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

ImageModelSettingsClassificationArgsBuilder

class ImageModelSettingsClassificationArgsBuilder

Builder for ImageModelSettingsClassificationArgs.

Functions

advancedSettings

@JvmName(name = "svxbmmrbrncoybkx")

suspend fun advancedSettings(value: Output<String>)

@JvmName(name = "auhekxcgnnkdqrba")

suspend fun advancedSettings(value: String?)

amsGradient

@JvmName(name = "qeopuvljxcbccytd")

suspend fun amsGradient(value: Output<Boolean>)

@JvmName(name = "pnobrkfsirqckppu")

suspend fun amsGradient(value: Boolean?)

augmentations

@JvmName(name = "qlikfhwdcqrytqlv")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "uorcxvpklepxreab")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "pxljymvynpwnoakx")

suspend fun beta1(value: Output<Double>)

@JvmName(name = "jwsalwuxdhlrbdsx")

suspend fun beta1(value: Double?)

beta2

@JvmName(name = "xrlmnqjmpbpqqvpi")

suspend fun beta2(value: Output<Double>)

@JvmName(name = "auyiymddeenfhbse")

suspend fun beta2(value: Double?)

checkpointFrequency

@JvmName(name = "atavkbhgdldffdwg")

suspend fun checkpointFrequency(value: Output<Int>)

@JvmName(name = "cnmmsboanuricvlo")

suspend fun checkpointFrequency(value: Int?)

checkpointModel

@JvmName(name = "hiddbkrkkdhudcup")

suspend fun checkpointModel(value: MLFlowModelJobInputArgs?)

@JvmName(name = "acskthyasnnwjptu")

suspend fun checkpointModel(value: Output<MLFlowModelJobInputArgs>)

@JvmName(name = "biocrqucutihavxs")

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

checkpointRunId

@JvmName(name = "prpoxnucsrntbfqb")

suspend fun checkpointRunId(value: Output<String>)

@JvmName(name = "jtxrgpdhcjdtarak")

suspend fun checkpointRunId(value: String?)

distributed

@JvmName(name = "iefknnctgouoeivl")

suspend fun distributed(value: Output<Boolean>)

@JvmName(name = "ykavyxegojwlthib")

suspend fun distributed(value: Boolean?)

earlyStopping

@JvmName(name = "ntskjnboghdespei")

suspend fun earlyStopping(value: Output<Boolean>)

@JvmName(name = "vfjemokdrayrgikm")

suspend fun earlyStopping(value: Boolean?)

earlyStoppingDelay

@JvmName(name = "vtscykkjjebvsfhi")

suspend fun earlyStoppingDelay(value: Output<Int>)

@JvmName(name = "ukpnbdpxswoysyyu")

suspend fun earlyStoppingDelay(value: Int?)

earlyStoppingPatience

@JvmName(name = "wdyqnocecenxgodx")

suspend fun earlyStoppingPatience(value: Output<Int>)

@JvmName(name = "frskrlercucjxeic")

suspend fun earlyStoppingPatience(value: Int?)

enableOnnxNormalization

@JvmName(name = "hkmuwueuchrallpv")

suspend fun enableOnnxNormalization(value: Output<Boolean>)

@JvmName(name = "pvvlcpuyyoudssvd")

suspend fun enableOnnxNormalization(value: Boolean?)

evaluationFrequency

@JvmName(name = "prmxducckoihxgrt")

suspend fun evaluationFrequency(value: Output<Int>)

@JvmName(name = "gylwllgebwwhdyob")

suspend fun evaluationFrequency(value: Int?)

gradientAccumulationStep

@JvmName(name = "ryrqmanidamtgdcb")

suspend fun gradientAccumulationStep(value: Output<Int>)

@JvmName(name = "lyhjwjhiusdnmlnd")

suspend fun gradientAccumulationStep(value: Int?)

layersToFreeze

@JvmName(name = "xmdbsofimccocrvx")

suspend fun layersToFreeze(value: Output<Int>)

@JvmName(name = "hcvedavloqdoondt")

suspend fun layersToFreeze(value: Int?)

learningRate

@JvmName(name = "ytyfavmcxvbnvjrt")

suspend fun learningRate(value: Output<Double>)

@JvmName(name = "hkmfakntbcicqgnw")

suspend fun learningRate(value: Double?)

learningRateScheduler

@JvmName(name = "ixhfvvyxeaxsplrf")

fun learningRateScheduler(value: LearningRateScheduler)

@JvmName(name = "ncepydmqcxojyrix")

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

@JvmName(name = "pipljecmdliimdad")

