ml.combust.mleap.bundle.ops.regression

LinearRegressionOp

class LinearRegressionOp extends MleapOp[LinearRegression, LinearRegressionModel]

Created by hollinwilkins on 8/22/16.

Linear Supertypes
MleapOp[LinearRegression, LinearRegressionModel], OpNode[MleapContext, LinearRegression, LinearRegressionModel], AnyRef, Any
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Inherited
  1. LinearRegressionOp
  2. MleapOp
  3. OpNode
  4. AnyRef
  5. Any
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Visibility
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Instance Constructors

  1. new LinearRegressionOp()

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. val Model: OpModel[MleapContext, LinearRegressionModel]

    Definition Classes
    LinearRegressionOp → OpNode

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. def children(node: LinearRegression): Option[Array[Any]]

    Definition Classes
    OpNode

  9. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  11. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  12. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  14. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  15. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  16. val klazz: Class[LinearRegression]

    Definition Classes
    MleapOp → OpNode

  17. def load(node: Node, model: LinearRegressionModel)(implicit context: BundleContext[MleapContext]): LinearRegression

    Definition Classes
    MleapOp → OpNode

  18. def model(node: LinearRegression): LinearRegressionModel

    Definition Classes
    LinearRegressionOp → OpNode

  19. def name(node: LinearRegression): String

    Definition Classes
    MleapOp → OpNode

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

    Definition Classes
    AnyRef

  21. final def notify(): Unit

    Definition Classes
    AnyRef

  22. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  23. def shape(node: LinearRegression)(implicit context: BundleContext[MleapContext]): NodeShape

    Definition Classes
    MleapOp → OpNode

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

    Definition Classes
    AnyRef

  25. def toString(): String

    Definition Classes
    AnyRef → Any

  26. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from MleapOp[LinearRegression, LinearRegressionModel]

Inherited from OpNode[MleapContext, LinearRegression, LinearRegressionModel]

Inherited from AnyRef

Inherited from Any

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