GenericLDSEM

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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. final def eq(arg0: AnyRef): Boolean

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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

   

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11. final def isInstanceOf[T0]: Boolean

    

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12. def learn(data: Array[Array[Double]], priorMean: Gaussian, emissionVar: Double, iterNum: Int): EMSummary

    

    Learn parameters (prior mean and variance and emission variance) of linear dynamical systems with EM algorithm.

    Learn parameters (prior mean and variance and emission variance) of linear dynamical systems with EM algorithm. Learning transition variance is not supported.

    data

    Sequence of sequences of observations (transition variance is zero)

    priorMean

    Initial prior mean parameters (mean and variance)

    emissionVar

    Initial emission variance

    Definition Classes

    GenericLDSEM → LDSEM

13. lazy val logger: Logger

    

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

    

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15. final def notify(): Unit

    

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19. final def wait(): Unit

    

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

    

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

    

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