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

RegressionArgsBuilder

class RegressionArgsBuilder

Builder for RegressionArgs.

Functions

cvSplitColumnNames

@JvmName(name = "lrtymlubedlbjetx")

suspend fun cvSplitColumnNames(value: Output<List<String>>)

@JvmName(name = "ajvigiljoblrxeqf")

suspend fun cvSplitColumnNames(vararg values: Output<String>)

@JvmName(name = "ghxvuvjheypebiad")

suspend fun cvSplitColumnNames(vararg values: String)

@JvmName(name = "wxmxpljlcofeagkf")

suspend fun cvSplitColumnNames(values: List<Output<String>>)

@JvmName(name = "slqmnmwbuuamrhpc")

suspend fun cvSplitColumnNames(value: List<String>?)

featurizationSettings

@JvmName(name = "lclsktuufgktlyfr")

suspend fun featurizationSettings(value: TableVerticalFeaturizationSettingsArgs?)

@JvmName(name = "mxdgighfgmmhaxcm")

suspend fun featurizationSettings(value: Output<TableVerticalFeaturizationSettingsArgs>)

@JvmName(name = "xlwkahjlctoydicc")

suspend fun featurizationSettings(argument: suspend TableVerticalFeaturizationSettingsArgsBuilder.() -> Unit)

limitSettings

@JvmName(name = "bcyomwjtvehpsdqv")

suspend fun limitSettings(value: TableVerticalLimitSettingsArgs?)

@JvmName(name = "hkhpstdrpaxeqoud")

suspend fun limitSettings(value: Output<TableVerticalLimitSettingsArgs>)

@JvmName(name = "bliirpotajafqqim")

suspend fun limitSettings(argument: suspend TableVerticalLimitSettingsArgsBuilder.() -> Unit)

logVerbosity

@JvmName(name = "wdveixmveplvkmjp")

fun logVerbosity(value: LogVerbosity)

@JvmName(name = "eurcxymuurdugxgr")

suspend fun logVerbosity(value: Either<String, LogVerbosity>?)

@JvmName(name = "dfuwfacnojtpodog")

suspend fun logVerbosity(value: Output<Either<String, LogVerbosity>>)

@JvmName(name = "tcknsmjhyuchutue")

fun logVerbosity(value: String)

nCrossValidations

@JvmName(name = "moobrppcbhswqits")

fun nCrossValidations(value: AutoNCrossValidationsArgs)

@JvmName(name = "wwyeiersycrdfikm")

fun nCrossValidations(value: CustomNCrossValidationsArgs)

@JvmName(name = "rutwgnbqpejavwfi")

suspend fun nCrossValidations(value: Either<AutoNCrossValidationsArgs, CustomNCrossValidationsArgs>?)

@JvmName(name = "lpuhvdcdoosrkunb")

suspend fun nCrossValidations(value: Output<Either<AutoNCrossValidationsArgs, CustomNCrossValidationsArgs>>)

primaryMetric

@JvmName(name = "oirrefcrunrvdnjd")

fun primaryMetric(value: RegressionPrimaryMetrics)

@JvmName(name = "ybccdjjbavyauhtq")

suspend fun primaryMetric(value: Either<String, RegressionPrimaryMetrics>?)

@JvmName(name = "msqelmikfglimxke")

suspend fun primaryMetric(value: Output<Either<String, RegressionPrimaryMetrics>>)

@JvmName(name = "fqxsmohurahmtefo")

fun primaryMetric(value: String)

targetColumnName

@JvmName(name = "cjahbbjhjdtalvmk")

suspend fun targetColumnName(value: Output<String>)

@JvmName(name = "ocyjyubqamdrynrh")

suspend fun targetColumnName(value: String?)

taskType

@JvmName(name = "mesvimacmwpqrdau")

suspend fun taskType(value: Output<String>)

@JvmName(name = "yinvamusrjgcdtuw")

suspend fun taskType(value: String)

testData

@JvmName(name = "sxnmhycrixgdcgmo")

suspend fun testData(value: MLTableJobInputArgs?)

@JvmName(name = "mxscddhgvqwlvgwl")

suspend fun testData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "pjmnqxhoossjfija")

suspend fun testData(argument: suspend MLTableJobInputArgsBuilder.() -> Unit)

testDataSize

@JvmName(name = "libhpbmpxxejrjkq")

suspend fun testDataSize(value: Output<Double>)

@JvmName(name = "teuptvkkncbtpbpq")

suspend fun testDataSize(value: Double?)

trainingData

@JvmName(name = "lhjkowbacrodbvse")

suspend fun trainingData(value: MLTableJobInputArgs)

@JvmName(name = "ldnptqhhjhoxdcpm")

suspend fun trainingData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "nnneyevrlmhllyyt")

suspend fun trainingData(argument: suspend MLTableJobInputArgsBuilder.() -> Unit)

trainingSettings

@JvmName(name = "vrgseiicflfjhqto")

suspend fun trainingSettings(value: RegressionTrainingSettingsArgs?)

@JvmName(name = "dvlrdogkwwhoykwc")

suspend fun trainingSettings(value: Output<RegressionTrainingSettingsArgs>)

@JvmName(name = "pgpqiwfqxjrtxxut")

suspend fun trainingSettings(argument: suspend RegressionTrainingSettingsArgsBuilder.() -> Unit)

validationData

@JvmName(name = "jeepkghyssdwnjxn")

suspend fun validationData(value: MLTableJobInputArgs?)

@JvmName(name = "kptpwyvfjkgtrlwx")

suspend fun validationData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "uplicqxqwipsarqd")

suspend fun validationData(argument: suspend MLTableJobInputArgsBuilder.() -> Unit)

validationDataSize

@JvmName(name = "ppkmvalsljwbuhkn")

suspend fun validationDataSize(value: Output<Double>)

@JvmName(name = "ciiskiydgsbtlawh")

suspend fun validationDataSize(value: Double?)

weightColumnName

@JvmName(name = "llhjdgdbxnsflkbq")

suspend fun weightColumnName(value: Output<String>)

@JvmName(name = "oajhflmrckxytkwx")

suspend fun weightColumnName(value: String?)