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. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  30. val customMetricFunc: NullableStringParam

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  37. val earlyStopping: BooleanParam

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    Attributes
    protected
  38. final val endTime: LongParam

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

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

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

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    Definition Classes
    Params
  42. def explainParams(): String

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    Definition Classes
    Params
  43. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  44. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  45. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  46. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  47. def extractCoxPHPredictionColContent(): Column

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

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

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  50. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  59. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  64. def extractRegressionPredictionColContent(): Column

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

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

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  67. val family: NullableStringParam

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    Attributes
    protected
  68. final val featureImportances: NullableDataFrameParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  73. val foldAssignment: NullableStringParam

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    Attributes
    protected
  74. val foldCol: NullableStringParam

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    Attributes
    protected
  75. val generateScoringHistory: BooleanParam

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

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

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  78. def getAnomalyPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionAnomaly
  79. def getAnomalyPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  81. def getAucType(): String

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  82. def getBalanceClasses(): Boolean

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  83. def getBetaEpsilon(): Double

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  84. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  85. def getBinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  87. def getCalcLike(): Boolean

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  88. def getCheckpoint(): String

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

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

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  91. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  92. def getClusteringPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionClustering
  94. def getColdStart(): Boolean

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  95. def getComputePValues(): Boolean

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  96. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  98. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  100. def getCoxPHPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  102. def getCrossValidationMetrics(): Map[String, Double]

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    Returns a map of all combined cross-validation holdout metrics of the Double type.

    Returns a map of all combined cross-validation holdout metrics of the Double type.

    Definition Classes
    H2OMOJOModel
  103. def getCrossValidationMetricsObject(): 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
  104. def getCrossValidationMetricsSummary(): DataFrame

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    Returns a data frame with information about performance of individual folds according to various model metrics.

    Returns a data frame with information about performance of individual folds according to various model metrics.

    Definition Classes
    H2OMOJOModel
  105. def getCrossValidationModels(): Seq[H2OGLMMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  107. def getCurrentMetrics(): Map[String, Double]

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    Returns a map of all metrics of the Double type.

    Returns a map of all metrics of the Double type. If the nfolds parameter was set, the metrics were combined from cross-validation holdouts. If cross validations wasn't enabled, the metrics were calculated from a validation dataset. If the validation dataset wasn't available, the metrics were calculated from the training dataset.

    Definition Classes
    H2OMOJOModel
  108. def getCurrentMetricsObject(): H2OMetrics

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    Returns an object holding all metrics of the Double type and also more complex performance information.

    Returns an object holding all metrics of the Double type and also more complex performance information. If the nfolds parameter was set, the object was combined from cross-validation holdouts. If cross validations wasn't enabled, the object was calculated from a validation dataset. If the validation dataset wasn't available, the object was calculated from the training dataset.

    Definition Classes
    H2OMOJOModel
  109. def getCustomMetricFunc(): String

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  110. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  112. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  113. def getDetailedPredictionCol(): String

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

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

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  116. def getDimReductionPredictionSchema(): StructType

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

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

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    Definition Classes
    H2OMOJOModel
  119. def getEarlyStopping(): Boolean

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  120. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  121. def getExportCheckpointsDir(): String

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  122. def getFamily(): String

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  123. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  126. def getFoldAssignment(): String

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  127. def getFoldCol(): String

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  128. def getGenerateScoringHistory(): Boolean

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  129. def getGradientEpsilon(): Double

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  130. def getHGLM(): Boolean

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  131. def getIgnoreConstCols(): Boolean

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  132. def getIgnoredCols(): Array[String]

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

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  134. def getIntercept(): Boolean

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  135. def getKeepCrossValidationFoldAssignment(): Boolean

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  136. def getKeepCrossValidationModels(): Boolean

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  137. def getKeepCrossValidationPredictions(): Boolean

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  138. def getLabelCol(): String

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  139. def getLambdaMinRatio(): Double

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  140. def getLambdaSearch(): Boolean

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  141. def getLambdaValue(): Array[Double]

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  142. def getLink(): String

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  143. def getMaxActivePredictors(): Int

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  144. def getMaxAfterBalanceSize(): Float

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  145. def getMaxConfusionMatrixSize(): Int

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  146. def getMaxIterations(): Int

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  147. def getMaxRuntimeSecs(): Double

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  148. def getMissingValuesHandling(): String

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  149. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  150. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOModel
  154. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  155. def getMultinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  157. def getNamedMojoOutputColumns(): Boolean

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

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  159. def getNlambdas(): Int

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  160. def getNonNegative(): Boolean

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  161. def getObjReg(): Double

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  162. def getObjectiveEpsilon(): Double

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  163. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  166. def getOrdinalPredictionSchema(): StructType

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

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

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    Definition Classes
    Params
  169. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  171. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  172. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  173. def getPrior(): Double

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  174. def getRandomFamily(): Array[String]

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  175. def getRandomLink(): Array[String]

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  176. def getRegressionPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionRegression
  177. def getRegressionPredictionSchema(): StructType

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

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

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

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  181. def getRunTime(): Long

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    Definition Classes
    H2OMOJOModel
  182. def getScoreEachIteration(): Boolean

