H2OAutoEncoderMOJOModel

Instance Constructors

new H2OAutoEncoderMOJOModel(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
H2OMOJOModel → H2OMOJOFlattenedInput
final def asInstanceOf[T0]: T0

Definition Classes
Any
val averageActivation: DoubleParam

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

Attributes
protected
Definition Classes
ParameterConstructorMethods
val calculateFeatureImportances: BooleanParam

Attributes
protected
val categoricalEncoding: NullableStringParam

Attributes
protected
final def clear(param: Param[_]): H2OAutoEncoderMOJOModel.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): H2OFeatureMOJOModel

Definition Classes
H2OFeatureMOJOModel → H2OMOJOModel → Model → Transformer → PipelineStage → Params
def copyExtraParams(to: H2OAutoEncoderExtraParams): Unit

Attributes
protected
Definition Classes
H2OAutoEncoderExtraParams
def copyValues[T <: Params](to: T, extra: ParamMap): T

Attributes
protected
Definition Classes
Params
final val crossValidationMetrics: MapStringDoubleParam

Attributes
protected
Definition Classes
H2OMOJOModel
final val crossValidationMetricsObject: NullableMetricsParam

Attributes
protected
Definition Classes
H2OMOJOModel
final val crossValidationMetricsSummary: NullableDataFrameParam

Attributes
protected
Definition Classes
H2OMOJOModel
var crossValidationModels: Array[H2OMOJOModel]

Attributes
protected
Definition Classes
H2OMOJOModel
final val dataFrameSerializer: Param[String]

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

Attributes
protected
Definition Classes
Params
final val defaultThreshold: DoubleParam

Attributes
protected
Definition Classes
H2OMOJOModel
val diagnostics: BooleanParam

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
final val endTime: LongParam

Attributes
protected
Definition Classes
H2OMOJOModel
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 extractCrossValidationMetricsSummary(modelJson: JsonObject): DataFrame

Attributes
protected
Definition Classes
H2OMOJOModelUtils
def extractFeatureImportances(outputJson: JsonObject): DataFrame

Attributes
protected
Definition Classes
H2OMOJOModelUtils
def extractFeatureTypes(outputJson: JsonObject): Map[String, String]

Attributes
protected
Definition Classes
H2OMOJOModelUtils
def extractJsonFieldValue[T](outputJson: JsonObject, fieldName: String, getValue: (JsonElement) ⇒ T, defaultValue: T): T

Attributes
protected
Definition Classes
H2OMOJOModelUtils
def extractMetrics(json: JsonObject, metricType: String): Map[String, Double]

Attributes
protected
Definition Classes
H2OMOJOModelUtils
def extractMetricsObject(json: JsonObject, metricType: String, algoName: String, modelCategory: internals.H2OModelCategory.Value, dataFrameSerializerGetter: () ⇒ String): H2OMetrics

Attributes
protected
Definition Classes
H2OMOJOModelUtils
def extractModelCategory(outputJson: JsonObject): internals.H2OModelCategory.Value

Attributes
protected
Definition Classes
H2OMOJOModelUtils
final def extractParamMap(): ParamMap

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

Definition Classes
Params
def extractParams(modelJson: JsonObject): Map[String, String]

Attributes
protected
Definition Classes
H2OMOJOModelUtils
def extractScoringHistory(outputJson: JsonObject): DataFrame

Attributes
protected
Definition Classes
H2OMOJOModelUtils
val fastMode: BooleanParam

Attributes
protected
final val featureImportances: NullableDataFrameParam

Attributes
protected
Definition Classes
H2OMOJOModel
final val featureTypes: MapStringStringParam

Attributes
protected
Definition Classes
HasFeatureTypesOnMOJO
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 forceLoadBalance: BooleanParam

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

Definition Classes
Params
def getActivation(): String
def getAdaptiveRate(): Boolean
def getAverageActivation(): Double
def getCalculateFeatureImportances(): Boolean
def getCategoricalEncoding(): String
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def getConvertInvalidNumbersToNa(): Boolean

Definition Classes
H2OBaseMOJOParams
def getConvertUnknownCategoricalLevelsToNa(): Boolean

Definition Classes
H2OBaseMOJOParams
def getCrossValidationMetrics(): Map[String, Double]

Returns a map of all combined cross-validation holdout metrics of the Double type.
Returns a map of all combined cross-validation holdout metrics of the Double type.

