org.apache.spark.ml.odkl.CombinedModel

DirectPredictionModel

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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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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Abstract Value Members

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

    Definition Classes
    Model → Transformer → PipelineStage → Params

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

    Attributes
    protected
    Definition Classes
    DirectPredictionModel → PredictionModel

  3. abstract val uid: String

    Definition Classes
    Identifiable

Concrete Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def $[T](param: Param[T]): T

    Attributes
    protected
    Definition Classes
    Params

  5. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  6. final def ==(arg0: Any): Boolean

    Definition Classes
    Any

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. final def clear(param: Param[_]): DirectPredictionModel.this.type

    Definition Classes
    Params

  9. def clone(): AnyRef

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

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    returns

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

    Definition Classes
    DirectPredictionModel → HasDirectTransformOption

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

    Definition Classes
    AnyRef

  14. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

  16. def explainParams(): String

    Definition Classes
    Params

  17. final def extractParamMap(): ParamMap

    Definition Classes
    Params

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

    Definition Classes
    Params

  19. final val featuresCol: Param[String]

    Definition Classes
    HasFeaturesCol

  20. def featuresDataType: DataType

    Attributes
    protected
    Definition Classes
    PredictionModel

  21. def finalize(): Unit

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

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

    Definition Classes
    Params

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

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

  25. final def getFeaturesCol: String

    Definition Classes
    HasFeaturesCol

  26. final def getLabelCol: String

    Definition Classes
    HasLabelCol

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

    Definition Classes
    Params

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

    Definition Classes
    Params

  29. final def getPredictionCol: String

    Definition Classes
    HasPredictionCol

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

    Definition Classes
    Params

  31. def hasParam(paramName: String): Boolean

    Definition Classes
    Params

  32. def hasParent: Boolean

    Definition Classes
    Model

  33. def hashCode(): Int

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

  35. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    Params

  37. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  38. final val labelCol: Param[String]

    Definition Classes
    HasLabelCol

  39. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  46. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Definition Classes
    AnyRef

  52. final def notify(): Unit

    Definition Classes
    AnyRef

  53. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  54. def numFeatures: Int

    Definition Classes
    PredictionModel
    Annotations
    @Since( "1.6.0" )

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

    Definition Classes
    Params

  56. var parent: Estimator[M]

    Definition Classes
    Model

  57. def predictDirect(features: Any): Double

  58. final val predictionCol: Param[String]

    Definition Classes
    HasPredictionCol

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

  64. def setFeaturesCol(value: String): M

    Definition Classes
    PredictionModel

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

    Definition Classes
    Model

  66. def setPredictionCol(value: String): M

    Definition Classes
    PredictionModel

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

    Definition Classes
    AnyRef

  68. def toString(): String

    Definition Classes
    Identifiable → AnyRef → Any

  69. def transform(dataset: DataFrame): DataFrame

    Definition Classes
    PredictionModel → Transformer

  70. def transform(dataset: DataFrame, paramMap: ParamMap): DataFrame

    Definition Classes
    Transformer

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

    Definition Classes
    Transformer
    Annotations
    @varargs()

  72. def transformImpl(dataset: DataFrame): DataFrame

    Attributes
    protected
    Definition Classes
    PredictionModel

  73. def transformSchema(schema: StructType): StructType

    Definition Classes
    PredictionModel → PipelineStage

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

    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

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

    Attributes
    protected
    Definition Classes
    PredictorParams

  76. def validateParams(): Unit

    Definition Classes
    Params

  77. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    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