Trait

org.apache.spark.ml.odkl.CombinedModel

DirectPredictionModel

Related Doc: package CombinedModel

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trait DirectPredictionModel[I, M <: DirectPredictionModel[I, M]] extends PredictionModel[I, M] with HasDirectTransformOption

Direct prediction model is an extension to a model with an ability to predict for single point instead of transforming dataset. Used to improve performance of the combined models.

I

Type of the model input

Linear Supertypes
HasDirectTransformOption, PredictionModel[I, M], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Model[M], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
LinearModel, LinearRegressionModel, LogisticRegressionModel
Ordering
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  2. By Inheritance
Inherited
  1. DirectPredictionModel
  2. HasDirectTransformOption
  3. PredictionModel
  4. PredictorParams
  5. HasPredictionCol
  6. HasFeaturesCol
  7. HasLabelCol
  8. Model
  9. Transformer
  10. PipelineStage
  11. Logging
  12. Params
  13. Serializable
  14. Serializable
  15. Identifiable
  16. AnyRef
  17. Any
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Visibility
  1. Public
  2. All

Abstract Value Members

  1. abstract def copy(extra: ParamMap): M

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    Definition Classes
    Model → Transformer → PipelineStage → Params

  2. abstract def predict(features: I): Double

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    Attributes
    protected
    Definition Classes
    DirectPredictionModel → PredictionModel

  3. abstract val uid: String

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    Definition Classes
    Identifiable

Concrete 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[_]): DirectPredictionModel.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 copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  10. def directTransform(data: DataFrame): Option[Column]

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    returns

    If possible, try to evaluate prediction directly, overwise revert to chain of transformations.

    Definition Classes
    DirectPredictionModel → HasDirectTransformOption

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

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    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  14. def explainParams(): String

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    Definition Classes
    Params

  15. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  17. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  18. def featuresDataType: DataType

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    Attributes
    protected
    Definition Classes
    PredictionModel

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

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    Definition Classes
    Params

  23. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  24. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  27. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

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

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    Definition Classes
    Params

  29. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  30. def hasParent: Boolean

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    Definition Classes
    Model

  31. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  32. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Params

  34. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  36. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  37. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  38. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  45. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    AnyRef

  51. final def notify(): Unit

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    Definition Classes
    AnyRef

  52. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  53. def numFeatures: Int

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    Definition Classes
    PredictionModel
    Annotations
    @Since( "1.6.0" )

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

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    Definition Classes
    Params

  55. var parent: Estimator[M]

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    Definition Classes
    Model

  56. def predictDirect(features: Any): Double

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  57. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

  61. final def setDefault(paramPairs: ParamPair[_]*): DirectPredictionModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  63. def setFeaturesCol(value: String): M

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    Definition Classes
    PredictionModel

  64. def setParent(parent: Estimator[M]): M

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    Definition Classes
    Model

  65. def setPredictionCol(value: String): M

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    Definition Classes
    PredictionModel

  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
    PredictionModel → 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 transformImpl(dataset: Dataset[_]): DataFrame

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    Attributes
    protected
    Definition Classes
    PredictionModel

  72. def transformSchema(schema: StructType): StructType

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    Definition Classes
    PredictionModel → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  74. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType

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    Attributes
    protected
    Definition Classes
    PredictorParams

  75. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from HasDirectTransformOption

Inherited from PredictionModel[I, M]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Model[M]

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