Class/Object

ai.h2o.sparkling.ml.models

H2OKMeansMOJOModel

Related Docs: object H2OKMeansMOJOModel | package models

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class H2OKMeansMOJOModel extends H2OUnsupervisedMOJOModel with ParameterConstructorMethods with Logging with HasIgnoredColsOnMOJO

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Inherited
  1. H2OKMeansMOJOModel
  2. HasIgnoredColsOnMOJO
  3. ParameterConstructorMethods
  4. H2OUnsupervisedMOJOModel
  5. H2OAlgorithmMOJOModel
  6. H2OAlgorithmMOJOParams
  7. H2OMOJOPrediction
  8. H2OMOJOPredictionOrdinal
  9. H2OMOJOPredictionCoxPH
  10. H2OMOJOPredictionBinomial
  11. H2OMOJOPredictionClustering
  12. H2OMOJOPredictionDimReduction
  13. H2OMOJOPredictionMultinomial
  14. PredictionWithStageProbabilities
  15. H2OMOJOPredictionAnomaly
  16. H2OMOJOPredictionWordEmbedding
  17. H2OMOJOPredictionRegression
  18. PredictionWithContributions
  19. H2OMOJOModel
  20. HasFeatureTypesOnMOJO
  21. H2OBaseMOJOParams
  22. HasDataFrameSerializer
  23. SpecificMOJOParameters
  24. H2OMOJOModelUtils
  25. Logging
  26. H2OMOJOWritable
  27. MLWritable
  28. HasMojo
  29. H2OMOJOFlattenedInput
  30. Model
  31. Transformer
  32. PipelineStage
  33. Logging
  34. Params
  35. Serializable
  36. Serializable
  37. Identifiable
  38. AnyRef
  39. Any
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Visibility
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Instance Constructors

  1. new H2OKMeansMOJOModel(uid: String)

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Value Members

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

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  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. val categoricalEncoding: NullableStringParam

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    Attributes
    protected
  10. final def clear(param: Param[_]): H2OKMeansMOJOModel.this.type

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    Definition Classes
    Params
  11. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  12. val clusterSizeConstraints: NullableIntArrayParam

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    Attributes
    protected
  13. final val convertInvalidNumbersToNa: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OBaseMOJOParams
  14. final val convertUnknownCategoricalLevelsToNa: BooleanParam

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

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

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    Attributes
    protected
    Definition Classes
    Params
  17. final val crossValidationMetrics: MapStringDoubleParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  18. final val crossValidationMetricsObject: NullableMetricsParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  19. final val crossValidationMetricsSummary: NullableDataFrameParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  24. def doubleArrayParam(name: String, doc: String): DoubleArrayParam

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  26. final def eq(arg0: AnyRef): Boolean

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

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    Definition Classes
    AnyRef → Any
  28. val estimateK: BooleanParam

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

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    Definition Classes
    Params
  30. def explainParams(): String

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    Definition Classes
    Params
  31. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  32. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  33. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  34. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  35. def extractCoxPHPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionCoxPH
  36. def extractCrossValidationMetricsSummary(modelJson: JsonObject): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  37. def extractDimReductionSimplePredictionColContent(): Column

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  38. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  43. def extractMultinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionMultinomial
  44. def extractOrdinalPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionOrdinal
  45. final def extractParamMap(): ParamMap

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  48. def extractPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPrediction
  49. def extractRegressionPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionRegression
  50. def extractScoringHistory(outputJson: JsonObject): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  51. def extractWordEmbeddingPredictionColContent(): Column

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  52. final val featureImportances: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  53. final val featureTypes: MapStringStringParam

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    Attributes
    protected
    Definition Classes
    HasFeatureTypesOnMOJO
  54. final val featuresCols: StringArrayParam

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  55. def finalize(): Unit

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  57. val foldAssignment: NullableStringParam

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    Attributes
    protected
  58. val foldCol: NullableStringParam

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  61. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  62. def getAnomalyPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionAnomaly
  63. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  64. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  65. def getBinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionBinomial
  66. def getCategoricalEncoding(): String

