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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Type Members

  1. class SerializationWarningsObject extends Serializable

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    Definition Classes
    H2OMOJOModel

Value Members

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

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

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

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

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    Definition Classes
    AnyRef → Any
  5. 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. final val coefficients: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  20. val coldStart: BooleanParam

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    Attributes
    protected
  21. val computePValues: BooleanParam

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    Attributes
    protected
  22. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  30. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  31. val customMetricFunc: NullableStringParam

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  38. val earlyStopping: BooleanParam

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    Attributes
    protected
  39. final val endTime: LongParam

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

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

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

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    Definition Classes
    Params
  43. def explainParams(): String

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    Definition Classes
    Params
  44. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  45. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  46. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  47. def extractClusteringPredictionColContent(): Column

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

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

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

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

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  52. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  61. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  66. def extractRegressionPredictionColContent(): Column

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

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

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  69. val family: NullableStringParam

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    Attributes
    protected
  70. final val featureImportances: NullableDataFrameParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  75. val foldAssignment: NullableStringParam

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    Attributes
    protected
  76. val foldCol: NullableStringParam

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    Attributes
    protected
  77. val generateScoringHistory: BooleanParam

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

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

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  80. def getAnomalyPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionAnomaly
  81. def getAnomalyPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  83. def getAucType(): String

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  84. def getBalanceClasses(): Boolean

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  85. def getBetaEpsilon(): Double

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  86. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  87. def getBinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  89. def getCalcLike(): Boolean

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  90. def getCheckpoint(): String

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

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

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  93. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  94. def getClusteringPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionClustering
  96. def getCoefficients(): DataFrame

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    Definition Classes
    H2OMOJOModel
  97. def getColdStart(): Boolean

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  98. def getComputePValues(): Boolean

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  99. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  101. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  103. def getCoxPHPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  105. 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
  106. 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
  107. 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
  108. def getCrossValidationModels(): Seq[H2OGLMMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  110. 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
  111. 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
  112. def getCustomMetricFunc(): String

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  113. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  115. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  116. def getDetailedPredictionCol(): String

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

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

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  119. def getDimReductionPredictionSchema(): StructType

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

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

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    Definition Classes
    H2OMOJOModel
  122. def getEarlyStopping(): Boolean

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  123. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  124. def getExportCheckpointsDir(): String

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  125. def getFamily(): String

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  126. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  129. def getFoldAssignment(): String

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  130. def getFoldCol(): String

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  131. def getGenerateScoringHistory(): Boolean

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  132. def getGradientEpsilon(): Double

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  133. def getHGLM(): Boolean

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  134. def getIgnoreConstCols(): Boolean

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  135. def getIgnoredCols(): Array[String]

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

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  137. def getIntercept(): Boolean

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  138. def getKeepCrossValidationFoldAssignment(): Boolean

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  139. def getKeepCrossValidationModels(): Boolean

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  140. def getKeepCrossValidationPredictions(): Boolean

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  141. def getLabelCol(): String

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  142. def getLambdaMinRatio(): Double

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  143. def getLambdaSearch(): Boolean

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  144. def getLambdaValue(): Array[Double]

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  145. def getLink(): String

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  146. def getMaxActivePredictors(): Int

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  147. def getMaxAfterBalanceSize(): Float

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  148. def getMaxConfusionMatrixSize(): Int

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  149. def getMaxIterations(): Int

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  150. def getMaxRuntimeSecs(): Double

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  151. def getMissingValuesHandling(): String

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  152. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  153. def getModelDetails(): String

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  158. def getMultinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  160. def getNamedMojoOutputColumns(): Boolean

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

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  162. def getNlambdas(): Int

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  163. def getNonNegative(): Boolean

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  164. def getObjReg(): Double

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  165. def getObjectiveEpsilon(): Double

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  166. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  169. def getOrdinalPredictionSchema(): StructType

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

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

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    Definition Classes
    Params
  172. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  174. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  175. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  176. def getPrior(): Double

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  177. def getRandomFamily(): Array[String]

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  178. def getRandomLink(): Array[String]

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  179. def getRegressionPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionRegression
  180. def getRegressionPredictionSchema(): StructType

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

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

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

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  184. def getRunTime(): Long

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    Definition Classes
    H2OMOJOModel
  185. def getScoreEachIteration(): Boolean

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  186. def getScoreIterationInterval(): Int

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  187. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  188. def getSeed(): Long

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  189. def getSolver(): String

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  190. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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  192. def getStartTime(): Long

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

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  194. def getStoppingMetric(): String