Definition Classes
H2OMOJOModel
def getCrossValidationMetricsObject(): H2OAutoEncoderMetrics

Returns an object holding all metrics of the Double type and also more complex performance information combined from cross-validation holdouts.
Returns an object holding all metrics of the Double type and also more complex performance information combined from cross-validation holdouts.

Definition Classes
H2OAutoEncoderMOJOModel → H2OMOJOModel
def getCrossValidationMetricsSummary(): DataFrame

Returns a data frame with information about performance of individual folds according to various model metrics.
Returns a data frame with information about performance of individual folds according to various model metrics.

Definition Classes
H2OMOJOModel
def getCrossValidationModels(): Seq[H2OAutoEncoderMOJOModel.this.type]

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

Returns a map of all metrics of the Double type.
Returns a map of all metrics of the Double type. If the nfolds parameter was set, the metrics were combined from cross-validation holdouts. If cross validations wasn't enabled, the metrics were calculated from a validation dataset. If the validation dataset wasn't available, the metrics were calculated from the training dataset.

Definition Classes
H2OMOJOModel
def getCurrentMetricsObject(): H2OMetrics

Returns an object holding all metrics of the Double type and also more complex performance information.
Returns an object holding all metrics of the Double type and also more complex performance information. If the nfolds parameter was set, the object was combined from cross-validation holdouts. If cross validations wasn't enabled, the object was calculated from a validation dataset. If the validation dataset wasn't available, the object was calculated from the training dataset.

Definition Classes
H2OMOJOModel
def getDataFrameSerializer(): String

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

Definition Classes
Params
def getDefaultThreshold(): Double

Definition Classes
H2OMOJOModel
def getDiagnostics(): Boolean
def getDomainValues(): Map[String, Array[String]]

Definition Classes
H2OMOJOModel
def getElasticAveraging(): Boolean
def getElasticAveragingMovingRate(): Double
def getElasticAveragingRegularization(): Double
def getEndTime(): Long

Definition Classes
H2OMOJOModel
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
HasFeatureTypesOnMOJO
def getForceLoadBalance(): Boolean
def getHidden(): Array[Int]
def getHiddenDropoutRatios(): Array[Double]
def getIgnoreConstCols(): Boolean
def getIgnoredCols(): Array[String]

Definition Classes
HasIgnoredColsOnMOJO
def getInitialWeightDistribution(): String
def getInitialWeightScale(): Double
def getInputCols(): Array[String]

Definition Classes
HasInputColsOnMOJO
def getInputDropoutRatio(): Double
def getL1(): Double
def getL2(): Double
def getLoss(): String
def getMSECol(): String

Definition Classes
H2OAutoEncoderExtraParams
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 getModelDetails(modelJson: JsonObject): String

Attributes
protected
Definition Classes
H2OMOJOModelUtils
def getModelJson(mojo: File): JsonObject

Attributes
protected
Definition Classes
H2OMOJOModelUtils
def getMomentumRamp(): Double
def getMomentumStable(): Double
def getMomentumStart(): Double
def getNesterovAcceleratedGradient(): Boolean
final def getOrDefault[T](param: Param[T]): T

Definition Classes
Params
def getOriginalCol(): String

Definition Classes
H2OAutoEncoderExtraParams
def getOutputCol(): String

Definition Classes
HasOutputCol
def getOverwriteWithBestModel(): Boolean
def getParam(paramName: String): Param[Any]

Definition Classes
Params
def getQuietMode(): Boolean
def getRate(): Double
def getRateAnnealing(): Double
def getRateDecay(): 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 getRunTime(): Long

Definition Classes
H2OMOJOModel
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 getStandardize(): Boolean
def getStartTime(): Long

Definition Classes
H2OMOJOModel
def getStoppingMetric(): String
def getStoppingRounds(): Int
def getStoppingTolerance(): Double
def getTargetRatioCommToComp(): Double
def getTrainSamplesPerIteration(): Long
def getTrainingMetrics(): Map[String, Double]

Returns a map of all metrics of the Double type calculated on the training dataset.
Returns a map of all metrics of the Double type calculated on the training dataset.

Definition Classes
H2OMOJOModel
def getTrainingMetricsObject(): H2OAutoEncoderMetrics

Returns an object holding all metrics of the Double type and also more complex performance information calculated on the training dataset.
Returns an object holding all metrics of the Double type and also more complex performance information calculated on the training dataset.

Definition Classes
H2OAutoEncoderMOJOModel → H2OMOJOModel
def getTrainingParams(): Map[String, String]

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

Returns a map of all metrics of the Double type calculated on the validation dataset.
Returns a map of all metrics of the Double type calculated on the validation dataset.

