BIDMach.models

LDAgibbsv

class LDAgibbsv extends FactorModel

Latent Dirichlet Model using repeated Gibbs sampling.

This version (v) supports per-model-element sample counts, e.g. for local heating or cooling of particular model coefficients.

Extends Factor Model Options with: - dim(256): Model dimension - uiter(5): Number of iterations on one block of data - alpha(0.001f) Dirichlet prior on document-topic weights - beta(0.0001f) Dirichlet prior on word-topic weights - nsamps(row(100)) matrix with the number of repeated samples to take

Other key parameters inherited from the learner, datasource and updater: - blockSize: the number of samples processed in a block - power(0.3f): the exponent of the moving average model' = a dmodel + (1-a)*model, a = 1/nblocks^power - npasses(10): number of complete passes over the dataset

Example:

a is a sparse word x document matrix

val (nn, opts) = LDAgibbs.learn(a)
opts.what // prints the available options
opts.uiter=2 // customize options
nn.run // run the learner
nn.modelmat // get the final model
nn.datamat // get the other factor (requires opts.putBack=1)

val (nn, opts) = LDAgibbs.learnPar(a) // Build a parallel learner
opts.nthreads = 2 // number of threads (defaults to number of GPUs)
nn.run // run the learner
nn.modelmat // get the final model
nn.datamat // get the other factor
Linear Supertypes
FactorModel, Model, AnyRef, Any
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  1. LDAgibbsv
  2. FactorModel
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Instance Constructors

  1. new LDAgibbsv(opts: Opts = new LDAgibbsv.Options)

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. var _modelmats: Array[Mat]

    Definition Classes
    Model

  5. var alpha: Mat

  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def bind(ds: DataSource): Unit

    Definition Classes
    Model

  8. def clone(): AnyRef

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

  9. def copyMats(from: Array[Mat], to: Array[Mat]): Unit

    Definition Classes
    Model

  10. def copyTo(mod: Model): Unit

    Definition Classes
    Model

  11. var datasource: DataSource

    Definition Classes
    Model

  12. def doblock(gmats: Array[Mat], ipass: Int, i: Long): Unit

    Definition Classes
    FactorModel → Model

  13. def doblockg(amats: Array[Mat], ipass: Int, here: Long): Unit

    Definition Classes
    Model

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

    Definition Classes
    AnyRef

  15. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  16. def evalblock(mats: Array[Mat], ipass: Int, here: Long): FMat

    Definition Classes
    FactorModel → Model

  17. def evalblockg(amats: Array[Mat], ipass: Int, here: Long): FMat

    Definition Classes
    Model

  18. def evalfun(sdata: Mat, user: Mat, ipass: Int): FMat

    Definition Classes
    LDAgibbsv → FactorModel

  19. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  21. var gmats: Array[Mat]

    Definition Classes
    Model

  22. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  23. def init(): Unit

    Definition Classes
    LDAgibbsv → FactorModel → Model

  24. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  25. var mats: Array[Mat]

    Definition Classes
    Model

  26. var mm: Mat

  27. def modelmats: Array[Mat]

    Definition Classes
    Model

  28. def mupdate(sdata: Mat, user: Mat, ipass: Int): Unit

    Definition Classes
    LDAgibbsv → FactorModel

  29. def mupdate2(data: Mat, user: Mat, ipass: Int): Unit

    Definition Classes
    FactorModel

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

    Definition Classes
    AnyRef

  31. final def notify(): Unit

    Definition Classes
    AnyRef

  32. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  33. var nsamps: Mat

  34. val opts: Opts

    Definition Classes
    LDAgibbsv → FactorModel → Model

  35. var parent_model: Model

    Definition Classes
    Model

  36. var putBack: Int

    Definition Classes
    Model

  37. var refresh: Boolean

    Definition Classes
    Model

  38. def setmodelmats(a: Array[Mat]): Unit

    Definition Classes
    Model

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

    Definition Classes
    AnyRef

  40. def toString(): String

    Definition Classes
    AnyRef → Any

  41. var traceMem: Boolean

  42. def updatePass(ipass: Int): Unit

    Definition Classes
    Model

  43. def updateSamps: Mat

  44. var updatemats: Array[Mat]

    Definition Classes
    Model

  45. var useDouble: Boolean

    Definition Classes
    Model

  46. var useGPU: Boolean

    Definition Classes
    Model

  47. def uupdate(sdata: Mat, user: Mat, ipass: Int): Unit

    Definition Classes
    LDAgibbsv → FactorModel

  48. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from FactorModel

Inherited from Model

Inherited from AnyRef

Inherited from Any

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