ff show up
> and let me in the server room. Now everything is back to normal.
>
> Regards,
> Al
>
> On Sun, Jun 17, 2018 at 8:55 PM Gabriel Laberge
> wrote:
>
>> Did you manage to get the cluster running again? If yes, I still can't
>> connect.
>>
.cct.lsu.edu
> https://github.com/STEllAR-GROUP/hpx
>
>
>> -Original Message-
>> From: hpx-users-boun...@stellar.cct.lsu.edu > boun...@stellar.cct.lsu.edu> On Behalf Of Gabriel Laberge
>> Sent: Friday, June 15, 2018 5:31 PM
>> To: hpx-users@stellar.
Hi
today I was working on the rostam clusters but suddenly I was unable
to connect. I've not been able to connect since then. I'm not sure of
what could cause such a problem.
Thank you.
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been found using
kfold-cross-validation, the algorithm will be fully implemented in
python as a way for me to get familiar with the algorithm.
Thank you very much, Once again I would like to apologize for missing
the deadline.
Gabriel Laberge
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d
to begin my project.
Thank you.
Gabriel Laberge.
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Hi,
I have finished my draft of the proposal and I submitted it the GSoC
website. Here is the link to the Google Doc document:
https://docs.google.com/document/d/1V7jXKQHucGJQ_q14AQr25uRAibMq4B7EWJtstKBjW1g/edit?usp=sharing
Your comments will be very useful.
Thank you.
Gabriel.
Also I wonder, why the smart executors make_prefetcher_policy and
adaptive_chunk_size are not present on the list of execution policies
[1]https://stellar-group.github.io/hpx/docs/html/hpx/manual/parallel/executor_parameters.html
Gabriel Laberge a écrit :
> Ok thank you very much.
> B
hey are tested on HPX for loop.
>
> Zahra
>
> On Tue, Mar 13, 2018 at 9:27 AM Gabriel Laberge
> wrote:
>
>> Hi,
>> in the article [0] http://stellar.cct.lsu.edu/pubs/khatami_espm2_2017.pdf
>> smart executors adaptive_chunk_size and make_prefetcher_distance are
&g
Hi,
in the article [0] http://stellar.cct.lsu.edu/pubs/khatami_espm2_2017.pdf
smart executors adaptive_chunk_size and make_prefetcher_distance are
tested as execution policies on for_each loops. I was wondering if
they also work as execution policies of HPX's for_loop.
Thank you.
Gabriel.
_
istic regression
would be a better choice since such a regression is made to work with
ordinal variables instead of nominal.
What do you think?
Gabriel Laberge.
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ndidates.
>
> Thanks,
> Zahra
>
> On Tue, Feb 27, 2018 at 7:39 PM Gabriel Laberge
> wrote:
>
>> Hi,
>> I think the last time I asked you this question I wasn't very clear so
>> will clarify. This could be due to the fact that i'm new to machine
Hi,
I have an idea for a machine learning project and I need some feedback.
In the article [0] https://arxiv.org/pdf/1711.01519.pdf A multinomial
regression is used to find the optimal chunk size and prefetching
distance. However, a multinonial regression is actually a
classification algori
rick Diehl a écrit :
> Hi Gabriel,
>
>> I wanted to know how you are able to find
>>> the Y vector which is the expected output of the regression for the
>>> input data? Am I understanding correctly?
>
> You have to run the code with x_1,x_2,...,x_n and measure the
fferent parameters.
>
> Thanks,
> Zahra,
>
> On Tue, Feb 20, 2018 at 7:51 AM Gabriel Laberge
> wrote:
>
>> Hi,
>> I had a questions on the way data was generated in order to train the
>> logistics regressions models talked about in [0]
>> https://arxiv.or
Hi,
I had a questions on the way data was generated in order to train the
logistics regressions models talked about in [0]
https://arxiv.org/pdf/1711.01519.pdf
For each of the training examples, the optimal execution
policies,chunk sizes and prefetching distance had to be found before
the t
Hi,
In the article
[0]https://arxiv.org/abs/1711.01519
It is written that a binary logistic regression was used to find the
execution policy and that a multinomial regression was used to find
the chunk size and the prefetching distance. Would there be a
possibility to use only one regression
Hi,
In have a question about the HPX smart executors talked about in this article
https://arxiv.org/pdf/1711.01519.pdf . I'm not sure to understand the
way the way the data is generated. As an example, let's say I want to
optimize a matrix multiplication task. The executor will use a
logistic
Hi,
I'm a student in physics engineering at École Polytechnique de
Montréal. I finish my bachelor degree this year.
Next year I intend to start a master's degree in Machine learning
applied to finite element methods. I'm currently interested in the
Google summer of code project "Applying Mach
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