BIDMach.models

LDAgibbs

object LDAgibbs

Linear Supertypes
AnyRef, Any
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. LDAgibbs
  2. AnyRef
  3. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

Type Members

  1. class Options extends Opts

  2. trait Opts extends FactorModel.Opts

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 LDAsample(A: Mat, B: Mat, AN: Mat, BN: Mat, C: Mat, D: Mat, nsamps: Float, doBino: Boolean): Unit

  5. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  6. def clone(): AnyRef

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

  7. def doLDAgibbs(A: GMat, B: GMat, AN: GMat, BN: GMat, C: GSMat, D: GMat, nsamps: Float, doBino: Boolean): Unit

  8. def doLDAgibbsx(A: GMat, B: GMat, C: GSMat, Ms: GIMat, Us: GIMat): Unit

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

    Definition Classes
    AnyRef

  10. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  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. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  15. def learnBatch(mat0: Mat, d: Int = 256): (Learner, Learner.Options with Opts with datasources.MatDS.Opts with updaters.BatchNorm.Opts)

  16. def learnFPar(nstart: Int = FilesDS.encodeDate(2012,3,1,0), nend: Int = FilesDS.encodeDate(2012,12,1,0), d: Int = 256): (ParLearnerF, ParLearner.Options with Opts with datasources.SFilesDS.Opts with updaters.IncNorm.Opts)

  17. def learnFParx(nstart: Int = FilesDS.encodeDate(2012,3,1,0), nend: Int = FilesDS.encodeDate(2012,12,1,0), d: Int = 256): (ParLearnerxF, ParLearner.Options with Opts with datasources.SFilesDS.Opts with updaters.IncNorm.Opts)

  18. def learnPar(mat0: Mat, d: Int = 256): (ParLearnerF, ParLearner.Options with Opts with datasources.MatDS.Opts with updaters.IncNorm.Opts)

  19. def learner(mat0: Mat, d: Int = 256): (Learner, Learner.Options with Opts with datasources.MatDS.Opts with updaters.IncNorm.Opts)

  20. def mkGibbsLDAmodel(fopts: Model.Opts): LDAgibbs

  21. def mkUpdater(nopts: updaters.Updater.Opts): IncNorm

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

    Definition Classes
    AnyRef

  23. final def notify(): Unit

    Definition Classes
    AnyRef

  24. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    AnyRef

  26. def toString(): String

    Definition Classes
    AnyRef → Any

  27. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from AnyRef

Inherited from Any

Ungrouped