org.allenai.nlpstack.parse.poly.ml

LinearModel

case class LinearModel(coefficients: Seq[(FeatureName, Double)]) extends Product with Serializable

A weighted linear combination of features.

coefficients

map from feature names to weight coefficients

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  1. LinearModel
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Instance Constructors

  1. new LinearModel(coefficients: Seq[(FeatureName, Double)])

    coefficients

    map from feature names to weight coefficients

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

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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

  8. val coefficientMap: Map[FeatureName, Double]

  9. val coefficients: Seq[(FeatureName, Double)]

    map from feature names to weight coefficients

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

    Definition Classes
    AnyRef

  11. def finalize(): Unit

    Attributes
    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

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

    Definition Classes
    AnyRef → Any

  13. def getCoefficient(featureName: FeatureName): Double

    Returns the coefficient corresponding to the specified feature name.

    Returns the coefficient corresponding to the specified feature name.

    For unspecified coefficients, zero is returned.

    featureName

    the feature name of interest

    returns

    the coefficient corresponding to the specified feature name

  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 score(featureVector: FeatureVector): Double

    Computes the weighted linear combination, given the feature values in the argument vector.

    Computes the weighted linear combination, given the feature values in the argument vector.

    featureVector

    the feature vector of interest

    returns

    the weighted linear combination

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

    Definition Classes
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  20. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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Inherited from Serializable

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