Class/Object

ai.h2o.sparkling.ml.models

H2OGLMMOJOModel

Related Docs: object H2OGLMMOJOModel | package models

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class H2OGLMMOJOModel extends H2OSupervisedMOJOModel with ParameterConstructorMethods with Logging with HasIgnoredColsOnMOJO

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Inherited
  1. H2OGLMMOJOModel
  2. HasIgnoredColsOnMOJO
  3. ParameterConstructorMethods
  4. H2OSupervisedMOJOModel
  5. H2OSupervisedMOJOParams
  6. H2OAlgorithmMOJOModel
  7. H2OAlgorithmMOJOParams
  8. H2OMOJOPrediction
  9. H2OMOJOPredictionOrdinal
  10. H2OMOJOPredictionCoxPH
  11. H2OMOJOPredictionBinomial
  12. H2OMOJOPredictionClustering
  13. H2OMOJOPredictionDimReduction
  14. H2OMOJOPredictionMultinomial
  15. PredictionWithStageProbabilities
  16. H2OMOJOPredictionAnomaly
  17. H2OMOJOPredictionWordEmbedding
  18. H2OMOJOPredictionRegression
  19. PredictionWithContributions
  20. H2OMOJOModel
  21. HasFeatureTypesOnMOJO
  22. H2OBaseMOJOParams
  23. SpecificMOJOParameters
  24. H2OMOJOModelUtils
  25. Logging
  26. H2OMOJOWritable
  27. MLWritable
  28. HasMojo
  29. H2OMOJOFlattenedInput
  30. Model
  31. Transformer
  32. PipelineStage
  33. Logging
  34. Params
  35. Serializable
  36. Serializable
  37. Identifiable
  38. AnyRef
  39. Any
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Visibility
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Instance Constructors

  1. new H2OGLMMOJOModel(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. val HGLM: BooleanParam

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    Attributes
    protected
  6. val alphaValue: NullableDoubleArrayParam

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    Attributes
    protected
  7. def applyPredictionUdf(dataset: Dataset[_], udfConstructor: (Array[String]) ⇒ UserDefinedFunction): DataFrame

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

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    Attributes
    protected
    Definition Classes
    H2OSupervisedMOJOModelH2OMOJOModelH2OMOJOFlattenedInput
  9. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  10. val aucType: NullableStringParam

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    Attributes
    protected
  11. val balanceClasses: BooleanParam

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    Attributes
    protected
  12. val betaEpsilon: DoubleParam

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  14. val calcLike: BooleanParam

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    Attributes
    protected
  15. val checkpoint: NullableStringParam

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    Attributes
    protected
  16. val classSamplingFactors: NullableFloatArrayParam

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    Attributes
    protected
  17. final def clear(param: Param[_]): H2OGLMMOJOModel.this.type

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    Definition Classes
    Params
  18. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  19. val coldStart: BooleanParam

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    Attributes
    protected
  20. val computePValues: BooleanParam

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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. val customMetricFunc: NullableStringParam

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    Attributes
    protected
  30. final def defaultCopy[T <: Params](extra: ParamMap): T

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  34. val earlyStopping: BooleanParam

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    Attributes
    protected
  35. final def eq(arg0: AnyRef): Boolean

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

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    Definition Classes
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  37. def explainParam(param: Param[_]): String

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    Definition Classes
    Params
  38. def explainParams(): String

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    Definition Classes
    Params
  39. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  40. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  41. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  42. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  43. def extractCoxPHPredictionColContent(): Column

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

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

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  46. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  52. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  57. def extractRegressionPredictionColContent(): Column

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

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

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  60. val family: NullableStringParam

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    Attributes
    protected
  61. final val featureImportances: NullableDataFrameParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  66. val foldAssignment: NullableStringParam

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    Attributes
    protected
  67. val foldCol: NullableStringParam

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    Attributes
    protected
  68. val generateScoringHistory: BooleanParam

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

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    Definition Classes
    Params
  70. def getAlphaValue(): Array[Double]

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  71. def getAnomalyPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionAnomaly
  72. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  73. def getAnomalyPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionAnomaly
  74. def getAucType(): String

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  75. def getBalanceClasses(): Boolean

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  76. def getBetaEpsilon(): Double

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  77. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  78. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  79. def getBinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionBinomial
  80. def getCalcLike(): Boolean

