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, 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. HasMojoData
  4. MLWritable
  5. H2OMOJOModelParams
  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
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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
    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. var easyPredictModelWrapper: EasyPredictModelWrapper

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    Definition Classes
    H2OMOJOModel

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

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    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  15. def explainParams(): String

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    Definition Classes
    Params

  16. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  18. final val featuresCols: StringArrayParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelParams

  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
    H2OMOJOModelParams

  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
    H2OMOJOModelParams

  25. def getModelUdf(): UserDefinedFunction

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    Definition Classes
    H2OMOJOModel

  26. def getMojoData: Array[Byte]

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    Attributes
    protected
    Definition Classes
    HasMojoData

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  29. def getPredictionCol(): String

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    Definition Classes
    H2OMOJOModelParams

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

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    Definition Classes
    Params

  31. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  32. def hasParent: Boolean

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    Definition Classes
    Model

  33. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  34. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Params

  36. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  38. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  39. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  46. def logName: String

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    AnyRef

  52. final def notify(): Unit

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    Definition Classes
    AnyRef

  53. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    Params

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

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    Definition Classes
    Model

  56. def predictionSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOModel

  57. def save(path: String): Unit

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

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

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

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    Definition Classes
    H2OMOJOModelParams

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    HasMojoData

  65. 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

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

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    Definition Classes
    AnyRef

  67. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

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

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    Definition Classes
    H2OMOJOModel → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  71. def transformSchema(schema: StructType): StructType

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    Definition Classes
    H2OMOJOModel → PipelineStage
    Annotations
    @DeveloperApi()

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  73. val uid: String

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    Definition Classes
    H2OMOJOModel → H2OMOJOModel → Identifiable

  74. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  77. 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 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