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
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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. val colSampleRateChangePerLevel: DoubleParam

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    Attributes
    protected
  20. val colSampleRatePerTree: DoubleParam

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    Attributes
    protected
  21. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  29. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  30. val customMetricFunc: NullableStringParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  35. val distribution: NullableStringParam

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

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

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

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

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

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

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    Definition Classes
    Params
  42. def explainParams(): String

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    Definition Classes
    Params
  43. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  44. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  45. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  46. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  47. def extractCoxPHPredictionColContent(): Column

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

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

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  50. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  59. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  64. def extractRegressionPredictionColContent(): Column

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

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

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  67. final val featureImportances: NullableDataFrameParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  72. val foldAssignment: NullableStringParam

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    Attributes
    protected
  73. val foldCol: NullableStringParam

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    Attributes
    protected
  74. val gainsliftBins: IntParam

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  77. def getAnomalyPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  79. def getAucType(): String

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  80. def getBalanceClasses(): Boolean

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  81. def getBinomialDoubleTrees(): Boolean

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  82. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  83. def getBinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  85. def getBuildTreeOneNode(): Boolean

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  86. def getCalibrateModel(): Boolean

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  87. def getCategoricalEncoding(): String

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  88. def getCheckConstantResponse(): Boolean

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

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

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  91. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  92. def getClusteringPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionClustering
  94. def getColSampleRateChangePerLevel(): Double

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  95. def getColSampleRatePerTree(): Double

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  96. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  98. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  100. def getCoxPHPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  102. 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
  103. 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
  104. 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
  105. def getCrossValidationModels(): Seq[H2ODRFMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  107. 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
  108. 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
  109. def getCustomMetricFunc(): String

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  110. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  112. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  113. def getDetailedPredictionCol(): String

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

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

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  116. def getDimReductionPredictionSchema(): StructType

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

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  118. def getDistribution(): String

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

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    Definition Classes
    H2OMOJOModel
  120. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  121. def getExportCheckpointsDir(): String

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  122. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  125. def getFoldAssignment(): String

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  126. def getFoldCol(): String

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  127. def getGainsliftBins(): Int

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  128. def getHistogramType(): String

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  129. def getIgnoreConstCols(): Boolean

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  130. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  131. def getKeepCrossValidationFoldAssignment(): Boolean

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  132. def getKeepCrossValidationModels(): Boolean

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  133. def getKeepCrossValidationPredictions(): Boolean

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  134. def getLabelCol(): String

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  135. def getMaxAfterBalanceSize(): Float

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  136. def getMaxConfusionMatrixSize(): Int

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  137. def getMaxDepth(): Int

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  138. def getMaxRuntimeSecs(): Double

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  139. def getMinRows(): Double

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  140. def getMinSplitImprovement(): Double

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  141. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  142. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOModel
  146. def getMtries(): Int

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  147. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  148. def getMultinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  150. def getNamedMojoOutputColumns(): Boolean

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

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  152. def getNbinsCats(): Int

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  153. def getNbinsTopLevel(): Int

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  154. def getNfolds(): Int

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  155. def getNtrees(): Int

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    Definition Classes
    H2OTreeBasedMOJOParams
  156. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  159. def getOrdinalPredictionSchema(): StructType

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

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

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    Definition Classes
    Params
  162. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  164. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  165. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  167. def getRegressionPredictionSchema(): StructType

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

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

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

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    Definition Classes
    H2OMOJOModel
  171. def getSampleRate(): Double

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  172. def getSampleRatePerClass(): Array[Double]

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  173. def getScoreEachIteration(): Boolean

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  174. def getScoreTreeInterval(): Int

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  175. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  176. def getSeed(): Long

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  177. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OMOJOModel
  179. def getStoppingMetric(): String

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  180. def getStoppingRounds(): Int

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  181. def getStoppingTolerance(): Double

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  182. 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
  183. 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
  184. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  185. 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
  186. 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
  187. def getWeightCol(): String

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  188. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  189. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  190. def getWithStageResults(): Boolean

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

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  192. def getWordEmbeddingPredictionSchema(): StructType

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

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

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

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    Definition Classes
    Params
  196. def hasParent: Boolean

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    Definition Classes
    Model
  197. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  198. val histogramType: NullableStringParam

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    Attributes
    protected
  199. val ignoreConstCols: BooleanParam

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    Attributes
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  200. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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

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    Attributes
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    H2OAlgorithmMOJOModelH2OMOJOFlattenedInput
  202. def intArrayParam(name: String, doc: String): IntArrayParam

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

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

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

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

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    Definition Classes
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  207. def isTraceEnabled(): Boolean

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    Attributes
    protected
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    Logging
  208. def jsonFieldToDataFrame(outputJson: JsonObject, fieldName: String): DataFrame

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

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    Attributes
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    H2OMOJOModelUtils
  210. val keepCrossValidationFoldAssignment: BooleanParam

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  211. val keepCrossValidationModels: BooleanParam

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  212. val keepCrossValidationPredictions: BooleanParam

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  213. val labelCol: Param[String]

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  214. def log: Logger

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

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

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

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

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

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

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    Logging
  221. def logName: String

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

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

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

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

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

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  227. val maxAfterBalanceSize: FloatParam

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  228. val maxConfusionMatrixSize: IntParam

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  229. val maxDepth: IntParam

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  230. val maxRuntimeSecs: DoubleParam

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  231. val minRows: DoubleParam

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  232. val minSplitImprovement: DoubleParam

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  233. final val modelCategory: NullableStringParam

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    H2OMOJOModel
  234. final val modelDetails: NullableStringParam

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    H2OMOJOModel
  235. final val modelSummary: NullableDataFrameParam

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    H2OMOJOModel
  236. val mtries: IntParam

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    Attributes
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  237. final val namedMojoOutputColumns: Param[Boolean]

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    H2OAlgorithmMOJOParams
  238. val nbins: IntParam

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  239. val nbinsCats: IntParam

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  240. val nbinsTopLevel: IntParam

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

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    Definition Classes
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  242. val nfolds: IntParam

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  243. val nonSerializableField: AnyRef

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

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  245. final def notifyAll(): Unit

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  246. final val ntrees: IntParam

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

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

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

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

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

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

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

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

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

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  256. def outputColumnName: String

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

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

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    Definition Classes
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  259. var parent: Estimator[H2OMOJOModel]

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

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    Attributes
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    H2OAlgorithmMOJOParams
  261. final val runTime: LongParam

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    H2OMOJOModel
  262. val sampleRate: DoubleParam

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  263. val sampleRatePerClass: NullableDoubleArrayParam

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  264. def save(path: String): Unit

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

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  266. val scoreTreeInterval: IntParam

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  267. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  268. val seed: LongParam

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

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

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

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

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

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

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  275. def setMojo(mojo: File): H2ODRFMOJOModel.this.type

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

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

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

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    Definition Classes
    Model
  279. final val startTime: LongParam

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    H2OMOJOModel
  280. val stoppingMetric: NullableStringParam

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  281. val stoppingRounds: IntParam

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  282. val stoppingTolerance: DoubleParam

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

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

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

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    Definition Classes
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  286. def toString(): String

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

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    H2OMOJOModel
  288. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  289. final val trainingParams: MapStringStringParam

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

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

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

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

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

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

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  296. 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
  297. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  298. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  299. final def wait(): Unit

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

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    @throws( ... )
  301. final def wait(arg0: Long): Unit

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    @throws( ... )
  302. val weightCol: NullableStringParam

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    Attributes
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  303. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  304. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  305. final val withStageResults: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  306. 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