com.truecar.mleap.runtime.transformer

LinearRegressionModel

case class LinearRegressionModel(featuresCol: String, predictionCol: String, model: LinearRegression) extends Transformer with Product with Serializable

Created by hwilkins on 10/22/15.

Linear Supertypes
Serializable, Serializable, Product, Equals, Transformer, AnyRef, Any
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Inherited
  1. LinearRegressionModel
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Transformer
  7. AnyRef
  8. Any
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Instance Constructors

  1. new LinearRegressionModel(featuresCol: String, predictionCol: String, model: LinearRegression)

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 build[TB](builder: TB)(implicit arg0: TransformBuilder[TB]): Try[TB]

    Definition Classes
    LinearRegressionModel → Transformer

  8. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  10. val featuresCol: String

  11. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  13. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  14. val model: LinearRegression

  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. val predictionCol: String

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

    Definition Classes
    AnyRef

  20. def transform[L](frame: L)(implicit arg0: LeapFrame[L]): Try[L]

    Definition Classes
    Transformer

  21. def transformAttributeSchema(schema: AttributeSchema): AttributeSchema

    Definition Classes
    LinearRegressionModel → Transformer

  22. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Transformer

Inherited from AnyRef

Inherited from Any

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