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

RegressionArgsBuilder

class RegressionArgsBuilder

Builder for RegressionArgs.

Functions

cvSplitColumnNames

@JvmName(name = "rfopijsxvpqqcibo")

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

@JvmName(name = "vlggylopqykluhkc")

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

@JvmName(name = "lvytnwjoxxlsiuvr")

suspend fun cvSplitColumnNames(vararg values: String)

@JvmName(name = "vclgloebeukqiycv")

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

@JvmName(name = "kfbahunbkbsxfxgw")

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

featurizationSettings

@JvmName(name = "fgvddckpgqlafdhu")

suspend fun featurizationSettings(value: TableVerticalFeaturizationSettingsArgs?)

@JvmName(name = "fgckcjjcvvrqmcnn")

suspend fun featurizationSettings(value: Output<TableVerticalFeaturizationSettingsArgs>)

@JvmName(name = "rynaupjjktekatwb")

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

limitSettings

@JvmName(name = "wrtbphrqtmshenwq")

suspend fun limitSettings(value: TableVerticalLimitSettingsArgs?)

@JvmName(name = "xvtfighhlhuoayjn")

suspend fun limitSettings(value: Output<TableVerticalLimitSettingsArgs>)

@JvmName(name = "apmqsycgcvqqyggl")

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

logVerbosity

@JvmName(name = "fiiffpnmbstshisr")

fun logVerbosity(value: LogVerbosity)

@JvmName(name = "kldubpbjbwijeacy")

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

@JvmName(name = "tamsypjtyixwaswn")

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

@JvmName(name = "uiamxkqfychxrncs")

fun logVerbosity(value: String)

nCrossValidations

@JvmName(name = "sblfqtccfsoxtgow")

fun nCrossValidations(value: AutoNCrossValidationsArgs)

@JvmName(name = "ddvuofmlvepoculo")

fun nCrossValidations(value: CustomNCrossValidationsArgs)

@JvmName(name = "aekopogbiclwuxwf")

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

@JvmName(name = "vveewcumyayofddt")

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

primaryMetric

@JvmName(name = "swlxrjvkfbipbxiq")

fun primaryMetric(value: RegressionPrimaryMetrics)

@JvmName(name = "cqkgyitcqkplnexm")

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

@JvmName(name = "olwaitbhttvnvony")

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

@JvmName(name = "cgylvylotswajagi")

fun primaryMetric(value: String)

targetColumnName

@JvmName(name = "ebdpoaaciltckcnn")

suspend fun targetColumnName(value: Output<String>)

@JvmName(name = "mjvbtrojlystqige")

suspend fun targetColumnName(value: String?)

taskType

@JvmName(name = "ookkypdikniixklw")

suspend fun taskType(value: Output<String>)

@JvmName(name = "pvkjkdoertfawoeg")

suspend fun taskType(value: String)

testData

@JvmName(name = "tcwcjafcrygdlocw")

suspend fun testData(value: MLTableJobInputArgs?)

@JvmName(name = "eokemimxnhyyfbtw")

suspend fun testData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "yukariffweujivro")

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

testDataSize

@JvmName(name = "xfvrtblmlwkbpoai")

suspend fun testDataSize(value: Output<Double>)

@JvmName(name = "lgqttpqidugsoble")

suspend fun testDataSize(value: Double?)

trainingData

@JvmName(name = "axemfaeywpdxtfso")

suspend fun trainingData(value: MLTableJobInputArgs)

@JvmName(name = "sukittiliduktbxf")

suspend fun trainingData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "gfbbhfupyftpybmf")

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

trainingSettings

@JvmName(name = "kcwupkydaiklqbfi")

suspend fun trainingSettings(value: RegressionTrainingSettingsArgs?)

@JvmName(name = "viyyeprrlfttdivw")

suspend fun trainingSettings(value: Output<RegressionTrainingSettingsArgs>)

@JvmName(name = "ypdfhvjbytxcascb")

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

validationData

@JvmName(name = "jtoanfrxmrjdemex")

suspend fun validationData(value: MLTableJobInputArgs?)

@JvmName(name = "cklatbpjceybrmce")

suspend fun validationData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "akceisqugcaofapf")

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

validationDataSize

@JvmName(name = "pgtjrybanjkdorxa")

suspend fun validationDataSize(value: Output<Double>)

@JvmName(name = "cvsctlmuehrmjhri")

suspend fun validationDataSize(value: Double?)

weightColumnName

@JvmName(name = "vqngcjsnfqgqxnjd")

suspend fun weightColumnName(value: Output<String>)

@JvmName(name = "yiqicrrbdrvekpns")

suspend fun weightColumnName(value: String?)