Instance Constructors
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new
H2OXGBoostMOJOModel(uid: String)
Type Members
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Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
$[T](param: Param[T]): T
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final
def
==(arg0: Any): Boolean
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def
applyPredictionUdf(dataset: Dataset[_], udfConstructor: (Array[String]) ⇒ UserDefinedFunction): DataFrame
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def
applyPredictionUdfToFlatDataFrame(flatDataFrame: DataFrame, udfConstructor: (Array[String]) ⇒ UserDefinedFunction, inputs: Array[String]): DataFrame
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final
def
asInstanceOf[T0]: T0
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def
booleanParam(name: String, doc: String): BooleanParam
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val
buildTreeOneNode: BooleanParam
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val
calibrateModel: BooleanParam
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final
def
clear(param: Param[_]): H2OXGBoostMOJOModel.this.type
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def
clone(): AnyRef
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val
colSampleByLevel: DoubleParam
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val
colSampleByNode: DoubleParam
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val
colSampleByTree: DoubleParam
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val
colSampleRate: DoubleParam
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val
colSampleRatePerTree: DoubleParam
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final
val
convertInvalidNumbersToNa: BooleanParam
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final
val
convertUnknownCategoricalLevelsToNa: BooleanParam
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def
copy(extra: ParamMap): H2OMOJOModel
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def
copyValues[T <: Params](to: T, extra: ParamMap): T
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var
crossValidationModels: Array[H2OMOJOModel]
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final
val
dataFrameSerializer: Param[String]
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final
def
defaultCopy[T <: Params](extra: ParamMap): T
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final
val
defaultThreshold: DoubleParam
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final
val
detailedPredictionCol: Param[String]
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def
doubleArrayParam(name: String, doc: String): DoubleArrayParam
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def
doubleParam(name: String, doc: String): DoubleParam
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final
val
endTime: LongParam
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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val
eta: DoubleParam
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def
explainParam(param: Param[_]): String
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def
explainParams(): String
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def
extractAnomalyPredictionColContent(): Column
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def
extractBinomialPredictionColContent(): Column
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def
extractClusteringPredictionColContent(): Column
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def
extractCoxPHPredictionColContent(): Column
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def
extractCrossValidationMetricsSummary(modelJson: JsonObject): DataFrame
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def
extractDimReductionSimplePredictionColContent(): Column
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def
extractFeatureImportances(outputJson: JsonObject): DataFrame
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def
extractFeatureTypes(outputJson: JsonObject): Map[String, String]
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def
extractJsonFieldValue[T](outputJson: JsonObject, fieldName: String, getValue: (JsonElement) ⇒ T, defaultValue: T): T
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def
extractJsonTables(outputJson: JsonObject, fieldName: String): Array[DataFrame]
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def
extractMetrics(json: JsonObject, metricType: String): Map[String, Double]
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def
extractMetricsObject(json: JsonObject, metricType: String, algoName: String, modelCategory: internals.H2OModelCategory.Value, dataFrameSerializerGetter: () ⇒ String): H2OMetrics
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def
extractModelCategory(outputJson: JsonObject): internals.H2OModelCategory.Value
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def
extractModelSummary(outputJson: JsonObject): DataFrame
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def
extractMultinomialPredictionColContent(): Column
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def
extractOrdinalPredictionColContent(): Column
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final
def
extractParamMap(): ParamMap
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final
def
extractParamMap(extra: ParamMap): ParamMap
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def
extractParams(modelJson: JsonObject): Map[String, String]
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def
extractPredictionColContent(): Column
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def
extractRegressionPredictionColContent(): Column
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def
extractScoringHistory(outputJson: JsonObject): DataFrame
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def
extractWordEmbeddingPredictionColContent(): Column
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final
val
featuresCols: StringArrayParam
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def
finalize(): Unit
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def
floatParam(name: String, doc: String): FloatParam
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val
gainsliftBins: IntParam
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val
gamma: FloatParam
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final
def
get[T](param: Param[T]): Option[T]
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def
getAnomalyPredictionColSchema(): Seq[StructField]
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def
getAnomalyPredictionSchema(): StructType
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def
getAnomalyPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction
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def
getAucType(): String
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def
getBackend(): String
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def
getBinomialPredictionColSchema(): Seq[StructField]
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def
getBinomialPredictionSchema(): StructType
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def
getBinomialPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction
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def
getBooster(): String
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def
