BlockSampler

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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. def continuous(_variance: Double): (BlockInfo) ⇒ SimpleBlockSampler with Cached with GaussianWeight with FactorProduct

   

   Like BlockSampler.default, but also uses Gaussian weighting scheme when there exist Element[Double]s that are results of Chains

7. def default: (BlockInfo) ⇒ SimpleBlockSampler with Cached with FactorProduct

   

   Caches 1000 factors and uses a VE-like procedure to compute joint factors

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

   

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9. def equals(arg0: Any): Boolean

   

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10. def finalize(): Unit

    

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

    

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12. def hashCode(): Int

    

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13. final def isInstanceOf[T0]: Boolean

    

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14. def joint: (BlockInfo) ⇒ SimpleBlockSampler with Cached

    

    Computes the joint distribution over the block by iterating through every combination of assignments of variables Takes time exponential in the size of the block, and is only recommended for blocks with no determinism

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

    

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16. final def notify(): Unit

    

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17. final def notifyAll(): Unit

    

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

    

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19. def toString(): String

    

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20. final def wait(): Unit

    

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

    

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

    

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