Class

org.apache.spark.ml.odkl

LinearCombinationModel

Related Doc: package odkl

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class LinearCombinationModel[N <: ModelWithSummary[N]] extends MultiClassCombinationModelBase[N, LinearCombinationModel[N]]

Combination model which evaluates ALL nested model and combines results based on linear weights.

Linear Supertypes
MultiClassCombinationModelBase[N, LinearCombinationModel[N]], HasFeaturesCol, HasClassesCol, CombinedModel[N, LinearCombinationModel[N]], ForkedModelParams, HasPredictionCol, HasDirectTransformOption, HasDescriminantColumn, ModelWithSummary[LinearCombinationModel[N]], MLWritable, Model[LinearCombinationModel[N]], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. LinearCombinationModel
  2. MultiClassCombinationModelBase
  3. HasFeaturesCol
  4. HasClassesCol
  5. CombinedModel
  6. ForkedModelParams
  7. HasPredictionCol
  8. HasDirectTransformOption
  9. HasDescriminantColumn
  10. ModelWithSummary
  11. MLWritable
  12. Model
  13. Transformer
  14. PipelineStage
  15. Logging
  16. Params
  17. Serializable
  18. Serializable
  19. Identifiable
  20. AnyRef
  21. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new LinearCombinationModel(nested: Map[String, N])

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  2. new LinearCombinationModel(uid: String)

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  3. new LinearCombinationModel(nestedModels: Map[String, N], uid: String)

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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 val classes: StringArrayParam

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    Definition Classes
    MultiClassCombinationModelBase

  7. final val classesColumn: Param[String]

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    Definition Classes
    HasClassesCol

  8. val classesWeights: JacksonParam[Map[String, Double]]

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  9. final def clear(param: Param[_]): LinearCombinationModel.this.type

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    Definition Classes
    Params

  10. def clone(): AnyRef

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

  11. def copy(extra: ParamMap): LinearCombinationModel[N]

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    Definition Classes
    LinearCombinationModel → ModelWithSummary → Model → Transformer → PipelineStage → Params

  12. def copy(summary: ModelSummary, params: ParamMap): LinearCombinationModel[N]

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    Definition Classes
    ModelWithSummary

  13. def copy(blocks: Map[Block, DataFrame], params: ParamMap = ParamMap()): LinearCombinationModel[N]

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    Definition Classes
    ModelWithSummary

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

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    Attributes
    protected
    Definition Classes
    Params

  15. def create(): LinearCombinationModel[N]

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    Attributes
    protected
    Definition Classes
    CombinedModel → ModelWithSummary

  16. def createPredictionMetadata(): Metadata

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    Definition Classes
    LinearCombinationModel → MultiClassCombinationModelBase → CombinedModel

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

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    Attributes
    protected
    Definition Classes
    Params

  18. def descriminantColumn: Param[String]

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    Definition Classes
    MultiClassCombinationModelBase → HasDescriminantColumn

  19. 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
    LinearCombinationModel → MultiClassCombinationModelBase → HasDirectTransformOption

  20. def disableSaveSummary(): ModelWithSummary[LinearCombinationModel[N]]

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    Definition Classes
    ModelWithSummary

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

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    Definition Classes
    AnyRef

  22. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  23. def escalateBlocks(): Unit

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    Attributes
    protected
    Definition Classes
    CombinedModel

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

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    Definition Classes
    Params

  25. def explainParams(): String

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    Definition Classes
    Params

  26. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  28. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  29. def finalize(): Unit

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

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  33. def getDescriminantColumn: String

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    Definition Classes
    HasDescriminantColumn

  34. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  37. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

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

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    Definition Classes
    Params

  39. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  40. def hasParent: Boolean

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    Definition Classes
    Model

  41. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  42. def indirectTransform(dataset: DataFrame): DataFrame

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    In case if direct transformation is not possible, applies less efficientt indirect logic.

    In case if direct transformation is not possible, applies less efficientt indirect logic.

    Attributes
    protected
    Definition Classes
    LinearCombinationModel → MultiClassCombinationModelBase → CombinedModel

  43. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Params

  45. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  46. def isSaveSummaryEnabled: Boolean

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    Definition Classes
    ModelWithSummary

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

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    Definition Classes
    Params

  48. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  49. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  56. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  61. def mayBePropagateKey(data: DataFrame, key: Any): DataFrame

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    Attributes
    protected
    Definition Classes
    ForkedModelParams

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

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    Definition Classes
    AnyRef

  63. def nested: Map[String, N]

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    Definition Classes
    CombinedModel

  64. final def notify(): Unit

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    Definition Classes
    AnyRef

  65. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    Params

  67. var parent: Estimator[LinearCombinationModel[N]]

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    Definition Classes
    Model

  68. val predictCombinations: JacksonParam[Array[Map[String, Double]]]

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  69. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  70. final val propagatedKeyColumn: Param[String]

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    Definition Classes
    ForkedModelParams

  71. def save(path: String): Unit

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

  72. final def set(paramPair: ParamPair[_]): LinearCombinationModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  73. final def set(param: String, value: Any): LinearCombinationModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

  75. def setClassesColumn(value: String): LinearCombinationModel.this.type

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    Definition Classes
    HasClassesCol

  76. final def setDefault(paramPairs: ParamPair[_]*): LinearCombinationModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  78. def setParent(parent: Estimator[LinearCombinationModel[N]]): LinearCombinationModel[N]

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    Definition Classes
    Model

  79. def setPredictVector(value: Map[String, Double]*): LinearCombinationModel.this.type

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  80. def setPredictionCol(value: String): LinearCombinationModel.this.type

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    Definition Classes
    CombinedModel

  81. def setPropagatedKeyColumn(value: String): LinearCombinationModel.this.type

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    Definition Classes
    ForkedModelParams

  82. def summary: ModelSummary

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    Definition Classes
    ModelWithSummary

  83. val summaryParam: Param[ModelSummary]

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    Attributes
    protected
    Definition Classes
    ModelWithSummary

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

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    Definition Classes
    AnyRef

  85. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

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

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    Definition Classes
    CombinedModel → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  89. def transformSchema(schema: StructType): StructType

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    Definition Classes
    LinearCombinationModel → MultiClassCombinationModelBase → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  91. val uid: String

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    Definition Classes
    LinearCombinationModel → MultiClassCombinationModelBase → Identifiable

  92. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  95. def write: WithSummaryWriter[LinearCombinationModel[N]]

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    Definition Classes
    CombinedModel → ModelWithSummary → MLWritable
    Annotations
    @Since( "1.6.0" )

Inherited from MultiClassCombinationModelBase[N, LinearCombinationModel[N]]

Inherited from HasFeaturesCol

Inherited from HasClassesCol

Inherited from CombinedModel[N, LinearCombinationModel[N]]

Inherited from ForkedModelParams

Inherited from HasPredictionCol

Inherited from HasDirectTransformOption

Inherited from HasDescriminantColumn

Inherited from ModelWithSummary[LinearCombinationModel[N]]

Inherited from MLWritable

Inherited from Model[LinearCombinationModel[N]]

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