EMWithBP

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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. def apply(terminationCriteria: () ⇒ EMTerminationCriteria, bpIterations: Int, params: Parameter[_]*)(implicit universe: Universe): GeneralizedEM

   

   An expectation maximization algorithm using importance sampling for inference.

   An expectation maximization algorithm using importance sampling for inference.

   terminationCriteria

   criteria for stopping the EM algorithm

   bpIterations

   number of iterations of the BP algorithm

   params

   parameters to target with EM algorithm

5. def apply(emIterations: Int, bpIterations: Int, params: Parameter[_]*)(implicit universe: Universe): GeneralizedEM

   

   An expectation maximization algorithm using importance sampling for inference.

   An expectation maximization algorithm using importance sampling for inference.

   emIterations

   number of iterations of the EM algorithm

   bpIterations

   number of iterations of the BP algorithm

   params

   parameters to target with EM algorithm

6. def apply(params: Parameter[_]*)(implicit universe: Universe): GeneralizedEM

   

   An expectation maximization algorithm using Belief Propagation sampling for inference.

   An expectation maximization algorithm using Belief Propagation sampling for inference.

   params

   parameters to target with EM algorithm

7. def apply(emIterations: Int, bpIterations: Int, p: ModelParameters)(implicit universe: Universe): GeneralizedEM

   

   An expectation maximization algorithm using Belief Propagation sampling for inference.

   An expectation maximization algorithm using Belief Propagation sampling for inference.

   emIterations

   number of iterations of the EM algorithm

   bpIterations

   number of iterations of the BP algorithm

8. def apply(params: ModelParameters)(implicit universe: Universe): GeneralizedEM

   

   An expectation maximization algorithm using Belief Propagation sampling for inference.

   An expectation maximization algorithm using Belief Propagation sampling for inference.

   params

   parameters to target with EM algorithm

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

    

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13. def finalize(): Unit

    

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22. final def wait(): Unit

    

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

    

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

    

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