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  183. def getScoreIterationInterval(): Int

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  184. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  185. def getSeed(): Long

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  186. def getSolver(): String

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  187. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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  189. def getStartTime(): Long

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

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  191. def getStoppingMetric(): String

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  192. def getStoppingRounds(): Int

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  193. def getStoppingTolerance(): Double

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  194. def getTheta(): Double

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

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    Definition Classes
    H2OMOJOModel
  198. def getTweedieLinkPower(): Double

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  199. def getTweedieVariancePower(): Double

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  200. 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
  201. 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
  202. def getWeightCol(): String

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  203. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  204. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  205. def getWithStageResults(): Boolean

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

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  207. def getWordEmbeddingPredictionSchema(): StructType

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

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  209. val gradientEpsilon: DoubleParam

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

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

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    Definition Classes
    Params
  212. def hasParent: Boolean

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    Definition Classes
    Model
  213. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  214. val ignoreConstCols: BooleanParam

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

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

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

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

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

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    Definition Classes
    ParameterConstructorMethods
  220. val interactions: NullableStringArrayParam

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    Attributes
    protected
  221. val intercept: BooleanParam

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

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

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

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    Definition Classes
    Params
  225. def isTraceEnabled(): Boolean

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  228. val keepCrossValidationFoldAssignment: BooleanParam

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    Attributes
    protected
  229. val keepCrossValidationModels: BooleanParam

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    Attributes
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  230. val keepCrossValidationPredictions: BooleanParam

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    Attributes
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  231. val labelCol: Param[String]

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    Attributes
    protected
  232. val lambdaMinRatio: DoubleParam

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  233. val lambdaSearch: BooleanParam

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  234. val lambdaValue: NullableDoubleArrayParam

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    Attributes
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  235. val link: NullableStringParam

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    Attributes
    protected
  236. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  243. def logName: String

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

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

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

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

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

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    Attributes
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    Definition Classes
    ParameterConstructorMethods
  249. val maxActivePredictors: IntParam

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    Attributes
    protected
  250. val maxAfterBalanceSize: FloatParam

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    Attributes
    protected
  251. val maxConfusionMatrixSize: IntParam

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    Attributes
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  252. val maxIterations: IntParam

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  253. val maxRuntimeSecs: DoubleParam

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  254. val missingValuesHandling: NullableStringParam

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    Attributes
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  255. final val modelCategory: NullableStringParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  256. final val modelDetails: NullableStringParam

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  259. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  260. val nfolds: IntParam

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    Attributes
    protected
  261. val nlambdas: IntParam

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    Attributes
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  262. val nonNegative: BooleanParam

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    protected
  263. val nonSerializableField: AnyRef

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

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

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

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

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

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

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

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

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

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

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

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    Attributes
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  275. val objReg: DoubleParam

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    Attributes
    protected
  276. val objectiveEpsilon: DoubleParam

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    Attributes
    protected
  277. def outputColumnName: String

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

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    Definition Classes
    ParameterConstructorMethods
  279. lazy val params: Array[Param[_]]

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  282. val prior: DoubleParam

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    Attributes
    protected
  283. val randomFamily: NullableStringArrayParam

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    Attributes
    protected
  284. val randomLink: NullableStringArrayParam

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    Attributes
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  285. val removeCollinearCols: BooleanParam

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    Attributes
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  286. final val runTime: LongParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  287. def save(path: String): Unit

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

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    Attributes
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  289. val scoreIterationInterval: IntParam

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    Attributes
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  290. final val scoringHistory: NullableDataFrameParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  291. val seed: LongParam

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    Attributes
    protected
  292. final def set(paramPair: ParamPair[_]): H2OGLMMOJOModel.this.type

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Params
  297. final def setDefault[T](param: Param[T], value: T): H2OGLMMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  298. def setMojo(mojo: File): H2OGLMMOJOModel.this.type

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

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

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

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    Definition Classes
    Model
  302. val solver: NullableStringParam

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    Attributes
    protected
  303. val standardize: BooleanParam

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    Attributes
    protected
  304. final val startTime: LongParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  305. val startval: NullableDoubleArrayParam

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    Attributes
    protected
  306. val stoppingMetric: NullableStringParam

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    Attributes
    protected
  307. val stoppingRounds: IntParam

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  308. val stoppingTolerance: DoubleParam

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

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

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

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    Definition Classes
    AnyRef
  312. val theta: DoubleParam

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    Attributes
    protected
  313. def toString(): String

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

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

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

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

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

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

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

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

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    Attributes
    protected
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    PipelineStage
    Annotations
    @DeveloperApi()
  322. val tweedieLinkPower: DoubleParam

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    Attributes
    protected
  323. val tweedieVariancePower: DoubleParam

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    Attributes
    protected
  324. val uid: String

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    Definition Classes
    H2OGLMMOJOModelH2OSupervisedMOJOModelH2OAlgorithmMOJOModel → Identifiable
  325. 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
  326. final val validationMetrics: MapStringDoubleParam

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

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

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

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

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

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    Attributes
    protected
  332. final val withContributions: BooleanParam

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  335. 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