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

ImageModelSettingsClassificationArgsBuilder

class ImageModelSettingsClassificationArgsBuilder

Builder for ImageModelSettingsClassificationArgs.

Functions

advancedSettings

@JvmName(name = "vqdlkdrqmytwncjt")

suspend fun advancedSettings(value: Output<String>)

@JvmName(name = "dshlxjageygskdak")

suspend fun advancedSettings(value: String?)

amsGradient

@JvmName(name = "cuatnoocxlaxnqfy")

suspend fun amsGradient(value: Output<Boolean>)

@JvmName(name = "xlqxiolfnnbydydt")

suspend fun amsGradient(value: Boolean?)

augmentations

@JvmName(name = "dfswmmofwkdmfpqm")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "efdqbrkwbcbbccaw")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "snuvgmiicuxraicp")

suspend fun beta1(value: Output<Double>)

@JvmName(name = "fwfqdbksxgvchiyj")

suspend fun beta1(value: Double?)

beta2

@JvmName(name = "anjwmgpglmarailf")

suspend fun beta2(value: Output<Double>)

@JvmName(name = "igambsuhiifkrrgj")

suspend fun beta2(value: Double?)

checkpointFrequency

@JvmName(name = "wxpdthgxahxnhxdc")

suspend fun checkpointFrequency(value: Output<Int>)

@JvmName(name = "aypyphixwqwtxtiu")

suspend fun checkpointFrequency(value: Int?)

checkpointModel

@JvmName(name = "nsufrhpbeuloaqan")

suspend fun checkpointModel(value: MLFlowModelJobInputArgs?)

@JvmName(name = "thbueoublmyiiyhw")

suspend fun checkpointModel(value: Output<MLFlowModelJobInputArgs>)

@JvmName(name = "ogmvhuutlxjewavj")

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

checkpointRunId

@JvmName(name = "pxyolhjnxvbncoru")

suspend fun checkpointRunId(value: Output<String>)

@JvmName(name = "hlvicthbqdrpjpml")

suspend fun checkpointRunId(value: String?)

distributed

@JvmName(name = "taqbfkjnpxdtkdfn")

suspend fun distributed(value: Output<Boolean>)

@JvmName(name = "plyhxptlwpssxkbk")

suspend fun distributed(value: Boolean?)

earlyStopping

@JvmName(name = "iwbypuqejcucwfpu")

suspend fun earlyStopping(value: Output<Boolean>)

@JvmName(name = "ghxntogkbimqckti")

suspend fun earlyStopping(value: Boolean?)

earlyStoppingDelay

@JvmName(name = "xkytprfjabubobmd")

suspend fun earlyStoppingDelay(value: Output<Int>)

@JvmName(name = "oijvutxuhypylrmc")

suspend fun earlyStoppingDelay(value: Int?)

earlyStoppingPatience

@JvmName(name = "dvulwjbepyncjlsd")

suspend fun earlyStoppingPatience(value: Output<Int>)

@JvmName(name = "ywpvukxcxeukxqdm")

suspend fun earlyStoppingPatience(value: Int?)

enableOnnxNormalization

@JvmName(name = "bqynwaqntvhknhuh")

suspend fun enableOnnxNormalization(value: Output<Boolean>)

@JvmName(name = "ebtnikhujbkkyfhj")

suspend fun enableOnnxNormalization(value: Boolean?)

evaluationFrequency

@JvmName(name = "tgfdrslxyytotbyk")

suspend fun evaluationFrequency(value: Output<Int>)

@JvmName(name = "lchpusijkyvygskq")

suspend fun evaluationFrequency(value: Int?)

gradientAccumulationStep

@JvmName(name = "paymntvrpbyluqee")

suspend fun gradientAccumulationStep(value: Output<Int>)

@JvmName(name = "hnohgqcvsuvxfppp")

suspend fun gradientAccumulationStep(value: Int?)

layersToFreeze

@JvmName(name = "juxlvlcrdbpkhjll")

suspend fun layersToFreeze(value: Output<Int>)

@JvmName(name = "vbmkfskiswqqaghh")

suspend fun layersToFreeze(value: Int?)

learningRate

@JvmName(name = "bnwkfebpryqrxpxm")

suspend fun learningRate(value: Output<Double>)

@JvmName(name = "cmfbwqnpeocmltkw")

suspend fun learningRate(value: Double?)

learningRateScheduler

@JvmName(name = "aeybmelicujycfxg")

fun learningRateScheduler(value: LearningRateScheduler)

@JvmName(name = "afhalrcavtbmhrgd")

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

@JvmName(name = "ccyjrcehpelphubk")

