H2OGLRMMOJOModel

Instance Constructors

new H2OGLRMMOJOModel(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
H2OMOJOModel → H2OMOJOFlattenedInput
val archetypes: NullableDataFrameParam

Attributes
protected
final def asInstanceOf[T0]: T0

Definition Classes
Any
val avgChangeObj: DoubleParam

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

Attributes
protected
Definition Classes
ParameterConstructorMethods
final def clear(param: Param[_]): H2OGLRMMOJOModel.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: H2ODimReductionExtraParams): Unit

Attributes
protected
Definition Classes
H2OGLRMExtraParams → H2ODimReductionExtraParams
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
var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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
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 eigenvectors: NullableDataFrameParam

Attributes
protected
final val endTime: LongParam

Attributes
protected
Definition Classes
H2OMOJOModel
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
val expandUserY: BooleanParam

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

Definition Classes
Params
def explainParams(): String

Definition Classes
Params
val exportCheckpointsDir: NullableStringParam

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 extractJsonTables(outputJson: JsonObject, fieldName: String): Array[DataFrame]

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
def extractModelSummary(outputJson: JsonObject): DataFrame

Attributes
protected[ai.h2o.sparkling.ml.models]
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
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 gammaX: DoubleParam

Attributes
protected
val gammaY: DoubleParam

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

Definition Classes
Params
def getArchetypes(): DataFrame
def getAvgChangeObj(): Double
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(): H2OGLRMMetrics

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
H2OGLRMMOJOModel → 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[H2OGLRMMOJOModel.this.type]

Definition Classes
H2OMOJOModel
def getCrossValidationModelsScoringHistory(): Array[DataFrame]

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

Definition Classes
H2OMOJOModel
def getEigenvectors(): DataFrame
def getEndTime(): Long

Definition Classes
H2OMOJOModel
def getExpandUserY(): Boolean
def getExportCheckpointsDir(): String
def getFeatureImportances(): DataFrame

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

Definition Classes
HasFeatureTypesOnMOJO
def getGammaX(): Double
def getGammaY(): Double
def getIgnoreConstCols(): Boolean
def getIgnoredCols(): Array[String]
def getImportance(): DataFrame
def getImputeOriginal(): Boolean
def getInit(): String
def getInitStepSize(): Double
def getInputCols(): Array[String]

Definition Classes
HasInputColsOnMOJO
def getIterations(): Int
def getK(): Int
def getLoadingName(): String
def getLoss(): String
def getLossByCol(): Array[String]
def getMaxIterations(): Int
def getMaxRuntimeSecs(): Double
def getMaxScoringIterations(): Int

Definition Classes
H2OGLRMExtraParams
def getMaxUpdates(): Int
def getMinStepSize(): Double
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 getModelSummary(): DataFrame

Definition Classes
H2OMOJOModel
def getMultiLoss(): String
def getObjective(): Double
final def getOrDefault[T](param: Param[T]): T

Definition Classes
Params
def getOutputCol(): String

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

Definition Classes
Params
def getPeriod(): Int
def getReconstructedCol(): String

Definition Classes
H2OGLRMExtraParams
def getRecoverSvd(): Boolean
def getRegularizationX(): String
def getRegularizationY(): String
def getRelevantColumnNames(flatDataFrame: DataFrame, inputs: Array[String]): Array[String]

Attributes
protected
Definition Classes
H2OMOJOFlattenedInput
def getRepresentationName(): String
def getRunTime(): Long

Definition Classes
H2OMOJOModel
def getScoreEachIteration(): Boolean
def getScoringHistory(): DataFrame

Definition Classes
H2OMOJOModel
def getSeed(): Long
def getSingularVals(): Array[Double]
def getStartTime(): Long

Definition Classes
H2OMOJOModel
def getStepSize(): Double
def getSvdMethod(): String
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(): H2OGLRMMetrics

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
H2OGLRMMOJOModel → H2OMOJOModel
def getTrainingParams(): Map[String, String]

Definition Classes
H2OMOJOModel
def getTransform(): String
def getUpdates(): Int
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(): H2OGLRMMetrics

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
H2OGLRMMOJOModel → H2OMOJOModel
def getWithReconstructedCol(): Boolean

Definition Classes
H2OGLRMExtraParams
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 ignoreConstCols: BooleanParam

Attributes
protected
val ignoredCols: NullableStringArrayParam

Attributes
protected
val importance: NullableDataFrameParam

Attributes
protected
val imputeOriginal: BooleanParam

Attributes
protected
val init: NullableStringParam

Attributes
protected
val initStepSize: DoubleParam

Attributes
protected
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
H2ODimReductionMOJOModel → H2OMOJOFlattenedInput
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 iterations: IntParam

Attributes
protected
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 k: IntParam

Attributes
protected
val loadingName: NullableStringParam

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 lossByCol: NullableStringArrayParam

Attributes
protected
val maxIterations: IntParam

Attributes
protected
val maxRuntimeSecs: DoubleParam

Attributes
protected
val maxUpdates: IntParam

Attributes
protected
val minStepSize: DoubleParam

Attributes
protected
final val modelCategory: NullableStringParam

Attributes
protected
Definition Classes
H2OMOJOModel
final val modelDetails: NullableStringParam

Attributes
protected
Definition Classes
H2OMOJOModel
final val modelSummary: NullableDataFrameParam

Attributes
protected
Definition Classes
H2OMOJOModel
def mojoUDF: UserDefinedFunction

Attributes
protected
Definition Classes
H2ODimReductionMOJOModel → H2OFeatureMOJOModel
val multiLoss: NullableStringParam

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

Definition Classes
AnyRef
val nonSerializableField: AnyRef

Definition Classes
H2OMOJOModel
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
val objective: DoubleParam

