Class

org.apache.spark.ml.odkl.CombinedModel

LinearCombinationModelLearner

Related Doc: package CombinedModel

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class LinearCombinationModelLearner[M <: ModelWithSummary[M]] extends PerClassModelLearner[M, LinearCombinationModel[M]]

Trains a model which predicts a scalar of weighted classes or a vector which is a generalized linear combination of per-class predictions

Linear Supertypes
PerClassModelLearner[M, LinearCombinationModel[M]], HasPredictionCol, HasLabelCol, HasClassesWeights, HasClassesCol, ForkedEstimator[M, String, LinearCombinationModel[M]], ForkedModelParams, SummarizableEstimator[LinearCombinationModel[M]], Estimator[LinearCombinationModel[M]], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. LinearCombinationModelLearner
  2. PerClassModelLearner
  3. HasPredictionCol
  4. HasLabelCol
  5. HasClassesWeights
  6. HasClassesCol
  7. ForkedEstimator
  8. ForkedModelParams
  9. SummarizableEstimator
  10. Estimator
  11. PipelineStage
  12. Logging
  13. Params
  14. Serializable
  15. Serializable
  16. Identifiable
  17. AnyRef
  18. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new LinearCombinationModelLearner(nested: SummarizableEstimator[M])

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  2. new LinearCombinationModelLearner(nested: SummarizableEstimator[M], 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 cacheForks: Param[Boolean]

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    Definition Classes
    ForkedEstimator

  7. final val classesColumn: Param[String]

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    Definition Classes
    HasClassesCol

  8. final val classesMap: JacksonParam[Map[String, String]]

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    Definition Classes
    PerClassModelLearner

  9. final val classesToIgnore: JacksonParam[Set[String]]

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    Definition Classes
    PerClassModelLearner

  10. final val classesWeights: JacksonParam[Map[String, Double]]

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    Definition Classes
    HasClassesWeights

  11. final def clear(param: Param[_]): LinearCombinationModelLearner.this.type

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    Definition Classes
    Params

  12. def clone(): AnyRef

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

  13. def copy(extra: ParamMap): SummarizableEstimator[LinearCombinationModel[M]]

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    Definition Classes
    LinearCombinationModelLearner → SummarizableEstimator → Estimator → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

  15. def createForks(dataset: Dataset[_]): Seq[(String, DataFrame)]

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    Override this method and create forks to train from the data.

    Override this method and create forks to train from the data.

    Attributes
    protected
    Definition Classes
    PerClassModelLearner → ForkedEstimator

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef

  18. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  20. def explainParams(): String

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    Definition Classes
    Params

  21. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  23. def finalize(): Unit

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

  24. def fit(dataset: Dataset[_]): LinearCombinationModel[M]

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    Definition Classes
    ForkedEstimator → Estimator

  25. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[LinearCombinationModel[M]]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  26. def fit(dataset: Dataset[_], paramMap: ParamMap): LinearCombinationModel[M]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  27. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): LinearCombinationModel[M]

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

  28. def fitFork(estimator: SummarizableEstimator[M], wholeData: Dataset[_], partialData: (String, DataFrame)): (String, M)

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    Definition Classes
    ForkedEstimator

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

  31. def getClassesWeights: Map[String, Double]

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    Definition Classes
    HasClassesWeights

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

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    Definition Classes
    Params

  33. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  36. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

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

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    Definition Classes
    Params

  38. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  39. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  40. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Params

  42. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  44. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  45. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  46. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  53. def logName: String

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    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    ForkedModelParams

  59. def mergeModels(sqlContext: SQLContext, models: Seq[(String, M)]): LinearCombinationModel[M]

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    Given models trained for each fork create a combined model.

    Given models trained for each fork create a combined model. This model is the result of the estimator.

    Attributes
    protected
    Definition Classes
    LinearCombinationModelLearner → ForkedEstimator

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

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    Definition Classes
    AnyRef

  61. val nested: SummarizableEstimator[M]

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    Nested estimator to call for each fork.

    Nested estimator to call for each fork.

    Definition Classes
    ForkedEstimator

  62. final def notify(): Unit

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    Definition Classes
    AnyRef

  63. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    Params

  65. final val pathForTempModels: Param[String]

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    Definition Classes
    ForkedEstimator

  66. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  67. final val propagatedKeyColumn: Param[String]

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    Definition Classes
    ForkedModelParams

  68. final def set(paramPair: ParamPair[_]): LinearCombinationModelLearner.this.type

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    Attributes
    protected
    Definition Classes
    Params

  69. final def set(param: String, value: Any): LinearCombinationModelLearner.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

  71. def setCacheForks(value: Boolean): LinearCombinationModelLearner.this.type

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    Definition Classes
    ForkedEstimator

  72. def setClassesColumn(value: String): LinearCombinationModelLearner.this.type

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    Definition Classes
    HasClassesCol

  73. def setClassesMap(values: (String, String)*): LinearCombinationModelLearner.this.type

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    Definition Classes
    PerClassModelLearner

  74. def setClassesToIgnore(values: String*): LinearCombinationModelLearner.this.type

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    Definition Classes
    PerClassModelLearner

  75. def setClassesWeights(weights: (String, Double)*): LinearCombinationModelLearner.this.type

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    Definition Classes
    HasClassesWeights

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  78. def setPathForTempModels(value: String): LinearCombinationModelLearner.this.type

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    Definition Classes
    ForkedEstimator

  79. def setPredictionCol(value: String): LinearCombinationModelLearner.this.type

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    Definition Classes
    PerClassModelLearner

  80. def setPropagatedKeyColumn(value: String): LinearCombinationModelLearner.this.type

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    Definition Classes
    ForkedModelParams

  81. def setTrainParallel(value: Boolean): LinearCombinationModelLearner.this.type

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    Definition Classes
    ForkedEstimator

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

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    Definition Classes
    AnyRef

  83. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  84. final val trainParallel: Param[Boolean]

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    Definition Classes
    ForkedEstimator

  85. def transformSchema(schema: StructType): StructType

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    Definition Classes
    ForkedEstimator → PipelineStage
    Annotations
    @DeveloperApi()

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  87. val uid: String

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    Definition Classes
    LinearCombinationModelLearner → PerClassModelLearner → ForkedEstimator → Identifiable

  88. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from PerClassModelLearner[M, LinearCombinationModel[M]]

Inherited from HasPredictionCol

Inherited from HasLabelCol

Inherited from HasClassesWeights

Inherited from HasClassesCol

Inherited from ForkedEstimator[M, String, LinearCombinationModel[M]]

Inherited from ForkedModelParams

Inherited from SummarizableEstimator[LinearCombinationModel[M]]

Inherited from Estimator[LinearCombinationModel[M]]

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