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

RegressionArgsBuilder

class RegressionArgsBuilder

Builder for RegressionArgs.

Functions

cvSplitColumnNames

@JvmName(name = "rjorsoihcpythppq")

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

@JvmName(name = "cevflmvmwfeadcsk")

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

@JvmName(name = "jpslmlkgdlhjqvir")

suspend fun cvSplitColumnNames(vararg values: String)

@JvmName(name = "mjehqalypbxiculx")

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

@JvmName(name = "vncscolqmrlxhouv")

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

featurizationSettings

@JvmName(name = "kvnbeceysujlumtt")

suspend fun featurizationSettings(value: TableVerticalFeaturizationSettingsArgs?)

@JvmName(name = "uwiijkdivvpkxtpi")

suspend fun featurizationSettings(value: Output<TableVerticalFeaturizationSettingsArgs>)

@JvmName(name = "mijgrvuwoawxteyp")

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

limitSettings

@JvmName(name = "hcrogrhlemqcfnpl")

suspend fun limitSettings(value: TableVerticalLimitSettingsArgs?)

@JvmName(name = "sunigcdmbuunwnqa")

suspend fun limitSettings(value: Output<TableVerticalLimitSettingsArgs>)

@JvmName(name = "bastadagixvottfy")

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

logVerbosity

@JvmName(name = "duglsijspeehlfgb")

fun logVerbosity(value: LogVerbosity)

@JvmName(name = "fubnuhmlonovvsrs")

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

@JvmName(name = "dnvgqiwegawbiehi")

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

@JvmName(name = "eiwpmkbsxpjsmvqf")

fun logVerbosity(value: String)

nCrossValidations

@JvmName(name = "qwwgsbfvhbbxofxa")

fun nCrossValidations(value: AutoNCrossValidationsArgs)

@JvmName(name = "tpcrsuvmbmbsaxwd")

fun nCrossValidations(value: CustomNCrossValidationsArgs)

@JvmName(name = "migighlvdhplobfu")

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

@JvmName(name = "qkprpafpdavenukm")

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

primaryMetric

@JvmName(name = "pwceabdxkyvdmwkj")

fun primaryMetric(value: RegressionPrimaryMetrics)

@JvmName(name = "cmbmnuxbjsrmodgt")

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

@JvmName(name = "uhdxwwyfcdgpxlxu")

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

@JvmName(name = "ytuuvyykclquxxvo")

fun primaryMetric(value: String)

targetColumnName

@JvmName(name = "ascaagecgksjeeyu")

suspend fun targetColumnName(value: Output<String>)

@JvmName(name = "fflymoxylkifkhoc")

suspend fun targetColumnName(value: String?)

taskType

@JvmName(name = "ovkpgkvnpftmypia")

suspend fun taskType(value: Output<String>)

@JvmName(name = "qxccqqjojifoctlx")

suspend fun taskType(value: String)

testData

@JvmName(name = "jjqucpxciovdsvrh")

suspend fun testData(value: MLTableJobInputArgs?)

@JvmName(name = "shgugutoxifkbjfv")

suspend fun testData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "kqemubfblhhyicxm")

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

testDataSize

@JvmName(name = "gjrjsmghnildfacp")

suspend fun testDataSize(value: Output<Double>)

@JvmName(name = "ecjgphwxmaxqyhwh")

suspend fun testDataSize(value: Double?)

trainingData

@JvmName(name = "oaltjuhosuqgirmw")

suspend fun trainingData(value: MLTableJobInputArgs)

@JvmName(name = "amspeyiljqlyqkty")

suspend fun trainingData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "fgaepqvxugkybewb")

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

trainingSettings

@JvmName(name = "aaivjcbfjvrsmpvr")

suspend fun trainingSettings(value: RegressionTrainingSettingsArgs?)

@JvmName(name = "nkdfxjbssrhbxxlt")

suspend fun trainingSettings(value: Output<RegressionTrainingSettingsArgs>)

@JvmName(name = "jatqdoyrqqiueeak")

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

validationData

@JvmName(name = "rfktvwfbvmtxkcfw")

suspend fun validationData(value: MLTableJobInputArgs?)

@JvmName(name = "ofauyxmgmywrqhhn")

suspend fun validationData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "hijbpuemstuxusne")

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

validationDataSize

@JvmName(name = "kxpowlcgyxkphtub")

suspend fun validationDataSize(value: Output<Double>)

@JvmName(name = "yafeqxhexoxtsmww")

suspend fun validationDataSize(value: Double?)

weightColumnName

@JvmName(name = "ckniywxmeeophtem")

suspend fun weightColumnName(value: Output<String>)

@JvmName(name = "iyxlgosxpicfxboj")

suspend fun weightColumnName(value: String?)