Class/Object

ai.h2o.sparkling.ml.models

H2ODRFMOJOModel

Related Docs: object H2ODRFMOJOModel | package models

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class H2ODRFMOJOModel extends H2OTreeBasedSupervisedMOJOModel with ParameterConstructorMethods with Logging with HasIgnoredColsOnMOJO

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Inherited
  1. H2ODRFMOJOModel
  2. HasIgnoredColsOnMOJO
  3. ParameterConstructorMethods
  4. H2OTreeBasedSupervisedMOJOModel
  5. H2OTreeBasedMOJOParams
  6. H2OSupervisedMOJOModel
  7. H2OSupervisedMOJOParams
  8. H2OAlgorithmMOJOModel
  9. H2OAlgorithmMOJOParams
  10. H2OMOJOPrediction
  11. H2OMOJOPredictionOrdinal
  12. H2OMOJOPredictionCoxPH
  13. H2OMOJOPredictionBinomial
  14. H2OMOJOPredictionClustering
  15. H2OMOJOPredictionDimReduction
  16. H2OMOJOPredictionMultinomial
  17. PredictionWithStageProbabilities
  18. H2OMOJOPredictionAnomaly
  19. H2OMOJOPredictionWordEmbedding
  20. H2OMOJOPredictionRegression
  21. PredictionWithContributions
  22. H2OMOJOModel
  23. HasFeatureTypesOnMOJO
  24. H2OBaseMOJOParams
  25. HasDataFrameSerializer
  26. SpecificMOJOParameters
  27. H2OMOJOModelUtils
  28. Logging
  29. H2OMOJOWritable
  30. MLWritable
  31. HasMojo
  32. H2OMOJOFlattenedInput
  33. Model
  34. Transformer
  35. PipelineStage
  36. Logging
  37. Params
  38. Serializable
  39. Serializable
  40. Identifiable
  41. AnyRef
  42. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new H2ODRFMOJOModel(uid: String)

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Type Members

  1. class SerializationWarningsObject extends Serializable

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    Definition Classes
    H2OMOJOModel

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
    H2OSupervisedMOJOModelH2OMOJOModelH2OMOJOFlattenedInput
  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  8. val aucType: NullableStringParam

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    Attributes
    protected
  9. val balanceClasses: BooleanParam

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    Attributes
    protected
  10. val binomialDoubleTrees: BooleanParam

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  12. val buildTreeOneNode: BooleanParam

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    Attributes
    protected
  13. val calibrateModel: BooleanParam

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    Attributes
    protected
  14. val categoricalEncoding: NullableStringParam

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    Attributes
    protected
  15. val checkConstantResponse: BooleanParam

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    Attributes
    protected
  16. val classSamplingFactors: NullableFloatArrayParam

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    Attributes
    protected
  17. final def clear(param: Param[_]): H2ODRFMOJOModel.this.type

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    Definition Classes
    Params
  18. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  19. final val coefficients: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  20. val colSampleRateChangePerLevel: DoubleParam

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    Attributes
    protected
  21. val colSampleRatePerTree: DoubleParam

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    Attributes
    protected
  22. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  30. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  31. val customMetricFunc: NullableStringParam

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    Attributes
    protected
  32. final val dataFrameSerializer: Param[String]

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

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    Attributes
    protected
    Definition Classes
    Params
  34. final val defaultThreshold: DoubleParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  35. final val detailedPredictionCol: Param[String]

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  36. val distribution: NullableStringParam

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  39. final val endTime: LongParam

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

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

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    Definition Classes
    AnyRef → Any
  42. def explainParam(param: Param[_]): String

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    Definition Classes
    Params
  43. def explainParams(): String

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    Definition Classes
    Params
  44. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  45. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  46. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  47. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  48. def extractCoefficients(outputJson: JsonObject): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  49. def extractCoxPHPredictionColContent(): Column

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

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

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  52. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  55. def extractJsonTables(outputJson: JsonObject, fieldName: String): Array[DataFrame]

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  59. def extractModelSummary(outputJson: JsonObject): DataFrame

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    Attributes
    protected[ai.h2o.sparkling.ml.models]
    Definition Classes
    H2OMOJOModelUtils
  60. def extractMultinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionMultinomial
  61. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  66. def extractRegressionPredictionColContent(): Column

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

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

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  69. final val featureImportances: NullableDataFrameParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  74. val foldAssignment: NullableStringParam

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    Attributes
    protected
  75. val foldCol: NullableStringParam

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    Attributes
    protected
  76. val gainsliftBins: IntParam

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  79. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  80. def getAnomalyPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionAnomaly
  81. def getAucType(): String

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  82. def getBalanceClasses(): Boolean

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  83. def getBinomialDoubleTrees(): Boolean

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  84. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  85. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  86. def getBinomialPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionBinomial
  87. def getBuildTreeOneNode(): Boolean

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  88. def getCalibrateModel(): Boolean

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  89. def getCategoricalEncoding(): String