getBuildTreeOneNode(): Boolean
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def
getCalibrateModel(): Boolean
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def
getCategoricalEncoding(): String
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final
def
getClass(): Class[_]
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def
getClusteringPredictionColSchema(): Seq[StructField]
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def
getClusteringPredictionSchema(): StructType
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def
getClusteringPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction
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def
getColSampleByLevel(): Double
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def
getColSampleByNode(): Double
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def
getColSampleByTree(): Double
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def
getColSampleRate(): Double
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def
getColSampleRatePerTree(): Double
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def
getContributionsSchema(model: EasyPredictModelWrapper): DataType
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def
getConvertInvalidNumbersToNa(): Boolean
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def
getConvertUnknownCategoricalLevelsToNa(): Boolean
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def
getCoxPHPredictionColSchema(): Seq[StructField]
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def
getCoxPHPredictionSchema(): StructType
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def
getCoxPHPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction
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def
getCrossValidationMetrics(): Map[String, Double]
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def
getCrossValidationMetricsObject(): H2OMetrics
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def
getCrossValidationMetricsSummary(): DataFrame
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def
getCrossValidationModels(): Seq[H2OXGBoostMOJOModel.this.type]
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def
getCrossValidationModelsScoringHistory(): Array[DataFrame]
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def
getCurrentMetrics(): Map[String, Double]
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def
getCurrentMetricsObject(): H2OMetrics
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def
getDataFrameSerializer(): String
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final
def
getDefault[T](param: Param[T]): Option[T]
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def
getDefaultThreshold(): Double
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def
getDetailedPredictionCol(): String
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def
getDetailedPredictionColSchema(): Seq[StructField]
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def
getDimReductionPredictionColSchema(): Seq[StructField]
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def
getDimReductionPredictionSchema(): StructType
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def
getDimReductionPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction
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def
getDistribution(): String
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def
getDmatrixType(): String
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def
getDomainValues(): Map[String, Array[String]]
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def
getEndTime(): Long
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def
getEta(): Double
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def
getExportCheckpointsDir(): String
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def
getFeatureImportances(): DataFrame
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def
getFeatureTypes(): Map[String, String]
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def
getFeaturesCols(): Array[String]
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def
getFoldAssignment(): String
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def
getFoldCol(): String
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def
getGainsliftBins(): Int
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def
getGamma(): Float
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def
getGpuId(): Array[Int]
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def
getGrowPolicy(): String
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def
getIgnoreConstCols(): Boolean
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def
getIgnoredCols(): Array[String]
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def
getInteractionConstraints(): Array[Array[String]]
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def
getKeepCrossValidationFoldAssignment(): Boolean
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def
getKeepCrossValidationModels(): Boolean
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def
getKeepCrossValidationPredictions(): Boolean
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def
getLabelCol(): String
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def
getLearnRate(): Double
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def
getMaxAbsLeafnodePred(): Float
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def
getMaxBins(): Int
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def
getMaxDeltaStep(): Float
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def
getMaxDepth(): Int
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def
getMaxLeaves(): Int
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def
getMaxRuntimeSecs(): Double
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def
getMinChildWeight(): Double
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def
getMinRows(): Double
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def
getMinSplitImprovement(): Float
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def
getModelCategory(): String
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def
getModelDetails(): String
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def
getModelDetails(modelJson: JsonObject): String
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def
getModelJson(mojo: File): JsonObject
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def
getModelSummary(): DataFrame
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def
getMonotoneConstraints(): Map[String, Double]
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def
getMultinomialPredictionColSchema(): Seq[StructField]
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def
getMultinomialPredictionSchema(): StructType
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def
getMultinomialPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction
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def
getNamedMojoOutputColumns(): Boolean
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def
getNfolds(): Int
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def
getNormalizeType(): String
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def
getNthread(): Int
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def
getNtrees(): Int
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def
getOffsetCol(): String
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def
getOneDrop(): Boolean
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final
def
getOrDefault[T](param: Param[T]): T
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def
getOrdinalPredictionColSchema(): Seq[StructField]
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def
getOrdinalPredictionSchema(): StructType
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def
getOrdinalPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction
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def
getParam(paramName: String): Param[Any]
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def
getPredictionCol(): String
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def
getPredictionColSchema(): Seq[StructField]
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def
getPredictionSchema(): StructType
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def
getPredictionUDF(): UserDefinedFunction
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def
getQuietMode(): Boolean
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def
getRateDrop(): Float
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def
getRegAlpha(): Float
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def
getRegLambda(): Float
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def
getRegressionPredictionColSchema(): Seq[StructField]
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def
getRegressionPredictionSchema(): StructType
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def
getRegressionPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction
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def
getRelevantColumnNames(flatDataFrame: DataFrame, inputs: Array[String]): Array[String]
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def
getRunTime(): Long
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def
getSampleRate(): Double
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def
getSampleType(): String
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def
getSaveMatrixDirectory(): String
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def
getScalePosWeight(): Float
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def
getScoreEachIteration(): Boolean
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def
getScoreTreeInterval(): Int
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def
getScoringHistory(): DataFrame
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def
getSeed(): Long
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def
getSkipDrop(): Float
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def
getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType
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def
getStartTime(): Long
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def
getStoppingMetric(): String
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def
getStoppingRounds(): Int
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def
getStoppingTolerance(): Double
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def
getSubsample(): Double
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def
getTrainingMetrics(): Map[String, Double]
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def
getTrainingMetricsObject(): H2OMetrics
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def
getTrainingParams(): Map[String, String]
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def
getTreeMethod(): String
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def
getTweediePower(): Double
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def
getValidationMetrics(): Map[String, Double]
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def
getValidationMetricsObject(): H2OMetrics
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def
getWeightCol(): String
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def
getWithContributions(): Boolean
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def
getWithLeafNodeAssignments(): Boolean
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def
getWithStageResults(): Boolean
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def
getWordEmbeddingPredictionColSchema(): Seq[StructField]
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def
getWordEmbeddingPredictionSchema(): StructType
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def
getWordEmbeddingPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config], featureCols: Seq[String]): UserDefinedFunction
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final
def
hasDefault[T](param: Param[T]): Boolean
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def
hasParam(paramName: String): Boolean
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def
hasParent: Boolean
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def
hashCode(): Int
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val
ignoreConstCols: BooleanParam
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def
initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
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def
inputColumnNames: Array[String]
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def
intArrayParam(name: String, doc: String): IntArrayParam
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def
intParam(name: String, doc: String): IntParam
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final
def
isDefined(param: Param[_]): Boolean
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final
def
isInstanceOf[T0]: Boolean
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final
def
isSet(param: Param[_]): Boolean
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def
isTraceEnabled(): Boolean
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def
jsonFieldToDataFrame(outputJson: JsonObject, fieldName: String): DataFrame
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def
jsonFieldToDoubleArray(outputJson: JsonObject, fieldName: String): Array[Double]
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val
keepCrossValidationFoldAssignment: BooleanParam
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val
keepCrossValidationModels: BooleanParam
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val
keepCrossValidationPredictions: BooleanParam
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val
labelCol: Param[String]
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val
learnRate: DoubleParam
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def
log: Logger
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def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
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def
logDebug(msg: ⇒ String): Unit
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def
logError(msg: ⇒ String, throwable: Throwable): Unit
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def
logError(msg: ⇒ String): Unit
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def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
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def
logInfo(msg: ⇒ String): Unit
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def
logName: String
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def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
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def
logTrace(msg: ⇒ String): Unit
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def
logWarning(msg: ⇒ String, throwable: Throwable): Unit
