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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Visibility
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Instance Constructors

  1. new H2OGBMMOJOModel(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. 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. final val coefficients: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  19. val colSampleRate: DoubleParam

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    Attributes
    protected
  20. val colSampleRateChangePerLevel: DoubleParam

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    Attributes
    protected
  21. val colSampleRatePerTree: DoubleParam

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    Attributes
    protected
  22. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  30. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  31. val customDistributionFunc: NullableStringParam

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    Attributes
    protected
  32. val customMetricFunc: NullableStringParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  37. val distribution: NullableStringParam

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

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

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

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

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

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

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    Definition Classes
    Params
  44. def explainParams(): String

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    Definition Classes
    Params
  45. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  46. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  47. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  48. def extractClusteringPredictionColContent(): Column

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

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

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

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

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  53. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  62. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  67. def extractRegressionPredictionColContent(): Column

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

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

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  70. final val featureImportances: NullableDataFrameParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  75. val foldAssignment: NullableStringParam

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    Attributes
    protected
  76. val foldCol: NullableStringParam

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    Attributes
    protected
  77. val gainsliftBins: IntParam

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  80. def getAnomalyPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  82. def getAucType(): String

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  83. def getBalanceClasses(): Boolean

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  84. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  85. def getBinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  87. def getBuildTreeOneNode(): Boolean

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  88. def getCalibrateModel(): Boolean

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  89. def getCategoricalEncoding(): String

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  90. def getCheckConstantResponse(): Boolean

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

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

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  93. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  94. def getClusteringPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionClustering
  96. def getCoefficients(): DataFrame

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    Definition Classes
    H2OMOJOModel
  97. def getColSampleRate(): Double

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  98. def getColSampleRateChangePerLevel(): Double

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  99. def getColSampleRatePerTree(): Double

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  100. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  102. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  104. def getCoxPHPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  106. 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
  107. 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
  108. 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
  109. def getCrossValidationModels(): Seq[H2OGBMMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  111. 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
  112. 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
  113. def getCustomDistributionFunc(): String

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  114. def getCustomMetricFunc(): String

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  115. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  117. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  118. def getDetailedPredictionCol(): String

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

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

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  121. def getDimReductionPredictionSchema(): StructType

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

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  123. def getDistribution(): String

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

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    Definition Classes
    H2OMOJOModel
  125. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  126. def getExportCheckpointsDir(): String

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  127. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  130. def getFoldAssignment(): String

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  131. def getFoldCol(): String

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  132. def getGainsliftBins(): Int

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  133. def getHistogramType(): String

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  134. def getHuberAlpha(): Double

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  135. def getIgnoreConstCols(): Boolean

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  136. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  137. def getInteractionConstraints(): Array[Array[String]]

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  138. def getKeepCrossValidationFoldAssignment(): Boolean

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  139. def getKeepCrossValidationModels(): Boolean

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  140. def getKeepCrossValidationPredictions(): Boolean

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  141. def getLabelCol(): String

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  142. def getLearnRate(): Double

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  143. def getLearnRateAnnealing(): Double

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  144. def getMaxAbsLeafnodePred(): Double

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  145. def getMaxAfterBalanceSize(): Float

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  146. def getMaxConfusionMatrixSize(): Int

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  147. def getMaxDepth(): Int

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  148. def getMaxRuntimeSecs(): Double

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  149. def getMinRows(): Double

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  150. def getMinSplitImprovement(): Double

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  151. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  152. def getModelDetails(): String

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  158. def getMultinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  160. def getNamedMojoOutputColumns(): Boolean

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

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  162. def getNbinsCats(): Int

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  163. def getNbinsTopLevel(): Int

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  164. def getNfolds(): Int

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  165. def getNtrees(): Int

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    Definition Classes
    H2OTreeBasedMOJOParams
  166. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  169. def getOrdinalPredictionSchema(): StructType

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

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

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    Definition Classes
    Params
  172. def getPredNoiseBandwidth(): Double

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  173. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  175. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  176. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  177. def getQuantileAlpha(): Double

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  178. def getRegressionPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionRegression
  179. def getRegressionPredictionSchema(): StructType

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

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

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

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    Definition Classes
    H2OMOJOModel
  183. def getSampleRate(): Double

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  184. def getSampleRatePerClass(): Array[Double]

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  185. def getScoreEachIteration(): Boolean

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  186. def getScoreTreeInterval(): Int

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  187. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  188. def getSeed(): Long

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  189. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OMOJOModel
  191. def getStoppingMetric(): String

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  192. def getStoppingRounds(): Int

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  193. def getStoppingTolerance(): Double

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  194. 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
  195. 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
  196. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  197. def getTweediePower(): Double

