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

ImageModelDistributionSettingsObjectDetectionArgsBuilder

class ImageModelDistributionSettingsObjectDetectionArgsBuilder

Builder for ImageModelDistributionSettingsObjectDetectionArgs.

Functions

amsGradient

@JvmName(name = "pibrtjhvwfbsubpm")

suspend fun amsGradient(value: Output<String>)

@JvmName(name = "daosvqbymgjocxux")

suspend fun amsGradient(value: String?)

augmentations

@JvmName(name = "tnrxsymgrtiheuqj")

suspend fun augmentations(value: Output<String>)

@JvmName(name = "pkaqmsotbbdgesrl")

suspend fun augmentations(value: String?)

beta1

@JvmName(name = "virocipndncskjhf")

suspend fun beta1(value: Output<String>)

@JvmName(name = "dlmjpdmnalfkcvog")

suspend fun beta1(value: String?)

beta2

@JvmName(name = "kcjkcaeijenqdtpm")

suspend fun beta2(value: Output<String>)

@JvmName(name = "uvhidvhkgjprpxgx")

suspend fun beta2(value: String?)

boxDetectionsPerImage

@JvmName(name = "ehiusvtdpcmxbgql")

suspend fun boxDetectionsPerImage(value: Output<String>)

@JvmName(name = "rvosivmxjfubxacs")

suspend fun boxDetectionsPerImage(value: String?)

boxScoreThreshold

@JvmName(name = "gijfukavlwrsegok")

suspend fun boxScoreThreshold(value: Output<String>)

@JvmName(name = "prfxbptmfpivenuv")

suspend fun boxScoreThreshold(value: String?)

distributed

@JvmName(name = "vcakvnipxjsclgvr")

suspend fun distributed(value: Output<String>)

@JvmName(name = "doskggyoubgpkpou")

suspend fun distributed(value: String?)

earlyStopping

@JvmName(name = "twtaunjdcqtwducp")

suspend fun earlyStopping(value: Output<String>)

@JvmName(name = "fateraxiqfwrprsa")

suspend fun earlyStopping(value: String?)

earlyStoppingDelay

@JvmName(name = "hkejedygiyufidqm")

suspend fun earlyStoppingDelay(value: Output<String>)

@JvmName(name = "geloaxrqghdbvopj")

suspend fun earlyStoppingDelay(value: String?)

earlyStoppingPatience

@JvmName(name = "xenttkmgkomydbwd")

suspend fun earlyStoppingPatience(value: Output<String>)

@JvmName(name = "aogirjhjybryxieb")

suspend fun earlyStoppingPatience(value: String?)

enableOnnxNormalization

@JvmName(name = "kodambxuffagonxn")

suspend fun enableOnnxNormalization(value: Output<String>)

@JvmName(name = "hvfallkjyeirajku")

suspend fun enableOnnxNormalization(value: String?)

evaluationFrequency

@JvmName(name = "sdtnuqhnitllxjhf")

suspend fun evaluationFrequency(value: Output<String>)

@JvmName(name = "tdcbimoaqbexhvhd")

suspend fun evaluationFrequency(value: String?)

gradientAccumulationStep

@JvmName(name = "dnrhgfxdsoqqmllo")

suspend fun gradientAccumulationStep(value: Output<String>)

@JvmName(name = "dlkeahdrwbjiqbxb")

suspend fun gradientAccumulationStep(value: String?)

imageSize

@JvmName(name = "fgdfququmfoupnkg")

suspend fun imageSize(value: Output<String>)

@JvmName(name = "qprdntdefsvryutj")

suspend fun imageSize(value: String?)

layersToFreeze

@JvmName(name = "edjnjivnwwqfleyf")

suspend fun layersToFreeze(value: Output<String>)

@JvmName(name = "cuyplgsmvvlidiyk")

suspend fun layersToFreeze(value: String?)

learningRate

@JvmName(name = "eqtqlblvxnmgnqdh")

suspend fun learningRate(value: Output<String>)

@JvmName(name = "mmehxrqmhjsmcxoe")

suspend fun learningRate(value: String?)

learningRateScheduler

@JvmName(name = "udsmfxquymfvtvqs")

suspend fun learningRateScheduler(value: Output<String>)

@JvmName(name = "legbmfsdxmlaunmv")

suspend fun learningRateScheduler(value: String?)

maxSize

@JvmName(name = "vvshuspsrfccvvfs")

suspend fun maxSize(value: Output<String>)

@JvmName(name = "wbvosnexhpcfuswi")

suspend fun maxSize(value: String?)

minSize

@JvmName(name = "pafopmpbsnlsemcq")

suspend fun minSize(value: Output<String>)

@JvmName(name = "uirsrvaishvaykhk")

suspend fun minSize(value: String?)

modelName

@JvmName(name = "wlydthosvlxdrhnj")

suspend fun modelName(value: Output<String>)

@JvmName(name = "cqxesjhpvmncnbmx")

suspend fun modelName(value: String?)

modelSize

@JvmName(name = "vpdokyqugnrqmtos")

suspend fun modelSize(value: Output<String>)

