Class

ai.h2o.sparkling.ml.models

H2OAlgorithmMOJOModel

Related Doc: package models

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class H2OAlgorithmMOJOModel extends H2OMOJOModel with H2OMOJOPrediction with H2OAlgorithmMOJOParams

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Inherited
  1. H2OAlgorithmMOJOModel
  2. H2OAlgorithmMOJOParams
  3. H2OMOJOPrediction
  4. H2OMOJOPredictionOrdinal
  5. H2OMOJOPredictionCoxPH
  6. H2OMOJOPredictionBinomial
  7. H2OMOJOPredictionClustering
  8. H2OMOJOPredictionDimReduction
  9. H2OMOJOPredictionMultinomial
  10. PredictionWithStageProbabilities
  11. H2OMOJOPredictionAnomaly
  12. H2OMOJOPredictionWordEmbedding
  13. H2OMOJOPredictionRegression
  14. PredictionWithContributions
  15. H2OMOJOModel
  16. HasFeatureTypesOnMOJO
  17. H2OBaseMOJOParams
  18. HasDataFrameSerializer
  19. SpecificMOJOParameters
  20. H2OMOJOModelUtils
  21. Logging
  22. H2OMOJOWritable
  23. MLWritable
  24. HasMojo
  25. H2OMOJOFlattenedInput
  26. Model
  27. Transformer
  28. PipelineStage
  29. Logging
  30. Params
  31. Serializable
  32. Serializable
  33. Identifiable
  34. AnyRef
  35. Any
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Instance Constructors

  1. new H2OAlgorithmMOJOModel(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. final def clear(param: Param[_]): H2OAlgorithmMOJOModel.this.type

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    Definition Classes
    Params
  9. def clone(): AnyRef

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

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

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  19. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  24. final val endTime: LongParam

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

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

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

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    Definition Classes
    Params
  28. def explainParams(): String

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    Definition Classes
    Params
  29. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  30. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  31. def extractClusteringPredictionColContent(): Column

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

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

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

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

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  36. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  45. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  50. def extractRegressionPredictionColContent(): Column

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

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

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  53. final val featureImportances: NullableDataFrameParam

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

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

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

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  57. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  58. def getAnomalyPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionAnomaly
  59. def getAnomalyPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  61. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  62. def getBinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  64. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  65. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  66. def getClusteringPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionClustering
  68. def getCoefficients(): DataFrame

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    Definition Classes
    H2OMOJOModel
  69. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  71. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  73. def getCoxPHPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  75. 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
  76. def getCrossValidationMetricsObject(): H2OMetrics

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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
    H2OMOJOModel
  77. 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
  78. def getCrossValidationModels(): Seq[H2OAlgorithmMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  80. 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
  81. 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
  82. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  84. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  85. def getDetailedPredictionCol(): String

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

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

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  88. def getDimReductionPredictionSchema(): StructType

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

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

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    Definition Classes
    H2OMOJOModel
  91. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  92. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  95. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  96. def getModelDetails(): String

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  101. def getMultinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  103. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
    Annotations
    @DeprecatedMethod( x$2 , x$1 )
  104. final def getOrDefault[T](param: Param[T]): T

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  106. def getOrdinalPredictionSchema(): StructType

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

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

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    Definition Classes
    Params
  109. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  111. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  112. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  113. def getRegressionPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionRegression
  114. def getRegressionPredictionSchema(): StructType

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOFlattenedInput
  117. def getRunTime(): Long

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    Definition Classes
    H2OMOJOModel
  118. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  119. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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    Attributes
    protected
    Definition Classes
    PredictionWithStageProbabilities
  120. def getStartTime(): Long

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    Definition Classes
    H2OMOJOModel
  121. 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
  122. def getTrainingMetricsObject(): H2OMetrics

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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
    H2OMOJOModel
  123. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  124. 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
  125. def getValidationMetricsObject(): H2OMetrics

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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
    H2OMOJOModel
  126. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  127. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  128. def getWithStageResults(): Boolean

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

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  130. def getWordEmbeddingPredictionSchema(): StructType

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

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

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

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    Definition Classes
    Params
  134. def hasParent: Boolean

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    Definition Classes
    Model
  135. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  136. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOModelH2OMOJOFlattenedInput
  139. final def isDefined(param: Param[_]): Boolean

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

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

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    Definition Classes
    Params
  142. def isTraceEnabled(): Boolean

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  145. def log: Logger

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

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

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

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    Definition Classes
    Logging
  149. def logError(msg: ⇒ String): Unit

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

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    Definition Classes
    Logging
  151. def logInfo(msg: ⇒ String): Unit

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    Logging
  152. def logName: String

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

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    Definition Classes
    Logging
  154. def logTrace(msg: ⇒ String): Unit

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

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    Definition Classes
    Logging
  156. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  157. final val modelCategory: NullableStringParam

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

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

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

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

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

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    Attributes
    protected
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    H2OMOJOModelUtils
  163. val nonSerializableField: AnyRef

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  167. def outputColumnName: String

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOModelH2OMOJOFlattenedInput
  168. lazy val params: Array[Param[_]]

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  171. final val runTime: LongParam

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

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  173. final val scoringHistory: NullableDataFrameParam

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    Attributes
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    H2OMOJOModel
  174. final def set(paramPair: ParamPair[_]): H2OAlgorithmMOJOModel.this.type

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    Attributes
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    Params
  175. final def set(param: String, value: Any): H2OAlgorithmMOJOModel.this.type

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    Attributes
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    Params
  176. final def set[T](param: Param[T], value: T): H2OAlgorithmMOJOModel.this.type

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    Definition Classes
    Params
  177. def setDataFrameSerializer(fullClassName: String): H2OAlgorithmMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  178. final def setDefault(paramPairs: ParamPair[_]*): H2OAlgorithmMOJOModel.this.type

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    Attributes
    protected
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    Params
  179. final def setDefault[T](param: Param[T], value: T): H2OAlgorithmMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  180. def setMojo(mojo: File): H2OAlgorithmMOJOModel.this.type

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    Definition Classes
    HasMojo
  181. def setMojo(mojo: InputStream, mojoName: String): H2OAlgorithmMOJOModel.this.type

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    Definition Classes
    HasMojo
  182. def setMojo(mojo: InputStream): H2OAlgorithmMOJOModel.this.type

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    Definition Classes
    HasMojo
  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
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    H2OMOJOModel
  185. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  186. def toString(): String

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

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    Attributes
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    H2OMOJOModel
  188. final val trainingMetricsObject: NullableMetricsParam

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    Attributes
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    H2OMOJOModel
  189. final val trainingParams: MapStringStringParam

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    H2OMOJOModel
  190. def transform(dataset: Dataset[_]): DataFrame

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

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

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

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    Definition Classes
    H2OAlgorithmMOJOModel → PipelineStage
    Annotations
    @DeveloperApi()
  194. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
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    PipelineStage
    Annotations
    @DeveloperApi()
  195. val uid: String

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    Definition Classes
    H2OAlgorithmMOJOModel → Identifiable
  196. 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
  197. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  198. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  199. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  202. final val withContributions: BooleanParam

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

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

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    Attributes
    protected
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    H2OAlgorithmMOJOParams
  205. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

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