H2ODeepLearningMOJOModel

Instance Constructors

new H2ODeepLearningMOJOModel(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
val activation: NullableStringParam

Attributes
protected
val adaptiveRate: BooleanParam

Attributes
protected
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
val aucType: NullableStringParam

Attributes
protected
val autoencoder: BooleanParam

Attributes
protected
val averageActivation: DoubleParam

Attributes
protected
val balanceClasses: BooleanParam

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

Attributes
protected
Definition Classes
ParameterConstructorMethods
val calculateFeatureImportances: BooleanParam

Attributes
protected
val categoricalEncoding: NullableStringParam

Attributes
protected
val classSamplingFactors: NullableFloatArrayParam

Attributes
protected
val classificationStop: DoubleParam

Attributes
protected
final def clear(param: Param[_]): H2ODeepLearningMOJOModel.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
val diagnostics: BooleanParam

Attributes
protected
val distribution: NullableStringParam

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

Attributes
protected
Definition Classes
ParameterConstructorMethods
def doubleParam(name: String, doc: String): DoubleParam

Attributes
protected
Definition Classes
ParameterConstructorMethods
val elasticAveraging: BooleanParam

Attributes
protected
val elasticAveragingMovingRate: DoubleParam

Attributes
protected
val elasticAveragingRegularization: DoubleParam

Attributes
protected
val epochs: DoubleParam

Attributes
protected
val epsilon: DoubleParam

Attributes
protected
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
val exportWeightsAndBiases: BooleanParam

Attributes
protected
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
val fastMode: BooleanParam

Attributes
protected
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] )
def floatParam(name: String, doc: String): FloatParam

Attributes
protected
Definition Classes
ParameterConstructorMethods
val foldAssignment: NullableStringParam

Attributes
protected
val foldCol: NullableStringParam

Attributes
protected
val forceLoadBalance: BooleanParam

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

Definition Classes
Params
def getActivation(): String
def getAdaptiveRate(): Boolean
def getAnomalyPredictionColSchema(): Seq[StructField]

Definition Classes
H2OMOJOPredictionAnomaly
def getAnomalyPredictionSchema(): StructType

Definition Classes
H2OMOJOPredictionAnomaly
def getAnomalyPredictionUDF(): UserDefinedFunction

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

Definition Classes
H2OMOJOPredictionAutoEncoder
def getAutoEncoderPredictionSchema(): StructType

Definition Classes
H2OMOJOPredictionAutoEncoder
def getAutoEncoderPredictionUDF(): UserDefinedFunction

Definition Classes
H2OMOJOPredictionAutoEncoder
def getAutoencoder(): Boolean
def getAverageActivation(): Double
def getBalanceClasses(): Boolean
def getBinomialPredictionColSchema(): Seq[StructField]

Definition Classes
H2OMOJOPredictionBinomial
def getBinomialPredictionSchema(): StructType

Definition Classes
H2OMOJOPredictionBinomial
def getBinomialPredictionUDF(): UserDefinedFunction

Definition Classes
H2OMOJOPredictionBinomial
def getCalculateFeatureImportances(): Boolean

Definition Classes
H2ODeepLearningMOJOModel → HasDeprecatedVariableImportancesOnMOJO
def getCategoricalEncoding(): String
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def getClassSamplingFactors(): Array[Float]
def getClassificationStop(): Double
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 getDiagnostics(): Boolean
def getDimReductionPredictionColSchema(): Seq[StructField]

Definition Classes
H2OMOJOPredictionDimReduction
def getDimReductionPredictionSchema(): StructType

Definition Classes
H2OMOJOPredictionDimReduction
def getDimReductionPredictionUDF(): UserDefinedFunction

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

Definition Classes
H2OMOJOModel
def getElasticAveraging(): Boolean
def getElasticAveragingMovingRate(): Double
def getElasticAveragingRegularization(): Double
def getEpochs(): Double
def getEpsilon(): Double
def getExportCheckpointsDir(): String
def getExportWeightsAndBiases(): Boolean
def getFastMode(): Boolean
def getFeatureImportances(): DataFrame

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

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

Definition Classes
H2OBaseMOJOParams
def getFoldAssignment(): String
def getFoldCol(): String
def getForceLoadBalance(): Boolean
def getHidden(): Array[Int]
def getHiddenDropoutRatios(): Array[Double]
def getHuberAlpha(): Double
def getIgnoreConstCols(): Boolean
def getIgnoredCols(): Array[String]

Definition Classes
HasIgnoredColsOnMOJO
def getInitialWeightDistribution(): String
def getInitialWeightScale(): Double
def getInputDropoutRatio(): Double
def getKeepCrossValidationFoldAssignment(): Boolean
def getKeepCrossValidationModels(): Boolean
def getKeepCrossValidationPredictions(): Boolean
def getL1(): Double
def getL2(): Double
def getLabelCol(): String
def getLoss(): String
def getMaxAfterBalanceSize(): Float
def getMaxCategoricalFeatures(): Int
def getMaxRuntimeSecs(): Double
def getMaxW2(): Float
def getMiniBatchSize(): Int
def getMissingValuesHandling(): String
def getModelCategory(): String