@JvmName(name = "haoexqtdbxehwbiw")

suspend fun modelSize(value: String?)

momentum

@JvmName(name = "ilkkvitfmblivwil")

suspend fun momentum(value: Output<String>)

@JvmName(name = "vwqqctlfdewjhvqq")

suspend fun momentum(value: String?)

multiScale

@JvmName(name = "dxgwacmvybggqtug")

suspend fun multiScale(value: Output<String>)

@JvmName(name = "tvcqogpogvqasnaj")

suspend fun multiScale(value: String?)

nesterov

@JvmName(name = "ynqkdogqtfvdyomm")

suspend fun nesterov(value: Output<String>)

@JvmName(name = "emqmayhtyxsxpnsb")

suspend fun nesterov(value: String?)

nmsIouThreshold

@JvmName(name = "ydptuosqpdfrswsw")

suspend fun nmsIouThreshold(value: Output<String>)

@JvmName(name = "kxkylmxamocuppmn")

suspend fun nmsIouThreshold(value: String?)

numberOfEpochs

@JvmName(name = "gmxufmwclnqsispg")

suspend fun numberOfEpochs(value: Output<String>)

@JvmName(name = "oobuvnewtyfjkvjm")

suspend fun numberOfEpochs(value: String?)

numberOfWorkers

@JvmName(name = "nrldrkwhtnahafhp")

suspend fun numberOfWorkers(value: Output<String>)

@JvmName(name = "noilcovfwtmjjcnn")

suspend fun numberOfWorkers(value: String?)

optimizer

@JvmName(name = "uwkdokalaaxoxkkc")

suspend fun optimizer(value: Output<String>)

@JvmName(name = "qhfqqjenxkiloqmp")

suspend fun optimizer(value: String?)

randomSeed

@JvmName(name = "gvvilvuunqrtxscw")

suspend fun randomSeed(value: Output<String>)

@JvmName(name = "pxqksgxpyqdrttnq")

suspend fun randomSeed(value: String?)

stepLRGamma

@JvmName(name = "ydbbycqcfjrdbqip")

suspend fun stepLRGamma(value: Output<String>)

@JvmName(name = "ymtivuydvndbrqio")

suspend fun stepLRGamma(value: String?)

stepLRStepSize

@JvmName(name = "bbubgqogbiarhtpw")

suspend fun stepLRStepSize(value: Output<String>)

@JvmName(name = "pyylonjkhajavurt")

suspend fun stepLRStepSize(value: String?)

tileGridSize

@JvmName(name = "eleldycgscenwtks")

suspend fun tileGridSize(value: Output<String>)

@JvmName(name = "xouumrtcgqjlcvmi")

suspend fun tileGridSize(value: String?)

tileOverlapRatio

@JvmName(name = "quglghybqwdugjax")

suspend fun tileOverlapRatio(value: Output<String>)

@JvmName(name = "cpkwvtwqcufbvcyt")

suspend fun tileOverlapRatio(value: String?)

tilePredictionsNmsThreshold

@JvmName(name = "pymyimxcudpufids")

suspend fun tilePredictionsNmsThreshold(value: Output<String>)

@JvmName(name = "xqnfmwlbprfvybck")

suspend fun tilePredictionsNmsThreshold(value: String?)

trainingBatchSize

@JvmName(name = "xdgpqqseeirkedmo")

suspend fun trainingBatchSize(value: Output<String>)

@JvmName(name = "biopimsdasexpddn")

suspend fun trainingBatchSize(value: String?)

validationBatchSize

@JvmName(name = "agnxkmcwyidkoubs")

suspend fun validationBatchSize(value: Output<String>)

@JvmName(name = "bxfvuwpodjegpflt")

suspend fun validationBatchSize(value: String?)

validationIouThreshold

@JvmName(name = "hbdwtnhearehoclu")

suspend fun validationIouThreshold(value: Output<String>)

@JvmName(name = "oeywkoejteboxlth")

suspend fun validationIouThreshold(value: String?)

validationMetricType

@JvmName(name = "eawxjdrlkixmupfu")

suspend fun validationMetricType(value: Output<String>)

@JvmName(name = "gvunxsdewovqnteo")

suspend fun validationMetricType(value: String?)

warmupCosineLRCycles

@JvmName(name = "hqvhdvsliddfkcvc")

suspend fun warmupCosineLRCycles(value: Output<String>)

@JvmName(name = "pbfasrxpaemsvxki")

suspend fun warmupCosineLRCycles(value: String?)

warmupCosineLRWarmupEpochs

@JvmName(name = "xlnqkwyiesfuqkik")

suspend fun warmupCosineLRWarmupEpochs(value: Output<String>)

@JvmName(name = "dlnjtsnhohwnjxny")

suspend fun warmupCosineLRWarmupEpochs(value: String?)

weightDecay

@JvmName(name = "xnyllbqedccotkkg")

suspend fun weightDecay(value: Output<String>)

@JvmName(name = "rhxkppricdxlpkka")

suspend fun weightDecay(value: String?)