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. HasDataFrameSerializer
  24. SpecificMOJOParameters
  25. H2OMOJOModelUtils
  26. Logging
  27. H2OMOJOWritable
  28. MLWritable
  29. HasMojo
  30. H2OMOJOFlattenedInput
  31. Model
  32. Transformer
  33. PipelineStage
  34. Logging
  35. Params
  36. Serializable
  37. Serializable
  38. Identifiable
  39. AnyRef
  40. Any
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Visibility
  1. Public
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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 val dataFrameSerializer: Param[String]

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  36. val earlyStopping: BooleanParam

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    Attributes
    protected
  37. final val endTime: LongParam

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

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

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

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    Definition Classes
    Params
  41. def explainParams(): String

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    Definition Classes
    Params
  42. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  43. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  44. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  45. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  46. def extractCoxPHPredictionColContent(): Column

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

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

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  49. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  56. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  61. def extractRegressionPredictionColContent(): Column

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

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

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  64. val family: NullableStringParam

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    Attributes
    protected
  65. final val featureImportances: NullableDataFrameParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  70. val foldAssignment: NullableStringParam

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    Attributes
    protected
  71. val foldCol: NullableStringParam

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    Attributes
    protected
  72. val generateScoringHistory: BooleanParam

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

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

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  75. def getAnomalyPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionAnomaly
  76. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  77. def getAnomalyPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionAnomaly
  78. def getAucType(): String

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  79. def getBalanceClasses(): Boolean

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  80. def getBetaEpsilon(): Double

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  81. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  82. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  83. def getBinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionBinomial
  84. def getCalcLike(): Boolean

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  85. def getCheckpoint(): String

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

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

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  88. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  89. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  90. def getClusteringPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionClustering
  91. def getColdStart(): Boolean

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  92. def getComputePValues(): Boolean

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  93. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  95. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  97. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  98. def getCoxPHPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  99. 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
  100. 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
  101. 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
  102. def getCrossValidationModels(): Seq[H2OGLMMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  103. 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
  104. 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
  105. def getCustomMetricFunc(): String

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  106. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  108. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  109. def getDetailedPredictionCol(): String

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

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

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  112. def getDimReductionPredictionSchema(): StructType

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  113. def getDimReductionPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOModel
  115. def getEarlyStopping(): Boolean

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  116. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  117. def getExportCheckpointsDir(): String

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  118. def getFamily(): String

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  119. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  122. def getFoldAssignment(): String

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  123. def getFoldCol(): String

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  124. def getGenerateScoringHistory(): Boolean

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  125. def getGradientEpsilon(): Double

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  126. def getHGLM(): Boolean

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  127. def getIgnoreConstCols(): Boolean

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  128. def getIgnoredCols(): Array[String]

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

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  130. def getIntercept(): Boolean

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  131. def getKeepCrossValidationFoldAssignment(): Boolean

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  132. def getKeepCrossValidationModels(): Boolean

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  133. def getKeepCrossValidationPredictions(): Boolean

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  134. def getLabelCol(): String

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  135. def getLambdaMinRatio(): Double

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  136. def getLambdaSearch(): Boolean

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  137. def getLambdaValue(): Array[Double]

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  138. def getLink(): String

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  139. def getMaxActivePredictors(): Int

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  140. def getMaxAfterBalanceSize(): Float

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  141. def getMaxConfusionMatrixSize(): Int

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  142. def getMaxIterations(): Int

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  143. def getMaxRuntimeSecs(): Double

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  144. def getMissingValuesHandling(): String

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  145. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  146. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  150. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  151. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  152. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  153. def getNfolds(): Int

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  154. def getNlambdas(): Int

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  155. def getNonNegative(): Boolean

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  156. def getObjReg(): Double

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  157. def getObjectiveEpsilon(): Double

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  158. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  161. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  162. def getOrdinalPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  164. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  166. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  167. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  168. def getPrior(): Double

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  169. def getRandomFamily(): Array[String]

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  170. def getRandomLink(): Array[String]

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  171. def getRegressionPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionRegression
  172. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  173. def getRegressionPredictionUDF(): UserDefinedFunction

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

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

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  176. def getRunTime(): Long

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    Definition Classes
    H2OMOJOModel
  177. def getScoreEachIteration(): Boolean

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  178. def getScoreIterationInterval(): Int

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  179. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  180. def getSeed(): Long

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  181. def getSolver(): String

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  182. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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  184. def getStartTime(): Long

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    Definition Classes
    H2OMOJOModel
  185. def getStartval(): Array[Double]

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  186. def getStoppingMetric(): String

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  187. def getStoppingRounds(): Int

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  188. def getStoppingTolerance(): Double

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  189. def getTheta(): Double

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  190. def getTrainingMetrics(): Map[String, Double]

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    Returns a map of all metrics of the Double type calculated on the training dataset.

