Class

ml.combust.mleap.runtime.transformer.regression

LinearRegression

Related Doc: package regression

Permalink

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

Class for an MLeap linear regression transformer.

uid

unique identifier

featuresCol

input column containing features

predictionCol

output column containing prediction

model

linear regression model

Linear Supertypes
Serializable, Serializable, Product, Equals, Transformer, AutoCloseable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. LinearRegression
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Transformer
  7. AutoCloseable
  8. AnyRef
  9. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

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

    Permalink

    uid

    unique identifier

    featuresCol

    input column containing features

    predictionCol

    output column containing prediction

    model

    linear regression model

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. def close(): Unit

    Permalink
    Definition Classes
    Transformer → AutoCloseable

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

    Permalink
    Definition Classes
    AnyRef

  8. val exec: UserDefinedFunction

    Permalink

  9. val featuresCol: String

    Permalink

    input column containing features

  10. def finalize(): Unit

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

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

    Permalink
    Definition Classes
    AnyRef → Any

  12. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any

  13. val model: LinearRegressionModel

    Permalink

    linear regression model

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

    Permalink
    Definition Classes
    AnyRef

  15. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef

  17. val predictionCol: String

    Permalink

    output column containing prediction

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

    Permalink
    Definition Classes
    AnyRef

  19. def transform[TB <: TransformBuilder[TB]](builder: TB): Try[TB]

    Permalink

    Transform a builder using this MLeap transformer.

    Transform a builder using this MLeap transformer.

    TB

    underlying class of builder

    builder

    builder to transform

    returns

    try new builder with transformation applied

    Definition Classes
    LinearRegression → Transformer

  20. val uid: String

    Permalink

    unique identifier

    unique identifier

    Definition Classes
    LinearRegression → Transformer

  21. final def wait(): Unit

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

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

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

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

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

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Transformer

Inherited from AutoCloseable

Inherited from AnyRef

Inherited from Any

Ungrouped