H2ODRFParams

abstract def copy(extra: ParamMap): Params

abstract val uid: String

final def !=(arg0: Any): Boolean

final def ##(): Int

final def $[T](param: Param[T]): T

final def ==(arg0: Any): Boolean

final val allStringColumnsToCategorical: BooleanParam

final def asInstanceOf[T0]: T0

def booleanParam(name: String, doc: Option[String] = None): BooleanParam

def booleanParam(name: String, doc: String): BooleanParam

final val buildTreeOneNode: BooleanParam

final def clear(param: Param[_]): H2ODRFParams.this.type

def clone(): AnyRef

final val colSampleRateChangePerLevel: org.apache.spark.ml.param.DoubleParam

final val colSampleRatePerTree: org.apache.spark.ml.param.DoubleParam

final val columnsToCategorical: StringArrayParam

final val convertInvalidNumbersToNa: BooleanParam

final val convertUnknownCategoricalLevelsToNa: BooleanParam

def copyValues[T <: Params](to: T, extra: ParamMap): T

final def defaultCopy[T <: Params](extra: ParamMap): T

final val detailedPredictionCol: Param[String]

def doubleArrayParam(name: String, doc: Option[String] = None): DoubleArrayParam

def doubleArrayParam(name: String, doc: String): DoubleArrayParam

def doubleParam(name: String, doc: Option[String] = None): org.apache.spark.ml.param.DoubleParam

def doubleParam(name: String, doc: String): org.apache.spark.ml.param.DoubleParam

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def explainParam(param: Param[_]): String

def explainParams(): String

final def extractParamMap(): ParamMap

final def extractParamMap(extra: ParamMap): ParamMap

final val featuresCols: StringArrayParam

def finalize(): Unit

def floatParam(name: String, doc: Option[String] = None): FloatParam

def floatParam(name: String, doc: String): FloatParam

final val foldCol: NullableStringParam

final def get[T](param: Param[T]): Option[T]

def getAllStringColumnsToCategorical(): Boolean

def getBinomialDoubleTrees(): Boolean

def getBuildTreeOneNode(): Boolean

final def getClass(): Class[_]

def getColSampleRateChangePerLevel(): Double

def getColSampleRatePerTree(): Double

def getColumnsToCategorical(): Array[String]

def getConvertInvalidNumbersToNa(): Boolean

def getConvertUnknownCategoricalLevelsToNa(): Boolean

final def getDefault[T](param: Param[T]): Option[T]

def getDetailedPredictionCol(): String

def getDistribution(): String

def getDoc(doc: Option[String], fieldName: String): String

def getExcludedCols(): Seq[String]

def getFeaturesCols(): Array[String]

def getFoldCol(): String

def getH2ODoc(fieldName: String): String

def getHistogramType(): String

def getKeepCrossValidationFoldAssignment(): Boolean

def getKeepCrossValidationPredictions(): Boolean

def getLabelCol(): String

def getMaxDepth(): Int

def getMinRows(): Double

def getMinSplitImprovement(): Double

def getModelId(): String

def getMtries(): Double

def getNamedMojoOutputColumns(): Boolean

def getNbins(): Int

def getNbinsCats(): Int

def getNbinsTopLevel(): Int

def getNfolds(): Int

def getNtrees(): Int

def getOffsetCol(): String

final def getOrDefault[T](param: Param[T]): T

def getParallelizeCrossValidation(): Boolean

def getParam(paramName: String): Param[Any]

def getPredictionCol(): String

def getR2Stopping(): Double

def getSampleRate(): Double

def getSampleRatePerClass(): Array[Double]

def getScoreTreeInterval(): Int

def getSeed(): Long

def getSplitRatio(): Double

def getStoppingMetric(): String

def getStoppingRounds(): Int

def getStoppingTolerance(): Double

def getWeightCol(): String

def getWithDetailedPredictionCol(): Boolean

final def hasDefault[T](param: Param[T]): Boolean

def hasParam(paramName: String): Boolean

def hashCode(): Int

final val histogramType: Param[String]

def initializeLogIfNecessary(isInterpreter: Boolean): Unit

def intArrayParam(name: String, doc: Option[String] = None): IntArrayParam

def intArrayParam(name: String, doc: String): IntArrayParam

def intParam(name: String, doc: Option[String] = None): IntParam

def intParam(name: String, doc: String): IntParam

final def isDefined(param: Param[_]): Boolean

final def isInstanceOf[T0]: Boolean

final def isSet(param: Param[_]): Boolean

def isTraceEnabled(): Boolean

final val labelCol: Param[String]

def log: Logger

def logDebug(msg: ⇒ String, throwable: Throwable): Unit

def logDebug(msg: ⇒ String): Unit

def logError(msg: ⇒ String, throwable: Throwable): Unit

def logError(msg: ⇒ String): Unit

def logInfo(msg: ⇒ String, throwable: Throwable): Unit

def logInfo(msg: ⇒ String): Unit

def logName: String

def logTrace(msg: ⇒ String, throwable: Throwable): Unit

def logTrace(msg: ⇒ String): Unit

def logWarning(msg: ⇒ String, throwable: Throwable): Unit

def logWarning(msg: ⇒ String): Unit

def longParam(name: String, doc: Option[String] = None): LongParam

def longParam(name: String, doc: String): LongParam

final val maxDepth: IntParam

final val minRows: org.apache.spark.ml.param.DoubleParam

final val minSplitImprovement: org.apache.spark.ml.param.DoubleParam

final val modelId: NullableStringParam

final val namedMojoOutputColumns: Param[Boolean]

