Class/Object

ai.h2o.sparkling.ml.models

H2OPCAMOJOModel

Related Docs: object H2OPCAMOJOModel | package models

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class H2OPCAMOJOModel extends H2OFeatureMOJOModel with H2ODimReductionMOJOModel with ParameterConstructorMethods with Logging with HasIgnoredColsOnMOJO

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Inherited
  1. H2OPCAMOJOModel
  2. HasIgnoredColsOnMOJO
  3. H2ODimReductionMOJOModel
  4. H2ODimReductionExtraParams
  5. HasInputColsOnMOJO
  6. ParameterConstructorMethods
  7. HasOutputCol
  8. H2OFeatureMOJOModel
  9. H2OFeatureEstimatorBase
  10. H2OMOJOModel
  11. HasFeatureTypesOnMOJO
  12. H2OBaseMOJOParams
  13. HasDataFrameSerializer
  14. SpecificMOJOParameters
  15. H2OMOJOModelUtils
  16. Logging
  17. H2OMOJOWritable
  18. MLWritable
  19. HasMojo
  20. H2OMOJOFlattenedInput
  21. Model
  22. Transformer
  23. PipelineStage
  24. Logging
  25. Params
  26. Serializable
  27. Serializable
  28. Identifiable
  29. AnyRef
  30. Any
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Instance Constructors

  1. new H2OPCAMOJOModel(uid: String)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
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  2. final def ##(): Int

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    Definition Classes
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  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  5. def applyPredictionUdf(dataset: Dataset[_], udfConstructor: (Array[String]) ⇒ UserDefinedFunction): DataFrame

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelH2OMOJOFlattenedInput
  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  8. def booleanParam(name: String, doc: String): BooleanParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  9. final def clear(param: Param[_]): H2OPCAMOJOModel.this.type

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    Definition Classes
    Params
  10. def clone(): AnyRef

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

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    Attributes
    protected
  12. final val convertInvalidNumbersToNa: BooleanParam

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    Attributes
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    Definition Classes
    H2OBaseMOJOParams
  13. final val convertUnknownCategoricalLevelsToNa: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OBaseMOJOParams
  14. def copy(extra: ParamMap): H2OFeatureMOJOModel

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    Definition Classes
    H2OFeatureMOJOModelH2OMOJOModel → Model → Transformer → PipelineStage → Params
  15. def copyExtraParams(to: H2ODimReductionExtraParams): Unit

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    Attributes
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    Definition Classes
    H2ODimReductionExtraParams
  16. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
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    Params
  17. final val crossValidationMetrics: MapStringDoubleParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  18. final val crossValidationMetricsObject: NullableMetricsParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  19. final val crossValidationMetricsSummary: NullableDataFrameParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  20. var crossValidationModels: Array[H2OMOJOModel]

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

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

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    Params
  23. final val defaultThreshold: DoubleParam

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    Attributes
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    H2OMOJOModel
  24. def doubleArrayParam(name: String, doc: String): DoubleArrayParam

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    ParameterConstructorMethods
  25. def doubleParam(name: String, doc: String): DoubleParam

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    ParameterConstructorMethods
  26. val eigenvectors: NullableDataFrameParam

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  27. final val endTime: LongParam

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

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    AnyRef
  29. def equals(arg0: Any): Boolean

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

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    Definition Classes
    Params
  31. def explainParams(): String

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    Definition Classes
    Params
  32. val exportCheckpointsDir: NullableStringParam

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    Attributes
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  33. def extractCrossValidationMetricsSummary(modelJson: JsonObject): DataFrame

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

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    Definition Classes
    H2OMOJOModelUtils
  35. def extractFeatureTypes(outputJson: JsonObject): Map[String, String]

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

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

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

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

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    Definition Classes
    H2OMOJOModelUtils
  40. final def extractParamMap(): ParamMap

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

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

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    Definition Classes
    H2OMOJOModelUtils
  43. def extractScoringHistory(outputJson: JsonObject): DataFrame

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    H2OMOJOModelUtils
  44. final val featureImportances: NullableDataFrameParam

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    H2OMOJOModel
  45. final val featureTypes: MapStringStringParam

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    Definition Classes
    HasFeatureTypesOnMOJO
  46. def finalize(): Unit

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    protected[java.lang]
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    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  47. def floatParam(name: String, doc: String): FloatParam

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

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    Params
  49. final def getClass(): Class[_]

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    Definition Classes
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  50. def getComputeMetrics(): Boolean

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  51. def getConvertInvalidNumbersToNa(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
  52. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    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
  54. def getCrossValidationMetricsObject(): H2OPCAMetrics

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    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
    H2OPCAMOJOModelH2OMOJOModel
  55. def getCrossValidationMetricsSummary(): DataFrame

