Hello,
I generated a HOP plan using -explain, but I can't find the meaning of the
following operators:
1. t(-*)
2. ua(+RC)
3. lix
4. u(cast_as_scalar)
Thank you in advance,
Nantia
ial we gave last year at the BOSS workshop:
>
> http://boss.dima.tu-berlin.de/media/BOSS16-Tutorial-mboehm.pdf
> (slides 10-15)
>
> If you have questions beyond that, please just ask. This is also very
> helpful for us for future improvements of our documentation.
>
>
> Regard
Hello,
are there any resources explaining the HOP and LOP DAGs generated by
-explain?
Thanks a lot,
Nantia
Hello,
I am trying to run the PyDML script below using the Spark ML Context.
import systemml as smlimport numpy as npsml.setSparkContext(sc)m1 =
sml.matrix(np.ones((3,3)) + 2)m2 = sml.matrix(np.ones((3,3)) + 3)m2 =
m1 * (m2 + m1)m4 = 1.0 - m2m4.sum(axis=1).toNumPyArray()
I start Spark Shell