final val nbins: IntParam

final val nbinsCats: IntParam

final val nbinsTopLevel: IntParam

final def ne(arg0: AnyRef): Boolean

final val nfolds: IntParam

final def notify(): Unit

final def notifyAll(): Unit

final val ntrees: IntParam

def nullableDoubleArrayArrayParam(name: String, doc: Option[String] = None): NullableDoubleArrayArrayParam

def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam

def nullableDoubleArrayParam(name: String, doc: Option[String] = None): NullableDoubleArrayParam

def nullableDoubleArrayParam(name: String, doc: String): NullableDoubleArrayParam

def nullableStringArrayParam(name: String, doc: Option[String] = None): NullableStringArrayParam

def nullableStringArrayParam(name: String, doc: String): NullableStringArrayParam

def nullableStringParam(name: String, doc: Option[String] = None): NullableStringParam

def nullableStringParam(name: String, doc: String): NullableStringParam

def param[T](name: String, doc: Option[String] = None): Param[T]

def param[T](name: String, doc: String): Param[T]

def paramTag: ClassTag[DRFParameters]

var parameters: DRFParameters

lazy val params: Array[Param[_]]

final val predictionCol: Param[String]

final val r2Stopping: org.apache.spark.ml.param.DoubleParam

final val sampleRate: org.apache.spark.ml.param.DoubleParam

final val sampleRatePerClass: NullableDoubleArrayParam

def schemaTag: ClassTag[H2O_SCHEMA]

final val scoreTreeInterval: IntParam

final val seed: LongParam

final def set(paramPair: ParamPair[_]): H2ODRFParams.this.type

final def set(param: String, value: Any): H2ODRFParams.this.type

final def set[T](param: Param[T], value: T): H2ODRFParams.this.type

def setAllStringColumnsToCategorical(value: Boolean): H2ODRFParams.this.type

def setBinomialDoubleTrees(value: Boolean): H2ODRFParams.this.type

def setBuildTreeOneNode(value: Boolean): H2ODRFParams.this.type

def setColSampleRateChangePerLevel(value: Double): H2ODRFParams.this.type

def setColSampleRatePerTree(value: Double): H2ODRFParams.this.type

def setColumnsToCategorical(columns: Array[String]): H2ODRFParams.this.type

def setColumnsToCategorical(first: String, others: String*): H2ODRFParams.this.type

def setConvertInvalidNumbersToNa(value: Boolean): H2ODRFParams.this.type

def setConvertUnknownCategoricalLevelsToNa(value: Boolean): H2ODRFParams.this.type

final def setDefault(paramPairs: ParamPair[_]*): H2ODRFParams.this.type

final def setDefault[T](param: Param[T], value: T): H2ODRFParams.this.type

def setDetailedPredictionCol(columnName: String): H2ODRFParams.this.type

def setDistribution(value: String): H2ODRFParams.this.type

def setFeaturesCol(first: String): H2ODRFParams.this.type

def setFeaturesCols(columnNames: Array[String]): H2ODRFParams.this.type

def setFeaturesCols(first: String, others: String*): H2ODRFParams.this.type

def setFoldCol(columnName: String): H2ODRFParams.this.type

def setHistogramType(value: String): H2ODRFParams.this.type

def setKeepCrossValidationFoldAssignment(value: Boolean): H2ODRFParams.this.type

def setKeepCrossValidationPredictions(value: Boolean): H2ODRFParams.this.type

def setLabelCol(columnName: String): H2ODRFParams.this.type

def setMaxDepth(value: Int): H2ODRFParams.this.type

def setMinRows(value: Double): H2ODRFParams.this.type

def setMinSplitImprovement(value: Double): H2ODRFParams.this.type

def setModelId(id: String): H2ODRFParams.this.type

def setMtries(value: Int): H2ODRFParams.this.type

def setNamedMojoOutputColumns(value: Boolean): H2ODRFParams.this.type

def setNbins(value: Int): H2ODRFParams.this.type

def setNbinsCats(value: Int): H2ODRFParams.this.type

def setNbinsTopLevel(value: Int): H2ODRFParams.this.type

def setNfolds(value: Int): H2ODRFParams.this.type

def setNtrees(value: Int): H2ODRFParams.this.type

def setOffsetCol(columnName: String): H2ODRFParams.this.type

def setParallelizeCrossValidation(value: Boolean): H2ODRFParams.this.type

def setPredictionCol(columnName: String): H2ODRFParams.this.type

def setR2Stopping(value: Double): H2ODRFParams.this.type

def setSampleRate(value: Double): H2ODRFParams.this.type

def setSampleRatePerClass(value: Array[Double]): H2ODRFParams.this.type

def setScoreTreeInterval(value: Int): H2ODRFParams.this.type

def setSeed(value: Long): H2ODRFParams.this.type

def setSplitRatio(ratio: Double): H2ODRFParams.this.type

def setStoppingMetric(value: String): H2ODRFParams.this.type

def setStoppingRounds(value: Int): H2ODRFParams.this.type

def setStoppingTolerance(value: Double): H2ODRFParams.this.type

def setWeightCol(columnName: String): H2ODRFParams.this.type

def setWithDetailedPredictionCol(enabled: Boolean): H2ODRFParams.this.type

final val splitRatio: org.apache.spark.ml.param.DoubleParam

def stringArrayParam(name: String, doc: Option[String] = None): StringArrayParam

def stringArrayParam(name: String, doc: String): StringArrayParam

def stringParam(name: String, doc: Option[String] = None): Param[String]

def stringParam(name: String, doc: String): Param[String]

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

def updateH2OParams(): Unit

Update H2O params based on provided parameters to Spark Transformer/Estimator

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

final val weightCol: NullableStringParam

final val withDetailedPredictionCol: BooleanParam