Class/Object

ai.h2o.sparkling.ml.models

H2OPCAMOJOModel

Related Docs: object H2OPCAMOJOModel | package models

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class H2OPCAMOJOModel extends H2OFeatureMOJOModel with H2ODimReductionMOJOModel with ParameterConstructorMethods with Logging with HasIgnoredColsOnMOJO

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Inherited
  1. H2OPCAMOJOModel
  2. HasIgnoredColsOnMOJO
  3. H2ODimReductionMOJOModel
  4. H2ODimReductionExtraParams
  5. HasInputColsOnMOJO
  6. ParameterConstructorMethods
  7. HasOutputCol
  8. H2OFeatureMOJOModel
  9. H2OFeatureEstimatorBase
  10. H2OMOJOModel
  11. HasFeatureTypesOnMOJO
  12. H2OBaseMOJOParams
  13. HasDataFrameSerializer
  14. SpecificMOJOParameters
  15. H2OMOJOModelUtils
  16. Logging
  17. H2OMOJOWritable
  18. MLWritable
  19. HasMojo
  20. H2OMOJOFlattenedInput
  21. Model
  22. Transformer
  23. PipelineStage
  24. Logging
  25. Params
  26. Serializable
  27. Serializable
  28. Identifiable
  29. AnyRef
  30. Any
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Visibility
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Instance Constructors

  1. new H2OPCAMOJOModel(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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  8. def booleanParam(name: String, doc: String): BooleanParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  9. final def clear(param: Param[_]): H2OPCAMOJOModel.this.type

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    Definition Classes
    Params
  10. def clone(): AnyRef

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  12. val computeMetrics: BooleanParam

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    Attributes
    protected
  13. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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    Attributes
    protected
    Definition Classes
    H2ODimReductionExtraParams
  17. def copyValues[T <: Params](to: T, extra: ParamMap): T

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

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

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

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

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    Attributes
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    Definition Classes
    H2OMOJOModel
  22. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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

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

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    Attributes
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    Definition Classes
    Params
  25. final val defaultThreshold: DoubleParam

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

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

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    Definition Classes
    ParameterConstructorMethods
  28. val eigenvectors: NullableDataFrameParam

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    protected
  29. final val endTime: LongParam

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

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

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

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    Definition Classes
    Params
  33. def explainParams(): String

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    Definition Classes
    Params
  34. val exportCheckpointsDir: NullableStringParam

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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    ParameterConstructorMethods
  53. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  54. final def getClass(): Class[_]

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    Definition Classes
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  55. def getCoefficients(): DataFrame

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    Definition Classes
    H2OMOJOModel
  56. def getComputeMetrics(): Boolean

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  57. def getConvertInvalidNumbersToNa(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
  58. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
  59. 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
  60. def getCrossValidationMetricsObject(): H2OPCAMetrics

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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
    H2OPCAMOJOModelH2OMOJOModel
  61. 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
  62. def getCrossValidationModels(): Seq[H2OPCAMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  64. 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
  65. 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
  66. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  68. def getDefaultThreshold(): Double

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

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    Definition Classes
    H2OMOJOModel
  70. def getEigenvectors(): DataFrame

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  71. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  72. def getExportCheckpointsDir(): String

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  73. def getFeatureImportances(): DataFrame

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

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    Definition Classes
    HasFeatureTypesOnMOJO
  75. def getIgnoreConstCols(): Boolean

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  76. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  77. def getImportance(): DataFrame

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  78. def getImputeMissing(): Boolean

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  79. def getInputCols(): Array[String]

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    Definition Classes
    HasInputColsOnMOJO
  80. def getK(): Int

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  81. def getMaxIterations(): Int

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  82. def getMaxRuntimeSecs(): Double

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  83. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  84. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOModel
  88. def getObjective(): Double

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

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    Definition Classes
    Params
  90. def getOutputCol(): String

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

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    Definition Classes
    Params
  92. def getPcaImpl(): String

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  93. def getPcaMethod(): String

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

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    Attributes
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    Definition Classes
    H2OMOJOFlattenedInput
  95. def getRunTime(): Long

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    Definition Classes
    H2OMOJOModel
  96. def getScoreEachIteration(): Boolean

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  97. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  98. def getSeed(): Long

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  99. def getStartTime(): Long

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    Definition Classes
    H2OMOJOModel
  100. 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
  101. def getTrainingMetricsObject(): H2OPCAMetrics

