ChanServ changed the topic of #mlpack to: "mlpack: a fast, flexible machine learning library :: We don't always respond instantly, but we will respond; please be patient :: Logs at http://www.mlpack.org/irc/
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< Mulx10>
zoq: thanks for the reviews.
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< favre49>
zoq: rcurtin: How long does testing an implementation usually take?
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< zoq>
favre49: difficult to put a number on it, sometimes it takes less time as the actual implementation sometimes it takes more time.
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< braceletboy>
zoq: In the mlpack's benchmarking frame work, why is the knn benchmark named allknn?
< braceletboy>
Does that 'all' have any significance
< zoq>
braceletboy: allknn was the old name, mlpack_allknn was renamed to knn in mlpack 3.0. Never thought about renaming the benchmark script as well.
< braceletboy>
It
< braceletboy>
It's okay if I rename it right
< braceletboy>
To avoid confusion
< zoq>
sure
< braceletboy>
Okay. Thanks
< Hemal>
Hi zoq, I was going through the available codes for NEAT. I found one on Kenneth O. Stanley's Website: http://nn.cs.utexas.edu/?neat-c
< Hemal>
From our last chat, you had mentioned "The specification isn't correct", what does that mean ?
< zoq>
Hemal: At some point in the learning process the model dosn't evolve anymore, so there is some issue in the Reproduce method, perhaps IsSameSpecies is wrong.
< Hemal>
Ok I'll have a look at the code
< Hemal>
And should I explore the codes available on the websites that I mentioned?
< zoq>
Hemal: That might be a good starting point, also we could use that at some pint for testing as well.
< Hemal>
Ok :)
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< Hemal>
zoq: I ran the code from the Website that I mentioned. I ran it 6 times(for XOR). The code executed successfully only twice. Other 4 times, the cursor was blinking on the terminal. Do you think that the original NEAT would have some flaws and perhaps the advanced version of NEAT would have solved them?
< braceletboy>
@zoq
< zoq>
Hemal: Not sure, maybe the defaults aren't the best?
< braceletboy>
In one of the benchmarking scripts, I saw that the predictions were made on the training data itself in the absence of test data
< braceletboy>
Should I do this or should not do any prediction at all when test data is not available
< braceletboy>
in the new benchmarking scripts?
< zoq>
braceletboy: Hm, Ideally someone would pass a test file.
< zoq>
braceletboy: I don't mind to use the training set if no test set was passed.
< braceletboy>
Yeah I thought the same but in the pull request you opened I found such a file. So, wanted to double check.
< braceletboy>
zoq: I think I will go with the former. If someone wants to include the predictions also in the timing metric, he/she will have to give a test file
< zoq>
agreed
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< favre49>
zoq: Alright, thanks
< favre49>
Hemal: The python implementation of NEAT works fine
< favre49>
I also found it the best starting point for understanding how to code NEAT as compared to SharpNEAT and other libraries
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< Hemal>
Thanks ! @favre49
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< Hemal>
Thanks! @favre
< favre49>
Glad to help :)
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< KimSangYeon-DGU_>
rcurtin, zoq, ShikharJ: I submitted my draft for GSoC 2019. It would be really great if I get your opinions about it. Can you please have a look at it, if you have a chance?
< KimSangYeon-DGU_>
Thanks
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< rcurtin>
KimSangYeon-DGU_: yes, I'd like to take a look tonight. I would have looked yesterday but I didn't see it on the list of draft proposals
< rcurtin>
in any case I can't remember who has asked me to review proposals so I am just selecting them semi-randomly and reviewing :)
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< Im>
Hello! I want to contribute to the RL project.
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< bhavya01>
rcurtin: I have submitted a proposal on the GSOC website for mlpack-translator project. Please let me know your comments when you get some time.
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< Kd_>
Hey can anybody tell me where should I draft my proposal for review thank u in advance
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< rcurtin>
bhavya01: sure, I'll try and take a look if I have time
< big_>
I can't figure out why I'm getting a Mat() out of bounds error
< big_>
my data is all there, and I believe the dimensions are correct as well
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< Im>
I dont understand. On the github Ideas page, since the ideas are already given, what do we have to state in the proposal, the complete algorithm?
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< rish>
i want to know that what do you expect from me ?
< rish>
I mean do i need to propose something on machine learning or anything related to C++
< zoq>
but yeah this is a C++ machine learning library
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< big>
lol i hope a full NEAT implementation gets merged this summer
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< big>
has anyone taken it up yet?
< zoq>
big: we received some applications for the project
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< saksham189>
zoq: I had submitted my proposal last week and was wondering if you could give me some feedback when you get time.
< zoq>
saksham189: sure
< zoq>
saksham189: hm, what's the title of the application?
< saksham189>
Implementing Essential Deep Learning Modules
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< zoq>
okay thanks
< akfluffy>
notifications
< akfluffy>
oops sorry new IRC client
< zoq>
no worries
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< akfluffy>
I think the (submat) error has something to do with my data, because I've tried every combination of layers, rho, etc that I can and all of them do the same thing
< akfluffy>
Just not entirely sure what, because mlpack doesn't catch it
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< Shubhangi>
Is it possible to create own custom layer in mlpack?