org.apache.spark.ml.odkl

LinearModel

abstract class LinearModel[M <: LinearModel[M]] extends PredictionModel[Vector, M] with DirectPredictionModel[Vector, M] with ModelWithSummary[M] with LinearModelParams with HasWeights

Linear Supertypes
HasWeights, LinearModelParams, ModelWithSummary[M], MLWritable, DirectPredictionModel[Vector, M], HasDirectTransformOption, PredictionModel[Vector, M], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Model[M], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
LinearRegressionModel, LogisticRegressionModel
Ordering
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Inherited
  1. LinearModel
  2. HasWeights
  3. LinearModelParams
  4. ModelWithSummary
  5. MLWritable
  6. DirectPredictionModel
  7. HasDirectTransformOption
  8. PredictionModel
  9. PredictorParams
  10. HasPredictionCol
  11. HasFeaturesCol
  12. HasLabelCol
  13. Model
  14. Transformer
  15. PipelineStage
  16. Logging
  17. Params
  18. Serializable
  19. Serializable
  20. Identifiable
  21. AnyRef
  22. Any
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  1. Public
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Instance Constructors

  1. new LinearModel()

Abstract Value Members

  1. abstract def create(): M

    Attributes
    protected
    Definition Classes
    ModelWithSummary

  2. abstract def postProcess(value: Double): Double

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[_]): LinearModel.this.type

    Definition Classes
    Params

  9. def clone(): AnyRef

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

  10. final val coefficients: Param[Vector]

  11. def copy(summary: ModelSummary, params: ParamMap): M

    Definition Classes
    ModelWithSummary

  12. def copy(blocks: Map[Block, DataFrame], params: ParamMap = ParamMap()): M

    Definition Classes
    ModelWithSummary

  13. def copy(extra: ParamMap): M

    Definition Classes
    ModelWithSummary → Model → Transformer → PipelineStage → Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    returns

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

    Definition Classes
    DirectPredictionModel → HasDirectTransformOption

  17. def disableSaveSummary(): ModelWithSummary[M]

    Definition Classes
    ModelWithSummary

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

    Definition Classes
    AnyRef

  19. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

  21. def explainParams(): String

    Definition Classes
    Params

  22. final def extractParamMap(): ParamMap

    Definition Classes
    Params

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

    Definition Classes
    Params

  24. final val featuresCol: Param[String]

    Definition Classes
    HasFeaturesCol

  25. def featuresDataType: DataType

    Attributes
    protected
    Definition Classes
    PredictionModel

  26. def finalize(): Unit

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

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

    Definition Classes
    Params

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

    Definition Classes
    AnyRef → Any

  29. def getCoefficients: Vector

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

    Definition Classes
    Params

  31. final def getFeaturesCol: String

    Definition Classes
    HasFeaturesCol

  32. def getIntercept: Double

  33. final def getLabelCol: String

    Definition Classes
    HasLabelCol

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

    Definition Classes
    Params

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

    Definition Classes
    Params

  36. final def getPredictionCol: String

    Definition Classes
    HasPredictionCol

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

    Definition Classes
    Params

  38. def hasParam(paramName: String): Boolean

    Definition Classes
    Params

  39. def hasParent: Boolean

    Definition Classes
    Model

  40. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  41. val index: String

    Definition Classes
    HasWeights

  42. def init(coefficients: Vector, sqlContext: SQLContext, features: StructField): LinearModel[M]

    Attributes
    protected

  43. final val intercept: DoubleParam

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

    Definition Classes
    Params

  45. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  46. def isSaveSummaryEnabled: Boolean

    Definition Classes
    ModelWithSummary

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

    Definition Classes
    Params

  48. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  49. final val labelCol: Param[String]

    Definition Classes
    HasLabelCol

  50. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  57. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  62. val name: String

    Definition Classes
    HasWeights

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

    Definition Classes
    AnyRef

  64. final def notify(): Unit

    Definition Classes
    AnyRef

  65. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  66. def numFeatures: Int

    Definition Classes
    PredictionModel
    Annotations
    @Since( "1.6.0" )

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

    Definition Classes
    Params

  68. var parent: Estimator[M]

    Definition Classes
    Model

  69. final def predict(features: Vector): Double

    Attributes
    protected
    Definition Classes
    LinearModel → DirectPredictionModel → PredictionModel

  70. def predictDirect(features: Any): Double

    Definition Classes
    DirectPredictionModel

  71. final val predictionCol: Param[String]

    Definition Classes
    HasPredictionCol

  72. def save(path: String): Unit

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

  73. final def set(paramPair: ParamPair[_]): LinearModel.this.type

    Attributes
    protected
    Definition Classes
    Params

  74. final def set(param: String, value: Any): LinearModel.this.type

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

  78. def setFeaturesCol(value: String): M

    Definition Classes
    PredictionModel

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

    Definition Classes
    Model

  80. def setPredictionCol(value: String): M

    Definition Classes
    PredictionModel

  81. def summary: ModelSummary

    Definition Classes
    ModelWithSummary

  82. val summaryParam: Param[ModelSummary]

    Attributes
    protected
    Definition Classes
    ModelWithSummary

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

    Definition Classes
    AnyRef

  84. def toString(): String

    Definition Classes
    Identifiable → AnyRef → Any

  85. def transform(dataset: DataFrame): DataFrame

    Definition Classes
    PredictionModel → Transformer

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

    Definition Classes
    Transformer

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

    Definition Classes
    Transformer
    Annotations
    @varargs()

  88. def transformImpl(dataset: DataFrame): DataFrame

    Attributes
    protected
    Definition Classes
    PredictionModel

  89. def transformSchema(schema: StructType): StructType

    Definition Classes
    PredictionModel → PipelineStage

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

    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  91. val uid: String

    Definition Classes
    LinearModel → Identifiable

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

    Attributes
    protected
    Definition Classes
    PredictorParams

  93. def validateParams(): Unit

    Definition Classes
    Params

  94. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  97. val weight: String

    Definition Classes
    HasWeights

  98. val weights: Block

    Definition Classes
    HasWeights

  99. def write: WithSummaryWriter[M]

    Definition Classes
    ModelWithSummary → MLWritable

Inherited from HasWeights

Inherited from LinearModelParams

Inherited from ModelWithSummary[M]

Inherited from MLWritable

Inherited from DirectPredictionModel[Vector, M]

Inherited from HasDirectTransformOption

Inherited from PredictionModel[Vector, 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