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

RegressionArgsBuilder

class RegressionArgsBuilder

Builder for RegressionArgs.

Functions

cvSplitColumnNames

@JvmName(name = "fpdlganplnuugpns")

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

@JvmName(name = "lbuysmmwqxcrxolb")

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

@JvmName(name = "qrgbpnuytnywepht")

suspend fun cvSplitColumnNames(vararg values: String)

@JvmName(name = "tewbmecjjndixfoe")

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

@JvmName(name = "euusiocoajajwhtn")

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

featurizationSettings

@JvmName(name = "skdcbeajrwvcemil")

suspend fun featurizationSettings(value: TableVerticalFeaturizationSettingsArgs?)

@JvmName(name = "yntufallwjuxgrbg")

suspend fun featurizationSettings(value: Output<TableVerticalFeaturizationSettingsArgs>)

@JvmName(name = "erbgxedgipoulotb")

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

limitSettings

@JvmName(name = "qbvnuiiqjiblavfh")

suspend fun limitSettings(value: TableVerticalLimitSettingsArgs?)

@JvmName(name = "xwqecysstaaakath")

suspend fun limitSettings(value: Output<TableVerticalLimitSettingsArgs>)

@JvmName(name = "slkntxsmckyddash")

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

logVerbosity

@JvmName(name = "pqbshmqptfvspbow")

fun logVerbosity(value: LogVerbosity)

@JvmName(name = "xiumowhfyesrmftm")

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

@JvmName(name = "mpjtuiaenhxjwaou")

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

@JvmName(name = "twoxxetsgghexqtw")

fun logVerbosity(value: String)

nCrossValidations

@JvmName(name = "yikwdbqygjswqoub")

fun nCrossValidations(value: AutoNCrossValidationsArgs)

@JvmName(name = "mjjwcgtikuyhlbsn")

fun nCrossValidations(value: CustomNCrossValidationsArgs)

@JvmName(name = "anhlxgbvywerloiy")

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

@JvmName(name = "lgyhtjwbnndyndel")

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

primaryMetric

@JvmName(name = "ayqwjyhsoqmwhuax")

fun primaryMetric(value: RegressionPrimaryMetrics)

@JvmName(name = "utjdyfbargltsirw")

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

@JvmName(name = "jyanygtnrjqwkaeq")

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

@JvmName(name = "ohrwxknuykgjxknl")

fun primaryMetric(value: String)

targetColumnName

@JvmName(name = "fhnojpaaglfjfdnx")

suspend fun targetColumnName(value: Output<String>)

@JvmName(name = "vqndfvkrohgxcave")

suspend fun targetColumnName(value: String?)

taskType

@JvmName(name = "tbrdclyqnvscnreu")

suspend fun taskType(value: Output<String>)

@JvmName(name = "njrwenlveyrkqftq")

suspend fun taskType(value: String)

testData

@JvmName(name = "sufrfwakknabqkbc")

suspend fun testData(value: MLTableJobInputArgs?)

@JvmName(name = "cvonybhcveytrtkf")

suspend fun testData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "mlglvucxhsdccsap")

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

testDataSize

@JvmName(name = "qucackdthtmqnbvi")

suspend fun testDataSize(value: Output<Double>)

@JvmName(name = "xpxenwkpdvwimvsa")

suspend fun testDataSize(value: Double?)

trainingData

@JvmName(name = "vxfmsyqgscohnfod")

suspend fun trainingData(value: MLTableJobInputArgs)

@JvmName(name = "dqbmnhgnudtcdipf")

suspend fun trainingData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "nsxidmrijdtykypj")

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

trainingSettings

@JvmName(name = "hhetywfwnywotcfa")

suspend fun trainingSettings(value: RegressionTrainingSettingsArgs?)

@JvmName(name = "lpaiiengaolesbmm")

suspend fun trainingSettings(value: Output<RegressionTrainingSettingsArgs>)

@JvmName(name = "odkcnqyiabmsptax")

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

validationData

@JvmName(name = "xvhsmkcukdrwbrld")

suspend fun validationData(value: MLTableJobInputArgs?)

@JvmName(name = "eisfdrkqfsxaryfp")

suspend fun validationData(value: Output<MLTableJobInputArgs>)

@JvmName(name = "motdaxxvoshpnvhr")

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

validationDataSize

@JvmName(name = "jpuejhcaxkrwehxf")

suspend fun validationDataSize(value: Output<Double>)

@JvmName(name = "rydmicxrjwxysdiy")

suspend fun validationDataSize(value: Double?)

weightColumnName

@JvmName(name = "vqfaohqsffgrcnsh")

suspend fun weightColumnName(value: Output<String>)

@JvmName(name = "hwaisndgewxwkmwr")

suspend fun weightColumnName(value: String?)