Class/Object

ai.h2o.sparkling.ml.models

H2OGLRMMOJOModel

Related Docs: object H2OGLRMMOJOModel | package models

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class H2OGLRMMOJOModel extends H2OFeatureMOJOModel with H2OGLRMMOJOBase with ParameterConstructorMethods with Logging

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Inherited
  1. H2OGLRMMOJOModel
  2. H2OGLRMMOJOBase
  3. H2OGLRMExtraParams
  4. H2ODimReductionMOJOModel
  5. H2ODimReductionExtraParams
  6. HasInputColsOnMOJO
  7. ParameterConstructorMethods
  8. HasOutputCol
  9. H2OFeatureMOJOModel
  10. H2OFeatureEstimatorBase
  11. H2OMOJOModel
  12. HasFeatureTypesOnMOJO
  13. H2OBaseMOJOParams
  14. HasDataFrameSerializer
  15. SpecificMOJOParameters
  16. H2OMOJOModelUtils
  17. Logging
  18. H2OMOJOWritable
  19. MLWritable
  20. HasMojo
  21. H2OMOJOFlattenedInput
  22. Model
  23. Transformer
  24. PipelineStage
  25. Logging
  26. Params
  27. Serializable
  28. Serializable
  29. Identifiable
  30. AnyRef
  31. Any
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Visibility
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Instance Constructors

  1. new H2OGLRMMOJOModel(uid: String)

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Type Members

  1. class SerializationWarningsObject extends Serializable

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    Definition Classes
    H2OMOJOModel

Value Members

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

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

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

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

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    Definition Classes
    AnyRef → Any
  5. def applyPredictionUdf(dataset: Dataset[_], udfConstructor: (Array[String]) ⇒ UserDefinedFunction): DataFrame

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelH2OMOJOFlattenedInput
  7. val archetypes: NullableDataFrameParam

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    Attributes
    protected
  8. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  9. val avgChangeObj: DoubleParam

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  11. final def clear(param: Param[_]): H2OGLRMMOJOModel.this.type

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    Definition Classes
    Params
  12. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  13. final val coefficients: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  14. final val convertInvalidNumbersToNa: BooleanParam

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

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    Attributes
    protected
    Definition Classes
    H2OBaseMOJOParams
  16. def copy(extra: ParamMap): H2OFeatureMOJOModel

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    Definition Classes
    H2OFeatureMOJOModelH2OMOJOModel → Model → Transformer → PipelineStage → Params
  17. def copyExtraParams(to: H2ODimReductionExtraParams): Unit

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    Attributes
    protected
    Definition Classes
    H2OGLRMExtraParamsH2ODimReductionExtraParams
  18. def copyValues[T <: Params](to: T, extra: ParamMap): T

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  23. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  24. final val dataFrameSerializer: Param[String]

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  27. def doubleArrayParam(name: String, doc: String): DoubleArrayParam

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

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    Definition Classes
    ParameterConstructorMethods
  29. val eigenvectors: NullableDataFrameParam

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    Attributes
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  30. final val endTime: LongParam

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

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

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    Definition Classes
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  33. val expandUserY: BooleanParam

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    Attributes
    protected
  34. def explainParam(param: Param[_]): String

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    Definition Classes
    Params
  35. def explainParams(): String

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    Definition Classes
    Params
  36. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  37. def extractCoefficients(outputJson: JsonObject): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  38. def extractCrossValidationMetricsSummary(modelJson: JsonObject): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  39. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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    Attributes
    protected[ai.h2o.sparkling.ml.models]
    Definition Classes
    H2OMOJOModelUtils
  47. final def extractParamMap(): ParamMap

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  50. def extractScoringHistory(outputJson: JsonObject): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  51. final val featureImportances: NullableDataFrameParam

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

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    Attributes
    protected
    Definition Classes
    HasFeatureTypesOnMOJO
  53. def finalize(): Unit

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  55. val gammaX: DoubleParam

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    Attributes
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  56. val gammaY: DoubleParam

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

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    Definition Classes
    Params
  58. def getArchetypes(): DataFrame

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  59. def getAvgChangeObj(): Double

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

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    Definition Classes
    AnyRef → Any
  61. def getCoefficients(): DataFrame

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    Definition Classes
    H2OMOJOModel
  62. def getConvertInvalidNumbersToNa(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
  63. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
  64. 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
  65. def getCrossValidationMetricsObject(): H2OGLRMMetrics

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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
    H2OGLRMMOJOModelH2OMOJOModel
  66. 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
  67. def getCrossValidationModels(): Seq[H2OGLRMMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  69. 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
  70. 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
  71. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  73. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  74. def getDomainValues(): Map[String, Array[String]]

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    Definition Classes
    H2OMOJOModel
  75. def getEigenvectors(): DataFrame

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  76. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  77. def getExpandUserY(): Boolean

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  78. def getExportCheckpointsDir(): String

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  79. def getFeatureImportances(): DataFrame

