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<
heller_ >
diehlpk_work: If you don't mind, I'd like to have a look too
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<
github >
hpx/gh-pages be6463f StellarBot: Updating docs
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github >
hpx/fixing_3182 a03d43b Hartmut Kaiser: Fixing return type calculation for bulk_then_execute....
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<
github >
hpx/master d35c5fc Hartmut Kaiser: Merge pull request #3190 from STEllAR-GROUP/topology_improvements...
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<
github >
[hpx] hkaiser closed pull request #3194: parallel::{fill|fill_n} updated for Ranges TS. (master...fill_ranges_update)
https://git.io/vAV6U
14:14
<
github >
hpx/master ba54fd1 Anushi Maheshwari: Update README.rst...
14:14
<
github >
hpx/master 239d114 Hartmut Kaiser: Merge pull request #3197 from Anushi1998/master...
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<
github >
hpx/unlock_guard fa0aa95 Agustin K-ballo Berge: Remove unused scoped_unlock, unlock_guard_try
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heller_ >
diehlpk_mobile: would be cool if I could take a look at the heise stuff as well
15:39
<
hkaiser >
heller_: sure
15:40
<
hkaiser >
heller_: I can't access it atm myself, diehlpk_mobile sent the invitation to the wrong email
15:41
<
hkaiser >
diehlpk_mobile: pls resend to my gmail email
15:47
<
heller_ >
In all honesty, I'd like to participate in the fame as well :p
15:48
<
hkaiser >
absolutely
16:06
<
zao >
« Weiter in unserer Reihe "Software, die niemand kennt, wie es funktioniert" ... »
16:29
<
hkaiser >
the best library I've ever used that doesn't work
16:35
<
diehlpk_mobile >
hkaiser heller will resend it soon
16:44
<
diehlpk_mobile >
hkaiser sent it again
16:47
<
diehlpk_mobile >
heller hkaiser I will edit and answer the one missing questions later today
16:48
<
diehlpk_mobile >
after that we can propose an article about ten reasons you should contribute to a open source project
16:50
<
diehlpk_mobile >
for the article, I can ask for coauthors
16:51
<
diehlpk_mobile >
heller, the interview only about me, but you can get the same for the article
17:32
<
hkaiser >
diehlpk_mobile: is it ok if I add some things?
17:36
<
diehlpk_mobile >
sure
17:39
<
hkaiser >
diehlpk_mobile: do you think we could add a more generic advertisement for the group
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<
hkaiser >
something 'beyond GSoC we're always looking for visiting student interns...'
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hkaiser >
galabc: however, Zahra would be the better source of information
17:43
<
galabc >
I already send her an e-mail but its been a while
17:43
<
galabc >
I wondered if you knew some answers so my questions
17:43
<
hkaiser >
I can try
17:43
<
hkaiser >
did she answer?
17:43
<
hkaiser >
I can poke her as well, if needed
17:44
<
galabc >
From my understanding a multinomial regression is a classification algorithm that can give you one of multiple classes (like A B C D...)
17:44
<
galabc >
SO I assume you use one to find the chunk size
17:45
<
galabc >
And another to find the prefetching distance am I right?
17:46
<
galabc >
She didnt answer to my email yet
17:46
<
hkaiser >
yes to prefetching distance
17:46
<
hkaiser >
and I can ask her to answer
17:47
<
galabc >
That would be nice if you could ask her to answer
17:47
<
galabc >
How many classes do you use for chunk size?
17:48
<
galabc >
I don't need a precise value
17:49
<
hkaiser >
I think 5 or 6
17:49
<
galabc >
I was wondering
17:49
<
galabc >
Since the regression can only output 5 or 6 values
17:50
<
hkaiser >
I'll send you her phd thesis, that should give you some more details
17:51
<
galabc >
Could it be interesting to use a regression algorithm instead of a classification one
17:51
<
hkaiser >
galabc: sure
17:52
<
galabc >
a regression algorithm would allow to have continuous values as outputs
17:52
<
hkaiser >
galabc: what email should I use to send that to you?
17:52
<
galabc >
gabriel.laberge@polymtl.ca
17:52
<
galabc >
I think a regression would be better because you don't restrict yourself to 5 or 6 values
17:53
<
galabc >
it can output any values between two numbers
17:53
<
galabc >
this would allow to get a more precise chunk size I assume
17:53
<
hkaiser >
diehlpk_mobile: I'm done with my changes
17:54
<
hkaiser >
galabc: may be, not sure if we need this 'precision', though - but sure, let's try it
17:57
<
galabc >
I think a Nearest Neighbor algorithm can be used to do a regression on both chunk size and prefectching distance
17:58
<
galabc >
Assuming they require the same features
18:00
<
galabc >
Since you can average the chunk size and prefetching distance on the Nearest Neighbors to have a regression on two variables
18:01
<
galabc >
But I need to do some research still
18:10
<
galabc >
hkaiser thank you for the e-mail I will read the article meticulously
18:13
<
hkaiser >
galabc: ok
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<
hkaiser >
galabc: pls keep in mind that Zahra wanted to use different methods for the different things
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<
diehlpk_mobile >
hkaiser thanks for the editing
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