Class/Object

ai.h2o.sparkling.ml.models

H2OGBMMOJOModel

Related Docs: object H2OGBMMOJOModel | package models

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class H2OGBMMOJOModel extends H2OTreeBasedSupervisedMOJOModel with ParameterConstructorMethods with Logging with HasMonotoneConstraintsOnMOJO with HasIgnoredColsOnMOJO

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Inherited
  1. H2OGBMMOJOModel
  2. HasIgnoredColsOnMOJO
  3. HasMonotoneConstraintsOnMOJO
  4. ParameterConstructorMethods
  5. H2OTreeBasedSupervisedMOJOModel
  6. H2OTreeBasedMOJOParams
  7. H2OSupervisedMOJOModel
  8. H2OSupervisedMOJOParams
  9. H2OAlgorithmMOJOModel
  10. H2OAlgorithmMOJOParams
  11. H2OMOJOPrediction
  12. H2OMOJOPredictionOrdinal
  13. H2OMOJOPredictionCoxPH
  14. H2OMOJOPredictionBinomial
  15. H2OMOJOPredictionClustering
  16. H2OMOJOPredictionDimReduction
  17. H2OMOJOPredictionMultinomial
  18. PredictionWithStageProbabilities
  19. H2OMOJOPredictionAnomaly
  20. H2OMOJOPredictionWordEmbedding
  21. H2OMOJOPredictionRegression
  22. PredictionWithContributions
  23. H2OMOJOModel
  24. HasFeatureTypesOnMOJO
  25. H2OBaseMOJOParams
  26. HasDataFrameSerializer
  27. SpecificMOJOParameters
  28. H2OMOJOModelUtils
  29. Logging
  30. H2OMOJOWritable
  31. MLWritable
  32. HasMojo
  33. H2OMOJOFlattenedInput
  34. Model
  35. Transformer
  36. PipelineStage
  37. Logging
  38. Params
  39. Serializable
  40. Serializable
  41. Identifiable
  42. AnyRef
  43. Any
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Instance Constructors

  1. new H2OGBMMOJOModel(uid: String)

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Value Members

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  11. val buildTreeOneNode: BooleanParam

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    Attributes
    protected
  12. val calibrateModel: BooleanParam

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    Attributes
    protected
  13. val categoricalEncoding: NullableStringParam

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    Attributes
    protected
  14. val checkConstantResponse: BooleanParam

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    Attributes
    protected
  15. val classSamplingFactors: NullableFloatArrayParam

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    Attributes
    protected
  16. final def clear(param: Param[_]): H2OGBMMOJOModel.this.type

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    Definition Classes
    Params
  17. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  18. val colSampleRate: DoubleParam

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    Attributes
    protected
  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 customDistributionFunc: NullableStringParam

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    Attributes
    protected
  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 extractCoxPHPredictionColContent(): Column

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

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

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  51. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  60. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  65. def extractRegressionPredictionColContent(): Column

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

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

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  68. final val featureImportances: NullableDataFrameParam

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

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

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

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

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    Attributes
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    Definition Classes
    ParameterConstructorMethods
  73. val foldAssignment: NullableStringParam

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    Attributes
    protected
  74. val foldCol: NullableStringParam

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    Attributes
    protected
  75. val gainsliftBins: IntParam

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  78. def getAnomalyPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  80. def getAucType(): String

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  81. def getBalanceClasses(): 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 getColSampleRate(): Double

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  95. def getColSampleRateChangePerLevel(): Double

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  96. def getColSampleRatePerTree(): Double

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  97. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  99. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  101. def getCoxPHPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  103. 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
  104. 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
  105. 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
  106. def getCrossValidationModels(): Seq[H2OGBMMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  108. 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
  109. 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
  110. def getCustomDistributionFunc(): String

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  111. def getCustomMetricFunc(): String

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  112. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  114. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  115. def getDetailedPredictionCol(): String

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

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

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  118. def getDimReductionPredictionSchema(): StructType

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

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  120. def getDistribution(): String