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  81. def getCheckpoint(): String

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

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

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  84. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  85. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  86. def getClusteringPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionClustering
  87. def getColdStart(): Boolean

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  88. def getComputePValues(): Boolean

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  89. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  91. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  93. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  94. def getCoxPHPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  95. 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
  96. def getCrossValidationMetricsObject(): H2OGLMMetrics

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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
    H2OGLMMOJOModelH2OMOJOModel
  97. 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
  98. def getCrossValidationModels(): Seq[H2OGLMMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  99. 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
  100. 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
  101. def getCustomMetricFunc(): String

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  102. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  103. def getDetailedPredictionCol(): String

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

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

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  106. def getDimReductionPredictionSchema(): StructType

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  107. def getDimReductionPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOModel
  109. def getEarlyStopping(): Boolean

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  110. def getExportCheckpointsDir(): String

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  111. def getFamily(): String

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  112. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  115. def getFoldAssignment(): String

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  116. def getFoldCol(): String

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  117. def getGenerateScoringHistory(): Boolean

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  118. def getGradientEpsilon(): Double

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  119. def getHGLM(): Boolean

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  120. def getIgnoreConstCols(): Boolean

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  121. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  122. def getInteractions(): Array[String]

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  123. def getIntercept(): Boolean

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  124. def getKeepCrossValidationFoldAssignment(): Boolean

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  125. def getKeepCrossValidationModels(): Boolean

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  126. def getKeepCrossValidationPredictions(): Boolean

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  127. def getLabelCol(): String

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  128. def getLambdaMinRatio(): Double

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  129. def getLambdaSearch(): Boolean

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  130. def getLambdaValue(): Array[Double]

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  131. def getLink(): String

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  132. def getMaxActivePredictors(): Int

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  133. def getMaxAfterBalanceSize(): Float

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  134. def getMaxConfusionMatrixSize(): Int

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  135. def getMaxIterations(): Int

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  136. def getMaxRuntimeSecs(): Double

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  137. def getMissingValuesHandling(): String

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  138. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  139. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  143. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  144. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  145. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  146. def getNfolds(): Int

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  147. def getNlambdas(): Int

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  148. def getNonNegative(): Boolean

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  149. def getObjReg(): Double

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  150. def getObjectiveEpsilon(): Double

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  151. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  154. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  155. def getOrdinalPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  157. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  159. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  160. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  161. def getPrior(): Double

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  162. def getRandomFamily(): Array[String]

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  163. def getRandomLink(): Array[String]

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  164. def getRegressionPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionRegression
  165. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  166. def getRegressionPredictionUDF(): UserDefinedFunction

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOFlattenedInput
  168. def getRemoveCollinearCols(): Boolean

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  169. def getScoreEachIteration(): Boolean

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  170. def getScoreIterationInterval(): Int

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  171. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  172. def getSeed(): Long

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  173. def getSolver(): String

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  174. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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  176. def getStartval(): Array[Double]

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  177. def getStoppingMetric(): String

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  178. def getStoppingRounds(): Int

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  179. def getStoppingTolerance(): Double

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  180. def getTheta(): Double

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  181. 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
  182. def getTrainingMetricsObject(): H2OGLMMetrics

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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
    H2OGLMMOJOModelH2OMOJOModel
  183. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  184. def getTweedieLinkPower(): Double

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  185. def getTweedieVariancePower(): Double

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  186. 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
  187. def getValidationMetricsObject(): H2OGLMMetrics

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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
    H2OGLMMOJOModelH2OMOJOModel
  188. def getWeightCol(): String

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  189. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  190. def getWithDetailedPredictionCol(): Boolean

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  192. def getWithStageResults(): Boolean

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

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  194. def getWordEmbeddingPredictionSchema(): StructType

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  195. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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  196. val gradientEpsilon: DoubleParam

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

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

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    Definition Classes
    Params
  199. def hasParent: Boolean

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    Definition Classes
    Model
  200. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  201. val ignoreConstCols: BooleanParam

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  207. val interactions: NullableStringArrayParam

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    Attributes
    protected
  208. val intercept: BooleanParam

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

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

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

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    Definition Classes
    Params
  212. def isTraceEnabled(): Boolean

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

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    Attributes
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    Definition Classes
    H2OMOJOModelUtils
  214. val keepCrossValidationFoldAssignment: BooleanParam

