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, H2OMOJOModelBase[org.apache.spark.ml.h2o.models.H2OMOJOModel], HasMojoData, MLWritable, H2OMOJOModelParams, 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. H2OMOJOModelBase
  4. HasMojoData
  5. MLWritable
  6. H2OMOJOModelParams
  7. Model
  8. Transformer
  9. PipelineStage
  10. Logging
  11. Params
  12. Serializable
  13. Serializable
  14. Identifiable
  15. AnyRef
  16. Any
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Visibility
  1. Public
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Instance Constructors

  1. new H2OMOJOModel(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 BinomialPredictionExtended(p0: Double, p1: Double, p0_calibrated: Double, p1_calibrated: Double) extends Product with Serializable

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    Definition Classes
    H2OMOJOModel

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

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    Definition Classes
    H2OMOJOModel

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

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    Definition Classes
    H2OMOJOModel

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

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    Definition Classes
    H2OMOJOModel

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

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    Definition Classes
    H2OMOJOModel

  9. 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
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    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. final val convertInvalidNumbersToNa: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelParams

  9. final val convertUnknownCategoricalLevelsToNa: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelParams

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

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    Definition Classes
    H2OMOJOModel → Model → Transformer → PipelineStage → Params

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

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    Attributes
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    Params

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

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    Attributes
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    Params

  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. final val featuresCols: StringArrayParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelParams

  20. def finalize(): Unit

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

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

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    Definition Classes
    Params

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

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    Definition Classes
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  23. def getConvertInvalidNumbersToNa(): Boolean

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    Definition Classes
    H2OMOJOModelParams

  24. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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    Definition Classes
    H2OMOJOModelParams

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

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    Definition Classes
    Params

  26. def getFeaturesCols(): Array[String]

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    Definition Classes
    H2OMOJOModelParams

  27. def getModelDetails(): String

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    Definition Classes
    H2OMOJOModelParams

  28. def getMojoData(): Array[Byte]

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    Attributes
    protected
    Definition Classes
    HasMojoData

  29. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OMOJOModelParams

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  32. def getPredictionCol(): String

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    Definition Classes
    H2OMOJOModelParams

  33. def getPredictionSchema(): Seq[StructField]

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel → H2OMOJOModelBase

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

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    Definition Classes
    Params

  35. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  36. def hasParent: Boolean

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    Definition Classes
    Model

  37. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
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    Logging

  39. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Logging

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

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    Definition Classes
    Params

  41. final def isInstanceOf[T0]: Boolean

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

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    Definition Classes
    Params

  43. def isTraceEnabled(): Boolean

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    Attributes
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    Logging

  44. def log: Logger

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    Logging

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

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    Attributes
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    Logging

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

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    Attributes
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    Logging

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

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    Attributes
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    Logging

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

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    Logging

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

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    Attributes
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    Logging

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

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    Logging

  51. def logName: String

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    Logging

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

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    Logging

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

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    Logging

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

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    Attributes
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    Logging

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

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    Attributes
    protected
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    Logging

  56. final val modelDetails: NullableStringParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelParams

  57. final val namedMojoOutputColumns: Param[Boolean]

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelParams

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

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    Definition Classes
    AnyRef

  59. final def notify(): Unit

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    Definition Classes
    AnyRef

  60. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    Params

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

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    Definition Classes
    Model

  63. final val predictionCol: Param[String]

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelParams

  64. def save(path: String): Unit

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

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

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    Attributes
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    Params

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

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    Attributes
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    Params

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

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    Definition Classes
    Params

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

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    Definition Classes
    H2OMOJOModelParams
    Annotations
    @DeprecatedMethod( ... )

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

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    Attributes
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    Params

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

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    Attributes
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    Params

  71. def setMojoData(mojoData: Array[Byte]): Unit

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    Definition Classes
    HasMojoData

  72. def setNamedMojoOutputColumns(value: Boolean): H2OMOJOModel.this.type

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    Definition Classes
    H2OMOJOModelParams
    Annotations
    @DeprecatedMethod( ... )

  73. 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

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

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    Definition Classes
    AnyRef

  75. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

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

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    Definition Classes
    H2OMOJOModel → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  79. def transformSchema(schema: StructType): StructType

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    Definition Classes
    H2OMOJOModelBase → PipelineStage
    Annotations
    @DeveloperApi()

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  81. val uid: String

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    Definition Classes
    H2OMOJOModel → H2OMOJOModel → Identifiable

  82. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
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    Annotations
    @throws( ... )

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

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    AnyRef
    Annotations
    @throws( ... )

  85. def write: MLWriter

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    Definition Classes
    H2OMOJOModelBase → MLWritable

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

Inherited from H2OMOJOModelBase[org.apache.spark.ml.h2o.models.H2OMOJOModel]

Inherited from HasMojoData

Inherited from MLWritable

Inherited from H2OMOJOModelParams

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

Ungrouped