object EMWithMH

Linear Supertypes
AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. EMWithMH
  2. AnyRef
  3. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def apply(terminationCriteria: () ⇒ EMTerminationCriteria, mhParticles: Int, proposalScheme: ProposalScheme, params: ModelParameters)(implicit universe: Universe): GeneralizedEM

    An expectation maximization algorithm using Metropolis Hastings for inference.

    An expectation maximization algorithm using Metropolis Hastings for inference.

    terminationCriteria

    criteria for stopping the EM algorithm

    mhParticles

    number of particles of the MH algorithm

    proposalScheme

    proposal scheme for MH algorithm

    params

    parameters to target in EM algorithm

  5. def apply(emIterations: Int, mhParticles: Int, proposalScheme: ProposalScheme, p: ModelParameters)(implicit universe: Universe): GeneralizedEM

    An expectation maximization algorithm using Metropolis Hastings for inference.

    An expectation maximization algorithm using Metropolis Hastings for inference.

    mhParticles

    number of particles of the MH algorithm

    proposalScheme

    proposal scheme for MH algorithm

  6. def apply(p: ModelParameters)(implicit universe: Universe): GeneralizedEM

    An expectation maximization algorithm using Metropolis Hastings for inference.

  7. def apply(emIterations: Int, mhParticles: Int, proposalScheme: ProposalScheme, params: Parameter[_]*)(implicit universe: Universe): GeneralizedEM

    An expectation maximization algorithm using Metropolis Hastings for inference.

    An expectation maximization algorithm using Metropolis Hastings for inference.

    mhParticles

    number of particles of the MH algorithm

    proposalScheme

    proposal scheme for MH algorithm

    params

    parameters to target in EM algorithm

  8. def apply(terminationCriteria: () ⇒ EMTerminationCriteria, mhParticles: Int, params: Parameter[_]*)(implicit universe: Universe): GeneralizedEM

    An expectation maximization algorithm using Metropolis Hastings for inference.

    An expectation maximization algorithm using Metropolis Hastings for inference.

    terminationCriteria

    criteria for stopping the EM algorithm

    mhParticles

    number of particles of the MH algorithm

    params

    parameters to target in EM algorithm

  9. def apply(emIterations: Int, mhParticles: Int, p: Parameter[_]*)(implicit universe: Universe): GeneralizedEM

    An expectation maximization algorithm using Metropolis Hastings for inference.

    An expectation maximization algorithm using Metropolis Hastings for inference.

    emIterations

    number of iterations of the EM algorithm

    mhParticles

    number of particles of the MH algorithm

  10. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  11. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  12. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  14. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  16. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  17. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  18. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  19. final def notify(): Unit
    Definition Classes
    AnyRef
  20. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  21. def online(transition: () ⇒ Universe, p: ModelParameters)(implicit universe: Universe): GeneralizedOnlineEM
  22. def online(transition: () ⇒ Universe, p: Parameter[_]*)(implicit universe: Universe): GeneralizedOnlineEM
  23. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  24. def toString(): String
    Definition Classes
    AnyRef → Any
  25. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from AnyRef

Inherited from Any

Ungrouped