Class/Object

py_sparkling.ml.models

H2OMOJOModel

Related Docs: object H2OMOJOModel | package models

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class H2OMOJOModel extends org.apache.spark.ml.h2o.models.H2OMOJOModel

Linear Supertypes
org.apache.spark.ml.h2o.models.H2OMOJOModel, MLWritable, H2OModelParams, DeprecatableParams, Model[org.apache.spark.ml.h2o.models.H2OMOJOModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. H2OMOJOModel
  2. H2OMOJOModel
  3. MLWritable
  4. H2OModelParams
  5. DeprecatableParams
  6. Model
  7. Transformer
  8. PipelineStage
  9. Logging
  10. Params
  11. Serializable
  12. Serializable
  13. Identifiable
  14. AnyRef
  15. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new H2OMOJOModel(mojoData: Array[Byte])

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  2. new H2OMOJOModel(mojoData: Array[Byte], uid: String)

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Type Members

  1. case class AnomalyPrediction(score: Double, normalizedScore: Double) extends Product with Serializable

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    Definition Classes
    H2OMOJOModel

  2. case class AutoEncoderPrediction(original: Array[Double], reconstructed: Array[Double]) extends Product with Serializable

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    Definition Classes
    H2OMOJOModel

  3. case class BinomialPrediction(p0: Double, p1: Double) extends Product with Serializable

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    Definition Classes
    H2OMOJOModel

  4. case class ClusteringPrediction(cluster: Integer) extends Product with Serializable

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    Definition Classes
    H2OMOJOModel

  5. case class DimReductionPrediction(dimensions: Array[Double]) extends Product with Serializable

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    Definition Classes
    H2OMOJOModel

  6. case class MultinomialPrediction(probabilities: Array[Double]) extends Product with Serializable

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    Definition Classes
    H2OMOJOModel

  7. case class RegressionPrediction(value: Double) extends Product with Serializable

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    Definition Classes
    H2OMOJOModel

  8. case class WordEmbeddingPrediction(wordEmbeddings: HashMap[String, Array[Float]]) extends Product with 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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. final def clear(param: Param[_]): H2OMOJOModel.this.type

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    Definition Classes
    Params

  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  8. def copy(extra: ParamMap): org.apache.spark.ml.h2o.models.H2OMOJOModel

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    Definition Classes
    H2OMOJOModel → Model → Transformer → PipelineStage → Params

  9. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  10. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  11. def defaultFileName: String

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    Definition Classes
    H2OMOJOModel

  12. var easyPredictModelWrapper: EasyPredictModelWrapper

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    Definition Classes
    H2OMOJOModel

  13. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  14. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  15. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  16. def explainParams(): String

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    Definition Classes
    Params

  17. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

  18. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params

  19. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

  22. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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    Definition Classes
    H2OModelParams

  23. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  24. def getFeaturesCols(): Array[String]

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    Definition Classes
    H2OModelParams

  25. def getLabelCol(): String

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    Definition Classes
    H2OModelParams

  26. def getModelUdf(): UserDefinedFunction

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    Definition Classes
    H2OMOJOModel

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

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    Definition Classes
    Params

  28. def getOutputCol(): String

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    Definition Classes
    H2OModelParams

  29. def getParam(paramName: String): Param[Any]

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    Definition Classes
    DeprecatableParams → Params

  30. def getPredictionsCol(): String

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    Definition Classes
    H2OModelParams
    Annotations
    @DeprecatedMethod( "getLabelCol" )

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

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    Definition Classes
    Params

  32. def hasParam(paramName: String): Boolean

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    Definition Classes
    DeprecatableParams → Params

  33. def hasParent: Boolean

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    Definition Classes
    Model

  34. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  35. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  36. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Params

  38. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  40. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  41. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  43. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  45. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  47. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  48. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  50. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  52. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  53. val mojoData: Array[Byte]

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    Definition Classes
    H2OMOJOModel → H2OMOJOModel

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

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    Definition Classes
    AnyRef

  55. final def notify(): Unit

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    Definition Classes
    AnyRef

  56. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    Params

  58. var parent: Estimator[org.apache.spark.ml.h2o.models.H2OMOJOModel]

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    Definition Classes
    Model

  59. def predictionSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOModel

  60. def renamingMap: Map[String, String]

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    When a parameter is renamed, the mapping 'old name' -> 'new name' should be added into this map.