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    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
  56. def getCrossValidationModels(): Seq[H2OPCAMOJOModel.this.type]

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

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    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
  58. def getCurrentMetricsObject(): H2OMetrics

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    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
  59. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  61. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  62. def getDomainValues(): Map[String, Array[String]]

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    Definition Classes
    H2OMOJOModel
  63. def getEigenvectors(): DataFrame

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  64. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  65. def getExportCheckpointsDir(): String

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  66. def getFeatureImportances(): DataFrame

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

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    Definition Classes
    HasFeatureTypesOnMOJO
  68. def getIgnoreConstCols(): Boolean

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  69. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  70. def getImportance(): DataFrame

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  71. def getImputeMissing(): Boolean

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  72. def getInputCols(): Array[String]

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    Definition Classes
    HasInputColsOnMOJO
  73. def getK(): Int

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  74. def getMaxIterations(): Int

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  75. def getMaxRuntimeSecs(): Double

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  76. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  77. def getModelDetails(): String

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    Definition Classes
    H2OMOJOModel
  78. def getModelDetails(modelJson: JsonObject): String

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

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    Attributes
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    Definition Classes
    H2OMOJOModelUtils
  80. def getObjective(): Double

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  81. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  82. def getOutputCol(): String

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

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    Definition Classes
    Params
  84. def getPcaImpl(): String

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  85. def getPcaMethod(): String

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  86. def getRelevantColumnNames(flatDataFrame: DataFrame, inputs: Array[String]): Array[String]

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    Attributes
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    Definition Classes
    H2OMOJOFlattenedInput
  87. def getRunTime(): Long

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    Definition Classes
    H2OMOJOModel
  88. def getScoreEachIteration(): Boolean

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  89. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  90. def getSeed(): Long

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  91. def getStartTime(): Long

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    Definition Classes
    H2OMOJOModel
  92. def getTrainingMetrics(): Map[String, Double]

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    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
  93. def getTrainingMetricsObject(): H2OPCAMetrics

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    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
    H2OPCAMOJOModelH2OMOJOModel
  94. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  95. def getTransform(): String

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  96. def getUseAllFactorLevels(): Boolean

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  97. def getValidationMetrics(): Map[String, Double]

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    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
  98. def getValidationMetricsObject(): H2OPCAMetrics

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    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
    H2OPCAMOJOModelH2OMOJOModel
  99. final def hasDefault[T](param: Param[T]): Boolean

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    Params
  100. def hasParam(paramName: String): Boolean

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    Params
  101. def hasParent: Boolean

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    Definition Classes
    Model
  102. def hashCode(): Int

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    AnyRef → Any
  103. val ignoreConstCols: BooleanParam

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  104. val importance: NullableDataFrameParam

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  105. val imputeMissing: BooleanParam

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  106. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Logging
  107. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Logging
  108. val inputCols: NullableStringArrayParam

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    HasInputColsOnMOJO
  109. def inputColumnNames: Array[String]

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    H2ODimReductionMOJOModelH2OMOJOFlattenedInput
  110. def intArrayParam(name: String, doc: String): IntArrayParam

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  111. def intParam(name: String, doc: String): IntParam

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  112. final def isDefined(param: Param[_]): Boolean

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  113. final def isInstanceOf[T0]: Boolean

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  114. final def isSet(param: Param[_]): Boolean

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  115. def isTraceEnabled(): Boolean

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    Logging
  116. def jsonFieldToDataFrame(outputJson: JsonObject, fieldName: String): DataFrame

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    H2OMOJOModelUtils
  117. def jsonFieldToDoubleArray(outputJson: JsonObject, fieldName: String): Array[Double]

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    H2OMOJOModelUtils
  118. val k: IntParam

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  119. def log: Logger

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    Logging
  120. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Logging
  121. def logDebug(msg: ⇒ String): Unit

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    Logging
  122. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Logging
  123. def logError(msg: ⇒ String): Unit

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    Logging
  124. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Logging
  125. def logInfo(msg: ⇒ String): Unit

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    Logging
  126. def logName: String

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    Logging
  127. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Logging
  128. def logTrace(msg: ⇒ String): Unit

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    Logging
  129. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Logging
  130. def logWarning(msg: ⇒ String): Unit

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    Logging
  131. def longParam(name: String, doc: String): LongParam

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  132. val maxIterations: IntParam

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  133. val maxRuntimeSecs: DoubleParam

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  134. final val modelCategory: NullableStringParam

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    H2OMOJOModel
  135. final val modelDetails: NullableStringParam

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    H2OMOJOModel
  136. def mojoUDF: UserDefinedFunction

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    H2ODimReductionMOJOModelH2OFeatureMOJOModel
  137. final def ne(arg0: AnyRef): Boolean

