DenseMatrix

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 clone(): AnyRef

   

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6. def diag(vector: Vector): DenseMatrix

   

   Generate a diagonal matrix in DenseMatrix format from the supplied values.

   Generate a diagonal matrix in DenseMatrix format from the supplied values.

   vector

   a Vector that will form the values on the diagonal of the matrix

   returns

   Square DenseMatrix with size values.length x values.length and values on the diagonal

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   @Since( "1.3.0" )

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

   

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8. def equals(arg0: Any): Boolean

   

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9. def eye(n: Int): DenseMatrix

   

   Generate an Identity Matrix in DenseMatrix format.

   Generate an Identity Matrix in DenseMatrix format.

   n

   number of rows and columns of the matrix

   returns

   DenseMatrix with size n x n and values of ones on the diagonal

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   @Since( "1.3.0" )

10. def finalize(): Unit

    

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11. def fromML(m: ml.linalg.DenseMatrix): DenseMatrix

    

    Convert new linalg type to spark.mllib type.

    Convert new linalg type to spark.mllib type. Light copy; only copies references

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    @Since( "2.0.0" )

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. final def notify(): Unit

    

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17. final def notifyAll(): Unit

    

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18. def ones(numRows: Int, numCols: Int): DenseMatrix

    

    Generate a DenseMatrix consisting of ones.

    Generate a DenseMatrix consisting of ones.

    numRows

    number of rows of the matrix

    numCols

    number of columns of the matrix

    returns

    DenseMatrix with size numRows x numCols and values of ones

    Annotations

    @Since( "1.3.0" )

19. def rand(numRows: Int, numCols: Int, rng: Random): DenseMatrix

    

    Generate a DenseMatrix consisting of i.i.d. uniform random numbers.

    Generate a DenseMatrix consisting of i.i.d. uniform random numbers.

    numRows

    number of rows of the matrix

    numCols

    number of columns of the matrix

    rng

    a random number generator

    returns

    DenseMatrix with size numRows x numCols and values in U(0, 1)

    Annotations

    @Since( "1.3.0" )

20. def randn(numRows: Int, numCols: Int, rng: Random): DenseMatrix

    

    Generate a DenseMatrix consisting of i.i.d. gaussian random numbers.

    Generate a DenseMatrix consisting of i.i.d. gaussian random numbers.

    numRows

    number of rows of the matrix

    numCols

    number of columns of the matrix

    rng

    a random number generator

    returns

    DenseMatrix with size numRows x numCols and values in N(0, 1)

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    @Since( "1.3.0" )

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

    

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22. def toString(): String

    

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23. final def wait(): Unit

    

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

    

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

    

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26. def zeros(numRows: Int, numCols: Int): DenseMatrix

    

    Generate a DenseMatrix consisting of zeros.

    Generate a DenseMatrix consisting of zeros.

    numRows

    number of rows of the matrix

    numCols

    number of columns of the matrix

    returns

    DenseMatrix with size numRows x numCols and values of zeros

    Annotations

    @Since( "1.3.0" )