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

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    Definition Classes
    HasFeatureTypesOnMOJO
  81. def getGammaX(): Double

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  82. def getGammaY(): Double

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  83. def getIgnoreConstCols(): Boolean

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  84. def getIgnoredCols(): Array[String]

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  85. def getImportance(): DataFrame

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  86. def getImputeOriginal(): Boolean

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  87. def getInit(): String

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  88. def getInitStepSize(): Double

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  89. def getInputCols(): Array[String]

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    Definition Classes
    HasInputColsOnMOJO
  90. def getIterations(): Int

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  91. def getK(): Int

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  92. def getLoadingName(): String

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  93. def getLoss(): String

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  94. def getLossByCol(): Array[String]

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  95. def getMaxIterations(): Int

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  96. def getMaxRuntimeSecs(): Double

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  97. def getMaxScoringIterations(): Int

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    Definition Classes
    H2OGLRMExtraParams
  98. def getMaxUpdates(): Int

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  99. def getMinStepSize(): Double

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  100. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  101. def getModelDetails(): String

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

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

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    Attributes
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    Definition Classes
    H2OMOJOModelUtils
  104. def getModelSummary(): DataFrame

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    Definition Classes
    H2OMOJOModel
  105. def getMultiLoss(): String

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  106. def getObjective(): Double

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  107. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  108. def getOutputCol(): String

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    Definition Classes
    HasOutputCol
  109. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  110. def getPeriod(): Int

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  111. def getReconstructedCol(): String

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    Definition Classes
    H2OGLRMExtraParams
  112. def getRecoverSvd(): Boolean

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  113. def getRegularizationX(): String

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  114. def getRegularizationY(): String

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  115. def getRelevantColumnNames(flatDataFrame: DataFrame, inputs: Array[String]): Array[String]

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    Attributes
    protected
    Definition Classes
    H2OMOJOFlattenedInput
  116. def getRepresentationName(): String

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  117. def getRunTime(): Long

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    Definition Classes
    H2OMOJOModel
  118. def getScoreEachIteration(): Boolean

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  119. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  120. def getSeed(): Long

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  121. def getSingularVals(): Array[Double]

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  122. def getStartTime(): Long

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    Definition Classes
    H2OMOJOModel
  123. def getStepSize(): Double

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  124. def getSvdMethod(): String

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  125. 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
  126. def getTrainingMetricsObject(): H2OGLRMMetrics

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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
    H2OGLRMMOJOModelH2OMOJOModel
  127. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  128. def getTransform(): String

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  129. def getUpdates(): Int

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  130. 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
  131. def getValidationMetricsObject(): H2OGLRMMetrics

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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
    H2OGLRMMOJOModelH2OMOJOModel
  132. def getWithReconstructedCol(): Boolean

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    Definition Classes
    H2OGLRMExtraParams
  133. final def hasDefault[T](param: Param[T]): Boolean

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

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    Definition Classes
    Params
  135. def hasParent: Boolean

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    Definition Classes
    Model
  136. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  137. val ignoreConstCols: BooleanParam

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  138. val ignoredCols: NullableStringArrayParam

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  139. val importance: NullableDataFrameParam

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  140. val imputeOriginal: BooleanParam

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  141. val init: NullableStringParam

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  142. val initStepSize: DoubleParam

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  143. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
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    Definition Classes
    Logging
  144. val inputCols: NullableStringArrayParam

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    Attributes
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    Definition Classes
    HasInputColsOnMOJO
  145. def inputColumnNames: Array[String]

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    Attributes
    protected
    Definition Classes
    H2ODimReductionMOJOModelH2OMOJOFlattenedInput
  146. def intArrayParam(name: String, doc: String): IntArrayParam

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    ParameterConstructorMethods
  147. def intParam(name: String, doc: String): IntParam

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

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    Params
  149. final def isInstanceOf[T0]: Boolean

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

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    Params
  151. def isTraceEnabled(): Boolean

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    Definition Classes
    Logging
  152. val iterations: IntParam

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

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

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    H2OMOJOModelUtils
  155. val k: IntParam

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  156. val loadingName: NullableStringParam

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  157. def log: Logger

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

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

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

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

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

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

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    Definition Classes
    Logging
  164. def logName: String

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

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

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

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

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

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    ParameterConstructorMethods
  170. val loss: NullableStringParam

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  171. val lossByCol: NullableStringArrayParam

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  172. val maxIterations: IntParam

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  173. val maxRuntimeSecs: DoubleParam

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  174. val maxUpdates: IntParam

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  175. val minStepSize: DoubleParam

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  176. final val modelCategory: NullableStringParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  177. final val modelDetails: NullableStringParam

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    Definition Classes
    H2OMOJOModel
  178. final val modelSummary: NullableDataFrameParam

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    protected
    Definition Classes
    H2OMOJOModel
  179. def mojoUDF: UserDefinedFunction

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    Attributes
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    Definition Classes
    H2ODimReductionMOJOModelH2OFeatureMOJOModel
  180. val multiLoss: NullableStringParam

