H2ODRFParams

Type Members

implicit class ParametersExtraMethods extends AnyRef

Definition Classes
H2OAlgoParamsBase

Abstract Value Members

abstract def copy(extra: ParamMap): Params

Definition Classes
Params
abstract val uid: String

Definition Classes
Identifiable

Concrete Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def $[T](param: Param[T]): T

Attributes
protected
Definition Classes
Params
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
val aucType: Param[String]

Attributes
protected
val balanceClasses: BooleanParam

Attributes
protected
val binomialDoubleTrees: BooleanParam

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

Attributes
protected
Definition Classes
ParameterConstructorMethods
val buildTreeOneNode: BooleanParam

Attributes
protected
val calibrateModel: BooleanParam

Attributes
protected
val calibrationMethod: Param[String]

Attributes
protected
val categoricalEncoding: Param[String]

Attributes
protected
val checkConstantResponse: BooleanParam

Attributes
protected
val classSamplingFactors: NullableFloatArrayParam

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

Definition Classes
Params
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
val colSampleRateChangePerLevel: org.apache.spark.ml.param.DoubleParam

Attributes
protected
val colSampleRatePerTree: org.apache.spark.ml.param.DoubleParam

Attributes
protected
def convert2dArrayToH2OFrame(input: Array[Array[Double]]): String

Attributes
protected
Definition Classes
H2OAlgoParamsBase
def convertDataFrameToH2OFrameKey(dataFrame: DataFrame): String

Attributes
protected
Definition Classes
H2OAlgoParamsBase
def convertMatrixToH2OFrameKeyArray(matrix: Array[DenseMatrix]): Array[String]

Attributes
protected
Definition Classes
H2OAlgoParamsBase
def convertVectorArrayToH2OFrameKeyArray(vectors: Array[DenseVector]): Array[String]

Attributes
protected
Definition Classes
H2OAlgoParamsBase
def copyValues[T <: Params](to: T, extra: ParamMap): T

Attributes
protected
Definition Classes
Params
val customMetricFunc: NullableStringParam

Attributes
protected
final val dataFrameSerializer: Param[String]

Attributes
protected
Definition Classes
HasDataFrameSerializer
final def defaultCopy[T <: Params](extra: ParamMap): T

Attributes
protected
Definition Classes
Params
val distribution: Param[String]

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

Attributes
protected
Definition Classes
ParameterConstructorMethods
def doubleParam(name: String, doc: String): org.apache.spark.ml.param.DoubleParam

Attributes
protected
Definition Classes
ParameterConstructorMethods
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def explainParam(param: Param[_]): String

Definition Classes
Params
def explainParams(): String

Definition Classes
Params
val exportCheckpointsDir: NullableStringParam

Attributes
protected
final def extractParamMap(): ParamMap

Definition Classes
Params
final def extractParamMap(extra: ParamMap): ParamMap

Definition Classes
Params
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
def floatParam(name: String, doc: String): FloatParam

Attributes
protected
Definition Classes
ParameterConstructorMethods
val foldAssignment: Param[String]

Attributes
protected
val foldCol: NullableStringParam

Attributes
protected
val gainsliftBins: IntParam

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

Definition Classes
Params
def getAucType(): String
def getBalanceClasses(): Boolean
def getBinomialDoubleTrees(): Boolean
def getBuildTreeOneNode(): Boolean
def getCalibrateModel(): Boolean
def getCalibrationDataFrame(): DataFrame

Definition Classes
HasCalibrationDataFrame
def getCalibrationMethod(): String
def getCategoricalEncoding(): String
def getCheckConstantResponse(): Boolean
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def getClassSamplingFactors(): Array[Float]
def getColSampleRateChangePerLevel(): Double
def getColSampleRatePerTree(): Double
def getCustomMetricFunc(): String
def getDataFrameSerializer(): String

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

Definition Classes
Params
def getDistribution(): String
def getExportCheckpointsDir(): String
def getFoldAssignment(): String
def getFoldCol(): String
def getGainsliftBins(): Int
def getHistogramType(): String
def getIgnoreConstCols(): Boolean
def getIgnoredCols(): Array[String]

Definition Classes
HasIgnoredCols
def getKeepCrossValidationFoldAssignment(): Boolean
def getKeepCrossValidationModels(): Boolean
def getKeepCrossValidationPredictions(): Boolean
def getLabelCol(): String
def getMaxAfterBalanceSize(): Float
def getMaxConfusionMatrixSize(): Int
def getMaxDepth(): Int
def getMaxRuntimeSecs(): Double
def getMinRows(): Double
def getMinSplitImprovement(): Double
def getModelId(): String
def getMtries(): Int
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

Definition Classes
Params
def getParam(paramName: String): Param[Any]

Definition Classes
Params
def getSampleRate(): Double
def getSampleRatePerClass(): Array[Double]
def getScoreEachIteration(): Boolean
def getScoreTreeInterval(): Int
def getSeed(): Long
def getStoppingMetric(): String
def getStoppingRounds(): Int
def getStoppingTolerance(): Double
def getWeightCol(): String
final def hasDefault[T](param: Param[T]): Boolean