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  198. 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
  199. 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
  200. def getWeightCol(): String

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  201. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  202. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  203. def getWithStageResults(): Boolean

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

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  205. def getWordEmbeddingPredictionSchema(): StructType

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

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

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

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    Definition Classes
    Params
  209. def hasParent: Boolean

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    Definition Classes
    Model
  210. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  211. val histogramType: NullableStringParam

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    Attributes
    protected
  212. val huberAlpha: DoubleParam

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    Attributes
    protected
  213. val ignoreConstCols: BooleanParam

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    Attributes
    protected
  214. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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

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

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

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    Attributes
    protected
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    ParameterConstructorMethods
  218. val interactionConstraints: NullableStringArrayArrayParam

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

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

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

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    Definition Classes
    Params
  222. def isTraceEnabled(): Boolean

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  225. val keepCrossValidationFoldAssignment: BooleanParam

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    Attributes
    protected
  226. val keepCrossValidationModels: BooleanParam

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    Attributes
    protected
  227. val keepCrossValidationPredictions: BooleanParam

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    Attributes
    protected
  228. val labelCol: Param[String]

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    Attributes
    protected
  229. val learnRate: DoubleParam

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    Attributes
    protected
  230. val learnRateAnnealing: DoubleParam

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    Attributes
    protected
  231. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  238. def logName: String

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  244. val maxAbsLeafnodePred: DoubleParam

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    Attributes
    protected
  245. val maxAfterBalanceSize: FloatParam

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    Attributes
    protected
  246. val maxConfusionMatrixSize: IntParam

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    Attributes
    protected
  247. val maxDepth: IntParam

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    Attributes
    protected
  248. val maxRuntimeSecs: DoubleParam

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    Attributes
    protected
  249. val minRows: DoubleParam

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    Attributes
    protected
  250. val minSplitImprovement: DoubleParam

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    Attributes
    protected
  251. final val modelCategory: NullableStringParam

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  255. val nbins: IntParam

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    Attributes
    protected
  256. val nbinsCats: IntParam

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    Attributes
    protected
  257. val nbinsTopLevel: IntParam

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  260. val nfolds: IntParam

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    Attributes
    protected
  261. val nonSerializableField: AnyRef

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

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

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    Definition Classes
    AnyRef
  264. final val ntrees: IntParam

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  268. def nullableFloatArrayParam(name: String, doc: String): NullableFloatArrayParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  269. def nullableIntArrayParam(name: String, doc: String): NullableIntArrayParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  270. def nullableStringArrayArrayParam(name: String, doc: String): NullableStringArrayArrayParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  271. def nullableStringArrayParam(name: String, doc: String): NullableStringArrayParam

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    Attributes
    protected
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    ParameterConstructorMethods
  272. def nullableStringPairArrayParam(name: String, doc: String): NullableStringPairArrayParam

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    Attributes
    protected
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    ParameterConstructorMethods
  273. def nullableStringParam(name: String, doc: String): NullableStringParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  274. def outputColumnName: String

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  276. lazy val params: Array[Param[_]]

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

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    Definition Classes
    Model
  278. val predNoiseBandwidth: DoubleParam

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  280. val quantileAlpha: DoubleParam

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    Attributes
    protected
  281. final val runTime: LongParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  282. val sampleRate: DoubleParam

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    Attributes
    protected
  283. val sampleRatePerClass: NullableDoubleArrayParam

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

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

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    Attributes
    protected
  286. val scoreTreeInterval: IntParam

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    Attributes
    protected
  287. final val scoringHistory: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  288. val seed: LongParam

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

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    Attributes
    protected
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    Params
  290. final def set(param: String, value: Any): H2OGBMMOJOModel.this.type

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

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

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

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    Attributes
    protected
    Definition Classes
    Params
  294. final def setDefault[T](param: Param[T], value: T): H2OGBMMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  295. def setMojo(mojo: File): H2OGBMMOJOModel.this.type

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

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

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

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    Definition Classes
    Model
  299. final val startTime: LongParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  300. val stoppingMetric: NullableStringParam

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    Attributes
    protected
  301. val stoppingRounds: IntParam

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    Attributes
    protected
  302. val stoppingTolerance: DoubleParam

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    Attributes
    protected
  303. def stringArrayParam(name: String, doc: String): StringArrayParam

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    Attributes
    protected
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    ParameterConstructorMethods
  304. def stringParam(name: String, doc: String): Param[String]

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  305. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  306. def toString(): String

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

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

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

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

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

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

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

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

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

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    Attributes
    protected
  316. val uid: String

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  317. 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
  318. final val validationMetrics: MapStringDoubleParam

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

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

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

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

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

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    Attributes
    protected
  324. final val withContributions: BooleanParam

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  327. 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