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  181. final def ne(arg0: AnyRef): Boolean

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

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    Attributes
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    Definition Classes
    H2OMOJOModelUtils
  183. val nonSerializableField: AnyRef

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

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    AnyRef
  185. final def notifyAll(): Unit

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

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

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    ParameterConstructorMethods
  188. def nullableDoubleArrayParam(name: String, doc: String): NullableDoubleArrayParam

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

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

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

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

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

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

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    ParameterConstructorMethods
  195. val objective: DoubleParam

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  196. def outputColumnName: String

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    Definition Classes
    H2OFeatureMOJOModelH2OMOJOFlattenedInput
  197. def outputSchema: Seq[StructField]

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    Attributes
    protected
    Definition Classes
    H2OGLRMExtraParamsH2ODimReductionExtraParamsH2OFeatureEstimatorBase
  198. def param[T](name: String, doc: String): Param[T]

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

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

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    Definition Classes
    Model
  201. val period: IntParam

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    Attributes
    protected
  202. def reconstructedEnabled: Boolean

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    Attributes
    protected
    Definition Classes
    H2OGLRMMOJOBaseH2ODimReductionMOJOModel
  203. val recoverSvd: BooleanParam

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    Attributes
    protected
  204. val regularizationX: NullableStringParam

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    Attributes
    protected
  205. val regularizationY: NullableStringParam

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    Attributes
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  206. val representationName: NullableStringParam

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    Attributes
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  207. final val runTime: LongParam

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

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

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    Attributes
    protected
  210. final val scoringHistory: NullableDataFrameParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  211. val seed: LongParam

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    Attributes
    protected
  212. final def set(paramPair: ParamPair[_]): H2OGLRMMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  213. final def set(param: String, value: Any): H2OGLRMMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  214. final def set[T](param: Param[T], value: T): H2OGLRMMOJOModel.this.type

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    Definition Classes
    Params
  215. def setDataFrameSerializer(fullClassName: String): H2OGLRMMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  216. final def setDefault(paramPairs: ParamPair[_]*): H2OGLRMMOJOModel.this.type

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    Attributes
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    Definition Classes
    Params
  217. final def setDefault[T](param: Param[T], value: T): H2OGLRMMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  218. def setMaxScoringIterations(value: Int): H2OGLRMMOJOModel.this.type

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    Definition Classes
    H2OGLRMExtraParams
  219. def setMojo(mojo: File): H2OGLRMMOJOModel.this.type

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    Definition Classes
    HasMojo
  220. def setMojo(mojo: InputStream, mojoName: String): H2OGLRMMOJOModel.this.type

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    Definition Classes
    HasMojo
  221. def setMojo(mojo: InputStream): H2OGLRMMOJOModel.this.type

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    Definition Classes
    HasMojo
  222. def setOutputCol(name: String): H2OGLRMMOJOModel.this.type

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    Definition Classes
    HasOutputCol
  223. def setParent(parent: Estimator[H2OMOJOModel]): H2OMOJOModel

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    Definition Classes
    Model
  224. def setReconstructedCol(name: String): H2OGLRMMOJOModel.this.type

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    Definition Classes
    H2OGLRMExtraParams
  225. def setWithReconstructedCol(flag: Boolean): H2OGLRMMOJOModel.this.type

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    Definition Classes
    H2OGLRMExtraParams
  226. val singularVals: NullableDoubleArrayParam

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    Attributes
    protected
  227. final val startTime: LongParam

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    Attributes
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    H2OMOJOModel
  228. val stepSize: DoubleParam

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

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

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    ParameterConstructorMethods
  231. val svdMethod: NullableStringParam

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

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    Definition Classes
    AnyRef
  233. def toString(): String

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

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    Attributes
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    Definition Classes
    H2OMOJOModel
  235. final val trainingMetricsObject: NullableMetricsParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  236. final val trainingParams: MapStringStringParam

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

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    Definition Classes
    H2OFeatureMOJOModel → Transformer
  238. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  240. val transform: NullableStringParam

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    protected
  241. def transformSchema(schema: StructType): StructType

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    Definition Classes
    H2OFeatureEstimatorBase → PipelineStage
  242. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  243. val uid: String

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    Definition Classes
    H2OGLRMMOJOModel → Identifiable
  244. 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
  245. val updates: IntParam

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    Attributes
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  246. def validate(schema: StructType): Unit

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    Attributes
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    Definition Classes
    H2OGLRMExtraParamsH2ODimReductionExtraParamsH2OFeatureEstimatorBase
  247. final val validationMetrics: MapStringDoubleParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  248. final val validationMetricsObject: NullableMetricsParam

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

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  252. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from H2OGLRMMOJOBase

Inherited from H2OGLRMExtraParams

Inherited from H2ODimReductionMOJOModel

Inherited from HasInputColsOnMOJO

Inherited from HasOutputCol

Inherited from H2OFeatureMOJOModel

Inherited from H2OFeatureEstimatorBase

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