Definition Classes
Params
def hasParam(paramName: String): Boolean

Definition Classes
Params
def hashCode(): Int

Definition Classes
AnyRef → Any
val histogramType: Param[String]

Attributes
protected
val ignoreConstCols: BooleanParam

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

Attributes
protected
Definition Classes
ParameterConstructorMethods
def intParam(name: String, doc: String): IntParam

Attributes
protected
Definition Classes
ParameterConstructorMethods
final def isDefined(param: Param[_]): Boolean

Definition Classes
Params
final def isInstanceOf[T0]: Boolean

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

Definition Classes
Params
val keepCrossValidationFoldAssignment: BooleanParam

Attributes
protected
val keepCrossValidationModels: BooleanParam

Attributes
protected
val keepCrossValidationPredictions: BooleanParam

Attributes
protected
val labelCol: Param[String]

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

Attributes
protected
Definition Classes
ParameterConstructorMethods
val maxAfterBalanceSize: FloatParam

Attributes
protected
val maxConfusionMatrixSize: IntParam

Attributes
protected
val maxDepth: IntParam

Attributes
protected
val maxRuntimeSecs: org.apache.spark.ml.param.DoubleParam

Attributes
protected
val minRows: org.apache.spark.ml.param.DoubleParam

Attributes
protected
val minSplitImprovement: org.apache.spark.ml.param.DoubleParam

Attributes
protected
val modelId: NullableStringParam

Attributes
protected
val mtries: IntParam

Attributes
protected
val nbins: IntParam

Attributes
protected
val nbinsCats: IntParam

Attributes
protected
val nbinsTopLevel: IntParam

Attributes
protected
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
val nfolds: IntParam

Attributes
protected
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val ntrees: IntParam

Attributes
protected
def nullableBooleanArrayParam(name: String, doc: String): NullableBooleanArrayParam

Attributes
protected
Definition Classes
ParameterConstructorMethods
def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam

Attributes
protected
Definition Classes
ParameterConstructorMethods
def nullableDoubleArrayParam(name: String, doc: String): NullableDoubleArrayParam

Attributes
protected
Definition Classes
ParameterConstructorMethods
def nullableFloatArrayParam(name: String, doc: String): NullableFloatArrayParam

Attributes
protected
Definition Classes
ParameterConstructorMethods
def nullableIntArrayParam(name: String, doc: String): NullableIntArrayParam

Attributes
protected
Definition Classes
ParameterConstructorMethods
def nullableStringArrayArrayParam(name: String, doc: String): NullableStringArrayArrayParam

Attributes
protected
Definition Classes
ParameterConstructorMethods
def nullableStringArrayParam(name: String, doc: String): NullableStringArrayParam

Attributes
protected
Definition Classes
ParameterConstructorMethods
def nullableStringPairArrayParam(name: String, doc: String): NullableStringPairArrayParam

Attributes
protected
Definition Classes
ParameterConstructorMethods
def nullableStringParam(name: String, doc: String): NullableStringParam

Attributes
protected
Definition Classes
ParameterConstructorMethods
val offsetCol: NullableStringParam

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

Attributes
protected
Definition Classes
ParameterConstructorMethods
def paramTag: ClassTag[DRFParameters]

Attributes
protected
lazy val params: Array[Param[_]]

Definition Classes
Params
val sampleRate: org.apache.spark.ml.param.DoubleParam

Attributes
protected
val sampleRatePerClass: NullableDoubleArrayParam

Attributes
protected
val scoreEachIteration: BooleanParam

Attributes
protected
val scoreTreeInterval: IntParam

Attributes
protected
val seed: LongParam

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

Attributes
protected
Definition Classes
Params
final def set(param: String, value: Any): H2ODRFParams.this.type

Attributes
protected
Definition Classes
Params
final def set[T](param: Param[T], value: T): H2ODRFParams.this.type

Definition Classes
Params
def setAucType(value: String): H2ODRFParams.this.type
def setBalanceClasses(value: Boolean): H2ODRFParams.this.type
def setBinomialDoubleTrees(value: Boolean): H2ODRFParams.this.type
def setBuildTreeOneNode(value: Boolean): H2ODRFParams.this.type
def setCalibrateModel(value: Boolean): H2ODRFParams.this.type
def setCalibrationDataFrame(value: DataFrame): H2ODRFParams.this.type

Definition Classes
HasCalibrationDataFrame
def setCalibrationMethod(value: String): H2ODRFParams.this.type
def setCategoricalEncoding(value: String): H2ODRFParams.this.type
def setCheckConstantResponse(value: Boolean): H2ODRFParams.this.type
def setClassSamplingFactors(value: Array[Float]): H2ODRFParams.this.type
def setColSampleRateChangePerLevel(value: Double): H2ODRFParams.this.type
def setColSampleRatePerTree(value: Double): H2ODRFParams.this.type
def setCustomMetricFunc(value: String): H2ODRFParams.this.type
final def setDefault(paramPairs: ParamPair[_]*): H2ODRFParams.this.type

Attributes
protected
Definition Classes
Params
final def setDefault[T](param: Param[T], value: T): H2ODRFParams.this.type