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

@JvmName(name = "gtnjkuwicrxuiphp")

fun learningRateScheduler(value: String)

modelName

@JvmName(name = "cabavmpvnrjfwfly")

suspend fun modelName(value: Output<String>)

@JvmName(name = "iichhhsavwxuodqa")

suspend fun modelName(value: String?)

momentum

@JvmName(name = "jlxyjtxgeiygcnao")

suspend fun momentum(value: Output<Double>)

@JvmName(name = "khudtuemaiivknuo")

suspend fun momentum(value: Double?)

nesterov

@JvmName(name = "pjbcgcrnuyxduiwx")

suspend fun nesterov(value: Output<Boolean>)

@JvmName(name = "ybbdqxgnqsakyger")

suspend fun nesterov(value: Boolean?)

numberOfEpochs

@JvmName(name = "nudmdqcimqxotssl")

suspend fun numberOfEpochs(value: Output<Int>)

@JvmName(name = "gjfbrggfoxehtcej")

suspend fun numberOfEpochs(value: Int?)

numberOfWorkers

@JvmName(name = "feflfyhhatnuvnai")

suspend fun numberOfWorkers(value: Output<Int>)

@JvmName(name = "udjuajhqmvrbbiac")

suspend fun numberOfWorkers(value: Int?)

optimizer

@JvmName(name = "exmmyrbovtmoaebo")

fun optimizer(value: StochasticOptimizer)

@JvmName(name = "rbomfhavvcsdaeoa")

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

@JvmName(name = "nnvdsjjixxrdmjqx")

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

@JvmName(name = "aosqnhcotxwstxhm")

fun optimizer(value: String)

randomSeed

@JvmName(name = "uggrsaekwfupixix")

suspend fun randomSeed(value: Output<Int>)

@JvmName(name = "gtnwyajyxinsplqf")

suspend fun randomSeed(value: Int?)

stepLRGamma

@JvmName(name = "asvbmemykudtahhe")

suspend fun stepLRGamma(value: Output<Double>)

@JvmName(name = "ccddgnnmkqgrbmoe")

suspend fun stepLRGamma(value: Double?)

stepLRStepSize

@JvmName(name = "qiepeconnckgjpwp")

suspend fun stepLRStepSize(value: Output<Int>)

@JvmName(name = "sxqcmvphenxpwxkn")

suspend fun stepLRStepSize(value: Int?)

trainingBatchSize

@JvmName(name = "dcpiafdnaxhevqcl")

suspend fun trainingBatchSize(value: Output<Int>)

@JvmName(name = "fpjjrqwmiqbjxvtc")

suspend fun trainingBatchSize(value: Int?)

trainingCropSize

@JvmName(name = "qnusyohdkxejdbti")

suspend fun trainingCropSize(value: Output<Int>)

@JvmName(name = "vtqntmdvxblwhncn")

suspend fun trainingCropSize(value: Int?)

validationBatchSize

@JvmName(name = "hoocqercjytoyesi")

suspend fun validationBatchSize(value: Output<Int>)

@JvmName(name = "kinbdqqeuyxltxmx")

suspend fun validationBatchSize(value: Int?)

validationCropSize

@JvmName(name = "kmiphyicrtmhblka")

suspend fun validationCropSize(value: Output<Int>)

@JvmName(name = "eakgyubxjwcsxtxk")

suspend fun validationCropSize(value: Int?)

validationResizeSize

@JvmName(name = "paybvlbvsfvphvns")

suspend fun validationResizeSize(value: Output<Int>)

@JvmName(name = "epqtlaweyfxinujs")

suspend fun validationResizeSize(value: Int?)

warmupCosineLRCycles

@JvmName(name = "eiwasmvuovyuhmcr")

suspend fun warmupCosineLRCycles(value: Output<Double>)

@JvmName(name = "qpyfpdljddepcsdo")

suspend fun warmupCosineLRCycles(value: Double?)

warmupCosineLRWarmupEpochs

@JvmName(name = "ikgbuydyqqttkawb")

suspend fun warmupCosineLRWarmupEpochs(value: Output<Int>)

@JvmName(name = "pvxyeyajbgrmopay")

suspend fun warmupCosineLRWarmupEpochs(value: Int?)

weightDecay

@JvmName(name = "bssjgxvrywqncjnp")

suspend fun weightDecay(value: Output<Double>)

@JvmName(name = "fvhvfnjyqxgvgxlo")

suspend fun weightDecay(value: Double?)

weightedLoss

@JvmName(name = "lbtgwyovqoufrxcn")

suspend fun weightedLoss(value: Output<Int>)

@JvmName(name = "bpqivcefflwpnead")

suspend fun weightedLoss(value: Int?)