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

RegressionArgsBuilder

class RegressionArgsBuilder

Builder for RegressionArgs.

Functions

cvSplitColumnNames

@JvmName(name = "bwfiisyyhwgyhqxc")

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

@JvmName(name = "xguepwjfjepsoebn")

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

@JvmName(name = "mhthggqgaicyrunn")

suspend fun cvSplitColumnNames(vararg values: String)

@JvmName(name = "oihpdoogiqyveqaq")

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

@JvmName(name = "fpdegtpsplrnfspd")

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

featurizationSettings

@JvmName(name = "bjwgaeyncrdgfxwu")

suspend fun featurizationSettings(value: TableVerticalFeaturizationSettingsArgs?)

@JvmName(name = "bwgxvkuploewltar")

suspend fun featurizationSettings(value: Output<TableVerticalFeaturizationSettingsArgs>)

@JvmName(name = "fbxvltmjgtmboerw")

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

limitSettings

@JvmName(name = "xyaodpmwiimaeyxb")

suspend fun limitSettings(value: TableVerticalLimitSettingsArgs?)

@JvmName(name = "gljnragegwmqpweo")

suspend fun limitSettings(value: Output<TableVerticalLimitSettingsArgs>)

@JvmName(name = "sfwqxfkisjfxclrt")

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

logVerbosity

@JvmName(name = "qgqkxyhlkouflnos")

fun logVerbosity(value: LogVerbosity)

@JvmName(name = "eoksprcrvsxvkemi")

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

@JvmName(name = "btoggpwpiqlkjggx")

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

@JvmName(name = "kwxhybclutwbteas")

fun logVerbosity(value: String)

nCrossValidations

@JvmName(name = "xwbiooaosvmlumbo")

fun nCrossValidations(value: AutoNCrossValidationsArgs)

@JvmName(name = "qxrjrtkbmdkfghdm")

fun nCrossValidations(value: CustomNCrossValidationsArgs)

@JvmName(name = "goyvfvmuuwwnvsca")

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

@JvmName(name = "mjoakkqvlmqkmlrm")

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

primaryMetric

@JvmName(name = "hpcruatudjvqyuxn")

fun primaryMetric(value: RegressionPrimaryMetrics)

@JvmName(name = "pslmqnqcgwnokkrf")

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

@JvmName(name = "jpswpmfunugbkjdm")

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

@JvmName(name = "qygbhflkurenbqfo")

fun primaryMetric(value: String)

targetColumnName

@JvmName(name = "pfexnhwyykkmkdjm")

suspend fun targetColumnName(value: Output<String>)

@JvmName(name = "ljtexvqhfeicrpkc")

suspend fun targetColumnName(value: String?)

taskType

@JvmName(name = "tuddcshqvmmlvtfe")

suspend fun taskType(value: Output<String>)

@JvmName(name = "mamramigatyjvrxk")

suspend fun taskType(value: String)

testData

@JvmName(name = "okcvgukhasduvjtk")

suspend fun testData(value: MLTableJobInputArgs?)

@JvmName(name = "gqrrhndfeyuosvpo")

suspend fun testData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "taxtxgxynthocgps")

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

testDataSize

@JvmName(name = "vnrpaivoogviupgs")

suspend fun testDataSize(value: Output<Double>)

@JvmName(name = "vvoivewyajifqmfe")

suspend fun testDataSize(value: Double?)

trainingData

@JvmName(name = "pxerifopkvjcpcep")

suspend fun trainingData(value: MLTableJobInputArgs)

@JvmName(name = "nwovuwbytaxyqhbf")

suspend fun trainingData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "evbgcorrdptdcaak")

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

trainingSettings

@JvmName(name = "ankfbqrreenfdwhk")

suspend fun trainingSettings(value: RegressionTrainingSettingsArgs?)

@JvmName(name = "tppnaycqsgirklwv")

suspend fun trainingSettings(value: Output<RegressionTrainingSettingsArgs>)

@JvmName(name = "klgcogqnlkgygrbs")

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

validationData

@JvmName(name = "tickbshgmsydyuvb")

suspend fun validationData(value: MLTableJobInputArgs?)

@JvmName(name = "gxkjcsllpulshywf")

suspend fun validationData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "bwckmvwippwqrmck")

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

validationDataSize

@JvmName(name = "kqhlbcajsgsdmskb")

suspend fun validationDataSize(value: Output<Double>)

@JvmName(name = "bxnqkufqqbwrhmuq")

suspend fun validationDataSize(value: Double?)

weightColumnName

@JvmName(name = "vegifvuciicilwlj")

suspend fun weightColumnName(value: Output<String>)

@JvmName(name = "seccvgtcqoaadjdk")

suspend fun weightColumnName(value: String?)