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

RegressionArgsBuilder

class RegressionArgsBuilder

Builder for RegressionArgs.

Functions

cvSplitColumnNames

@JvmName(name = "phnwwkiqpgtlenea")

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

@JvmName(name = "pvkpuvsopebfibhu")

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

@JvmName(name = "fwtwkmjkbuwobila")

suspend fun cvSplitColumnNames(vararg values: String)

@JvmName(name = "cfrraxpquruwynon")

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

@JvmName(name = "otdraldqkrcprxrx")

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

featurizationSettings

@JvmName(name = "ogimurjpojbjhdxs")

suspend fun featurizationSettings(value: TableVerticalFeaturizationSettingsArgs?)

@JvmName(name = "xnpcwngxewkmctmn")

suspend fun featurizationSettings(value: Output<TableVerticalFeaturizationSettingsArgs>)

@JvmName(name = "xxesgcfapwjaimjg")

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

limitSettings

@JvmName(name = "gbtaaatfirgilbcy")

suspend fun limitSettings(value: TableVerticalLimitSettingsArgs?)

@JvmName(name = "lsylbrkxhucmfrtk")

suspend fun limitSettings(value: Output<TableVerticalLimitSettingsArgs>)

@JvmName(name = "qgjcqhqxjqlkfwdj")

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

logVerbosity

@JvmName(name = "uxnugvefajtonbif")

fun logVerbosity(value: LogVerbosity)

@JvmName(name = "mdlfcudysvyuqtoj")

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

@JvmName(name = "qdhgrcbeqblmmyeg")

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

@JvmName(name = "nifppjatdevvmdym")

fun logVerbosity(value: String)

nCrossValidations

@JvmName(name = "qcgqbbpfiyjjbqbw")

fun nCrossValidations(value: AutoNCrossValidationsArgs)

@JvmName(name = "kpfuqvcnurjjyvsl")

fun nCrossValidations(value: CustomNCrossValidationsArgs)

@JvmName(name = "lnsubwsaspxjckrg")

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

@JvmName(name = "wvevucvufttsjgau")

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

primaryMetric

@JvmName(name = "dticpvhttlyhsjnr")

fun primaryMetric(value: RegressionPrimaryMetrics)

@JvmName(name = "grqoxtkagqwnyshp")

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

@JvmName(name = "crgmyleslutaxblm")

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

@JvmName(name = "xmrotayesuuvbhto")

fun primaryMetric(value: String)

targetColumnName

@JvmName(name = "niovyqpffoqvqxim")

suspend fun targetColumnName(value: Output<String>)

@JvmName(name = "lmvfdmsdjpuviwae")

suspend fun targetColumnName(value: String?)

taskType

@JvmName(name = "lmrgtpvgwvrmhuqa")

suspend fun taskType(value: Output<String>)

@JvmName(name = "fvvpdocnvyxhaarl")

suspend fun taskType(value: String)

testData

@JvmName(name = "gejcndrklefhtbmx")

suspend fun testData(value: MLTableJobInputArgs?)

@JvmName(name = "lnpiwiiyfnmodqmh")

suspend fun testData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "saxdpnibltuuskpk")

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

testDataSize

@JvmName(name = "umvjbwutthhfyuob")

suspend fun testDataSize(value: Output<Double>)

@JvmName(name = "leadsdqphuguwalf")

suspend fun testDataSize(value: Double?)

trainingData

@JvmName(name = "bnujenteqhplolnw")

suspend fun trainingData(value: MLTableJobInputArgs)

@JvmName(name = "tdnmlhkthlbiqnwd")

suspend fun trainingData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "jovdvavruxwpumqw")

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

trainingSettings

@JvmName(name = "cjuwnkeymmkuqnsk")

suspend fun trainingSettings(value: RegressionTrainingSettingsArgs?)

@JvmName(name = "trxnvyeqwsihsvfb")

suspend fun trainingSettings(value: Output<RegressionTrainingSettingsArgs>)

@JvmName(name = "nqmpihbkjexjuyoq")

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

validationData

@JvmName(name = "tstiykxmjpxgtein")

suspend fun validationData(value: MLTableJobInputArgs?)

@JvmName(name = "kgoiuhnfxrgrocga")

suspend fun validationData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "vtnyomdxbfpvseje")

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

validationDataSize

@JvmName(name = "ohmfcexcpuvfevmi")

suspend fun validationDataSize(value: Output<Double>)

@JvmName(name = "bgymquvwadgvtxwh")

suspend fun validationDataSize(value: Double?)

weightColumnName

@JvmName(name = "rtjcikikysgjefky")

suspend fun weightColumnName(value: Output<String>)

@JvmName(name = "negsilsxnjumxoil")

suspend fun weightColumnName(value: String?)