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

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    Definition Classes
    H2OMOJOModel
  122. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  123. def getExportCheckpointsDir(): String

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  124. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  127. def getFoldAssignment(): String

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  128. def getFoldCol(): String

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  129. def getGainsliftBins(): Int

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  130. def getHistogramType(): String

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  131. def getHuberAlpha(): Double

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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 getLearnRate(): Double

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  139. def getLearnRateAnnealing(): Double

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  140. def getMaxAbsLeafnodePred(): Double

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  141. def getMaxAfterBalanceSize(): Float

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  142. def getMaxConfusionMatrixSize(): Int

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  143. def getMaxDepth(): Int

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  144. def getMaxRuntimeSecs(): Double

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  145. def getMinRows(): Double

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  146. def getMinSplitImprovement(): Double

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  147. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  148. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOModel
  152. def getMonotoneConstraints(): Map[String, Double]

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    Definition Classes
    HasMonotoneConstraintsOnMOJO
  153. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  154. def getMultinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  156. def getNamedMojoOutputColumns(): Boolean

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

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  158. def getNbinsCats(): Int

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  159. def getNbinsTopLevel(): Int

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  160. def getNfolds(): Int

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  161. def getNtrees(): Int

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    Definition Classes
    H2OTreeBasedMOJOParams
  162. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  165. def getOrdinalPredictionSchema(): StructType

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

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

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    Definition Classes
    Params
  168. def getPredNoiseBandwidth(): Double

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  169. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  171. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  172. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  173. def getQuantileAlpha(): Double

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  174. def getRegressionPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionRegression
  175. def getRegressionPredictionSchema(): StructType

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

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

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

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    Definition Classes
    H2OMOJOModel
  179. def getSampleRate(): Double

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  180. def getSampleRatePerClass(): Array[Double]

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  181. def getScoreEachIteration(): Boolean

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  182. def getScoreTreeInterval(): Int

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  183. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  184. def getSeed(): Long

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  185. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OMOJOModel
  187. def getStoppingMetric(): String

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  188. def getStoppingRounds(): Int

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  189. def getStoppingTolerance(): Double

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  190. 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
  191. 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
  192. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  193. def getTweediePower(): Double

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  194. 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
  195. 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
  196. def getWeightCol(): String

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  197. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  198. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  199. def getWithStageResults(): Boolean

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

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  201. def getWordEmbeddingPredictionSchema(): StructType

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

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

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

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    Definition Classes
    Params
  205. def hasParent: Boolean

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    Definition Classes
    Model
  206. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  207. val histogramType: NullableStringParam

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    Attributes
    protected
  208. val huberAlpha: DoubleParam

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    Attributes
    protected
  209. val ignoreConstCols: BooleanParam

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

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

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

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

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

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    protected
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    ParameterConstructorMethods
  215. final def isDefined(param: Param[_]): Boolean

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

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

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    Definition Classes
    Params
  218. def isTraceEnabled(): Boolean

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  221. val keepCrossValidationFoldAssignment: BooleanParam

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    Attributes
    protected
  222. val keepCrossValidationModels: BooleanParam

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    Attributes
    protected
  223. val keepCrossValidationPredictions: BooleanParam

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    Attributes
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  224. val labelCol: Param[String]

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    Attributes
    protected
  225. val learnRate: DoubleParam

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    Attributes
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  226. val learnRateAnnealing: DoubleParam

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    Attributes
    protected
  227. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  234. def logName: String

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

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

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

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

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

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    Attributes
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    Definition Classes
    ParameterConstructorMethods
  240. val maxAbsLeafnodePred: DoubleParam

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    Attributes
    protected
  241. val maxAfterBalanceSize: FloatParam

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    Attributes
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  242. val maxConfusionMatrixSize: IntParam

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    Attributes
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  243. val maxDepth: IntParam

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    Attributes
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  244. val maxRuntimeSecs: DoubleParam

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    Attributes
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  245. val minRows: DoubleParam

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    Attributes
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  246. val minSplitImprovement: DoubleParam

