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

RegressionArgsBuilder

class RegressionArgsBuilder

Builder for RegressionArgs.

Functions

cvSplitColumnNames

@JvmName(name = "okqmyifrqbfmfhlj")

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

@JvmName(name = "oadwvsuddfoedsmy")

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

@JvmName(name = "kseowqhyalpmcanr")

suspend fun cvSplitColumnNames(vararg values: String)

@JvmName(name = "hckbsrrtqymbwsfv")

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

@JvmName(name = "saumguwtosamggod")

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

featurizationSettings

@JvmName(name = "otdxsblhobibkcnx")

suspend fun featurizationSettings(value: TableVerticalFeaturizationSettingsArgs?)

@JvmName(name = "lrpfeiljakostlix")

suspend fun featurizationSettings(value: Output<TableVerticalFeaturizationSettingsArgs>)

@JvmName(name = "vcumpleqjajugmqx")

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

limitSettings

@JvmName(name = "bemsdkondbglkckk")

suspend fun limitSettings(value: TableVerticalLimitSettingsArgs?)

@JvmName(name = "hlyrbjsllpctsucu")

suspend fun limitSettings(value: Output<TableVerticalLimitSettingsArgs>)

@JvmName(name = "sgnjrvwvylisphki")

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

logVerbosity

@JvmName(name = "ykrsmymsjulwioll")

fun logVerbosity(value: LogVerbosity)

@JvmName(name = "sbdxdaxhpknserly")

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

@JvmName(name = "gygbywxidccmkrsl")

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

@JvmName(name = "hqxqcvkhrpxebymv")

fun logVerbosity(value: String)

nCrossValidations

@JvmName(name = "xjndlculpwssjugw")

fun nCrossValidations(value: AutoNCrossValidationsArgs)

@JvmName(name = "neobaaihgkmxtqes")

fun nCrossValidations(value: CustomNCrossValidationsArgs)

@JvmName(name = "aaltxvrdwsmxbrtl")

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

@JvmName(name = "fkmfrntdquqogsep")

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

primaryMetric

@JvmName(name = "almjvufueyvcdawa")

fun primaryMetric(value: RegressionPrimaryMetrics)

@JvmName(name = "hnjfsdkeqtuearqb")

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

@JvmName(name = "bqoujqpluorttsny")

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

@JvmName(name = "agyhqdxuiksyfdxm")

fun primaryMetric(value: String)

targetColumnName

@JvmName(name = "qgtjbmklmpqrrmnw")

suspend fun targetColumnName(value: Output<String>)

@JvmName(name = "vfpysussrcpesxqb")

suspend fun targetColumnName(value: String?)

taskType

@JvmName(name = "ylvksggluwshttnc")

suspend fun taskType(value: Output<String>)

@JvmName(name = "exrqykionqofevhq")

suspend fun taskType(value: String)

testData

@JvmName(name = "ettnscclxufjbamr")

suspend fun testData(value: MLTableJobInputArgs?)

@JvmName(name = "hkitefaewatjwnmq")

suspend fun testData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "ysgneiuuxmdqegtc")

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

testDataSize

@JvmName(name = "cjnismcuniiajtsj")

suspend fun testDataSize(value: Output<Double>)

@JvmName(name = "ucniksoysetxijbq")

suspend fun testDataSize(value: Double?)

trainingData

@JvmName(name = "xpvvkyaqvrbsatch")

suspend fun trainingData(value: MLTableJobInputArgs)

@JvmName(name = "wurfuhihsfysmoiy")

suspend fun trainingData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "cxvyrdewawixrlaf")

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

trainingSettings

@JvmName(name = "ojnawvoqyyhwshai")

suspend fun trainingSettings(value: RegressionTrainingSettingsArgs?)

@JvmName(name = "uiynccpnsewstslf")

suspend fun trainingSettings(value: Output<RegressionTrainingSettingsArgs>)

@JvmName(name = "qspkmqagacgkiwue")

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

validationData

@JvmName(name = "fxjbfjourvhblvrk")

suspend fun validationData(value: MLTableJobInputArgs?)

@JvmName(name = "dqnqkqjyhtmikliu")

suspend fun validationData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "jvcsamusljneurrl")

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

validationDataSize

@JvmName(name = "mtcdsshvietnvjyk")

suspend fun validationDataSize(value: Output<Double>)

@JvmName(name = "wvocyackmnrufyfa")

suspend fun validationDataSize(value: Double?)

weightColumnName

@JvmName(name = "mxynncnbbygjasaw")

suspend fun weightColumnName(value: Output<String>)

@JvmName(name = "pkyqdrxtoklwewsy")

suspend fun weightColumnName(value: String?)