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

RegressionArgsBuilder

class RegressionArgsBuilder

Builder for RegressionArgs.

Functions

cvSplitColumnNames

@JvmName(name = "nsyixjloaysydmwa")

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

@JvmName(name = "enhlpjgdaugbbejt")

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

@JvmName(name = "hdrjyxidkubfjuip")

suspend fun cvSplitColumnNames(vararg values: String)

@JvmName(name = "cvtrjbjinmwgxghh")

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

@JvmName(name = "irbftwignwxqgoxe")

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

featurizationSettings

@JvmName(name = "jqkaxmhqtqcnvedx")

suspend fun featurizationSettings(value: TableVerticalFeaturizationSettingsArgs?)

@JvmName(name = "iidinxtrjseckhll")

suspend fun featurizationSettings(value: Output<TableVerticalFeaturizationSettingsArgs>)

@JvmName(name = "qowagvxkeokckxek")

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

limitSettings

@JvmName(name = "deatsxyctwxskhgr")

suspend fun limitSettings(value: TableVerticalLimitSettingsArgs?)

@JvmName(name = "mibujkfphgkukwuw")

suspend fun limitSettings(value: Output<TableVerticalLimitSettingsArgs>)

@JvmName(name = "uwmqgystibjkxebp")

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

logVerbosity

@JvmName(name = "uwjqkgfelbqpslah")

fun logVerbosity(value: LogVerbosity)

@JvmName(name = "fulcmprlpxkpitnm")

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

@JvmName(name = "wpcsocdhacnkagyg")

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

@JvmName(name = "wfvwqqlfxifmlyoi")

fun logVerbosity(value: String)

nCrossValidations

@JvmName(name = "tlbomtycledwqywi")

fun nCrossValidations(value: AutoNCrossValidationsArgs)

@JvmName(name = "odyrcabbmwgyboqq")

fun nCrossValidations(value: CustomNCrossValidationsArgs)

@JvmName(name = "grwktbucickweilx")

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

@JvmName(name = "chvofrdoqtebtmtw")

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

primaryMetric

@JvmName(name = "smvpmtqlrybwoyhn")

fun primaryMetric(value: RegressionPrimaryMetrics)

@JvmName(name = "soiokoheeqbapfuw")

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

@JvmName(name = "ywhdubdlvfikwwxd")

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

@JvmName(name = "ftlnetqstfvhxqdo")

fun primaryMetric(value: String)

targetColumnName

@JvmName(name = "cccdvnfbxxwcgxsf")

suspend fun targetColumnName(value: Output<String>)

@JvmName(name = "pripoctouohqqevy")

suspend fun targetColumnName(value: String?)

taskType

@JvmName(name = "fttgiwyyocmwtgsa")

suspend fun taskType(value: Output<String>)

@JvmName(name = "onsgqnswhupedrgc")

suspend fun taskType(value: String)

testData

@JvmName(name = "extlpguiajitebla")

suspend fun testData(value: MLTableJobInputArgs?)

@JvmName(name = "ellivqhowrtayrjg")

suspend fun testData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "hiyckwwjvoxrqvuv")

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

testDataSize

@JvmName(name = "difxyvphelxspgds")

suspend fun testDataSize(value: Output<Double>)

@JvmName(name = "qeirbilnbukoohig")

suspend fun testDataSize(value: Double?)

trainingData

@JvmName(name = "lnlwjhtttcadlpkj")

suspend fun trainingData(value: MLTableJobInputArgs)

@JvmName(name = "qpoeyuvkxsfvylan")

suspend fun trainingData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "hshoxnxknagrsxpv")

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

trainingSettings

@JvmName(name = "jsfibuausjnhxywh")

suspend fun trainingSettings(value: RegressionTrainingSettingsArgs?)

@JvmName(name = "ctsnudskgvmhqndu")

suspend fun trainingSettings(value: Output<RegressionTrainingSettingsArgs>)

@JvmName(name = "eqhjkbgpmndhilmr")

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

validationData

@JvmName(name = "hrdhigchjbxbaljh")

suspend fun validationData(value: MLTableJobInputArgs?)

@JvmName(name = "sgwvgsloyeckbfei")

suspend fun validationData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "wibtivvlamvpbiej")

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

validationDataSize

@JvmName(name = "ygdhmhpnsjfpwhvo")

suspend fun validationDataSize(value: Output<Double>)

@JvmName(name = "cggtwfngjpaqrndx")

suspend fun validationDataSize(value: Double?)

weightColumnName

@JvmName(name = "dexrhqhxsxmytnuv")

suspend fun weightColumnName(value: Output<String>)

@JvmName(name = "brthijvtlauwcqmg")

suspend fun weightColumnName(value: String?)