Definition Classes
H2OMOJOModel
def getModelDetails(): String

Definition Classes
H2OMOJOModel
def getMojo(): File

Attributes
protected
Definition Classes
HasMojo
def getMomentumRamp(): Double
def getMomentumStable(): Double
def getMomentumStart(): Double
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 getNesterovAcceleratedGradient(): Boolean
def getNfolds(): Int
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 getOverwriteWithBestModel(): Boolean
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 getQuantileAlpha(): Double
def getQuietMode(): Boolean
def getRate(): Double
def getRateAnnealing(): Double
def getRateDecay(): Double
def getRegressionPredictionColSchema(): Seq[StructField]

Definition Classes
H2OMOJOPredictionRegression
def getRegressionPredictionSchema(): StructType

Definition Classes
H2OMOJOPredictionRegression
def getRegressionPredictionUDF(): UserDefinedFunction

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

Attributes
protected
Definition Classes
H2OMOJOFlattenedInput
def getReplicateTrainingData(): Boolean
def getReproducible(): Boolean
def getRho(): Double
def getScoreDutyCycle(): Double
def getScoreEachIteration(): Boolean
def getScoreInterval(): Double
def getScoreTrainingSamples(): Long
def getScoreValidationSamples(): Long
def getScoreValidationSampling(): String
def getScoringHistory(): DataFrame

Definition Classes
H2OMOJOModel
def getSeed(): Long
def getShuffleTrainingData(): Boolean
def getSingleNodeMode(): Boolean
def getSparse(): Boolean
def getSparsityBeta(): Double
def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

Attributes
protected
Definition Classes
PredictionWithStageProbabilities
def getStandardize(): Boolean
def getStoppingMetric(): String
def getStoppingRounds(): Int
def getStoppingTolerance(): Double
def getTargetRatioCommToComp(): Double
def getTrainSamplesPerIteration(): Long
def getTrainingMetrics(): Map[String, Double]

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

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

Definition Classes
H2OMOJOModel
def getVariableImportances(): Boolean

Definition Classes
HasDeprecatedVariableImportancesOnMOJO
Annotations
@DeprecatedMethod( "getCalculateFeatureImportances" , "3.36" )
def getWeightCol(): String
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
val hidden: IntArrayParam

Attributes
protected
val hiddenDropoutRatios: NullableDoubleArrayParam

Attributes
protected
val huberAlpha: DoubleParam

Attributes
protected
val ignoreConstCols: BooleanParam

Attributes
protected
val initialWeightDistribution: NullableStringParam

Attributes
protected
val initialWeightScale: DoubleParam

Attributes
protected
def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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

Attributes
protected
Definition Classes
H2OMOJOModelBase → H2OMOJOFlattenedInput
val inputDropoutRatio: DoubleParam

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
def isTraceEnabled(): Boolean

Attributes
protected
Definition Classes
Logging
val keepCrossValidationFoldAssignment: BooleanParam

Attributes
protected
val keepCrossValidationModels: BooleanParam

Attributes
protected
val keepCrossValidationPredictions: BooleanParam

Attributes
protected
val l1: DoubleParam

Attributes
protected
val l2: DoubleParam

Attributes
protected
val labelCol: Param[String]

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

Attributes
protected
Definition Classes
ParameterConstructorMethods
val loss: NullableStringParam

Attributes
protected
val maxAfterBalanceSize: FloatParam

Attributes
protected
val maxCategoricalFeatures: IntParam

Attributes
protected
val maxRuntimeSecs: DoubleParam

Attributes
protected
val maxW2: FloatParam

Attributes
protected
val miniBatchSize: IntParam

Attributes
protected
val missingValuesHandling: NullableStringParam

Attributes
protected
final val modelCategory: NullableStringParam

Attributes
protected
Definition Classes
H2OMOJOModel
final val modelDetails: NullableStringParam

Attributes
protected
Definition Classes
H2OMOJOModel
val momentumRamp: DoubleParam

Attributes
protected
val momentumStable: DoubleParam

Attributes
protected
val momentumStart: DoubleParam

Attributes
protected
final val namedMojoOutputColumns: Param[Boolean]

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

Definition Classes
AnyRef
val nesterovAcceleratedGradient: BooleanParam

Attributes
protected
val nfolds: IntParam

Attributes
protected
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
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
def outputColumnName: String

Attributes
protected
Definition Classes
H2OMOJOModel → H2OMOJOModelBase → H2OMOJOFlattenedInput
val overwriteWithBestModel: BooleanParam

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

Attributes
protected
Definition Classes
ParameterConstructorMethods
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
val quantileAlpha: DoubleParam

