I am using 1.0.1 and I am running locally (I am not providing any master
URL). But the zip() does not produce the correct count as I mentioned above.
So not sure if the issue has been fixed in 1.0.1. However, instead of using
zip, I am now using the code that Sean has mentioned and am getting the
c
Yes, in addition, I think Xiangrui updated the examples anyhow to use
a different form that does not rely on zip:
test.map(v => (model.predict(v.features), v.label))
It avoid evaluating test twice, and avoids the zip. Although I suppose
you have to bear in mind it now calls predict() on each elem
Are you using 1.0.0? There was a bug, which was fixed in 1.0.1 and
master. If you don't want to switch to 1.0.1 or master, try to cache
and count test first. -Xiangrui
On Mon, Jul 28, 2014 at 6:07 PM, SK wrote:
> Hi,
>
> In order to evaluate the ML classification accuracy, I am zipping up the
> p