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  67. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  68. def getClusterSizeConstraints(): Array[Int]

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  69. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  70. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  71. def getClusteringPredictionUDF(): UserDefinedFunction

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

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    Attributes
    protected
    Definition Classes
    PredictionWithContributions
  73. def getConvertInvalidNumbersToNa(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
  74. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  76. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  77. def getCoxPHPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  78. 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
  79. def getCrossValidationMetricsObject(): H2OClusteringMetrics

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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
    H2OKMeansMOJOModelH2OMOJOModel
  80. 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
  81. def getCrossValidationModels(): Seq[H2OKMeansMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  82. 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
  83. 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
  84. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  86. def getDetailedPredictionCol(): String

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    Definition Classes
    H2OAlgorithmMOJOParams
  87. def getDetailedPredictionColSchema(): Seq[StructField]

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

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  89. def getDimReductionPredictionSchema(): StructType

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  90. def getDimReductionPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOModel
  92. def getEstimateK(): Boolean

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  93. def getExportCheckpointsDir(): String

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  94. def getFeatureImportances(): DataFrame

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

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    Definition Classes
    HasFeatureTypesOnMOJO
  96. def getFeaturesCols(): Array[String]

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    Definition Classes
    H2OAlgorithmMOJOParams
  97. def getFoldAssignment(): String

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  98. def getFoldCol(): String

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  99. def getIgnoreConstCols(): Boolean

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  100. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  101. def getInit(): String

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  102. def getK(): Int

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  103. def getKeepCrossValidationFoldAssignment(): Boolean

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  104. def getKeepCrossValidationModels(): Boolean

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  105. def getKeepCrossValidationPredictions(): Boolean

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  106. def getMaxIterations(): Int

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  107. def getMaxRuntimeSecs(): Double

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  108. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  109. def getModelDetails(): String

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  112. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  113. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  114. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  115. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  116. def getNfolds(): Int

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  119. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  120. def getOrdinalPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  122. def getPredictionCol(): String

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    Definition Classes
    H2OAlgorithmMOJOParams
  123. def getPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPrediction
  124. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  125. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  127. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  128. def getRegressionPredictionUDF(): UserDefinedFunction

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOFlattenedInput
  130. def getScoreEachIteration(): Boolean

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  131. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  132. def getSeed(): Long

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  133. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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    Attributes
    protected
    Definition Classes
    PredictionWithStageProbabilities
  134. def getStandardize(): Boolean

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  135. 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
  136. def getTrainingMetricsObject(): H2OClusteringMetrics

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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
    H2OKMeansMOJOModelH2OMOJOModel
  137. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  138. 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
  139. def getValidationMetricsObject(): H2OClusteringMetrics

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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
    H2OKMeansMOJOModelH2OMOJOModel
  140. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  141. def getWithDetailedPredictionCol(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
    Annotations
    @DeprecatedMethod( x$2 , x$1 )
  142. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  143. def getWithStageResults(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  144. def getWordEmbeddingPredictionColSchema(): Seq[StructField]

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  145. def getWordEmbeddingPredictionSchema(): StructType

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  146. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    Params
  149. def hasParent: Boolean

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    Definition Classes
    Model
  150. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  151. val ignoreConstCols: BooleanParam

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    Attributes
    protected
  152. val init: NullableStringParam

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOModelH2OMOJOFlattenedInput
  156. def intArrayParam(name: String, doc: String): IntArrayParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  157. def intParam(name: String, doc: String): IntParam

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    Definition Classes
    ParameterConstructorMethods
  158. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params
  159. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  160. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params
  161. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  162. def jsonFieldToDataFrame(outputJson: JsonObject, fieldName: String): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  163. val k: IntParam

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    Attributes
    protected
  164. val keepCrossValidationFoldAssignment: BooleanParam

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    Attributes
    protected
  165. val keepCrossValidationModels: BooleanParam

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    Attributes
    protected
  166. val keepCrossValidationPredictions: BooleanParam

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    Attributes
    protected
  167. def log: Logger

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

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

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

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

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

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

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    Definition Classes
    Logging
  174. def logName: String

