cc.factorie.directed

MultivariateGaussian

object MultivariateGaussian extends DirectedFamily3[MutableTensorVarTensor1, MutableTensorVarTensor1, MutableTensorVarTensor2]

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  1. MultivariateGaussian
  2. DirectedFamily3
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Type Members

  1. type C = MutableTensorVarTensor1

    Definition Classes
    DirectedFamily3
  2. case class Factor(_1: MutableTensorVarTensor1, _2: MutableTensorVarTensor1, _3: MutableTensorVarTensor2) extends MultivariateGaussian.Factor with Product with Serializable

    Definition Classes
    MultivariateGaussianDirectedFamily3
  3. type P1 = MutableTensorVarTensor1

    Definition Classes
    DirectedFamily3
  4. type P2 = MutableTensorVarTensor2

    Definition Classes
    DirectedFamily3

Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. def apply(p1: P1, p2: P2): (C) ⇒ MultivariateGaussian.Factor

    Definition Classes
    DirectedFamily3
  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  8. def cholesky(matrix: la.Tensor2): la.DenseTensor2

  9. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. def determinant(matrix: la.Tensor2): Double

  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
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    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  15. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  16. def invert(matrix: la.Tensor2): la.DenseTensor2

  17. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  18. def logpr(value: la.Tensor1, mean: la.Tensor1, variance: la.Tensor2): Double

  19. def matrix2Tensor(matrix: DoubleMatrix): la.DenseTensor2

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

    Definition Classes
    AnyRef
  21. def newFactor(a: MutableTensorVarTensor1, b: MutableTensorVarTensor1, c: MutableTensorVarTensor2): Factor

    Definition Classes
    MultivariateGaussianDirectedFamily3
  22. def nextGaussian(mean: la.Tensor1, covariance: la.Tensor2)(implicit r: Random): la.Tensor1

  23. final def notify(): Unit

    Definition Classes
    AnyRef
  24. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  25. def pr(value: la.Tensor1, mean: la.Tensor1, variance: la.Tensor2): Double

  26. def sampledValue(mean: la.Tensor1, variance: la.Tensor2)(implicit random: Random): la.Tensor1

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

    Definition Classes
    AnyRef
  28. def tensor2Matrix(matrix: la.Tensor2): DoubleMatrix

  29. def toString(): String

    Definition Classes
    AnyRef → Any
  30. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  31. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  32. final def wait(arg0: Long): Unit

    Definition Classes
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    @throws( ... )

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