H2OTreeBasedSupervisedMOJOModel

Instance Constructors

new H2OTreeBasedSupervisedMOJOModel(uid: String)

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
def applyPredictionUdf(dataset: Dataset[_], udfConstructor: (Array[String]) ⇒ UserDefinedFunction): DataFrame

Attributes
protected
Definition Classes
H2OMOJOFlattenedInput
def applyPredictionUdfToFlatDataFrame(flatDataFrame: DataFrame, udfConstructor: (Array[String]) ⇒ UserDefinedFunction, inputs: Array[String]): DataFrame

Attributes
protected
Definition Classes
H2OSupervisedMOJOModel → H2OMOJOModel → H2OMOJOFlattenedInput
final def asInstanceOf[T0]: T0

Definition Classes
Any
final def clear(param: Param[_]): H2OTreeBasedSupervisedMOJOModel.this.type

Definition Classes
Params
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
final val convertInvalidNumbersToNa: BooleanParam

Attributes
protected
Definition Classes
H2OBaseMOJOParams
final val convertUnknownCategoricalLevelsToNa: BooleanParam

Attributes
protected
Definition Classes
H2OBaseMOJOParams
def copy(extra: ParamMap): H2OMOJOModel

Definition Classes
H2OMOJOModel → Model → Transformer → PipelineStage → Params
def copyValues[T <: Params](to: T, extra: ParamMap): T

Attributes
protected
Definition Classes
Params
final val crossValidationMetrics: MapStringDoubleParam

Attributes
protected
Definition Classes
H2OMOJOModel
final def defaultCopy[T <: Params](extra: ParamMap): T

Attributes
protected
Definition Classes
Params
final val detailedPredictionCol: Param[String]

Attributes
protected
Definition Classes
H2OBaseMOJOParams
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
def extractAnomalyPredictionColContent(): Column

Definition Classes
H2OMOJOPredictionAnomaly
def extractAutoEncoderPredictionColContent(): Column

Definition Classes
H2OMOJOPredictionAutoEncoder
def extractBinomialPredictionColContent(): Column

Definition Classes
H2OMOJOPredictionBinomial
def extractClusteringPredictionColContent(): Column

Definition Classes
H2OMOJOPredictionClustering
def extractCoxPHPredictionColContent(): Column

Definition Classes
H2OMOJOPredictionCoxPH
def extractDimReductionSimplePredictionColContent(): Column

Definition Classes
H2OMOJOPredictionDimReduction
def extractMultinomialPredictionColContent(): Column

Definition Classes
H2OMOJOPredictionMultinomial
def extractOrdinalPredictionColContent(): Column

Definition Classes
H2OMOJOPredictionOrdinal
final def extractParamMap(): ParamMap

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

Definition Classes
Params
def extractPredictionColContent(): Column

Definition Classes
H2OMOJOPrediction
def extractRegressionPredictionColContent(): Column

Definition Classes
H2OMOJOPredictionRegression
def extractWordEmbeddingPredictionColContent(): Column

Definition Classes
H2OMOJOPredictionWordEmbedding
final val featureImportances: NullableDataFrameParam

Attributes
protected
Definition Classes
H2OMOJOModel
final val featureTypes: MapStringStringParam

Attributes
protected
Definition Classes
H2OMOJOModelBase
final val featuresCols: StringArrayParam

Attributes
protected
Definition Classes
H2OBaseMOJOParams
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def get[T](param: Param[T]): Option[T]

Definition Classes
Params
def getAnomalyPredictionColSchema(): Seq[StructField]

Definition Classes
H2OMOJOPredictionAnomaly
def getAnomalyPredictionSchema(): StructType

Definition Classes
H2OMOJOPredictionAnomaly
def getAnomalyPredictionUDF(): UserDefinedFunction

Definition Classes
H2OMOJOPredictionAnomaly
def getAutoEncoderPredictionColSchema(): Seq[StructField]