Attributes
protected
val quietMode: BooleanParam

Attributes
protected
val rate: DoubleParam

Attributes
protected
val rateAnnealing: DoubleParam

Attributes
protected
val rateDecay: DoubleParam

Attributes
protected
val regressionStop: DoubleParam

Attributes
protected
val replicateTrainingData: BooleanParam

Attributes
protected
val reproducible: BooleanParam

Attributes
protected
val rho: DoubleParam

Attributes
protected
def save(path: String): Unit

Definition Classes
MLWritable
Annotations
@Since( "1.6.0" ) @throws( ... )
val scoreDutyCycle: DoubleParam

Attributes
protected
val scoreEachIteration: BooleanParam

Attributes
protected
val scoreInterval: DoubleParam

Attributes
protected
val scoreTrainingSamples: LongParam

Attributes
protected
val scoreValidationSamples: LongParam

Attributes
protected
val scoreValidationSampling: NullableStringParam

Attributes
protected
final val scoringHistory: NullableDataFrameParam

Attributes
protected
Definition Classes
H2OMOJOModel
val seed: LongParam

Attributes
protected
final def set(paramPair: ParamPair[_]): H2ODeepLearningMOJOModel.this.type

Attributes
protected
Definition Classes
Params
final def set(param: String, value: Any): H2ODeepLearningMOJOModel.this.type

Attributes
protected
Definition Classes
Params
final def set[T](param: Param[T], value: T): H2ODeepLearningMOJOModel.this.type

Definition Classes
Params
final def setDefault(paramPairs: ParamPair[_]*): H2ODeepLearningMOJOModel.this.type

Attributes
protected
Definition Classes
Params
final def setDefault[T](param: Param[T], value: T): H2ODeepLearningMOJOModel.this.type

Attributes
protected
Definition Classes
Params
def setMojo(mojo: File): H2ODeepLearningMOJOModel.this.type

Definition Classes
HasMojo
def setMojo(mojo: InputStream, mojoName: String): H2ODeepLearningMOJOModel.this.type

Definition Classes
HasMojo
def setMojo(mojo: InputStream): H2ODeepLearningMOJOModel.this.type

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

Definition Classes
Model
val shuffleTrainingData: BooleanParam

Attributes
protected
val singleNodeMode: BooleanParam

Attributes
protected
val sparse: BooleanParam

Attributes
protected
val sparsityBeta: DoubleParam

Attributes
protected
val standardize: BooleanParam

Attributes
protected
val stoppingMetric: NullableStringParam

Attributes
protected
val stoppingRounds: IntParam

Attributes
protected
val stoppingTolerance: 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
val targetRatioCommToComp: DoubleParam

Attributes
protected
def toString(): String

Definition Classes
Identifiable → AnyRef → Any
val trainSamplesPerIteration: LongParam

Attributes
protected
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 tweediePower: DoubleParam

Attributes
protected
val uid: String

Definition Classes
H2ODeepLearningMOJOModel → 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
val useAllFactorLevels: BooleanParam

Attributes
protected
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( ... )
val weightCol: NullableStringParam

Attributes
protected
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 H2ODeepLearningMOJOModel | package models

class H2ODeepLearningMOJOModel extends H2OSupervisedMOJOModel with ParameterConstructorMethods with Logging with HasIgnoredColsOnMOJO with HasDeprecatedVariableImportancesOnMOJO

Instance Constructors

new H2ODeepLearningMOJOModel(uid: String)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

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

final def ==(arg0: Any): Boolean

val activation: NullableStringParam

val adaptiveRate: BooleanParam

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

val aucType: NullableStringParam

val autoencoder: BooleanParam

val averageActivation: DoubleParam

val balanceClasses: BooleanParam

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

val calculateFeatureImportances: BooleanParam

val categoricalEncoding: NullableStringParam

val classSamplingFactors: NullableFloatArrayParam

val classificationStop: DoubleParam

final def clear(param: Param[_]): H2ODeepLearningMOJOModel.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]

val diagnostics: BooleanParam

val distribution: NullableStringParam

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

def doubleParam(name: String, doc: String): DoubleParam

val elasticAveraging: BooleanParam

val elasticAveragingMovingRate: DoubleParam

val elasticAveragingRegularization: DoubleParam

val epochs: DoubleParam

val epsilon: DoubleParam

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

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

def explainParams(): String

val exportCheckpointsDir: NullableStringParam

val exportWeightsAndBiases: BooleanParam

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

val fastMode: BooleanParam

final val featureImportances: NullableDataFrameParam

final val featureTypes: MapStringStringParam

final val featuresCols: StringArrayParam

def finalize(): Unit

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

val foldAssignment: NullableStringParam

val foldCol: NullableStringParam

val forceLoadBalance: BooleanParam

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

def getActivation(): String

def getAdaptiveRate(): Boolean

def getAnomalyPredictionColSchema(): Seq[StructField]

def getAnomalyPredictionSchema(): StructType

def getAnomalyPredictionUDF(): UserDefinedFunction

def getAucType(): String

def getAutoEncoderPredictionColSchema(): Seq[StructField]

def getAutoEncoderPredictionSchema(): StructType

def getAutoEncoderPredictionUDF(): UserDefinedFunction