Class

ml.combust.mleap.core.regression

LinearRegressionModel

Related Doc: package regression

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case class LinearRegressionModel(coefficients: Vector, intercept: Double) extends Model with Product with Serializable

Class for linear regression model.

coefficients

coefficients for linear regression

intercept

intercept for regression

Linear Supertypes
Serializable, Serializable, Product, Equals, Model, AnyRef, Any
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  1. LinearRegressionModel
  2. Serializable
  3. Serializable
  4. Product
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  6. Model
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Instance Constructors

  1. new LinearRegressionModel(coefficients: Vector, intercept: Double)

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    coefficients

    coefficients for linear regression

    intercept

    intercept for regression

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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  4. def apply(features: Vector): Double

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    Alias for ml.combust.mleap.core.regression.LinearRegressionModel#predict

    Alias for ml.combust.mleap.core.regression.LinearRegressionModel#predict

    features

    features for prediction

    returns

    prediction

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
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  6. def clone(): AnyRef

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

  7. val coefficients: Vector

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    coefficients for linear regression

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

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    Definition Classes
    AnyRef

  9. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  11. def inputSchema: StructType

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    Definition Classes
    LinearRegressionModel → Model

  12. val intercept: Double

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    intercept for regression

  13. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  15. final def notify(): Unit

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    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  17. def outputSchema: StructType

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    Definition Classes
    LinearRegressionModel → Model

  18. def predict(features: Vector): Double

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    Predict a value using this linear regression.

    Predict a value using this linear regression.

    features

    features for prediction

    returns

    prediction

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

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    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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    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Model

Inherited from AnyRef

Inherited from Any

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