trait H2OGBMParams extends H2OAlgoParamsBase with HasMonotoneConstraints with HasCalibrationDataFrame with HasIgnoredCols
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- H2OGBMParams
- HasIgnoredCols
- HasCalibrationDataFrame
- HasDataFrameSerializer
- HasMonotoneConstraints
- H2OAlgoParamsBase
- H2OFrameLifecycle
- ParameterConstructorMethods
- Params
- Serializable
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implicit
class
ParametersExtraMethods extends AnyRef
- Definition Classes
- H2OAlgoParamsBase
Abstract Value Members
Concrete Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
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-
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
autoRebalance: BooleanParam
- Attributes
- protected
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val
balanceClasses: BooleanParam
- Attributes
- protected
-
def
booleanParam(name: String, doc: String): BooleanParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
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val
buildTreeOneNode: BooleanParam
- Attributes
- protected
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val
calibrateModel: BooleanParam
- Attributes
- protected
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val
calibrationMethod: Param[String]
- Attributes
- protected
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val
categoricalEncoding: Param[String]
- Attributes
- protected
-
val
checkConstantResponse: BooleanParam
- Attributes
- protected
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val
classSamplingFactors: NullableFloatArrayParam
- Attributes
- protected
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final
def
clear(param: Param[_]): H2OGBMParams.this.type
- Definition Classes
- Params
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
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val
colSampleRate: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
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val
colSampleRateChangePerLevel: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
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val
colSampleRatePerTree: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
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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
customDistributionFunc: NullableStringParam
- Attributes
- protected
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val
customMetricFunc: NullableStringParam
- Attributes
- protected
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final
val
dataFrameSerializer: Param[String]
- Attributes
- protected
- Definition Classes
- HasDataFrameSerializer
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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
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final
def
extractParamMap(): ParamMap
- Definition Classes
- Params
-
final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
- Params
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
def
floatParam(name: String, doc: String): FloatParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
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val
foldAssignment: Param[String]
- Attributes
- protected
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val
foldCol: NullableStringParam
- Attributes
- protected
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val
gainsliftBins: IntParam
- Attributes
- protected
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final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
- def getAucType(): String
- def getAutoRebalance(): Boolean
- def getBalanceClasses(): 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
- Annotations
- @native()
- def getClassSamplingFactors(): Array[Float]
- def getColSampleRate(): Double
- def getColSampleRateChangePerLevel(): Double
- def getColSampleRatePerTree(): Double
- def getCustomDistributionFunc(): String
- 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 getHuberAlpha(): Double
- def getIgnoreConstCols(): Boolean
-
def
getIgnoredCols(): Array[String]
- Definition Classes
- HasIgnoredCols
- def getInTrainingCheckpointsDir(): String
- def getInTrainingCheckpointsTreeInterval(): Int
- def getInteractionConstraints(): Array[Array[String]]
- def getKeepCrossValidationFoldAssignment(): Boolean
- def getKeepCrossValidationModels(): Boolean
- def getKeepCrossValidationPredictions(): Boolean
- def getLabelCol(): String
- def getLearnRate(): Double
- def getLearnRateAnnealing(): Double
- def getMaxAbsLeafnodePred(): Double
- def getMaxAfterBalanceSize(): Float
- def getMaxConfusionMatrixSize(): Int
- def getMaxDepth(): Int
- def getMaxRuntimeSecs(): Double
- def getMinRows(): Double
- def getMinSplitImprovement(): Double
- def getModelId(): String
-
def
getMonotoneConstraints(): Map[String, Double]
- Definition Classes
- HasMonotoneConstraints
- 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 getPredNoiseBandwidth(): Double
- def getQuantileAlpha(): Double
- 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 getTweediePower(): Double
- def getWeightCol(): String
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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
- Annotations
- @native()
-
val
histogramType: Param[String]
- Attributes
- protected
-
val
huberAlpha: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
ignoreConstCols: BooleanParam
- Attributes
- protected
-
val
inTrainingCheckpointsDir: NullableStringParam
- Attributes
- protected
-
val
inTrainingCheckpointsTreeInterval: IntParam
- 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
-
val
interactionConstraints: NullableStringArrayArrayParam
