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

RegressionArgsBuilder

class RegressionArgsBuilder

Builder for RegressionArgs.

Functions

cvSplitColumnNames

@JvmName(name = "pcctcghtfbylnosi")

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

@JvmName(name = "elcrancnnvsoovoo")

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

@JvmName(name = "sxrseellmgwwepul")

suspend fun cvSplitColumnNames(vararg values: String)

@JvmName(name = "oorlekpajhquxmgq")

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

@JvmName(name = "ylvvrpgwkrvpcqfj")

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

featurizationSettings

@JvmName(name = "xhptewmbvgpirald")

suspend fun featurizationSettings(value: TableVerticalFeaturizationSettingsArgs?)

@JvmName(name = "lirpkguwsdewcomi")

suspend fun featurizationSettings(value: Output<TableVerticalFeaturizationSettingsArgs>)

@JvmName(name = "vqguhxvcmbphkkps")

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

limitSettings

@JvmName(name = "owpwgwxqthkdgqnh")

suspend fun limitSettings(value: TableVerticalLimitSettingsArgs?)

@JvmName(name = "aicbjjmpcmpsgcss")

suspend fun limitSettings(value: Output<TableVerticalLimitSettingsArgs>)

@JvmName(name = "shvsyspqbthomeyk")

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

logVerbosity

@JvmName(name = "iigsdmqrhggvgyey")

fun logVerbosity(value: LogVerbosity)

@JvmName(name = "cwlmvajyptcdsidd")

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

@JvmName(name = "uybtuqpehgbiuoec")

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

@JvmName(name = "aajcewpfbhvelmec")

fun logVerbosity(value: String)

nCrossValidations

@JvmName(name = "ocbbaxjtllvsonnr")

fun nCrossValidations(value: AutoNCrossValidationsArgs)

@JvmName(name = "jkeifcpnbtlixvab")

fun nCrossValidations(value: CustomNCrossValidationsArgs)

@JvmName(name = "jrgbrsktblcgernl")

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

@JvmName(name = "xsyrulyvinpfuwom")

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

primaryMetric

@JvmName(name = "ucvvcjhudqvatdnp")

fun primaryMetric(value: RegressionPrimaryMetrics)

@JvmName(name = "ptfwebopkvtebyjy")

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

@JvmName(name = "mapdybppgfslaurj")

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

@JvmName(name = "vdcpinounwebckyb")

fun primaryMetric(value: String)

targetColumnName

@JvmName(name = "etdbsmjtxqcfnmfx")

suspend fun targetColumnName(value: Output<String>)

@JvmName(name = "pyycowuymiqrktqh")

suspend fun targetColumnName(value: String?)

taskType

@JvmName(name = "qqkeywmpohxrvmdb")

suspend fun taskType(value: Output<String>)

@JvmName(name = "cxehanjjgnpgxmnd")

suspend fun taskType(value: String)

testData

@JvmName(name = "leyytxbfuxscllol")

suspend fun testData(value: MLTableJobInputArgs?)

@JvmName(name = "ipnltrmefhqpcmof")

suspend fun testData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "cojuykhekudpqmvm")

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

testDataSize

@JvmName(name = "rlmgdtcfvyjbfxuo")

suspend fun testDataSize(value: Output<Double>)

@JvmName(name = "wuoiaovpewhdhsuv")

suspend fun testDataSize(value: Double?)

trainingData

@JvmName(name = "twsojudpvvnfucor")

suspend fun trainingData(value: MLTableJobInputArgs)

@JvmName(name = "xxgbqduuqkoefrvx")

suspend fun trainingData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "qhxmgefiafkvntpt")

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

trainingSettings

@JvmName(name = "lmylghrwiynsobys")

suspend fun trainingSettings(value: RegressionTrainingSettingsArgs?)

@JvmName(name = "wutpruwvvfiymuxj")

suspend fun trainingSettings(value: Output<RegressionTrainingSettingsArgs>)

@JvmName(name = "udmadgrakmiphhec")

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

validationData

@JvmName(name = "jhignpnyrhktkphe")

suspend fun validationData(value: MLTableJobInputArgs?)

@JvmName(name = "onnvjwklyofurcvp")

suspend fun validationData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "yfwilnighworxxrg")

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

validationDataSize

@JvmName(name = "doergqtwdebrionv")

suspend fun validationDataSize(value: Output<Double>)

@JvmName(name = "bfylbfsktinubksf")

suspend fun validationDataSize(value: Double?)

weightColumnName

@JvmName(name = "fpkbhgtlllwdrnkm")

suspend fun weightColumnName(value: Output<String>)

@JvmName(name = "ubiydshtlaawvrcx")

suspend fun weightColumnName(value: String?)