Attributes
protected
def outputColumnName: String

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

Attributes
protected
Definition Classes
H2OGLRMExtraParams → H2ODimReductionExtraParams → H2OFeatureEstimatorBase
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 period: IntParam

Attributes
protected
def reconstructedEnabled: Boolean

Attributes
protected
Definition Classes
H2OGLRMMOJOBase → H2ODimReductionMOJOModel
val recoverSvd: BooleanParam

Attributes
protected
val regularizationX: NullableStringParam

Attributes
protected
val regularizationY: NullableStringParam

Attributes
protected
val representationName: NullableStringParam

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 scoreEachIteration: BooleanParam

Attributes
protected
final val scoringHistory: NullableDataFrameParam

Attributes
protected
Definition Classes
H2OMOJOModel
val seed: LongParam

Attributes
protected
final def set(paramPair: ParamPair[_]): H2OGLRMMOJOModel.this.type

Attributes
protected
Definition Classes
Params
final def set(param: String, value: Any): H2OGLRMMOJOModel.this.type

Attributes
protected
Definition Classes
Params
final def set[T](param: Param[T], value: T): H2OGLRMMOJOModel.this.type

Definition Classes
Params
def setDataFrameSerializer(fullClassName: String): H2OGLRMMOJOModel.this.type

Definition Classes
H2OBaseMOJOParams
final def setDefault(paramPairs: ParamPair[_]*): H2OGLRMMOJOModel.this.type

Attributes
protected
Definition Classes
Params
final def setDefault[T](param: Param[T], value: T): H2OGLRMMOJOModel.this.type

Attributes
protected
Definition Classes
Params
def setMaxScoringIterations(value: Int): H2OGLRMMOJOModel.this.type

Definition Classes
H2OGLRMExtraParams
def setMojo(mojo: File): H2OGLRMMOJOModel.this.type

Definition Classes
HasMojo
def setMojo(mojo: InputStream, mojoName: String): H2OGLRMMOJOModel.this.type

Definition Classes
HasMojo
def setMojo(mojo: InputStream): H2OGLRMMOJOModel.this.type

Definition Classes
HasMojo
def setOutputCol(name: String): H2OGLRMMOJOModel.this.type

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

Definition Classes
Model
def setReconstructedCol(name: String): H2OGLRMMOJOModel.this.type

Definition Classes
H2OGLRMExtraParams
def setWithReconstructedCol(flag: Boolean): H2OGLRMMOJOModel.this.type

Definition Classes
H2OGLRMExtraParams
val singularVals: NullableDoubleArrayParam

Attributes
protected
final val startTime: LongParam

Attributes
protected
Definition Classes
H2OMOJOModel
val stepSize: 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
val svdMethod: NullableStringParam

Attributes
protected
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
H2OMOJOModel → Identifiable → AnyRef → Any
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()
val transform: NullableStringParam

Attributes
protected
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
H2OGLRMMOJOModel → 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 updates: IntParam

Attributes
protected
def validate(schema: StructType): Unit

Attributes
protected
Definition Classes
H2OGLRMExtraParams → H2ODimReductionExtraParams → 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( ... )
def write: MLWriter

Definition Classes
H2OMOJOWritable → MLWritable

Related Docs: object H2OGLRMMOJOModel | package models

class H2OGLRMMOJOModel extends H2OFeatureMOJOModel with H2OGLRMMOJOBase with ParameterConstructorMethods with Logging

Instance Constructors

new H2OGLRMMOJOModel(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

val archetypes: NullableDataFrameParam

final def asInstanceOf[T0]: T0

val avgChangeObj: DoubleParam

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

final def clear(param: Param[_]): H2OGLRMMOJOModel.this.type

def clone(): AnyRef

final val convertInvalidNumbersToNa: BooleanParam

final val convertUnknownCategoricalLevelsToNa: BooleanParam

def copy(extra: ParamMap): H2OFeatureMOJOModel

def copyExtraParams(to: H2ODimReductionExtraParams): 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]

var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

final val dataFrameSerializer: Param[String]

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

final val defaultThreshold: DoubleParam

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

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

val eigenvectors: NullableDataFrameParam

final val endTime: LongParam

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

val expandUserY: BooleanParam

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

def explainParams(): String

val exportCheckpointsDir: NullableStringParam

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 extractJsonTables(outputJson: JsonObject, fieldName: String): Array[DataFrame]

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

def extractModelSummary(outputJson: JsonObject): DataFrame

final def extractParamMap(): ParamMap

final def extractParamMap(extra: ParamMap): ParamMap

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

def extractScoringHistory(outputJson: JsonObject): DataFrame

final val featureImportances: NullableDataFrameParam

final val featureTypes: MapStringStringParam

def finalize(): Unit

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

val gammaX: DoubleParam

val gammaY: DoubleParam

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

def getArchetypes(): DataFrame

def getAvgChangeObj(): Double

final def getClass(): Class[_]

def getConvertInvalidNumbersToNa(): Boolean

def getConvertUnknownCategoricalLevelsToNa(): Boolean

def getCrossValidationMetrics(): Map[String, Double]

def getCrossValidationMetricsObject(): H2OGLRMMetrics

def getCrossValidationMetricsSummary(): DataFrame

def getCrossValidationModels(): Seq[H2OGLRMMOJOModel.this.type]

def getCrossValidationModelsScoringHistory(): Array[DataFrame]

def getCurrentMetrics(): Map[String, Double]

def getCurrentMetricsObject(): H2OMetrics

def getDataFrameSerializer(): String

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

def getDefaultThreshold(): Double

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

def getEigenvectors(): DataFrame

def getEndTime(): Long

def getExpandUserY(): Boolean