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  90. def getCheckConstantResponse(): Boolean

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

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    Definition Classes
    AnyRef → Any
  92. def getClassSamplingFactors(): Array[Float]

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  93. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  94. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  95. def getClusteringPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionClustering
  96. def getCoefficients(): DataFrame

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    Definition Classes
    H2OMOJOModel
  97. def getColSampleRateChangePerLevel(): Double

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  98. def getColSampleRatePerTree(): Double

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  99. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  101. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  103. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  104. def getCoxPHPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  105. 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
  106. def getCrossValidationMetricsObject(): H2OMetrics

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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
    H2OMOJOModel
  107. 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
  108. def getCrossValidationModels(): Seq[H2ODRFMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  110. 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
  111. 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
  112. def getCustomMetricFunc(): String

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  113. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  115. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  116. def getDetailedPredictionCol(): String

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

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

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  119. def getDimReductionPredictionSchema(): StructType

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  120. def getDimReductionPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

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  121. def getDistribution(): String

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

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    Definition Classes
    H2OMOJOModel
  123. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  124. def getExportCheckpointsDir(): String

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  125. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  128. def getFoldAssignment(): String

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  129. def getFoldCol(): String

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  130. def getGainsliftBins(): Int

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  131. def getHistogramType(): String

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  132. def getIgnoreConstCols(): Boolean

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  133. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  134. def getKeepCrossValidationFoldAssignment(): Boolean

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  135. def getKeepCrossValidationModels(): Boolean

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  136. def getKeepCrossValidationPredictions(): Boolean

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  137. def getLabelCol(): String

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  138. def getMaxAfterBalanceSize(): Float

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  139. def getMaxConfusionMatrixSize(): Int

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  140. def getMaxDepth(): Int

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  141. def getMaxRuntimeSecs(): Double

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  142. def getMinRows(): Double

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  143. def getMinSplitImprovement(): Double

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  144. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  145. def getModelDetails(): String

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  148. def getModelSummary(): DataFrame

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    Definition Classes
    H2OMOJOModel
  149. def getMtries(): Int

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  150. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  151. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  152. def getMultinomialPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  153. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
    Annotations
    @DeprecatedMethod( x$2 , x$1 )
  154. def getNbins(): Int

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  155. def getNbinsCats(): Int

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  156. def getNbinsTopLevel(): Int

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  157. def getNfolds(): Int

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  158. def getNtrees(): Int

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    Definition Classes
    H2OTreeBasedMOJOParams
  159. def getOffsetCol(): String

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    Definition Classes
    H2OSupervisedMOJOParams
  160. final def getOrDefault[T](param: Param[T]): T

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  162. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  163. def getOrdinalPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

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

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    Definition Classes
    Params
  165. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  167. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  168. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  170. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  171. def getRegressionPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOFlattenedInput
  173. def getRunTime(): Long

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    Definition Classes
    H2OMOJOModel
  174. def getSampleRate(): Double

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  175. def getSampleRatePerClass(): Array[Double]

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  176. def getScoreEachIteration(): Boolean

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  177. def getScoreTreeInterval(): Int

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  178. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  179. def getSeed(): Long

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  180. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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    Attributes
    protected
    Definition Classes
    PredictionWithStageProbabilities
  181. def getStartTime(): Long

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    Definition Classes
    H2OMOJOModel
  182. def getStoppingMetric(): String

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  183. def getStoppingRounds(): Int

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  184. def getStoppingTolerance(): Double

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  185. 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
  186. def getTrainingMetricsObject(): H2OMetrics

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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
    H2OMOJOModel
  187. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  188. 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
  189. def getValidationMetricsObject(): H2OMetrics

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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
    H2OMOJOModel
  190. def getWeightCol(): String

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  191. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  192. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  193. def getWithStageResults(): Boolean

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

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  195. def getWordEmbeddingPredictionSchema(): StructType

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  196. def getWordEmbeddingPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config], featureCols: Seq[String]): UserDefinedFunction

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

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

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    Definition Classes
    Params
  199. def hasParent: Boolean

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    Definition Classes
    Model
  200. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  201. val histogramType: NullableStringParam

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    Attributes
    protected
  202. val ignoreConstCols: BooleanParam

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    Attributes
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  203. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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

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

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

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

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

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    Params
  209. final def isInstanceOf[T0]: Boolean

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

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    Definition Classes
    Params
  211. def isTraceEnabled(): Boolean

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

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

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    H2OMOJOModelUtils
  214. val keepCrossValidationFoldAssignment: BooleanParam

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  215. val keepCrossValidationModels: BooleanParam

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  216. val keepCrossValidationPredictions: BooleanParam

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  217. val labelCol: Param[String]

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  218. def log: Logger

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

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    Attributes
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    Logging
  220. def logDebug(msg: ⇒ String): Unit

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

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    Attributes
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    Logging
  222. def logError(msg: ⇒ String): Unit

