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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