Definition Classes
H2OMOJOModel
def getValidationMetricsObject(): H2OAutoEncoderMetrics

Returns an object holding all metrics of the Double type and also more complex performance information calculated on the validation dataset.
Returns an object holding all metrics of the Double type and also more complex performance information calculated on the validation dataset.

Definition Classes
H2OAutoEncoderMOJOModel → H2OMOJOModel
def getWeightCol(): String
def getWithMSECol(): Boolean

Definition Classes
H2OAutoEncoderExtraParams
def getWithOriginalCol(): Boolean

Definition Classes
H2OAutoEncoderExtraParams
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 ignoreConstCols: BooleanParam

Attributes
protected
val initialWeightDistribution: NullableStringParam

Attributes
protected
val initialWeightScale: DoubleParam

Attributes
protected
def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

Attributes
protected
Definition Classes
Logging
def initializeLogIfNecessary(isInterpreter: Boolean): Unit

Attributes
protected
Definition Classes
Logging
val inputCols: NullableStringArrayParam

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

Attributes
protected
Definition Classes
H2OAutoEncoderMOJOBase → 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
def jsonFieldToDataFrame(outputJson: JsonObject, fieldName: String): DataFrame

Attributes
protected
Definition Classes
H2OMOJOModelUtils
def jsonFieldToDoubleArray(outputJson: JsonObject, fieldName: String): Array[Double]

Attributes
protected
Definition Classes
H2OMOJOModelUtils
val l1: DoubleParam

Attributes
protected
val l2: DoubleParam

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 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
def mojoUDF: UserDefinedFunction

Attributes
protected
Definition Classes
H2OAutoEncoderMOJOBase → H2OFeatureMOJOModel
val momentumRamp: DoubleParam

Attributes
protected
val momentumStable: DoubleParam

Attributes
protected
val momentumStart: DoubleParam

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

Definition Classes
AnyRef
val nesterovAcceleratedGradient: BooleanParam

Attributes
protected
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

Attributes
protected
Definition Classes
H2OMOJOModel
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
H2OFeatureMOJOModel → H2OMOJOFlattenedInput
def outputSchema: Seq[StructField]

Attributes
protected
Definition Classes
H2OAutoEncoderExtraParams → H2OFeatureEstimatorBase
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
val quietMode: BooleanParam

Attributes
protected
val rate: DoubleParam

Attributes
protected
val rateAnnealing: DoubleParam

Attributes
protected
val rateDecay: DoubleParam

Attributes
protected
val replicateTrainingData: BooleanParam

Attributes
protected
val reproducible: BooleanParam

Attributes
protected
val rho: DoubleParam

Attributes
protected
final val runTime: LongParam

Attributes
protected
Definition Classes
H2OMOJOModel
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[_]): H2OAutoEncoderMOJOModel.this.type

Attributes
protected
Definition Classes
Params
final def set(param: String, value: Any): H2OAutoEncoderMOJOModel.this.type

Attributes
protected
Definition Classes
Params
final def set[T](param: Param[T], value: T): H2OAutoEncoderMOJOModel.this.type

Definition Classes
Params
def setDataFrameSerializer(fullClassName: String): H2OAutoEncoderMOJOModel.this.type

Definition Classes
H2OBaseMOJOParams
final def setDefault(paramPairs: ParamPair[_]*): H2OAutoEncoderMOJOModel.this.type

Attributes
protected
Definition Classes
Params
final def setDefault[T](param: Param[T], value: T): H2OAutoEncoderMOJOModel.this.type

Attributes
protected
Definition Classes
Params
def setMSECol(name: String): H2OAutoEncoderMOJOModel.this.type

Definition Classes
H2OAutoEncoderExtraParams
def setMojo(mojo: File): H2OAutoEncoderMOJOModel.this.type

Definition Classes
HasMojo
def setMojo(mojo: InputStream, mojoName: String): H2OAutoEncoderMOJOModel.this.type

Definition Classes
HasMojo
def setMojo(mojo: InputStream): H2OAutoEncoderMOJOModel.this.type

Definition Classes
HasMojo
def setOriginalCol(name: String): H2OAutoEncoderMOJOModel.this.type

Definition Classes
H2OAutoEncoderExtraParams
def setOutputCol(name: String): H2OAutoEncoderMOJOModel.this.type

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

Definition Classes
Model
def setWithMSECol(flag: Boolean): H2OAutoEncoderMOJOModel.this.type

