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

ImageModelSettingsClassificationArgsBuilder

class ImageModelSettingsClassificationArgsBuilder

Builder for ImageModelSettingsClassificationArgs.

Functions

advancedSettings

@JvmName(name = "fhbgemddyivhmscw")

suspend fun advancedSettings(value: Output<String>)

@JvmName(name = "wifbykwaergyggmm")

suspend fun advancedSettings(value: String?)

amsGradient

@JvmName(name = "xsowktmouxshucrk")

suspend fun amsGradient(value: Output<Boolean>)

@JvmName(name = "nmlsuxuyrnmjgyrh")

suspend fun amsGradient(value: Boolean?)

augmentations

@JvmName(name = "xybesfwtsryfobyu")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "tjobduvidhmkjoyn")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "lettotammmjyyhev")

suspend fun beta1(value: Output<Double>)

@JvmName(name = "ommoeimsvmtdhuun")

suspend fun beta1(value: Double?)

beta2

@JvmName(name = "ajoishlyeovfdjkm")

suspend fun beta2(value: Output<Double>)

@JvmName(name = "tejlfyfhcosuinby")

suspend fun beta2(value: Double?)

checkpointFrequency

@JvmName(name = "wcfrrckocjutpnfp")

suspend fun checkpointFrequency(value: Output<Int>)

@JvmName(name = "ysoimsekhcxdhrae")

suspend fun checkpointFrequency(value: Int?)

checkpointModel

@JvmName(name = "umfrdvmxvjxvfnuo")

suspend fun checkpointModel(value: MLFlowModelJobInputArgs?)

@JvmName(name = "luasxmscfypavvba")

suspend fun checkpointModel(value: Output<MLFlowModelJobInputArgs>)

@JvmName(name = "yrayswpptttoufov")

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

checkpointRunId

@JvmName(name = "wbpubjuojarlrmlb")

suspend fun checkpointRunId(value: Output<String>)

@JvmName(name = "wbjbdinnxqcsitvc")

suspend fun checkpointRunId(value: String?)

distributed

@JvmName(name = "fjoaymxtasoebogb")

suspend fun distributed(value: Output<Boolean>)

@JvmName(name = "afqfjyjdcexsfgri")

suspend fun distributed(value: Boolean?)

earlyStopping

@JvmName(name = "xekaiesbpqyottrl")

suspend fun earlyStopping(value: Output<Boolean>)

@JvmName(name = "gdgqaglbrvoiunra")

suspend fun earlyStopping(value: Boolean?)

earlyStoppingDelay

@JvmName(name = "dpkvcwvgstmucsjb")

suspend fun earlyStoppingDelay(value: Output<Int>)

@JvmName(name = "yubqgdtijdqhucat")

suspend fun earlyStoppingDelay(value: Int?)

earlyStoppingPatience

@JvmName(name = "iylohnyyttmjkfye")

suspend fun earlyStoppingPatience(value: Output<Int>)

@JvmName(name = "soahgcthjlhwylym")

suspend fun earlyStoppingPatience(value: Int?)

enableOnnxNormalization

@JvmName(name = "guchvbmxlawdygyh")

suspend fun enableOnnxNormalization(value: Output<Boolean>)

@JvmName(name = "qyqrxxtvshxtydph")

suspend fun enableOnnxNormalization(value: Boolean?)

evaluationFrequency

@JvmName(name = "tqagtkasqjukxupr")

suspend fun evaluationFrequency(value: Output<Int>)

@JvmName(name = "wetgjrdrjylojxcs")

suspend fun evaluationFrequency(value: Int?)

gradientAccumulationStep

@JvmName(name = "uvqqtbbdrvqhqxic")

suspend fun gradientAccumulationStep(value: Output<Int>)

@JvmName(name = "xwigmtufgipgowyf")

suspend fun gradientAccumulationStep(value: Int?)

layersToFreeze

@JvmName(name = "uuivqnamsadrpbnn")

suspend fun layersToFreeze(value: Output<Int>)

@JvmName(name = "bsixqorijrgliwwk")

suspend fun layersToFreeze(value: Int?)

learningRate

@JvmName(name = "pnaodtikpevcioyg")

suspend fun learningRate(value: Output<Double>)

@JvmName(name = "rpfqyrhasfpuiixl")

suspend fun learningRate(value: Double?)

learningRateScheduler

@JvmName(name = "jfdgrvjvwmjylojp")

fun learningRateScheduler(value: LearningRateScheduler)

@JvmName(name = "wibmxvyyexgysxvk")

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

@JvmName(name = "pdmyxvjbwsndxmtw")