Definition Classes
H2OMOJOPredictionAutoEncoder
def getAutoEncoderPredictionSchema(): StructType

Definition Classes
H2OMOJOPredictionAutoEncoder
def getAutoEncoderPredictionUDF(): UserDefinedFunction

Definition Classes
H2OMOJOPredictionAutoEncoder
def getBinomialPredictionColSchema(): Seq[StructField]

Definition Classes
H2OMOJOPredictionBinomial
def getBinomialPredictionSchema(): StructType

Definition Classes
H2OMOJOPredictionBinomial
def getBinomialPredictionUDF(): UserDefinedFunction

Definition Classes
H2OMOJOPredictionBinomial
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def getClusteringPredictionColSchema(): Seq[StructField]

Definition Classes
H2OMOJOPredictionClustering
def getClusteringPredictionSchema(): StructType

Definition Classes
H2OMOJOPredictionClustering
def getClusteringPredictionUDF(): UserDefinedFunction

Definition Classes
H2OMOJOPredictionClustering
def getContributionsSchema(model: EasyPredictModelWrapper): DataType

Attributes
protected
Definition Classes
PredictionWithContributions
def getConvertInvalidNumbersToNa(): Boolean

Definition Classes
H2OBaseMOJOParams
def getConvertUnknownCategoricalLevelsToNa(): Boolean

Definition Classes
H2OBaseMOJOParams
def getCoxPHPredictionColSchema(): Seq[StructField]

Definition Classes
H2OMOJOPredictionCoxPH
def getCoxPHPredictionSchema(): StructType

Definition Classes
H2OMOJOPredictionCoxPH
def getCoxPHPredictionUDF(): UserDefinedFunction

Definition Classes
H2OMOJOPredictionCoxPH
def getCrossValidationMetrics(): Map[String, Double]

Definition Classes
H2OMOJOModel
def getCurrentMetrics(): Map[String, Double]

Definition Classes
H2OMOJOModel
final def getDefault[T](param: Param[T]): Option[T]

Definition Classes
Params
def getDetailedPredictionCol(): String

Definition Classes
H2OBaseMOJOParams
def getDetailedPredictionColSchema(): Seq[StructField]

Definition Classes
H2OMOJOPrediction
def getDimReductionPredictionColSchema(): Seq[StructField]

Definition Classes
H2OMOJOPredictionDimReduction
def getDimReductionPredictionSchema(): StructType

Definition Classes
H2OMOJOPredictionDimReduction
def getDimReductionPredictionUDF(): UserDefinedFunction

Definition Classes
H2OMOJOPredictionDimReduction
def getDomainValues(): Map[String, Array[String]]

Definition Classes
H2OMOJOModel
def getFeatureImportances(): DataFrame

Definition Classes
H2OMOJOModel
def getFeatureTypes(): Map[String, String]

Definition Classes
H2OMOJOModelBase
def getFeaturesCols(): Array[String]

Definition Classes
H2OBaseMOJOParams
def getModelCategory(): String

Definition Classes
H2OMOJOModel
def getModelDetails(): String

Definition Classes
H2OMOJOModel
def getMojo(): File

Attributes
protected
Definition Classes
HasMojo
def getMultinomialPredictionColSchema(): Seq[StructField]

Definition Classes
H2OMOJOPredictionMultinomial
def getMultinomialPredictionSchema(): StructType

Definition Classes
H2OMOJOPredictionMultinomial
def getMultinomialPredictionUDF(): UserDefinedFunction

Definition Classes
H2OMOJOPredictionMultinomial
def getNamedMojoOutputColumns(): Boolean

Definition Classes
H2OBaseMOJOParams
def getNtrees(): Int

Definition Classes
H2OTreeBasedMOJOParams
def getOffsetCol(): String

Definition Classes
H2OSupervisedMOJOParams
final def getOrDefault[T](param: Param[T]): T

Definition Classes
Params
def getOrdinalPredictionColSchema(): Seq[StructField]

