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# Cached 

#### trait Cached extends SimpleBlockSampler

Caches factors according to assignments of values in the Markov blanket, which avoids recomputing the same factors repeatedly Takes advantage of the fact in Gibbs sampling, nearby samples tend to be highly correlated

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1. Cached
2. SimpleBlockSampler
3. BlockSampler
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### 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. val adjacentFactors: List[Factor[Double]]
Definition Classes
BlockSampler
5. final def asInstanceOf[T0]: T0
Definition Classes
Any
6. val block
Definition Classes
BlockSampler
7. val blockInfo
Definition Classes
BlockSampler
8. lazy val cache: Map[List[Int], Factor[Double]]
9. def clone(): AnyRef
Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
10. def computeSamplingFactor(currentSamples: Map[Variable[_], Int]): Factor[Double]
Definition Classes
SimpleBlockSampler
11. final def eq(arg0: AnyRef): Boolean
Definition Classes
AnyRef
12. def equals(arg0: Any): Boolean
Definition Classes
AnyRef → Any
13. def finalize(): Unit
Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
14. final def getClass(): Class[_]
Definition Classes
AnyRef → Any
15. def getSamplingFactor(currentSamples: Map[Variable[_], Int]): Factor[Double]

Get the factor from which to sample this block Returns a non-logarithmic factor

Get the factor from which to sample this block Returns a non-logarithmic factor

Definition Classes
CachedSimpleBlockSamplerBlockSampler
16. def hashCode(): Int
Definition Classes
AnyRef → Any
17. val indexMap: Map[Variable[_], Int]
Definition Classes
SimpleBlockSampler
18. val indices
Definition Classes
SimpleBlockSampler
19. final def isInstanceOf[T0]: Boolean
Definition Classes
Any
20. lazy val markovBlanket: List[Variable[_]]
21. lazy val maxSize: Int
22. final def ne(arg0: AnyRef): Boolean
Definition Classes
AnyRef
23. def normalizeFactor(factor: Factor[Double]): Factor[Double]

Normalize a factor so its weights sum to 1 Takes a logarithmic factor and returns a non-logarithmic factor

Normalize a factor so its weights sum to 1 Takes a logarithmic factor and returns a non-logarithmic factor

Definition Classes
SimpleBlockSampler
24. final def notify(): Unit
Definition Classes
AnyRef
25. final def notifyAll(): Unit
Definition Classes
AnyRef
26. def sample(currentSamples: Map[Variable[_], Int]): Unit

Sample this block once

Sample this block once

Definition Classes
BlockSampler
27. def sampleFactor(factor: Factor[Double]): List[Int]

Select a set of indices in the factor according to the weights in the factor Works on a non-logarithmic factor

Select a set of indices in the factor according to the weights in the factor Works on a non-logarithmic factor

Definition Classes
BlockSampler
28. val semiring
Definition Classes
SimpleBlockSampler
29. final def synchronized[T0](arg0: ⇒ T0): T0
Definition Classes
AnyRef
30. def toString(): String
Definition Classes
AnyRef → Any
31. final def wait(): Unit
Definition Classes
AnyRef
Annotations
@throws( ... )
32. final def wait(arg0: Long, arg1: Int): Unit
Definition Classes
AnyRef
Annotations
@throws( ... )
33. final def wait(arg0: Long): Unit
Definition Classes
AnyRef
Annotations
@throws( ... )