    When a parameter is renamed, the mapping 'old name' -> 'new name' should be added into this map.

    Attributes
    protected
    Definition Classes
    H2OModelParams → DeprecatableParams

  61. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  62. final def set(paramPair: ParamPair[_]): H2OMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  63. final def set(param: String, value: Any): H2OMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  64. final def set[T](param: Param[T], value: T): H2OMOJOModel.this.type

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    Definition Classes
    Params

  65. def setConvertUnknownCategoricalLevelsToNa(value: Boolean): H2OMOJOModel.this.type

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    Definition Classes
    H2OModelParams

  66. final def setDefault(paramPairs: ParamPair[_]*): H2OMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  67. final def setDefault[T](param: Param[T], value: T): H2OMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  68. def setFeaturesCols(cols: Array[String]): H2OMOJOModel.this.type

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    Definition Classes
    H2OModelParams

  69. def setLabelCol(value: String): H2OMOJOModel.this.type

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    Definition Classes
    H2OModelParams

  70. def setOutputCol(value: String): H2OMOJOModel.this.type

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    Definition Classes
    H2OModelParams

  71. def setParent(parent: Estimator[org.apache.spark.ml.h2o.models.H2OMOJOModel]): org.apache.spark.ml.h2o.models.H2OMOJOModel

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    Definition Classes
    Model

  72. def setPredictionCol(value: String): H2OMOJOModel.this.type

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    Definition Classes
    H2OModelParams
    Annotations
    @DeprecatedMethod( "setLabelCol" )

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

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    Definition Classes
    AnyRef

  74. implicit def toAnomalyPrediction(pred: AbstractPrediction): AnomalyPrediction

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    Definition Classes
    H2OMOJOModel

  75. implicit def toAutoEncoderPrediction(pred: AbstractPrediction): AutoEncoderPrediction

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    Definition Classes
    H2OMOJOModel

  76. implicit def toBinomialPrediction(pred: AbstractPrediction): BinomialPrediction

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    Definition Classes
    H2OMOJOModel

  77. implicit def toClusteringPrediction(pred: AbstractPrediction): ClusteringPrediction

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    Definition Classes
    H2OMOJOModel

  78. implicit def toDimReductionPrediction(pred: AbstractPrediction): DimReductionPrediction

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    Definition Classes
    H2OMOJOModel

  79. implicit def toMultinomialPrediction(pred: AbstractPrediction): MultinomialPrediction

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    Definition Classes
    H2OMOJOModel

  80. implicit def toRegressionPrediction(pred: AbstractPrediction): RegressionPrediction

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    Definition Classes
    H2OMOJOModel

  81. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  82. implicit def toWordEmbeddingPrediction(pred: AbstractPrediction): WordEmbeddingPrediction

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    Definition Classes
    H2OMOJOModel

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

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    Definition Classes
    H2OMOJOModel → Transformer

  84. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

  85. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()

  86. def transformSchema(schema: StructType): StructType

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    Definition Classes
    H2OMOJOModel → PipelineStage
    Annotations
    @DeveloperApi()

  87. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  88. val uid: String

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    Definition Classes
    H2OMOJOModel → H2OMOJOModel → Identifiable

  89. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  90. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  91. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  92. def write: MLWriter

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    Definition Classes
    H2OMOJOModel → MLWritable
    Annotations
    @Since( "1.6.0" )

Inherited from org.apache.spark.ml.h2o.models.H2OMOJOModel

Inherited from MLWritable

Inherited from H2OModelParams

Inherited from DeprecatableParams

Inherited from Model[org.apache.spark.ml.h2o.models.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

getParam

setParam

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