Definition Classes
H2OMOJOPredictionOrdinal
def getOrdinalPredictionSchema(): StructType

Definition Classes
H2OMOJOPredictionOrdinal
def getOrdinalPredictionUDF(): UserDefinedFunction

Definition Classes
H2OMOJOPredictionOrdinal
def getParam(paramName: String): Param[Any]

Definition Classes
Params
def getPredictionCol(): String

Definition Classes
H2OBaseMOJOParams
def getPredictionColSchema(): Seq[StructField]

Definition Classes
H2OMOJOPrediction
def getPredictionSchema(): StructType

Definition Classes
H2OMOJOPrediction
def getPredictionUDF(): UserDefinedFunction

Definition Classes
H2OMOJOPrediction
def getRegressionPredictionColSchema(): Seq[StructField]

Definition Classes
H2OMOJOPredictionRegression
def getRegressionPredictionSchema(): StructType

Definition Classes
H2OMOJOPredictionRegression
def getRegressionPredictionUDF(): UserDefinedFunction

Definition Classes
H2OMOJOPredictionRegression
def getRelevantColumnNames(flatDataFrame: DataFrame, inputs: Array[String]): Array[String]

Attributes
protected
Definition Classes
H2OMOJOFlattenedInput
def getScoringHistory(): DataFrame

Definition Classes
H2OMOJOModel
def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

Attributes
protected
Definition Classes
PredictionWithStageProbabilities
def getTrainingMetrics(): Map[String, Double]

Definition Classes
H2OMOJOModel
def getTrainingParams(): Map[String, String]

Definition Classes
H2OMOJOModel
def getValidationMetrics(): Map[String, Double]

Definition Classes
H2OMOJOModel
def getWithContributions(): Boolean

Definition Classes
H2OBaseMOJOParams
def getWithDetailedPredictionCol(): Boolean

Definition Classes
H2OBaseMOJOParams
Annotations
@DeprecatedMethod( x$2 , x$1 )
def getWithLeafNodeAssignments(): Boolean

Definition Classes
H2OBaseMOJOParams
def getWithStageResults(): Boolean

Definition Classes
H2OBaseMOJOParams
def getWordEmbeddingPredictionColSchema(): Seq[StructField]

Definition Classes
H2OMOJOPredictionWordEmbedding
def getWordEmbeddingPredictionSchema(): StructType

Definition Classes
H2OMOJOPredictionWordEmbedding
def getWordEmbeddingPredictionUDF(): UserDefinedFunction

Definition Classes
H2OMOJOPredictionWordEmbedding
final def hasDefault[T](param: Param[T]): Boolean

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

Definition Classes
Params
def hasParent: Boolean

Definition Classes
Model
def hashCode(): Int

Definition Classes
AnyRef → Any
def initializeLogIfNecessary(isInterpreter: Boolean): Unit

Attributes
protected
Definition Classes
Logging
def inputColumnNames: Array[String]

Attributes
protected
Definition Classes
H2OMOJOModelBase → H2OMOJOFlattenedInput
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
def isTraceEnabled(): Boolean

Attributes
protected
Definition Classes
Logging
def log: Logger

Attributes
protected
Definition Classes
Logging
def logDebug(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logDebug(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logError(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logError(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logInfo(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logInfo(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logName: String

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
final val modelCategory: NullableStringParam

Attributes
protected
Definition Classes
H2OMOJOModel
final val modelDetails: NullableStringParam

Attributes
protected
Definition Classes
H2OMOJOModel
final val namedMojoOutputColumns: Param[Boolean]

Attributes
protected
Definition Classes
H2OBaseMOJOParams
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
final val ntrees: IntParam

Attributes
protected
Definition Classes
H2OTreeBasedMOJOParams
def outputColumnName: String

Attributes
protected
Definition Classes
H2OMOJOModel → H2OMOJOModelBase → H2OMOJOFlattenedInput
lazy val params: Array[Param[_]]