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    Attributes
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  247. final val modelCategory: NullableStringParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  248. final val modelDetails: NullableStringParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  249. final val modelSummary: NullableDataFrameParam

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  251. val nbins: IntParam

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    Attributes
    protected
  252. val nbinsCats: IntParam

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    Attributes
    protected
  253. val nbinsTopLevel: IntParam

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

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    Definition Classes
    AnyRef
  255. val nfolds: IntParam

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    Attributes
    protected
  256. val nonSerializableField: AnyRef

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

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

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    Definition Classes
    AnyRef
  259. final val ntrees: IntParam

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    Attributes
    protected
    Definition Classes
    H2OTreeBasedMOJOParams
  260. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  261. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  262. def nullableDoubleArrayParam(name: String, doc: String): NullableDoubleArrayParam

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    Attributes
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    ParameterConstructorMethods
  263. def nullableFloatArrayParam(name: String, doc: String): NullableFloatArrayParam

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    protected
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    ParameterConstructorMethods
  264. def nullableIntArrayParam(name: String, doc: String): NullableIntArrayParam

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    protected
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    ParameterConstructorMethods
  265. def nullableStringArrayArrayParam(name: String, doc: String): NullableStringArrayArrayParam

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

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

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

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  269. def outputColumnName: String

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

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    protected
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  271. lazy val params: Array[Param[_]]

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

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    Definition Classes
    Model
  273. val predNoiseBandwidth: DoubleParam

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    Attributes
    protected
  274. final val predictionCol: Param[String]

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  275. val quantileAlpha: DoubleParam

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    Attributes
    protected
  276. final val runTime: LongParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  277. val sampleRate: DoubleParam

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    Attributes
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  278. val sampleRatePerClass: NullableDoubleArrayParam

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

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

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    Attributes
    protected
  281. val scoreTreeInterval: IntParam

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    Attributes
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  282. final val scoringHistory: NullableDataFrameParam

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    Definition Classes
    H2OMOJOModel
  283. val seed: LongParam

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    protected
  284. final def set(paramPair: ParamPair[_]): H2OGBMMOJOModel.this.type

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  285. final def set(param: String, value: Any): H2OGBMMOJOModel.this.type

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    Params
  286. final def set[T](param: Param[T], value: T): H2OGBMMOJOModel.this.type

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    Definition Classes
    Params
  287. def setDataFrameSerializer(fullClassName: String): H2OGBMMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  288. final def setDefault(paramPairs: ParamPair[_]*): H2OGBMMOJOModel.this.type

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    Params
  289. final def setDefault[T](param: Param[T], value: T): H2OGBMMOJOModel.this.type

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    Attributes
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    Params
  290. def setMojo(mojo: File): H2OGBMMOJOModel.this.type

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    Definition Classes
    HasMojo
  291. def setMojo(mojo: InputStream, mojoName: String): H2OGBMMOJOModel.this.type

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    Definition Classes
    HasMojo
  292. def setMojo(mojo: InputStream): H2OGBMMOJOModel.this.type

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

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    Definition Classes
    Model
  294. final val startTime: LongParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  295. val stoppingMetric: NullableStringParam

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    Attributes
    protected
  296. val stoppingRounds: IntParam

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  297. val stoppingTolerance: DoubleParam

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

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

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

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    Definition Classes
    AnyRef
  301. def toString(): String

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  303. final val trainingMetricsObject: NullableMetricsParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  304. final val trainingParams: MapStringStringParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  305. def transform(dataset: Dataset[_]): DataFrame

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

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

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

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  310. val tweediePower: DoubleParam

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    Attributes
    protected
  311. val uid: String

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  312. 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
  313. final val validationMetrics: MapStringDoubleParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  314. final val validationMetricsObject: NullableMetricsParam

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    Attributes
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    H2OMOJOModel
  315. final def wait(): Unit

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

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

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

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    Attributes
    protected
  319. final val withContributions: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  320. final val withLeafNodeAssignments: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  321. final val withStageResults: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  322. 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