org.apache.spark.mllib.classification

LogisticRegressionModel

class LogisticRegressionModel extends GeneralizedLinearModel with ClassificationModel with Serializable

Classification model trained using Logistic Regression.

Linear Supertypes
ClassificationModel, GeneralizedLinearModel, Serializable, Serializable, AnyRef, Any
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  1. LogisticRegressionModel
  2. ClassificationModel
  3. GeneralizedLinearModel
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
Visibility
  1. Public
  2. All

Instance Constructors

  1. new LogisticRegressionModel(weights: Array[Double], intercept: Double)

    weights

    Weights computed for every feature.

    intercept

    Intercept computed for this model.

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 ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  9. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  10. def finalize(): Unit

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

  11. final def getClass(): java.lang.Class[_]

    Definition Classes
    AnyRef → Any

  12. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  13. val intercept: Double

    Intercept computed for this model.

    Intercept computed for this model.

    Definition Classes
    LogisticRegressionModel → GeneralizedLinearModel

  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  16. final def notify(): Unit

    Definition Classes
    AnyRef

  17. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  18. def predict(testData: Array[Double]): Double

    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

    Definition Classes
    GeneralizedLinearModel

  19. def predict(testData: RDD[Array[Double]]): RDD[Double]

    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

    Definition Classes
    GeneralizedLinearModel

  20. def predictPoint(dataMatrix: DoubleMatrix, weightMatrix: DoubleMatrix, intercept: Double): Double

    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.

    Definition Classes
    LogisticRegressionModel → GeneralizedLinearModel

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

    Definition Classes
    AnyRef

  22. def toString(): String

    Definition Classes
    AnyRef → Any

  23. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws()

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

    Definition Classes
    AnyRef
    Annotations
    @throws()

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

    Definition Classes
    AnyRef
    Annotations
    @throws()

  26. val weights: Array[Double]

    Weights computed for every feature.

    Weights computed for every feature.

    Definition Classes
    LogisticRegressionModel → GeneralizedLinearModel

Inherited from ClassificationModel

Inherited from GeneralizedLinearModel

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any