Definition Classes
Params
var parent: Estimator[H2OMOJOModel]

Definition Classes
Model
final val predictionCol: Param[String]

Attributes
protected
Definition Classes
H2OBaseMOJOParams
def save(path: String): Unit

Definition Classes
MLWritable
Annotations
@Since( "1.6.0" ) @throws( ... )
final val scoringHistory: NullableDataFrameParam

Attributes
protected
Definition Classes
H2OMOJOModel
final def set(paramPair: ParamPair[_]): H2OTreeBasedSupervisedMOJOModel.this.type

Attributes
protected
Definition Classes
Params
final def set(param: String, value: Any): H2OTreeBasedSupervisedMOJOModel.this.type

Attributes
protected
Definition Classes
Params
final def set[T](param: Param[T], value: T): H2OTreeBasedSupervisedMOJOModel.this.type

Definition Classes
Params
final def setDefault(paramPairs: ParamPair[_]*): H2OTreeBasedSupervisedMOJOModel.this.type

Attributes
protected
Definition Classes
Params
final def setDefault[T](param: Param[T], value: T): H2OTreeBasedSupervisedMOJOModel.this.type

Attributes
protected
Definition Classes
Params
def setMojo(mojo: File): H2OTreeBasedSupervisedMOJOModel.this.type

Definition Classes
HasMojo
def setMojo(mojo: InputStream, mojoName: String): H2OTreeBasedSupervisedMOJOModel.this.type

Definition Classes
HasMojo
def setMojo(mojo: InputStream): H2OTreeBasedSupervisedMOJOModel.this.type

Definition Classes
HasMojo
def setParent(parent: Estimator[H2OMOJOModel]): H2OMOJOModel

Definition Classes
Model
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
Identifiable → AnyRef → Any
final val trainingMetrics: MapStringDoubleParam

Attributes
protected
Definition Classes
H2OMOJOModel
final val trainingParams: MapStringStringParam

Attributes
protected
Definition Classes
H2OMOJOModel
def transform(dataset: Dataset[_]): DataFrame

Definition Classes
H2OMOJOModel → Transformer
def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

Definition Classes
Transformer
Annotations
@Since( "2.0.0" )
def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

Definition Classes
Transformer
Annotations
@Since( "2.0.0" ) @varargs()
def transformSchema(schema: StructType): StructType

Definition Classes
H2OSupervisedMOJOModel → H2OMOJOModelBase → PipelineStage
Annotations
@DeveloperApi()
def transformSchema(schema: StructType, logging: Boolean): StructType

Attributes
protected
Definition Classes
PipelineStage
Annotations
@DeveloperApi()
val uid: String

Definition Classes
H2OTreeBasedSupervisedMOJOModel → H2OSupervisedMOJOModel → H2OMOJOModel → Identifiable
def unwrapMojoModel(): MojoModel

The method returns an internal H2O-3 mojo model, which can be subsequently used with EasyPredictModelWrapper to perform predictions on individual rows.
The method returns an internal H2O-3 mojo model, which can be subsequently used with EasyPredictModelWrapper to perform predictions on individual rows.

Definition Classes
H2OMOJOModel
final val validationMetrics: MapStringDoubleParam

Attributes
protected
Definition Classes
H2OMOJOModel
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( ... )
final val withContributions: BooleanParam

Attributes
protected
Definition Classes
H2OBaseMOJOParams
final val withDetailedPredictionCol: BooleanParam

Attributes
protected
Definition Classes
H2OBaseMOJOParams
final val withLeafNodeAssignments: BooleanParam

Attributes
protected
Definition Classes
H2OBaseMOJOParams
final val withStageResults: BooleanParam

Attributes
protected
Definition Classes
H2OBaseMOJOParams
def write: MLWriter

Definition Classes
H2OMOJOWritable → MLWritable

Related Docs: object H2OTreeBasedSupervisedMOJOModel | package models

class H2OTreeBasedSupervisedMOJOModel extends H2OSupervisedMOJOModel with H2OTreeBasedMOJOParams with H2OSupervisedMOJOParams