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  195. def getStoppingRounds(): Int

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  196. def getStoppingTolerance(): Double

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  197. def getTheta(): Double

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  198. 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
  199. 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
  200. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  201. def getTweedieLinkPower(): Double

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  202. def getTweedieVariancePower(): Double

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  203. 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
  204. 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
  205. def getWeightCol(): String

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  206. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  207. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  208. def getWithStageResults(): Boolean

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

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  210. def getWordEmbeddingPredictionSchema(): StructType

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

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  212. val gradientEpsilon: DoubleParam

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

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

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    Definition Classes
    Params
  215. def hasParent: Boolean

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    Definition Classes
    Model
  216. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  217. val ignoreConstCols: BooleanParam

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  223. val interactions: NullableStringArrayParam

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    Attributes
    protected
  224. val intercept: BooleanParam

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

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

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

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    Definition Classes
    Params
  228. def isTraceEnabled(): Boolean

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  231. val keepCrossValidationFoldAssignment: BooleanParam

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    Attributes
    protected
  232. val keepCrossValidationModels: BooleanParam

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    Attributes
    protected
  233. val keepCrossValidationPredictions: BooleanParam

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    Attributes
    protected
  234. val labelCol: Param[String]

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    Attributes
    protected
  235. val lambdaMinRatio: DoubleParam

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    Attributes
    protected
  236. val lambdaSearch: BooleanParam

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    Attributes
    protected
  237. val lambdaValue: NullableDoubleArrayParam

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    Attributes
    protected
  238. val link: NullableStringParam

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    Attributes
    protected
  239. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  246. def logName: String

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  252. val maxActivePredictors: IntParam

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    Attributes
    protected
  253. val maxAfterBalanceSize: FloatParam

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    Attributes
    protected
  254. val maxConfusionMatrixSize: IntParam

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    Attributes
    protected
  255. val maxIterations: IntParam

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    Attributes
    protected
  256. val maxRuntimeSecs: DoubleParam

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    Attributes
    protected
  257. val missingValuesHandling: NullableStringParam

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    Attributes
    protected
  258. final val modelCategory: NullableStringParam

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  264. val nfolds: IntParam

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    Attributes
    protected
  265. val nlambdas: IntParam

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    Attributes
    protected
  266. val nonNegative: BooleanParam

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    Attributes
    protected
  267. val nonSerializableField: AnyRef

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

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

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  277. def nullableStringPairArrayParam(name: String, doc: String): NullableStringPairArrayParam

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

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    Attributes
    protected
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    ParameterConstructorMethods
  279. val objReg: DoubleParam

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    Attributes
    protected
  280. val objectiveEpsilon: DoubleParam

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    Attributes
    protected
  281. def outputColumnName: String

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  286. val prior: DoubleParam

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    Attributes
    protected
  287. val randomFamily: NullableStringArrayParam

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    Attributes
    protected
  288. val randomLink: NullableStringArrayParam

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    Attributes
    protected
  289. val removeCollinearCols: BooleanParam

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    Attributes
    protected
  290. final val runTime: LongParam

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

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

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    Attributes
    protected
  293. val scoreIterationInterval: IntParam

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    Attributes
    protected
  294. final val scoringHistory: NullableDataFrameParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  295. val seed: LongParam

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

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    Attributes
    protected
    Definition Classes
    Params
  297. final def set(param: String, value: Any): H2OGLMMOJOModel.this.type

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

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

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

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

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

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

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

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

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    Definition Classes
    Model
  306. val solver: NullableStringParam

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    Attributes
    protected
  307. val standardize: BooleanParam

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    Attributes
    protected
  308. final val startTime: LongParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  309. val startval: NullableDoubleArrayParam

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    Attributes
    protected
  310. val stoppingMetric: NullableStringParam

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    Attributes
    protected
  311. val stoppingRounds: IntParam

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    Attributes
    protected
  312. val stoppingTolerance: DoubleParam

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

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

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

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    Definition Classes
    AnyRef
  316. val theta: DoubleParam

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    Attributes
    protected
  317. def toString(): String

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

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  326. val tweedieLinkPower: DoubleParam

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    Attributes
    protected
  327. val tweedieVariancePower: DoubleParam

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    Attributes
    protected
  328. val uid: String

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    Definition Classes
    H2OGLMMOJOModelH2OSupervisedMOJOModelH2OAlgorithmMOJOModel → Identifiable
  329. 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
  330. final val validationMetrics: MapStringDoubleParam

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

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

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

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

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

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    Attributes
    protected
  336. final val withContributions: BooleanParam

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  339. 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