    Returns a map of all metrics of the Double type calculated on the training dataset.

    Definition Classes
    H2OMOJOModel
  191. def getTrainingMetricsObject(): 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
  192. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  193. def getTweedieLinkPower(): Double

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  194. def getTweedieVariancePower(): Double

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

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  198. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  199. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  200. def getWithStageResults(): Boolean

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

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  202. def getWordEmbeddingPredictionSchema(): StructType

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  203. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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  204. val gradientEpsilon: DoubleParam

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

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

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    Definition Classes
    Params
  207. def hasParent: Boolean

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    Definition Classes
    Model
  208. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  209. val ignoreConstCols: BooleanParam

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

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

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    Attributes
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    Logging
  212. def inputColumnNames: Array[String]

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

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

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  215. val interactions: NullableStringArrayParam

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  216. val intercept: BooleanParam

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

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  218. final def isInstanceOf[T0]: Boolean

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  219. final def isSet(param: Param[_]): Boolean

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  220. def isTraceEnabled(): Boolean

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

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

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    H2OMOJOModelUtils
  223. val keepCrossValidationFoldAssignment: BooleanParam

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  224. val keepCrossValidationModels: BooleanParam

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  225. val keepCrossValidationPredictions: BooleanParam

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  226. val labelCol: Param[String]

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  227. val lambdaMinRatio: DoubleParam

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  228. val lambdaSearch: BooleanParam

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  229. val lambdaValue: NullableDoubleArrayParam

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  230. val link: NullableStringParam

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  231. def log: Logger

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

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

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

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

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

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

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    Logging
  238. def logName: String

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

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    Logging
  240. def logTrace(msg: ⇒ String): Unit

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

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    Logging
  242. def logWarning(msg: ⇒ String): Unit

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

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  244. val maxActivePredictors: IntParam

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  245. val maxAfterBalanceSize: FloatParam

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  246. val maxConfusionMatrixSize: IntParam

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  247. val maxIterations: IntParam

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  248. val maxRuntimeSecs: DoubleParam

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  249. val missingValuesHandling: NullableStringParam

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  250. final val modelCategory: NullableStringParam

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    H2OMOJOModel
  251. final val modelDetails: NullableStringParam

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    H2OMOJOModel
  252. final val namedMojoOutputColumns: Param[Boolean]

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    H2OAlgorithmMOJOParams
  253. final def ne(arg0: AnyRef): Boolean

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  254. val nfolds: IntParam

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  255. val nlambdas: IntParam

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  256. val nonNegative: BooleanParam

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  257. final def notify(): Unit

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  258. final def notifyAll(): Unit

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  259. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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

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

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

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

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

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

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

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

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  268. val objReg: DoubleParam

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  269. val objectiveEpsilon: DoubleParam

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  270. def outputColumnName: String

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    H2OAlgorithmMOJOModelH2OMOJOFlattenedInput
  271. def param[T](name: String, doc: String): Param[T]

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

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

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

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    H2OAlgorithmMOJOParams
  275. val prior: DoubleParam

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  276. val randomFamily: NullableStringArrayParam

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  277. val randomLink: NullableStringArrayParam

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  278. val removeCollinearCols: BooleanParam

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  279. final val runTime: LongParam

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    H2OMOJOModel
  280. def save(path: String): Unit

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

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  282. val scoreIterationInterval: IntParam

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  283. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  284. val seed: LongParam

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

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

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

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    Definition Classes
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  288. def setDataFrameSerializer(fullClassName: String): H2OGLMMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  289. final def setDefault(paramPairs: ParamPair[_]*): H2OGLMMOJOModel.this.type

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

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  291. def setMojo(mojo: File): H2OGLMMOJOModel.this.type

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

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

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

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    Definition Classes
    Model
  295. val solver: NullableStringParam

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  296. val standardize: BooleanParam

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  297. final val startTime: LongParam

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    H2OMOJOModel
  298. val startval: NullableDoubleArrayParam

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  299. val stoppingMetric: NullableStringParam

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  300. val stoppingRounds: IntParam

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  301. val stoppingTolerance: DoubleParam

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

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

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

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  305. val theta: DoubleParam

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  306. def toString(): String

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

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    H2OMOJOModel
  308. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  309. final val trainingParams: MapStringStringParam

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    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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    @DeveloperApi()
  315. val tweedieLinkPower: DoubleParam

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  316. val tweedieVariancePower: DoubleParam

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  317. val uid: String

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    Definition Classes
    H2OGLMMOJOModelH2OSupervisedMOJOModelH2OAlgorithmMOJOModel → Identifiable
  318. 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
  319. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  320. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  321. final def wait(): Unit

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

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

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

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  325. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  326. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  327. final val withStageResults: BooleanParam

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    H2OAlgorithmMOJOParams
  328. 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 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