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    Definition Classes
    Logging
  175. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  179. def longParam(name: String, doc: String): LongParam

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    protected
    Definition Classes
    ParameterConstructorMethods
  180. val maxIterations: IntParam

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    Attributes
    protected
  181. val maxRuntimeSecs: DoubleParam

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    Attributes
    protected
  182. final val modelCategory: NullableStringParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  183. final val modelDetails: NullableStringParam

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  185. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  186. val nfolds: IntParam

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    Attributes
    protected
  187. final def notify(): Unit

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    Definition Classes
    AnyRef
  188. final def notifyAll(): Unit

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  189. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam

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

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

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

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

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

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

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

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  197. def outputColumnName: String

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    Attributes
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    H2OAlgorithmMOJOModelH2OMOJOFlattenedInput
  198. def param[T](name: String, doc: String): Param[T]

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

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    Definition Classes
    Params
  200. var parent: Estimator[H2OMOJOModel]

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    Definition Classes
    Model
  201. final val predictionCol: Param[String]

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    Attributes
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    H2OAlgorithmMOJOParams
  202. def save(path: String): Unit

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

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  204. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  205. val seed: LongParam

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  206. final def set(paramPair: ParamPair[_]): H2OKMeansMOJOModel.this.type

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  207. final def set(param: String, value: Any): H2OKMeansMOJOModel.this.type

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  208. final def set[T](param: Param[T], value: T): H2OKMeansMOJOModel.this.type

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  209. def setDataFrameSerializer(fullClassName: String): H2OKMeansMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  210. final def setDefault(paramPairs: ParamPair[_]*): H2OKMeansMOJOModel.this.type

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  211. final def setDefault[T](param: Param[T], value: T): H2OKMeansMOJOModel.this.type

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  212. def setMojo(mojo: File): H2OKMeansMOJOModel.this.type

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    Definition Classes
    HasMojo
  213. def setMojo(mojo: InputStream, mojoName: String): H2OKMeansMOJOModel.this.type

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    Definition Classes
    HasMojo
  214. def setMojo(mojo: InputStream): H2OKMeansMOJOModel.this.type

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

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    Definition Classes
    Model
  216. val standardize: BooleanParam

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  217. def stringArrayParam(name: String, doc: String): StringArrayParam

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

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

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  220. def toString(): String

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    Identifiable → AnyRef → Any
  221. final val trainingMetrics: MapStringDoubleParam

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    H2OMOJOModel
  222. final val trainingMetricsObject: NullableMetricsParam

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  223. final val trainingParams: MapStringStringParam

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

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    Definition Classes
    H2OAlgorithmMOJOModel → Transformer
  225. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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

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    @Since( "2.0.0" ) @varargs()
  227. def transformSchema(schema: StructType): StructType

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    @DeveloperApi()
  228. def transformSchema(schema: StructType, logging: Boolean): StructType

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    @DeveloperApi()
  229. val uid: String

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    H2OKMeansMOJOModelH2OUnsupervisedMOJOModelH2OAlgorithmMOJOModel → Identifiable
  230. 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
  231. final val validationMetrics: MapStringDoubleParam

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  232. final val validationMetricsObject: NullableMetricsParam

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  233. final def wait(): Unit

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    @throws( ... )
  234. final def wait(arg0: Long, arg1: Int): Unit

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  235. final def wait(arg0: Long): Unit

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  236. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  237. final val withDetailedPredictionCol: BooleanParam

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    H2OAlgorithmMOJOParams
  238. final val withLeafNodeAssignments: BooleanParam

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  239. final val withStageResults: BooleanParam

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  240. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from HasIgnoredColsOnMOJO

Inherited from H2OUnsupervisedMOJOModel

Inherited from H2OAlgorithmMOJOModel

Inherited from H2OAlgorithmMOJOParams

Inherited from H2OMOJOPrediction

Inherited from H2OMOJOPredictionOrdinal

Inherited from H2OMOJOPredictionCoxPH

Inherited from H2OMOJOPredictionBinomial

Inherited from H2OMOJOPredictionAnomaly

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