BIDMach.models

RandomForest

object RandomForest

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Type Members

  1. class Options extends Opts

  2. trait Opts extends Model.Opts

  3. class RFSopts extends RFopts with datasources.MatDS.Opts

  4. class RFopts extends Learner.Options with Opts with datasources.DataSource.Opts with updaters.Batch.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 checktree(tree: IMat, ncats: Int): Unit

  6. def clone(): AnyRef

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    @throws( ... )

  7. def countbits(n: Int): Int

  8. def entropy(a: IMat, b: IMat): Double

  9. def entropy(a: IMat): Double

  10. def entropy(a: DMat, b: DMat): Double

  11. def entropy(a: DMat): Double

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

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  13. def equals(arg0: Any): Boolean

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  14. def finalize(): Unit

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

  15. def floatToInt(in: GMat, nbits: Int): GIMat

  16. def floatToInt(in: GMat, out: Mat, nbits: Int): GIMat

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

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  18. def hashCode(): Int

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  19. final def isInstanceOf[T0]: Boolean

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  20. def learner(ds: DataSource): (Learner, RFopts)

  21. def learner(data: IMat, labels: IMat): (Learner, RFSopts)

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

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  23. final def notify(): Unit

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  24. final def notifyAll(): Unit

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  25. def predictor(modelname: String, ds: DataSource): (Learner, RFopts)

  26. def predictor(model: RandomForest, ds: DataSource, opts: RFopts): (Learner, RFopts)

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

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  28. def toString(): String

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  29. final def wait(): Unit

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

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

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