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def
logWarning(msg: ⇒ String): Unit
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def
longParam(name: String, doc: String): LongParam
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val
maxAbsLeafnodePred: FloatParam
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val
maxBins: IntParam
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val
maxDeltaStep: FloatParam
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val
maxDepth: IntParam
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val
maxLeaves: IntParam
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val
maxRuntimeSecs: DoubleParam
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val
minChildWeight: DoubleParam
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val
minRows: DoubleParam
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val
minSplitImprovement: FloatParam
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-
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final
val
namedMojoOutputColumns: Param[Boolean]
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final
def
ne(arg0: AnyRef): Boolean
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val
nfolds: IntParam
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val
nonSerializableField: AnyRef
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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val
nthread: IntParam
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final
val
ntrees: IntParam
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def
nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam
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def
nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam
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def
nullableDoubleArrayParam(name: String, doc: String): NullableDoubleArrayParam
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def
nullableFloatArrayParam(name: String, doc: String): NullableFloatArrayParam
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def
nullableIntArrayParam(name: String, doc: String): NullableIntArrayParam
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def
nullableStringArrayArrayParam(name: String, doc: String): NullableStringArrayArrayParam
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def
nullableStringArrayParam(name: String, doc: String): NullableStringArrayParam
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def
nullableStringPairArrayParam(name: String, doc: String): NullableStringPairArrayParam
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def
nullableStringParam(name: String, doc: String): NullableStringParam
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val
oneDrop: BooleanParam
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def
outputColumnName: String
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def
param[T](name: String, doc: String): Param[T]
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lazy val
params: Array[Param[_]]
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final
val
predictionCol: Param[String]
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val
quietMode: BooleanParam
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val
rateDrop: FloatParam
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val
regAlpha: FloatParam
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val
regLambda: FloatParam
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final
val
runTime: LongParam
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val
sampleRate: DoubleParam
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def
save(path: String): Unit
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val
scalePosWeight: FloatParam
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val
scoreEachIteration: BooleanParam
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val
scoreTreeInterval: IntParam
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val
seed: LongParam
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final
def
set(paramPair: ParamPair[_]): H2OXGBoostMOJOModel.this.type
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final
def
set(param: String, value: Any): H2OXGBoostMOJOModel.this.type
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final
def
set[T](param: Param[T], value: T): H2OXGBoostMOJOModel.this.type
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def
setDataFrameSerializer(fullClassName: String): H2OXGBoostMOJOModel.this.type
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final
def
setDefault(paramPairs: ParamPair[_]*): H2OXGBoostMOJOModel.this.type
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final
def
setDefault[T](param: Param[T], value: T): H2OXGBoostMOJOModel.this.type
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def
setMojo(mojo: InputStream, mojoName: String): H2OXGBoostMOJOModel.this.type
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def
setMojo(mojo: InputStream): H2OXGBoostMOJOModel.this.type
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val
skipDrop: FloatParam
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final
val
startTime: LongParam
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val
stoppingRounds: IntParam
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val
stoppingTolerance: DoubleParam
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def
stringArrayParam(name: String, doc: String): StringArrayParam
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def
stringParam(name: String, doc: String): Param[String]
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val
subsample: DoubleParam
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final
def
synchronized[T0](arg0: ⇒ T0): T0
-
def
toString(): String
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-
-
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def
transform(dataset: Dataset[_]): DataFrame
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def
transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
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def
transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
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def
transformSchema(schema: StructType): StructType
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def
transformSchema(schema: StructType, logging: Boolean): StructType
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val
tweediePower: DoubleParam
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val
uid: String
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def
unwrapMojoModel(): MojoModel
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-
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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final
val
withContributions: BooleanParam
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final
val
withLeafNodeAssignments: BooleanParam
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final
val
withStageResults: BooleanParam
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def
write: MLWriter
Inherited from Logging
Inherited from MLWritable
Inherited from HasMojo
Inherited from Transformer
Inherited from PipelineStage
Inherited from Logging
Inherited from Params
Inherited from Serializable
Inherited from Serializable
Inherited from Identifiable
Inherited from AnyRef
Inherited from Any