RandomVector

Value Members

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 binary(probabilitiesOfOne: Seq[Double]): RandomVector

   

   Produces random OPVectors (with DenseVector inside) consisting of zeroes and ones.

   Produces random OPVectors (with DenseVector inside) consisting of zeroes and ones. For each component we are given the probability of 1.

   probabilitiesOfOne

   probability at which we have 1, specified per component.

   returns

   a generator of random vectors.

6. def binary(size: Int, probabilityOfOne: Double): RandomVector

   

   Produces random OPVectors (with DenseVector inside) consisting of zeroes and ones.

   Produces random OPVectors (with DenseVector inside) consisting of zeroes and ones. The probability of 1 is given.

   size

   dimension of the vectors

   probabilityOfOne

   probability at which we have 1.

   returns

   a generator of random vectors.

7. def clone(): AnyRef

   

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8. def dense(dataSource: RandomReals, length: Int): RandomVector

   

   Produces random dense vectors with a given distribution

   Produces random dense vectors with a given distribution

   dataSource

   generator of random reals to be stored in the generated vectors

   length

   vectors length (they are all of the same length)

   returns

   a generator of sets of texts

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

   

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10. def equals(arg0: Any): Boolean

    

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11. def finalize(): Unit

    

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

    

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13. def hashCode(): Int

    

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14. final def isInstanceOf[T0]: Boolean

    

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

    

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16. def normal(mean: Vector, covMatrix: Matrix): RandomVector

    

    Produces normally distributed random vectors with a given mean and covariance matrix.

    Produces normally distributed random vectors with a given mean and covariance matrix.

    mean

    the mean value of generated vectors

    covMatrix

    the covariance matrix of generate vectors

    returns

    a RandomVector generator that produces vectors satisfying the given conditions

17. final def notify(): Unit

    

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18. final def notifyAll(): Unit

    

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19. def sparse(dataSource: RandomReals, length: Int): RandomVector

    

    Produces random sparse vectors with a given distribution

    Produces random sparse vectors with a given distribution

    dataSource

    generator of random reals to be stored in the generated vectors

    length

    vectors length (they are all of the same length)

    returns

    a generator of sets of texts

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

    

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21. def toString(): String

    

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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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