BIDMach.models

NMF

object NMF

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  1. class Options extends Opts

  2. trait Opts extends FactorModel.Opts

Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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

  13. 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)

  14. 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)

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

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

  17. def mkNMFmodel(fopts: Model.Opts): NMF

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

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

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  20. final def notify(): Unit

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  21. final def notifyAll(): Unit

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

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  23. def toString(): String

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  24. final def wait(): Unit

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

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

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