Class

org.apache.spark.mllib.regression

GeneralizedLinearModel

Related Doc: package regression

Permalink

abstract class GeneralizedLinearModel extends Serializable

:: DeveloperApi :: GeneralizedLinearModel (GLM) represents a model trained using GeneralizedLinearAlgorithm. GLMs consist of a weight vector and an intercept.

Annotations
@Since( "0.8.0" ) @DeveloperApi()
Source
GeneralizedLinearAlgorithm.scala
Linear Supertypes
Serializable, Serializable, AnyRef, Any
Known Subclasses
LassoModel, LinearRegressionModel, LogisticRegressionModel, RidgeRegressionModel, SVMModel
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. GeneralizedLinearModel
  2. Serializable
  3. Serializable
  4. AnyRef
  5. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new GeneralizedLinearModel(weights: Vector, intercept: Double)

    Permalink

    weights

    Weights computed for every feature.

    intercept

    Intercept computed for this model.

    Annotations
    @Since( "1.0.0" )

Abstract Value Members

  1. abstract def predictPoint(dataMatrix: Vector, weightMatrix: Vector, intercept: Double): Double

    Permalink

    Predict the result given a data point and the weights learned.

    Predict the result given a data point and the weights learned.

    dataMatrix

    Row vector containing the features for this data point

    weightMatrix

    Column vector containing the weights of the model

    intercept

    Intercept of the model.

    Attributes
    protected

Concrete Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any

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

    Permalink
    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any

  5. def clone(): AnyRef

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

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

    Permalink
    Definition Classes
    AnyRef

  7. def equals(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any

  8. def finalize(): Unit

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

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

    Permalink
    Definition Classes
    AnyRef → Any

  10. def hashCode(): Int

    Permalink
    Definition Classes
    AnyRef → Any

  11. val intercept: Double

    Permalink

    Intercept computed for this model.

    Intercept computed for this model.

    Annotations
    @Since( "0.8.0" )

  12. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any

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

    Permalink
    Definition Classes
    AnyRef

  14. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef

  15. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef

  16. def predict(testData: Vector): Double

    Permalink

    Predict values for a single data point using the model trained.

    Predict values for a single data point using the model trained.

    testData

    array representing a single data point

    returns

    Double prediction from the trained model

    Annotations
    @Since( "1.0.0" )

  17. def predict(testData: RDD[Vector]): RDD[Double]

    Permalink

    Predict values for the given data set using the model trained.

    Predict values for the given data set using the model trained.

    testData

    RDD representing data points to be predicted

    returns

    RDD[Double] where each entry contains the corresponding prediction

    Annotations
    @Since( "1.0.0" )

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

    Permalink
    Definition Classes
    AnyRef

  19. def toString(): String

    Permalink

    Print a summary of the model.

    Print a summary of the model.

    Definition Classes
    GeneralizedLinearModel → AnyRef → Any

  20. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  23. val weights: Vector

    Permalink

    Weights computed for every feature.

    Weights computed for every feature.

    Annotations
    @Since( "1.0.0" )

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped