Class/Object

org.apache.flink.ml.optimization

Solver

Related Docs: object Solver | package optimization

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abstract class Solver extends Serializable with WithParameters

Base class for optimization algorithms

Linear Supertypes
WithParameters, Serializable, Serializable, AnyRef, Any
Known Subclasses
GradientDescent, IterativeSolver
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Inherited
  1. Solver
  2. WithParameters
  3. Serializable
  4. Serializable
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Visibility
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Instance Constructors

  1. new Solver()

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Abstract Value Members

  1. abstract def optimize(data: DataSet[LabeledVector], initialWeights: Option[DataSet[WeightVector]]): DataSet[WeightVector]

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    Provides a solution for the given optimization problem

    Provides a solution for the given optimization problem

    data

    A Dataset of LabeledVector (input, output) pairs

    initialWeights

    The initial weight that will be optimized

    returns

    A Vector of weights optimized to the given problem

Concrete 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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    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clone(): AnyRef

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

  6. def createInitialWeightVector(dimensionDS: DataSet[Int]): DataSet[WeightVector]

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    Creates a DataSet with one zero vector.

    Creates a DataSet with one zero vector. The zero vector has dimension d, which is given by the dimensionDS.

    dimensionDS

    DataSet with one element d, denoting the dimension of the returned zero vector

    returns

    DataSet of a zero vector of dimension d

  7. def createInitialWeightsDS(initialWeights: Option[DataSet[WeightVector]], data: DataSet[LabeledVector]): DataSet[WeightVector]

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    Creates initial weights vector, creating a DataSet with a WeightVector element

    Creates initial weights vector, creating a DataSet with a WeightVector element

    initialWeights

    An Option that may contain an initial set of weights

    data

    The data for which we optimize the weights

    returns

    A DataSet containing a single WeightVector element

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

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    Definition Classes
    AnyRef

  9. def equals(arg0: Any): Boolean

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    Definition Classes
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  10. def finalize(): Unit

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

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

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  12. def hashCode(): Int

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  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. val parameters: ParameterMap

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    Definition Classes
    WithParameters

  18. def setLossFunction(lossFunction: LossFunction): Solver.this.type

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  19. def setRegularizationConstant(regularizationConstant: Double): Solver.this.type

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  20. def setRegularizationPenalty(regularizationPenalty: RegularizationPenalty): Solver.this.type

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

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    Definition Classes
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  22. def toString(): String

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  23. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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    @throws( ... )

Inherited from WithParameters

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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