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

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

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    Logging
  225. def logName: String

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

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    Attributes
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    Logging
  227. def logTrace(msg: ⇒ String): Unit

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

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    Attributes
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    Logging
  229. def logWarning(msg: ⇒ String): Unit

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

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  231. val maxAfterBalanceSize: FloatParam

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  232. val maxConfusionMatrixSize: IntParam

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  233. val maxDepth: IntParam

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  234. val maxRuntimeSecs: DoubleParam

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  235. val minRows: DoubleParam

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  236. val minSplitImprovement: DoubleParam

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  237. final val modelCategory: NullableStringParam

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    H2OMOJOModel
  238. final val modelDetails: NullableStringParam

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    H2OMOJOModel
  239. final val modelSummary: NullableDataFrameParam

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    H2OMOJOModel
  240. val mtries: IntParam

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    Attributes
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  241. final val namedMojoOutputColumns: Param[Boolean]

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    Attributes
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    Definition Classes
    H2OAlgorithmMOJOParams
  242. val nbins: IntParam

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  243. val nbinsCats: IntParam

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    Attributes
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  244. val nbinsTopLevel: IntParam

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  245. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  246. def nestedJsonFieldToDataFrame(outputJson: JsonObject, parentFieldName: String, fieldName: String): DataFrame

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    Attributes
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    H2OMOJOModelUtils
  247. val nfolds: IntParam

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  248. val nonSerializableField: AnyRef

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    Definition Classes
    H2OMOJOModel
  249. final def notify(): Unit

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    Definition Classes
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  250. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  251. final val ntrees: IntParam

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    Attributes
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    H2OTreeBasedMOJOParams
  252. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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

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

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

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

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

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

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    Attributes
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  259. def nullableStringPairArrayParam(name: String, doc: String): NullableStringPairArrayParam

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

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  261. def outputColumnName: String

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOModelH2OMOJOFlattenedInput
  262. def param[T](name: String, doc: String): Param[T]

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

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

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

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    Attributes
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    H2OAlgorithmMOJOParams
  266. final val runTime: LongParam

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    H2OMOJOModel
  267. val sampleRate: DoubleParam

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  268. val sampleRatePerClass: NullableDoubleArrayParam

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    Attributes
    protected
  269. def save(path: String): Unit

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

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  271. val scoreTreeInterval: IntParam

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  272. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  273. val seed: LongParam

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  274. final def set(paramPair: ParamPair[_]): H2ODRFMOJOModel.this.type

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  275. final def set(param: String, value: Any): H2ODRFMOJOModel.this.type

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  276. final def set[T](param: Param[T], value: T): H2ODRFMOJOModel.this.type

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    Definition Classes
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  277. def setDataFrameSerializer(fullClassName: String): H2ODRFMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  278. final def setDefault(paramPairs: ParamPair[_]*): H2ODRFMOJOModel.this.type

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  279. final def setDefault[T](param: Param[T], value: T): H2ODRFMOJOModel.this.type

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    Attributes
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    Params
  280. def setMojo(mojo: File): H2ODRFMOJOModel.this.type

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    Definition Classes
    HasMojo
  281. def setMojo(mojo: InputStream, mojoName: String): H2ODRFMOJOModel.this.type

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    Definition Classes
    HasMojo
  282. def setMojo(mojo: InputStream): H2ODRFMOJOModel.this.type

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

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    Definition Classes
    Model
  284. final val startTime: LongParam

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    H2OMOJOModel
  285. val stoppingMetric: NullableStringParam

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  286. val stoppingRounds: IntParam

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  287. val stoppingTolerance: DoubleParam

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

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

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

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    Definition Classes
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  291. def toString(): String

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    Definition Classes
    H2OMOJOModel → Identifiable → AnyRef → Any
  292. final val trainingMetrics: MapStringDoubleParam

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    H2OMOJOModel
  293. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  294. final val trainingParams: MapStringStringParam

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    Attributes
    protected
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    H2OMOJOModel
  295. def transform(dataset: Dataset[_]): DataFrame

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

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  298. def transformSchema(schema: StructType): StructType

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    Definition Classes
    H2OSupervisedMOJOModelH2OAlgorithmMOJOModel → PipelineStage
    Annotations
    @DeveloperApi()
  299. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
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    PipelineStage
    Annotations
    @DeveloperApi()
  300. val uid: String

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  301. 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
  302. final val validationMetrics: MapStringDoubleParam

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    Attributes
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    H2OMOJOModel
  303. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  304. final def wait(): Unit

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

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

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    Definition Classes
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    Annotations
    @throws( ... )
  307. val weightCol: NullableStringParam

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    Attributes
    protected
  308. final val withContributions: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  309. final val withLeafNodeAssignments: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  310. final val withStageResults: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  311. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from HasIgnoredColsOnMOJO

Inherited from H2OTreeBasedMOJOParams

Inherited from H2OSupervisedMOJOModel

Inherited from H2OSupervisedMOJOParams

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