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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
    H2OPCAMOJOModelH2OMOJOModel
  102. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  103. def getTransform(): String

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  104. def getUseAllFactorLevels(): Boolean

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  105. 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
  106. def getValidationMetricsObject(): H2OPCAMetrics

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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
    H2OPCAMOJOModelH2OMOJOModel
  107. final def hasDefault[T](param: Param[T]): Boolean

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    Params
  108. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params
  109. def hasParent: Boolean

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    Definition Classes
    Model
  110. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  111. val ignoreConstCols: BooleanParam

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    Attributes
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  112. val importance: NullableDataFrameParam

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  113. val imputeMissing: BooleanParam

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  114. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  115. val inputCols: NullableStringArrayParam

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

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

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

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

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

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

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  122. def isTraceEnabled(): Boolean

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

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

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    H2OMOJOModelUtils
  125. val k: IntParam

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  126. def log: Logger

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

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    Attributes
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    Logging
  128. def logDebug(msg: ⇒ String): Unit

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

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

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

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

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    Logging
  133. def logName: String

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

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

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

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

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

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  139. val maxIterations: IntParam

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  140. val maxRuntimeSecs: DoubleParam

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  141. final val modelCategory: NullableStringParam

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    H2OMOJOModel
  142. final val modelDetails: NullableStringParam

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    H2OMOJOModel
  143. final val modelSummary: NullableDataFrameParam

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    H2OMOJOModel
  144. def mojoUDF: UserDefinedFunction

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    H2ODimReductionMOJOModelH2OFeatureMOJOModel
  145. final def ne(arg0: AnyRef): Boolean

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

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    Attributes
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    Definition Classes
    H2OMOJOModelUtils
  147. val nonSerializableField: AnyRef

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

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  149. final def notifyAll(): Unit

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    AnyRef
  150. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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

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

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

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

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

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

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

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

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  159. val objective: DoubleParam

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  160. def outputColumnName: String

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

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    Definition Classes
    H2ODimReductionExtraParamsH2OFeatureEstimatorBase
  162. def param[T](name: String, doc: String): Param[T]

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

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

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    Definition Classes
    Model
  165. val pcaImpl: NullableStringParam

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  166. val pcaMethod: NullableStringParam

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  167. def reconstructedEnabled: Boolean

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    H2ODimReductionMOJOModel
  168. final val runTime: LongParam

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

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

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  171. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  172. val seed: LongParam

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  173. final def set(paramPair: ParamPair[_]): H2OPCAMOJOModel.this.type

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  174. final def set(param: String, value: Any): H2OPCAMOJOModel.this.type

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  175. final def set[T](param: Param[T], value: T): H2OPCAMOJOModel.this.type

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    Definition Classes
    Params
  176. def setDataFrameSerializer(fullClassName: String): H2OPCAMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  177. final def setDefault(paramPairs: ParamPair[_]*): H2OPCAMOJOModel.this.type

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  178. final def setDefault[T](param: Param[T], value: T): H2OPCAMOJOModel.this.type

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    Attributes
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    Definition Classes
    Params
  179. def setMojo(mojo: File): H2OPCAMOJOModel.this.type

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    Definition Classes
    HasMojo
  180. def setMojo(mojo: InputStream, mojoName: String): H2OPCAMOJOModel.this.type

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    Definition Classes
    HasMojo
  181. def setMojo(mojo: InputStream): H2OPCAMOJOModel.this.type

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    Definition Classes
    HasMojo
  182. def setOutputCol(name: String): H2OPCAMOJOModel.this.type

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

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    Definition Classes
    Model
  184. final val startTime: LongParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  185. def stringArrayParam(name: String, doc: String): StringArrayParam

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

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

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    Definition Classes
    AnyRef
  188. def toString(): String

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

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

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

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

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

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

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

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    Attributes
    protected
  196. def transformSchema(schema: StructType): StructType

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

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

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    Definition Classes
    H2OPCAMOJOModel → Identifiable
  199. 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
  200. val useAllFactorLevels: BooleanParam

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    Attributes
    protected
  201. def validate(schema: StructType): Unit

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    Attributes
    protected
    Definition Classes
    H2ODimReductionExtraParamsH2OFeatureEstimatorBase
  202. final val validationMetrics: MapStringDoubleParam

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

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

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

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

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

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from HasIgnoredColsOnMOJO

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