Xiaochang Wu created SPARK-30813:
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             Summary: Matrices.sprand mistakes in comments 
                 Key: SPARK-30813
                 URL: https://issues.apache.org/jira/browse/SPARK-30813
             Project: Spark
          Issue Type: Bug
          Components: ML
    Affects Versions: 3.0.0
            Reporter: Xiaochang Wu


/**
 * Generate a `SparseMatrix` consisting of `i.i.d.` *gaussian random* numbers.

>> *should be "uniform random" here*

* @param numRows number of rows of the matrix
 * @param numCols number of columns of the matrix
 * @param density the desired density for the matrix
 * @param rng a random number generator
 * @return `Matrix` with size `numRows` x `numCols` and values in U(0, 1)
 */
 @Since("2.0.0")
 def sprand(numRows: Int, numCols: Int, density: Double, rng: Random): Matrix =
 SparseMatrix.sprand(numRows, numCols, density, rng)



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