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

@JvmName(name = "mpscwyhpxxurggcf")

fun learningRateScheduler(value: String)

modelName

@JvmName(name = "dyywwvblbhmichsi")

suspend fun modelName(value: Output<String>)

@JvmName(name = "ehiaeoonocrbopts")

suspend fun modelName(value: String?)

momentum

@JvmName(name = "csfmnmbikhvsgtsq")

suspend fun momentum(value: Output<Double>)

@JvmName(name = "jaedtvrdqppadjxq")

suspend fun momentum(value: Double?)

nesterov

@JvmName(name = "qtjqpcorputjhsig")

suspend fun nesterov(value: Output<Boolean>)

@JvmName(name = "eohvkcasywnecsey")

suspend fun nesterov(value: Boolean?)

numberOfEpochs

@JvmName(name = "tojmdyqktogwgcoi")

suspend fun numberOfEpochs(value: Output<Int>)

@JvmName(name = "bdgajuqgjxhbmyul")

suspend fun numberOfEpochs(value: Int?)

numberOfWorkers

@JvmName(name = "xadhprnqsboacopr")

suspend fun numberOfWorkers(value: Output<Int>)

@JvmName(name = "owokkiqdhppkbnlt")

suspend fun numberOfWorkers(value: Int?)

optimizer

@JvmName(name = "cjdhbihabxjkrtct")

fun optimizer(value: StochasticOptimizer)

@JvmName(name = "gqvutyropypfwusd")

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

@JvmName(name = "upwanrrjobxwfvcy")

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

@JvmName(name = "srrobpjtndjvfvvk")

fun optimizer(value: String)

randomSeed

@JvmName(name = "hkkulqetmfhjbuse")

suspend fun randomSeed(value: Output<Int>)

@JvmName(name = "jvjktcurerrgqerj")

suspend fun randomSeed(value: Int?)

stepLRGamma

@JvmName(name = "srikrdfdhsnmbeeb")

suspend fun stepLRGamma(value: Output<Double>)

@JvmName(name = "wwdnelgurjuteljd")

suspend fun stepLRGamma(value: Double?)

stepLRStepSize

@JvmName(name = "gsymqrmnmnaxfwhn")

suspend fun stepLRStepSize(value: Output<Int>)

@JvmName(name = "bgiebbeqnorxjaum")

suspend fun stepLRStepSize(value: Int?)

trainingBatchSize

@JvmName(name = "uqbeiyqmgwsdqbtj")

suspend fun trainingBatchSize(value: Output<Int>)

@JvmName(name = "rlsaaoenxgslfuku")

suspend fun trainingBatchSize(value: Int?)

trainingCropSize

@JvmName(name = "jtifyrdlubauqqvk")

suspend fun trainingCropSize(value: Output<Int>)

@JvmName(name = "xdgoubkqmcuyjcek")

suspend fun trainingCropSize(value: Int?)

validationBatchSize

@JvmName(name = "fhmonntwnkprrwoh")

suspend fun validationBatchSize(value: Output<Int>)

@JvmName(name = "jiyfsbtdgfhhrluc")

suspend fun validationBatchSize(value: Int?)

validationCropSize

@JvmName(name = "istuhnonfgvryttf")

suspend fun validationCropSize(value: Output<Int>)

@JvmName(name = "wersfkknggibasik")

suspend fun validationCropSize(value: Int?)

validationResizeSize

@JvmName(name = "uplpcsgbjivwbhmb")

suspend fun validationResizeSize(value: Output<Int>)

@JvmName(name = "opawllbdlibbvtxk")

suspend fun validationResizeSize(value: Int?)

warmupCosineLRCycles

@JvmName(name = "xghdjtkuskqhrddn")

suspend fun warmupCosineLRCycles(value: Output<Double>)

@JvmName(name = "raessqketpyppabp")

suspend fun warmupCosineLRCycles(value: Double?)

warmupCosineLRWarmupEpochs

@JvmName(name = "ygxfdtccdjhwydjt")

suspend fun warmupCosineLRWarmupEpochs(value: Output<Int>)

@JvmName(name = "liqlpxnkxknuhpur")

suspend fun warmupCosineLRWarmupEpochs(value: Int?)

weightDecay

@JvmName(name = "opunsrqrwerfavte")

suspend fun weightDecay(value: Output<Double>)

@JvmName(name = "moillypvrwjixeao")

suspend fun weightDecay(value: Double?)

weightedLoss

@JvmName(name = "fonykwtnxoghrvhl")

suspend fun weightedLoss(value: Output<Int>)

@JvmName(name = "ujmlgtrgchlayvyp")

suspend fun weightedLoss(value: Int?)