- Attributes
- protected
-
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
-
val
learnRate: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
learnRateAnnealing: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
def
longParam(name: String, doc: String): LongParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
val
maxAbsLeafnodePred: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
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
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
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
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[GBMParameters]
- Attributes
- protected
-
lazy val
params: Array[Param[_]]
- Definition Classes
- Params
-
val
predNoiseBandwidth: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
quantileAlpha: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
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[_]): H2OGBMParams.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set(param: String, value: Any): H2OGBMParams.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set[T](param: Param[T], value: T): H2OGBMParams.this.type
- Definition Classes
- Params
- def setAucType(value: String): H2OGBMParams.this.type
- def setAutoRebalance(value: Boolean): H2OGBMParams.this.type
- def setBalanceClasses(value: Boolean): H2OGBMParams.this.type
- def setBuildTreeOneNode(value: Boolean): H2OGBMParams.this.type
- def setCalibrateModel(value: Boolean): H2OGBMParams.this.type
-
def
setCalibrationDataFrame(value: DataFrame): H2OGBMParams.this.type
- Definition Classes
- HasCalibrationDataFrame
- def setCalibrationMethod(value: String): H2OGBMParams.this.type
- def setCategoricalEncoding(value: String): H2OGBMParams.this.type
- def setCheckConstantResponse(value: Boolean): H2OGBMParams.this.type
- def setClassSamplingFactors(value: Array[Float]): H2OGBMParams.this.type
- def setColSampleRate(value: Double): H2OGBMParams.this.type
- def setColSampleRateChangePerLevel(value: Double): H2OGBMParams.this.type
- def setColSampleRatePerTree(value: Double): H2OGBMParams.this.type
- def setCustomDistributionFunc(value: String): H2OGBMParams.this.type
- def setCustomMetricFunc(value: String): H2OGBMParams.this.type
-
final
def
setDefault(paramPairs: ParamPair[_]*): H2OGBMParams.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
setDefault[T](param: Param[T], value: T): H2OGBMParams.this.type
- Attributes
- protected
- Definition Classes
- Params
- def setDistribution(value: String): H2OGBMParams.this.type
- def setExportCheckpointsDir(value: String): H2OGBMParams.this.type
- def setFoldAssignment(value: String): H2OGBMParams.this.type
- def setFoldCol(value: String): H2OGBMParams.this.type
- def setGainsliftBins(value: Int): H2OGBMParams.this.type
- def setHistogramType(value: String): H2OGBMParams.this.type
- def setHuberAlpha(value: Double): H2OGBMParams.this.type
- def setIgnoreConstCols(value: Boolean): H2OGBMParams.this.type
-
def
setIgnoredCols(value: Array[String]): H2OGBMParams.this.type
- Definition Classes
- HasIgnoredCols
- def setInTrainingCheckpointsDir(value: String): H2OGBMParams.this.type
- def setInTrainingCheckpointsTreeInterval(value: Int): H2OGBMParams.this.type
- def setInteractionConstraints(value: Array[Array[String]]): H2OGBMParams.this.type
- def setKeepCrossValidationFoldAssignment(value: Boolean): H2OGBMParams.this.type
- def setKeepCrossValidationModels(value: Boolean): H2OGBMParams.this.type
- def setKeepCrossValidationPredictions(value: Boolean): H2OGBMParams.this.type
- def setLabelCol(value: String): H2OGBMParams.this.type
- def setLearnRate(value: Double): H2OGBMParams.this.type
- def setLearnRateAnnealing(value: Double): H2OGBMParams.this.type
- def setMaxAbsLeafnodePred(value: Double): H2OGBMParams.this.type
- def setMaxAfterBalanceSize(value: Float): H2OGBMParams.this.type
- def setMaxConfusionMatrixSize(value: Int): H2OGBMParams.this.type
- def setMaxDepth(value: Int): H2OGBMParams.this.type
- def setMaxRuntimeSecs(value: Double): H2OGBMParams.this.type
- def setMinRows(value: Double): H2OGBMParams.this.type
- def setMinSplitImprovement(value: Double): H2OGBMParams.this.type
- def setModelId(value: String): H2OGBMParams.this.type
-
def
setMonotoneConstraints(value: Map[String, Double]): H2OGBMParams.this.type
- Definition Classes
- HasMonotoneConstraints
- def setNbins(value: Int): H2OGBMParams.this.type
- def setNbinsCats(value: Int): H2OGBMParams.this.type
- def setNbinsTopLevel(value: Int): H2OGBMParams.this.type
- def setNfolds(value: Int): H2OGBMParams.this.type
- def setNtrees(value: Int): H2OGBMParams.this.type
- def setOffsetCol(value: String): H2OGBMParams.this.type
- def setPredNoiseBandwidth(value: Double): H2OGBMParams.this.type
- def setQuantileAlpha(value: Double): H2OGBMParams.this.type
- def setSampleRate(value: Double): H2OGBMParams.this.type
- def setSampleRatePerClass(value: Array[Double]): H2OGBMParams.this.type
- def setScoreEachIteration(value: Boolean): H2OGBMParams.this.type
- def setScoreTreeInterval(value: Int): H2OGBMParams.this.type
- def setSeed(value: Long): H2OGBMParams.this.type
- def setStoppingMetric(value: String): H2OGBMParams.this.type
- def setStoppingRounds(value: Int): H2OGBMParams.this.type
- def setStoppingTolerance(value: Double): H2OGBMParams.this.type
- def setTweediePower(value: Double): H2OGBMParams.this.type
- def setWeightCol(value: String): H2OGBMParams.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
-
val
tweediePower: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
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( ... ) @native()
-
val
weightCol: NullableStringParam
- Attributes
- protected