numberOfEpochs(value: Output<Int>)

@JvmName(name = "egcwmcmmdkodttxp")

suspend fun numberOfEpochs(value: Int?)

numberOfWorkers

@JvmName(name = "wbenqcmqbllxsshs")

suspend fun numberOfWorkers(value: Output<Int>)

@JvmName(name = "ckrvyjgjvmxbupgc")

suspend fun numberOfWorkers(value: Int?)

optimizer

@JvmName(name = "xvqysoysgkttawmh")

fun optimizer(value: StochasticOptimizer)

@JvmName(name = "mxwhdpimypaxmcpx")

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

@JvmName(name = "glhlvlmuejbhufbb")

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

@JvmName(name = "svnfpivevagucesk")

fun optimizer(value: String)

randomSeed

@JvmName(name = "okabdchkrqgynyca")

suspend fun randomSeed(value: Output<Int>)

@JvmName(name = "uioobbeqvntoesxj")

suspend fun randomSeed(value: Int?)

stepLRGamma

@JvmName(name = "ewfaeuwcmjjmubxx")

suspend fun stepLRGamma(value: Output<Double>)

@JvmName(name = "sbdoamhghpjietkt")

suspend fun stepLRGamma(value: Double?)

stepLRStepSize

@JvmName(name = "qfxaqeobqnixfjpd")

suspend fun stepLRStepSize(value: Output<Int>)

@JvmName(name = "oedncrxljabwmgpf")

suspend fun stepLRStepSize(value: Int?)

trainingBatchSize

@JvmName(name = "lrlfuvobuvdftdvu")

suspend fun trainingBatchSize(value: Output<Int>)

@JvmName(name = "nkqgutlrhejisjrk")

suspend fun trainingBatchSize(value: Int?)

trainingCropSize

@JvmName(name = "ajjclrbchnwnusmp")

suspend fun trainingCropSize(value: Output<Int>)

@JvmName(name = "djjnpsiudmvsoepp")

suspend fun trainingCropSize(value: Int?)

validationBatchSize

@JvmName(name = "xqexdcylrbmmnlrt")

suspend fun validationBatchSize(value: Output<Int>)

@JvmName(name = "ggoduhhogfmiokon")

suspend fun validationBatchSize(value: Int?)

validationCropSize

@JvmName(name = "lvebwpfoapxecrmk")

suspend fun validationCropSize(value: Output<Int>)

@JvmName(name = "thkeixyqhfccpnlp")

suspend fun validationCropSize(value: Int?)

validationResizeSize

@JvmName(name = "bieynvajcbehwlvb")

suspend fun validationResizeSize(value: Output<Int>)

@JvmName(name = "tqvddvvwabsdbakn")

suspend fun validationResizeSize(value: Int?)

warmupCosineLRCycles

@JvmName(name = "gkpdoqfjiyqkqsym")

suspend fun warmupCosineLRCycles(value: Output<Double>)

@JvmName(name = "ccmsjmshcjwagsax")

suspend fun warmupCosineLRCycles(value: Double?)

warmupCosineLRWarmupEpochs

@JvmName(name = "boensfgulfrdkxpa")

suspend fun warmupCosineLRWarmupEpochs(value: Output<Int>)

@JvmName(name = "ajpfrajkmrjufurn")

suspend fun warmupCosineLRWarmupEpochs(value: Int?)

weightDecay

@JvmName(name = "ddeegyifpfnmimqh")

suspend fun weightDecay(value: Output<Double>)

@JvmName(name = "jxfrtclicokhbtvx")

suspend fun weightDecay(value: Double?)

weightedLoss

@JvmName(name = "cioyoacobwhpyysy")

suspend fun weightedLoss(value: Output<Int>)

@JvmName(name = "unnoeempyrvfbqnw")

suspend fun weightedLoss(value: Int?)