Github user MechCoder commented on the pull request:
https://github.com/apache/spark/pull/4654#issuecomment-76701605
Hmm. I came up with this, but surely there should be a more elegant way of
doing it.
import scala.util.Random
rng = Random
rng.setSeed(0)
Array.tabulate(nSamples){i =>
Vectors.dense(Array.fill(nFeatures)(rng.nextDouble))}
Compared to the NumPy way of doing
rng = np.random.RandomState(0)
rng.rand(nSamples, nFeatures)
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