verne.freenode.net changed the topic of #mlpack to: http://www.mlpack.org/ -- We don't respond instantly... but we will respond. Give it a few minutes. Or hours. -- Channel logs: http://www.mlpack.org/irc/
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< Lakshya>
Hello i am newbie and aspiring for GSOC 2017 , i have recently completed the course Machine Learning by Andrew NG from coursera and i really liked it .i want to improve in machine learning i would like to contribute to mlpack .PLease can someone get me started
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< kartik>
hello <zoq> finally the error is solved .. some member functions of the class were missing in the ne folder parameter.hpp. Replaced it with Bang Latest implementation
< kartik>
thanks a lot !
< kartik>
now as soon as the emulator runs it freezes up with emulator speed 3200%. is it getting trained? . what can i do?
< kartik>
i left it for 1/2 day still no response..
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< math_druid>
hi dev comm,
< math_druid>
i'm new to ml-pack and i want know from where should i start contributing towards the organisation
< rcurtin>
math_druid: hello there, have you seen this page?
< rcurtin>
that is probably a good place to get information on how to contirbute
< rcurtin>
*contribute
< math_druid>
rcurtin: Thanks a lot, i'll check this out.
< rcurtin>
sure, hopefully it is helpful :)
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< zoq>
kartik: Hello, once you start the emulator it waits for a client to be connected. Did you run both the emulator and the super_mario_bros executable?
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< kartik>
oh yes zoq i did.. loaded lua file with super mario nes game file.. saw mario fades away and the screen goes dull :D . the command log file had a line saying trained:no so i thought it is training ..
< zoq>
kartik: hm, okay, so I guess you did something like: ./supermariobros 127.0.0.1 4561
< kartik>
oops
< kartik>
after loading the lua script and rom file only it kind of freezes
< zoq>
yes, the emulator waits for a new connection.
< kartik>
i can see mario standing and then screen fades away
< kartik>
in ur github readme file.. imactually not clear with how to connect then
< kartik>
how to run the bangs mario cpp with emulator ..
< zoq>
The project should build the supermariobros executable which uses Bang's code to solve the mario task.
< kartik>
yes! it did
< kartik>
what next?
< zoq>
./supermariobros 127.0.0.1 4561 should start the evaluation process.
< kartik>
thanks ..
< kartik>
i ask u alot ..
< kartik>
:p thanks again
< zoq>
we are here to help
< zoq>
ah, it looks like the current code also uses the balancer, so there is one more thing you have to do:
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< zoq>
./balancer 4571 127.0.0.1 4561
< zoq>
./supermariobros 127.0.0.1 4571
< zoq>
note that the port changed
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< militia_>
Hey, I want to start contributing to ML-PACK. Can someone please tell me how to build ml pack on windows?
< zoq>
militia_: you are welcome, let us know if you run into any problems
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< math_druid>
Hi dev comm, i wanted to ask about how to install ml-pack on OSX ?
< rcurtin>
math_druid: I think that it's packaged in homebrew, you could just install it like that
< rcurtin>
or you can install from source using the instructions in the README
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< math_druid>
i tried using brew but it was giving me errors, i'll install it from the source. Thanks a lot
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< rcurtin>
there are some HMM fixes that I think should be released, so I think I'll backport 1b3f4010c and #828 to the mlpack 2.1.x branch and release mlpack 2.1.1
< rcurtin>
does anyone have anything else that I should backport?
< rcurtin>
I'll probably actually do the release tomorrow, I wanted to finish some other things today :)
< zoq>
Nothing from my end.
< rcurtin>
ok, great, that makes it easy then :)
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< travis-ci>
mlpack/mlpack#1670 (master - 1b3f401 : Ryan Curtin): The build passed.
< UtkarshGpta>
Hi! I am trying to resolve the issue #817 (Implement DTree copy constructor...)
< UtkarshGpta>
I've completed the Machine Learning course by Andrew NG on Coursera but I've never seen things like these
< UtkarshGpta>
I tried going through the DTree research paper (http://www.mlpack.org/papers/det.pdf) on MLPACK website, but I found it hard to understand.
< UtkarshGpta>
Can anyone guide me through the correct direction where I should head?
< rcurtin>
UtkarshGpta: maybe it is a good idea to look for a different issue; there are already three pull requests open for that particular issue
< UtkarshGpta>
Yeah, I saw that. But I thought it would be better if I start with easy bugs initially.
< rcurtin>
if you can provide a working PR with tests before anyone else does I'm happy to merge it. all of the other PRs are broken
< rcurtin>
it's a pretty straightforward data structures task, it shouldn't require in-depth knowledge of what a density estimation tree is or how it works (more than just that it is a tree structure)
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< zoq>
Would be nice to have a benchmark PR job :)