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

@JvmName(name = "vastdfvhrcwcydqq")

fun learningRateScheduler(value: String)

modelName

@JvmName(name = "odqtkefufkoxpncf")

suspend fun modelName(value: Output<String>)

@JvmName(name = "kddqmtfomnsxapee")

suspend fun modelName(value: String?)

momentum

@JvmName(name = "ouxemedgbrprbjxc")

suspend fun momentum(value: Output<Double>)

@JvmName(name = "amircfeqpiovqbvp")

suspend fun momentum(value: Double?)

nesterov

@JvmName(name = "naluyadltwrasdim")

suspend fun nesterov(value: Output<Boolean>)

@JvmName(name = "pwjwihobbhyiulat")

suspend fun nesterov(value: Boolean?)

numberOfEpochs

@JvmName(name = "apvjwdsdhkcwlfsa")

suspend fun numberOfEpochs(value: Output<Int>)

@JvmName(name = "wfeimjnaxnlbghqh")

suspend fun numberOfEpochs(value: Int?)

numberOfWorkers

@JvmName(name = "ililxaidhjuowcgw")

suspend fun numberOfWorkers(value: Output<Int>)

@JvmName(name = "fvuggbjcixhgdbgr")

suspend fun numberOfWorkers(value: Int?)

optimizer

@JvmName(name = "jrmfsgnwipxgiyaw")

fun optimizer(value: StochasticOptimizer)

@JvmName(name = "vkwhpfaundsuqrqt")

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

@JvmName(name = "svmewcsyqojtodwu")

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

@JvmName(name = "anobeupitttdetbj")

fun optimizer(value: String)

randomSeed

@JvmName(name = "swufqjunvvcfcmpg")

suspend fun randomSeed(value: Output<Int>)

@JvmName(name = "gsbygrgpsuwoyrma")

suspend fun randomSeed(value: Int?)

stepLRGamma

@JvmName(name = "bfwlefmqltsmbacy")

suspend fun stepLRGamma(value: Output<Double>)

@JvmName(name = "ktcnpwyotjjayslf")

suspend fun stepLRGamma(value: Double?)

stepLRStepSize

@JvmName(name = "wtfedgifmfiiyykl")

suspend fun stepLRStepSize(value: Output<Int>)

@JvmName(name = "pycqbgqjtjiemhco")

suspend fun stepLRStepSize(value: Int?)

trainingBatchSize

@JvmName(name = "cayhmhrrpgkarjqt")

suspend fun trainingBatchSize(value: Output<Int>)

@JvmName(name = "vvsffixgqiwcbnms")

suspend fun trainingBatchSize(value: Int?)

trainingCropSize

@JvmName(name = "lppaxcveprpyqvfg")

suspend fun trainingCropSize(value: Output<Int>)

@JvmName(name = "blphvbyedegycnps")

suspend fun trainingCropSize(value: Int?)

validationBatchSize

@JvmName(name = "nqfpfqjkayxociri")

suspend fun validationBatchSize(value: Output<Int>)

@JvmName(name = "wragkfwppykpnycm")

suspend fun validationBatchSize(value: Int?)

validationCropSize

@JvmName(name = "cluyhlcwtrupfqfa")

suspend fun validationCropSize(value: Output<Int>)

@JvmName(name = "bnxwkgeckyjafqct")

suspend fun validationCropSize(value: Int?)

validationResizeSize

@JvmName(name = "skxjwjshbhjtgrrl")

suspend fun validationResizeSize(value: Output<Int>)

@JvmName(name = "qfpcsuefqwqurvsw")

suspend fun validationResizeSize(value: Int?)

warmupCosineLRCycles

@JvmName(name = "bklkjdyxatrjechq")

suspend fun warmupCosineLRCycles(value: Output<Double>)

@JvmName(name = "kxwvxejwuhoxwbqc")

suspend fun warmupCosineLRCycles(value: Double?)

warmupCosineLRWarmupEpochs

@JvmName(name = "rrpgcfkfhadovjsk")

suspend fun warmupCosineLRWarmupEpochs(value: Output<Int>)

@JvmName(name = "xpbgbbmdtfiwrlqx")

suspend fun warmupCosineLRWarmupEpochs(value: Int?)

weightDecay

@JvmName(name = "onqgdcqwfseteild")

suspend fun weightDecay(value: Output<Double>)

@JvmName(name = "yyrtvgrfgxrdjjqq")

suspend fun weightDecay(value: Double?)

weightedLoss

@JvmName(name = "yxatswddvgejbhoi")

suspend fun weightedLoss(value: Output<Int>)

@JvmName(name = "gwwjvwuhvgxpcrkq")

suspend fun weightedLoss(value: Int?)