Attributes
protected
Definition Classes
Params
def setDistribution(value: String): H2ODRFParams.this.type
def setExportCheckpointsDir(value: String): H2ODRFParams.this.type
def setFoldAssignment(value: String): H2ODRFParams.this.type
def setFoldCol(value: String): H2ODRFParams.this.type
def setGainsliftBins(value: Int): H2ODRFParams.this.type
def setHistogramType(value: String): H2ODRFParams.this.type
def setIgnoreConstCols(value: Boolean): H2ODRFParams.this.type
def setIgnoredCols(value: Array[String]): H2ODRFParams.this.type

Definition Classes
HasIgnoredCols
def setKeepCrossValidationFoldAssignment(value: Boolean): H2ODRFParams.this.type
def setKeepCrossValidationModels(value: Boolean): H2ODRFParams.this.type
def setKeepCrossValidationPredictions(value: Boolean): H2ODRFParams.this.type
def setLabelCol(value: String): H2ODRFParams.this.type
def setMaxAfterBalanceSize(value: Float): H2ODRFParams.this.type
def setMaxConfusionMatrixSize(value: Int): H2ODRFParams.this.type
def setMaxDepth(value: Int): H2ODRFParams.this.type
def setMaxRuntimeSecs(value: Double): H2ODRFParams.this.type
def setMinRows(value: Double): H2ODRFParams.this.type
def setMinSplitImprovement(value: Double): H2ODRFParams.this.type
def setModelId(value: String): H2ODRFParams.this.type
def setMtries(value: Int): 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(value: String): H2ODRFParams.this.type
def setSampleRate(value: Double): H2ODRFParams.this.type
def setSampleRatePerClass(value: Array[Double]): H2ODRFParams.this.type
def setScoreEachIteration(value: Boolean): H2ODRFParams.this.type
def setScoreTreeInterval(value: Int): H2ODRFParams.this.type
def setSeed(value: Long): 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(value: String): H2ODRFParams.this.type
val stoppingMetric: Param[String]

Attributes
protected
val stoppingRounds: IntParam

Attributes
protected
val stoppingTolerance: org.apache.spark.ml.param.DoubleParam

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

Attributes
protected
Definition Classes
ParameterConstructorMethods
def stringParam(name: String, doc: String): Param[String]

Attributes
protected
Definition Classes
ParameterConstructorMethods
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
Identifiable → AnyRef → Any
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
val weightCol: NullableStringParam

Attributes
protected

Related Doc: package params

trait H2ODRFParams extends H2OAlgoParamsBase with HasCalibrationDataFrame with HasIgnoredCols

Type Members

implicit class ParametersExtraMethods extends AnyRef

Abstract Value Members

abstract def copy(extra: ParamMap): Params

abstract val uid: String

Concrete Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

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

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

val aucType: Param[String]

val balanceClasses: BooleanParam

val binomialDoubleTrees: BooleanParam

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

val buildTreeOneNode: BooleanParam

val calibrateModel: BooleanParam

val calibrationMethod: Param[String]

val categoricalEncoding: Param[String]

val checkConstantResponse: BooleanParam

val classSamplingFactors: NullableFloatArrayParam

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

def clone(): AnyRef

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

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

def convert2dArrayToH2OFrame(input: Array[Array[Double]]): String

def convertDataFrameToH2OFrameKey(dataFrame: DataFrame): String

def convertMatrixToH2OFrameKeyArray(matrix: Array[DenseMatrix]): Array[String]

def convertVectorArrayToH2OFrameKeyArray(vectors: Array[DenseVector]): Array[String]

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

val customMetricFunc: NullableStringParam

final val dataFrameSerializer: Param[String]

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

val distribution: Param[String]

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

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

val exportCheckpointsDir: NullableStringParam

final def extractParamMap(): ParamMap

final def extractParamMap(extra: ParamMap): ParamMap

def finalize(): Unit

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

val foldAssignment: Param[String]

val foldCol: NullableStringParam

val gainsliftBins: IntParam

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

def getAucType(): String

def getBalanceClasses(): Boolean

def getBinomialDoubleTrees(): Boolean

def getBuildTreeOneNode(): Boolean

def getCalibrateModel(): Boolean

def getCalibrationDataFrame(): DataFrame

def getCalibrationMethod(): String

def getCategoricalEncoding(): String

def getCheckConstantResponse(): Boolean

final def getClass(): Class[_]

def getClassSamplingFactors(): Array[Float]

def getColSampleRateChangePerLevel(): Double

def getColSampleRatePerTree(): Double

def getCustomMetricFunc(): String

def getDataFrameSerializer(): String

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

def getDistribution(): String

def getExportCheckpointsDir(): String

def getFoldAssignment(): String

def getFoldCol(): String

def getGainsliftBins(): Int

def getHistogramType(): String

def getIgnoreConstCols(): Boolean

def getIgnoredCols(): Array[String]

def getKeepCrossValidationFoldAssignment(): Boolean

def getKeepCrossValidationModels(): Boolean

def getKeepCrossValidationPredictions(): Boolean

def getLabelCol(): String