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

ImageModelSettingsClassificationArgsBuilder

class ImageModelSettingsClassificationArgsBuilder

Builder for ImageModelSettingsClassificationArgs.

Functions

advancedSettings

@JvmName(name = "wrfoofyjvjgiddnn")

suspend fun advancedSettings(value: Output<String>)

@JvmName(name = "feomdvgiodicwjhu")

suspend fun advancedSettings(value: String?)

amsGradient

@JvmName(name = "agyvdttquhnmdarx")

suspend fun amsGradient(value: Output<Boolean>)

@JvmName(name = "rfrvvtfesfrclpgd")

suspend fun amsGradient(value: Boolean?)

augmentations

@JvmName(name = "hgecwobuhhcdxyee")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "oibfxhtukxedpsww")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "enuyikmhqtkgsarr")

suspend fun beta1(value: Output<Double>)

@JvmName(name = "uyhexoewkubebduo")

suspend fun beta1(value: Double?)

beta2

@JvmName(name = "tsudbktuophkxpwj")

suspend fun beta2(value: Output<Double>)

@JvmName(name = "sauwumjfvyruquxu")

suspend fun beta2(value: Double?)

checkpointFrequency

@JvmName(name = "nerqhmlgtkijfiip")

suspend fun checkpointFrequency(value: Output<Int>)

@JvmName(name = "vscsnaptxcmnchqs")

suspend fun checkpointFrequency(value: Int?)

checkpointModel

@JvmName(name = "shnovkfqdiqfhtmt")

suspend fun checkpointModel(value: MLFlowModelJobInputArgs?)

@JvmName(name = "qxnkkpqutbwaoegb")

suspend fun checkpointModel(value: Output<MLFlowModelJobInputArgs>)

@JvmName(name = "uwbovnlgoiasxrbl")

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

checkpointRunId

@JvmName(name = "rrxoicyvqcolyguu")

suspend fun checkpointRunId(value: Output<String>)

@JvmName(name = "wysyqcmexqoscywu")

suspend fun checkpointRunId(value: String?)

distributed

@JvmName(name = "vufvgwkiavecchdt")

suspend fun distributed(value: Output<Boolean>)

@JvmName(name = "ybhcnojicxuvrtci")

suspend fun distributed(value: Boolean?)

earlyStopping

@JvmName(name = "xhlgwaacuicainec")

suspend fun earlyStopping(value: Output<Boolean>)

@JvmName(name = "stkynejbxjnndnbf")

suspend fun earlyStopping(value: Boolean?)

earlyStoppingDelay

@JvmName(name = "ejqvnlvkeqexqmeh")

suspend fun earlyStoppingDelay(value: Output<Int>)

@JvmName(name = "aykflhpspgndhiji")

suspend fun earlyStoppingDelay(value: Int?)

earlyStoppingPatience

@JvmName(name = "shxpkeuagnjqrgqc")

suspend fun earlyStoppingPatience(value: Output<Int>)

@JvmName(name = "rootjkfgcxxhston")

suspend fun earlyStoppingPatience(value: Int?)

enableOnnxNormalization

@JvmName(name = "qvsixwnegqaamjnd")

suspend fun enableOnnxNormalization(value: Output<Boolean>)

@JvmName(name = "ulgsgtgyrtniesvq")

suspend fun enableOnnxNormalization(value: Boolean?)

evaluationFrequency

@JvmName(name = "ombkaupkkxmkyjrj")

suspend fun evaluationFrequency(value: Output<Int>)

@JvmName(name = "xgaxrpifepqsjshc")

suspend fun evaluationFrequency(value: Int?)

gradientAccumulationStep

@JvmName(name = "uagbeisbpjwedcfp")

suspend fun gradientAccumulationStep(value: Output<Int>)

@JvmName(name = "xkdfclqayqndtetd")

suspend fun gradientAccumulationStep(value: Int?)

layersToFreeze

@JvmName(name = "skholhcekqotwiuc")

suspend fun layersToFreeze(value: Output<Int>)

@JvmName(name = "eexhxfvgbrqunonr")

suspend fun layersToFreeze(value: Int?)

learningRate

@JvmName(name = "qxbvbryxheulumha")

suspend fun learningRate(value: Output<Double>)

@JvmName(name = "pxwvlkuummmwfdls")

suspend fun learningRate(value: Double?)

learningRateScheduler

@JvmName(name = "okofdmuaathhcsad")

fun learningRateScheduler(value: LearningRateScheduler)

@JvmName(name = "vohiyvudknnndjaw")

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

@JvmName(name = "nwcgabtlkvdwqlvk")

