org.apache.spark.ml.odkl

LinearEstimator

abstract class LinearEstimator[M <: LinearModel[M], T <: LinearEstimator[M, T]] extends Predictor[Vector, T, M] with SummarizableEstimator[M] with LinearModelParams with HasWeights

Linear Supertypes
HasWeights, LinearModelParams, SummarizableEstimator[M], Predictor[Vector, T, M], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Estimator[M], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
LinearRegressionSGD, LinearRegressor, LogisticRegressionLBFSG
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. LinearEstimator
  2. HasWeights
  3. LinearModelParams
  4. SummarizableEstimator
  5. Predictor
  6. PredictorParams
  7. HasPredictionCol
  8. HasFeaturesCol
  9. HasLabelCol
  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 LinearEstimator()

Abstract Value Members

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

    Definition Classes
    LinearEstimator → SummarizableEstimator → Predictor → Estimator → PipelineStage → Params

  2. abstract def train(dataset: DataFrame): M

    Attributes
    protected
    Definition Classes
    Predictor

  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[_]): LinearEstimator.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. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

  15. def explainParams(): String

    Definition Classes
    Params

  16. def extractLabeledPoints(dataset: DataFrame): RDD[LabeledPoint]

    Attributes
    protected
    Definition Classes
    Predictor

  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 finalize(): Unit

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

  21. def fit(dataset: DataFrame): M

    Definition Classes
    Predictor → Estimator

  22. def fit(dataset: DataFrame, paramMaps: Array[ParamMap]): Seq[M]

    Definition Classes
    Estimator

  23. def fit(dataset: DataFrame, paramMap: ParamMap): M

    Definition Classes
    Estimator

  24. def fit(dataset: DataFrame, firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): M

    Definition Classes
    Estimator
    Annotations
    @varargs()

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

    Definition Classes
    Params

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

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

  28. final def getFeaturesCol: String

    Definition Classes
    HasFeaturesCol

  29. final def getLabelCol: String

    Definition Classes
    HasLabelCol

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

    Definition Classes
    Params

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

    Definition Classes
    Params

  32. final def getPredictionCol: String

    Definition Classes
    HasPredictionCol

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

    Definition Classes
    Params

  34. def hasParam(paramName: String): Boolean

    Definition Classes
    Params

  35. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  36. val index: String

    Definition Classes
    HasWeights

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

    Definition Classes
    Params

  38. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    Params

  40. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  41. final val labelCol: Param[String]

    Definition Classes
    HasLabelCol

  42. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  49. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  54. val name: String

    Definition Classes
    HasWeights

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

    Definition Classes
    AnyRef

  56. final def notify(): Unit

    Definition Classes
    AnyRef

  57. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    Params

  59. final val predictionCol: Param[String]

    Definition Classes
    HasPredictionCol

  60. final def set(paramPair: ParamPair[_]): LinearEstimator.this.type

    Attributes
    protected
    Definition Classes
    Params

  61. final def set(param: String, value: Any): LinearEstimator.this.type

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    Params

  63. final def setDefault(paramPairs: ParamPair[_]*): LinearEstimator.this.type

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

  65. def setFeaturesCol(value: String): T

    Definition Classes
    Predictor

  66. def setLabelCol(value: String): T

    Definition Classes
    Predictor

  67. def setPredictionCol(value: String): T

    Definition Classes
    Predictor

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

    Definition Classes
    AnyRef

  69. def toString(): String

    Definition Classes
    Identifiable → AnyRef → Any

  70. def transformSchema(schema: StructType): StructType

    Definition Classes
    Predictor → PipelineStage

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

    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

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

    Attributes
    protected
    Definition Classes
    PredictorParams

  73. def validateParams(): Unit

    Definition Classes
    Params

  74. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  77. val weight: String

    Definition Classes
    HasWeights

  78. val weights: Block

    Definition Classes
    HasWeights

Inherited from HasWeights

Inherited from LinearModelParams

Inherited from SummarizableEstimator[M]

Inherited from Predictor[Vector, T, M]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Estimator[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