Definition Classes
H2OAutoEncoderExtraParams
def setWithOriginalCol(flag: Boolean): H2OAutoEncoderMOJOModel.this.type

Definition Classes
H2OAutoEncoderExtraParams
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
final val startTime: LongParam

Attributes
protected
Definition Classes
H2OMOJOModel
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 trainingMetricsObject: NullableMetricsParam

Attributes
protected
Definition Classes
H2OMOJOModel
final val trainingParams: MapStringStringParam

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

Definition Classes
H2OFeatureMOJOModel → 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
H2OFeatureEstimatorBase → PipelineStage
def transformSchema(schema: StructType, logging: Boolean): StructType

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

Definition Classes
H2OAutoEncoderMOJOModel → 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
def validate(schema: StructType): Unit

Attributes
protected
Definition Classes
H2OAutoEncoderExtraParams → H2OFeatureEstimatorBase
final val validationMetrics: MapStringDoubleParam

Attributes
protected
Definition Classes
H2OMOJOModel
final val validationMetricsObject: NullableMetricsParam

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
def write: MLWriter

Definition Classes
H2OMOJOWritable → MLWritable

Related Docs: object H2OAutoEncoderMOJOModel | package models

class H2OAutoEncoderMOJOModel extends H2OFeatureMOJOModel with H2OAutoEncoderMOJOBase with ParameterConstructorMethods with Logging with HasIgnoredColsOnMOJO

Instance Constructors

new H2OAutoEncoderMOJOModel(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 averageActivation: DoubleParam

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

val calculateFeatureImportances: BooleanParam

val categoricalEncoding: NullableStringParam

final def clear(param: Param[_]): H2OAutoEncoderMOJOModel.this.type

def clone(): AnyRef

final val convertInvalidNumbersToNa: BooleanParam

final val convertUnknownCategoricalLevelsToNa: BooleanParam

def copy(extra: ParamMap): H2OFeatureMOJOModel

def copyExtraParams(to: H2OAutoEncoderExtraParams): Unit

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

final val crossValidationMetrics: MapStringDoubleParam

final val crossValidationMetricsObject: NullableMetricsParam

final val crossValidationMetricsSummary: NullableDataFrameParam

var crossValidationModels: Array[H2OMOJOModel]

final val dataFrameSerializer: Param[String]

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

final val defaultThreshold: DoubleParam

val diagnostics: BooleanParam

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

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

val elasticAveraging: BooleanParam

val elasticAveragingMovingRate: DoubleParam

val elasticAveragingRegularization: DoubleParam

final val endTime: LongParam

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 extractCrossValidationMetricsSummary(modelJson: JsonObject): DataFrame

def extractFeatureImportances(outputJson: JsonObject): DataFrame

def extractFeatureTypes(outputJson: JsonObject): Map[String, String]

def extractJsonFieldValue[T](outputJson: JsonObject, fieldName: String, getValue: (JsonElement) ⇒ T, defaultValue: T): T

def extractMetrics(json: JsonObject, metricType: String): Map[String, Double]

def extractMetricsObject(json: JsonObject, metricType: String, algoName: String, modelCategory: internals.H2OModelCategory.Value, dataFrameSerializerGetter: () ⇒ String): H2OMetrics

def extractModelCategory(outputJson: JsonObject): internals.H2OModelCategory.Value

final def extractParamMap(): ParamMap

final def extractParamMap(extra: ParamMap): ParamMap

def extractParams(modelJson: JsonObject): Map[String, String]

def extractScoringHistory(outputJson: JsonObject): DataFrame

val fastMode: BooleanParam

final val featureImportances: NullableDataFrameParam

final val featureTypes: MapStringStringParam

def finalize(): Unit

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

val forceLoadBalance: BooleanParam

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

def getActivation(): String

def getAdaptiveRate(): Boolean

def getAverageActivation(): Double

def getCalculateFeatureImportances(): Boolean

def getCategoricalEncoding(): String

final def getClass(): Class[_]

def getConvertInvalidNumbersToNa(): Boolean

def getConvertUnknownCategoricalLevelsToNa(): Boolean

def getCrossValidationMetrics(): Map[String, Double]

def getCrossValidationMetricsObject(): H2OAutoEncoderMetrics

def getCrossValidationMetricsSummary(): DataFrame

def getCrossValidationModels(): Seq[H2OAutoEncoderMOJOModel.this.type]

def getCurrentMetrics(): Map[String, Double]

def getCurrentMetricsObject(): H2OMetrics