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  215. val keepCrossValidationModels: BooleanParam

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  216. val keepCrossValidationPredictions: BooleanParam

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  217. val labelCol: Param[String]

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  218. val lambdaMinRatio: DoubleParam

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  219. val lambdaSearch: BooleanParam

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  220. val lambdaValue: NullableDoubleArrayParam

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  221. val link: NullableStringParam

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  222. def log: Logger

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

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

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

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

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

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

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    Logging
  229. def logName: String

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

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

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

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

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

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  235. val maxActivePredictors: IntParam

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  236. val maxAfterBalanceSize: FloatParam

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  237. val maxConfusionMatrixSize: IntParam

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  238. val maxIterations: IntParam

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  239. val maxRuntimeSecs: DoubleParam

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  240. val missingValuesHandling: NullableStringParam

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  241. final val modelCategory: NullableStringParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  242. final val modelDetails: NullableStringParam

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    Attributes
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    H2OMOJOModel
  243. final val namedMojoOutputColumns: Param[Boolean]

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    Attributes
    protected
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    H2OAlgorithmMOJOParams
  244. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  245. val nfolds: IntParam

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  246. val nlambdas: IntParam

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  247. val nonNegative: BooleanParam

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    Attributes
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  248. final def notify(): Unit

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

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    Definition Classes
    AnyRef
  250. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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

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

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

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

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

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    Attributes
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  256. def nullableStringArrayParam(name: String, doc: String): NullableStringArrayParam

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

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    Attributes
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  258. def nullableStringParam(name: String, doc: String): NullableStringParam

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  259. val objReg: DoubleParam

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    Attributes
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  260. val objectiveEpsilon: DoubleParam

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    Attributes
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  261. def outputColumnName: String

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

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

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

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

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    Attributes
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    H2OAlgorithmMOJOParams
  266. val prior: DoubleParam

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  267. val randomFamily: NullableStringArrayParam

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  268. val randomLink: NullableStringArrayParam

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  269. val removeCollinearCols: BooleanParam

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    Attributes
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  270. def save(path: String): Unit

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

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  272. val scoreIterationInterval: IntParam

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  273. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  274. val seed: LongParam

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  275. final def set(paramPair: ParamPair[_]): H2OGLMMOJOModel.this.type

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  276. final def set(param: String, value: Any): H2OGLMMOJOModel.this.type

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    Params
  277. final def set[T](param: Param[T], value: T): H2OGLMMOJOModel.this.type

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    Definition Classes
    Params
  278. final def setDefault(paramPairs: ParamPair[_]*): H2OGLMMOJOModel.this.type

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  279. final def setDefault[T](param: Param[T], value: T): H2OGLMMOJOModel.this.type

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    Params
  280. def setMojo(mojo: File): H2OGLMMOJOModel.this.type

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    Definition Classes
    HasMojo
  281. def setMojo(mojo: InputStream, mojoName: String): H2OGLMMOJOModel.this.type

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    Definition Classes
    HasMojo
  282. def setMojo(mojo: InputStream): H2OGLMMOJOModel.this.type

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

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    Definition Classes
    Model
  284. val solver: NullableStringParam

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  285. val standardize: BooleanParam

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  286. val startval: NullableDoubleArrayParam

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  287. val stoppingMetric: NullableStringParam

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  288. val stoppingRounds: IntParam

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  289. val stoppingTolerance: DoubleParam

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

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

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

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    AnyRef
  293. val theta: DoubleParam

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  294. def toString(): String

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

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    H2OMOJOModel
  296. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  297. final val trainingParams: MapStringStringParam

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

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

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

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

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

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    PipelineStage
    Annotations
    @DeveloperApi()
  303. val tweedieLinkPower: DoubleParam

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  304. val tweedieVariancePower: DoubleParam

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  305. val uid: String

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    Definition Classes
    H2OGLMMOJOModelH2OSupervisedMOJOModelH2OAlgorithmMOJOModel → Identifiable
  306. 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
  307. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  308. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  309. final def wait(): Unit

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

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

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

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  313. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  314. final val withDetailedPredictionCol: BooleanParam

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    H2OAlgorithmMOJOParams
  315. final val withLeafNodeAssignments: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  316. final val withStageResults: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  317. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from HasIgnoredColsOnMOJO

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 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