Instance Constructors

new H2OTreeBasedSupervisedMOJOModel(uid: String)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

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

final def ==(arg0: Any): Boolean

def applyPredictionUdf(dataset: Dataset[_], udfConstructor: (Array[String]) ⇒ UserDefinedFunction): DataFrame

def applyPredictionUdfToFlatDataFrame(flatDataFrame: DataFrame, udfConstructor: (Array[String]) ⇒ UserDefinedFunction, inputs: Array[String]): DataFrame

final def asInstanceOf[T0]: T0

final def clear(param: Param[_]): H2OTreeBasedSupervisedMOJOModel.this.type

def clone(): AnyRef

final val convertInvalidNumbersToNa: BooleanParam

final val convertUnknownCategoricalLevelsToNa: BooleanParam

def copy(extra: ParamMap): H2OMOJOModel

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

final val crossValidationMetrics: MapStringDoubleParam

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

final val detailedPredictionCol: Param[String]

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

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

def explainParams(): String

def extractAnomalyPredictionColContent(): Column

def extractAutoEncoderPredictionColContent(): Column

def extractBinomialPredictionColContent(): Column

def extractClusteringPredictionColContent(): Column

def extractCoxPHPredictionColContent(): Column

def extractDimReductionSimplePredictionColContent(): Column

def extractMultinomialPredictionColContent(): Column

def extractOrdinalPredictionColContent(): Column

final def extractParamMap(): ParamMap

final def extractParamMap(extra: ParamMap): ParamMap

def extractPredictionColContent(): Column

def extractRegressionPredictionColContent(): Column

def extractWordEmbeddingPredictionColContent(): Column

final val featureImportances: NullableDataFrameParam

final val featureTypes: MapStringStringParam

final val featuresCols: StringArrayParam

def finalize(): Unit

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

def getAnomalyPredictionColSchema(): Seq[StructField]

def getAnomalyPredictionSchema(): StructType

def getAnomalyPredictionUDF(): UserDefinedFunction

def getAutoEncoderPredictionColSchema(): Seq[StructField]

def getAutoEncoderPredictionSchema(): StructType

def getAutoEncoderPredictionUDF(): UserDefinedFunction

def getBinomialPredictionColSchema(): Seq[StructField]

def getBinomialPredictionSchema(): StructType

def getBinomialPredictionUDF(): UserDefinedFunction

final def getClass(): Class[_]

def getClusteringPredictionColSchema(): Seq[StructField]

def getClusteringPredictionSchema(): StructType

def getClusteringPredictionUDF(): UserDefinedFunction

def getContributionsSchema(model: EasyPredictModelWrapper): DataType

def getConvertInvalidNumbersToNa(): Boolean

def getConvertUnknownCategoricalLevelsToNa(): Boolean

def getCoxPHPredictionColSchema(): Seq[StructField]

def getCoxPHPredictionSchema(): StructType

def getCoxPHPredictionUDF(): UserDefinedFunction

def getCrossValidationMetrics(): Map[String, Double]

def getCurrentMetrics(): Map[String, Double]

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

def getDetailedPredictionCol(): String

def getDetailedPredictionColSchema(): Seq[StructField]

def getDimReductionPredictionColSchema(): Seq[StructField]

def getDimReductionPredictionSchema(): StructType

def getDimReductionPredictionUDF(): UserDefinedFunction

def getDomainValues(): Map[String, Array[String]]

def getFeatureImportances(): DataFrame

def getFeatureTypes(): Map[String, String]

def getFeaturesCols(): Array[String]

def getModelCategory(): String

def getModelDetails(): String

def getMojo(): File

def getMultinomialPredictionColSchema(): Seq[StructField]

def getMultinomialPredictionSchema(): StructType