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

@JvmName(name = "kqrvowcdmhglyubp")

fun learningRateScheduler(value: String)

modelName

@JvmName(name = "dkifgjimohmnkosb")

suspend fun modelName(value: Output<String>)

@JvmName(name = "mlgibwvedmgqxpkl")

suspend fun modelName(value: String?)

momentum

@JvmName(name = "lhfnrcpumcenahal")

suspend fun momentum(value: Output<Double>)

@JvmName(name = "klgbhojikcgwmwlg")

suspend fun momentum(value: Double?)

nesterov

@JvmName(name = "ghslxrnipcskoyuq")

suspend fun nesterov(value: Output<Boolean>)

@JvmName(name = "csccsjpdnhkkjgxm")

suspend fun nesterov(value: Boolean?)

numberOfEpochs

@JvmName(name = "fdilgewjrbdmuueb")

suspend fun numberOfEpochs(value: Output<Int>)

@JvmName(name = "dioswtyqxoydrmuo")

suspend fun numberOfEpochs(value: Int?)

numberOfWorkers

@JvmName(name = "rxksyojkkpttbdab")

suspend fun numberOfWorkers(value: Output<Int>)

@JvmName(name = "fcmpuhjipvchcepf")

suspend fun numberOfWorkers(value: Int?)

optimizer

@JvmName(name = "pafkbvlovqohjarf")

fun optimizer(value: StochasticOptimizer)

@JvmName(name = "nkskpwuylkjmgyxg")

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

@JvmName(name = "pvmiatkwbwmivgbf")

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

@JvmName(name = "pdsgimpydmtlkhtt")

fun optimizer(value: String)

randomSeed

@JvmName(name = "nspmrdkdcoydbgax")

suspend fun randomSeed(value: Output<Int>)

@JvmName(name = "qpeuhtudovkiieot")

suspend fun randomSeed(value: Int?)

stepLRGamma

@JvmName(name = "pecqtwuhdaylvntx")

suspend fun stepLRGamma(value: Output<Double>)

@JvmName(name = "teamhliuaxtnmlpn")

suspend fun stepLRGamma(value: Double?)

stepLRStepSize

@JvmName(name = "hsbfbdnspbfkhkon")

suspend fun stepLRStepSize(value: Output<Int>)

@JvmName(name = "lrwcnqwdoclkmojm")

suspend fun stepLRStepSize(value: Int?)

trainingBatchSize

@JvmName(name = "dulqhykxhjekuqvp")

suspend fun trainingBatchSize(value: Output<Int>)

@JvmName(name = "sjuxidvrxsrkecaa")

suspend fun trainingBatchSize(value: Int?)

trainingCropSize

@JvmName(name = "vxwihjreinmtvhxp")

suspend fun trainingCropSize(value: Output<Int>)

@JvmName(name = "lgeiwoewxjbrhaca")

suspend fun trainingCropSize(value: Int?)

validationBatchSize

@JvmName(name = "iofatmrihebyxjsd")

suspend fun validationBatchSize(value: Output<Int>)

@JvmName(name = "ufdqhkcqchoivmoq")

suspend fun validationBatchSize(value: Int?)

validationCropSize

@JvmName(name = "gougwrnbmlfoafaq")

suspend fun validationCropSize(value: Output<Int>)

@JvmName(name = "nyfnmowhqqodvyai")

suspend fun validationCropSize(value: Int?)

validationResizeSize

@JvmName(name = "fpmlepshbyirvmgk")

suspend fun validationResizeSize(value: Output<Int>)

@JvmName(name = "qoqkqowaonresuro")

suspend fun validationResizeSize(value: Int?)

warmupCosineLRCycles

@JvmName(name = "eihyblbfuychtwtd")

suspend fun warmupCosineLRCycles(value: Output<Double>)

@JvmName(name = "atftmttwwllwseof")

suspend fun warmupCosineLRCycles(value: Double?)

warmupCosineLRWarmupEpochs

@JvmName(name = "doqbyvfdlukocsht")

suspend fun warmupCosineLRWarmupEpochs(value: Output<Int>)

@JvmName(name = "yuxhlitlwvjaeyir")

suspend fun warmupCosineLRWarmupEpochs(value: Int?)

weightDecay

@JvmName(name = "xdkyiuidwempcpjw")

suspend fun weightDecay(value: Output<Double>)

@JvmName(name = "famlrlolwnhffsrr")

suspend fun weightDecay(value: Double?)

weightedLoss

@JvmName(name = "mwnanktbkvxuqqrs")

suspend fun weightedLoss(value: Output<Int>)

@JvmName(name = "huctgasjfbsucxaa")

suspend fun weightedLoss(value: Int?)