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  138. final def notify(): Unit

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  139. final def notifyAll(): Unit

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  140. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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    H2OMOJOModel
  141. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam

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  142. def nullableDoubleArrayParam(name: String, doc: String): NullableDoubleArrayParam

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  143. def nullableFloatArrayParam(name: String, doc: String): NullableFloatArrayParam

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  144. def nullableIntArrayParam(name: String, doc: String): NullableIntArrayParam

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  145. def nullableStringArrayArrayParam(name: String, doc: String): NullableStringArrayArrayParam

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  146. def nullableStringArrayParam(name: String, doc: String): NullableStringArrayParam

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  147. def nullableStringPairArrayParam(name: String, doc: String): NullableStringPairArrayParam

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  148. def nullableStringParam(name: String, doc: String): NullableStringParam

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  149. val objective: DoubleParam

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  150. def outputColumnName: String

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    H2OFeatureMOJOModelH2OMOJOFlattenedInput
  151. def outputSchema: Seq[StructField]

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    H2ODimReductionExtraParamsH2OFeatureEstimatorBase
  152. def param[T](name: String, doc: String): Param[T]

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  153. lazy val params: Array[Param[_]]

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  154. var parent: Estimator[H2OMOJOModel]

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    Model
  155. val pcaImpl: NullableStringParam

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  156. val pcaMethod: NullableStringParam

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  157. def reconstructedEnabled: Boolean

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    H2ODimReductionMOJOModel
  158. final val runTime: LongParam

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    H2OMOJOModel
  159. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  160. val scoreEachIteration: BooleanParam

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  161. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  162. val seed: LongParam

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  163. final def set(paramPair: ParamPair[_]): H2OPCAMOJOModel.this.type

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  164. final def set(param: String, value: Any): H2OPCAMOJOModel.this.type

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  165. final def set[T](param: Param[T], value: T): H2OPCAMOJOModel.this.type

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    Definition Classes
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  166. def setDataFrameSerializer(fullClassName: String): H2OPCAMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  167. final def setDefault(paramPairs: ParamPair[_]*): H2OPCAMOJOModel.this.type

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  168. final def setDefault[T](param: Param[T], value: T): H2OPCAMOJOModel.this.type

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  169. def setMojo(mojo: File): H2OPCAMOJOModel.this.type

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    Definition Classes
    HasMojo
  170. def setMojo(mojo: InputStream, mojoName: String): H2OPCAMOJOModel.this.type

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    Definition Classes
    HasMojo
  171. def setMojo(mojo: InputStream): H2OPCAMOJOModel.this.type

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    Definition Classes
    HasMojo
  172. def setOutputCol(name: String): H2OPCAMOJOModel.this.type

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

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    Definition Classes
    Model
  174. final val startTime: LongParam

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    H2OMOJOModel
  175. def stringArrayParam(name: String, doc: String): StringArrayParam

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  176. def stringParam(name: String, doc: String): Param[String]

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  177. final def synchronized[T0](arg0: ⇒ T0): T0

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    AnyRef
  178. def toString(): String

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

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    H2OMOJOModel
  180. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  181. final val trainingParams: MapStringStringParam

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    H2OMOJOModel
  182. def transform(dataset: Dataset[_]): DataFrame

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    Definition Classes
    H2OFeatureMOJOModel → Transformer
  183. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  185. val transform: NullableStringParam

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    Attributes
    protected
  186. def transformSchema(schema: StructType): StructType

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

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

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    Definition Classes
    H2OPCAMOJOModel → Identifiable
  189. def unwrapMojoModel(): MojoModel

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    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
  190. val useAllFactorLevels: BooleanParam

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    Attributes
    protected
  191. def validate(schema: StructType): Unit

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    Attributes
    protected
    Definition Classes
    H2ODimReductionExtraParamsH2OFeatureEstimatorBase
  192. final val validationMetrics: MapStringDoubleParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  193. final val validationMetricsObject: NullableMetricsParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  194. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  195. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  196. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  197. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from HasIgnoredColsOnMOJO

Inherited from H2ODimReductionMOJOModel

Inherited from HasInputColsOnMOJO

Inherited from HasOutputCol

Inherited from H2OFeatureMOJOModel

Inherited from H2OFeatureEstimatorBase

Inherited from H2OMOJOModel

Inherited from HasFeatureTypesOnMOJO

Inherited from H2OBaseMOJOParams

Inherited from HasDataFrameSerializer

Inherited from SpecificMOJOParameters

Inherited from H2OMOJOModelUtils

Inherited from Logging

Inherited from H2OMOJOWritable

Inherited from MLWritable

Inherited from HasMojo

Inherited from H2OMOJOFlattenedInput

Inherited from Model[H2OMOJOModel]

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped