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/
gotadachi has quit [Quit: Leaving...]
gotadachi has joined #mlpack
govg has quit [Ping timeout: 256 seconds]
petris has quit [Remote host closed the connection]
petris has joined #mlpack
geek-2002Gitter[ has quit [Ping timeout: 244 seconds]
birm[m] has quit [Ping timeout: 244 seconds]
PratikPriyadarsa has quit [Ping timeout: 240 seconds]
Valliappan_CAGit has quit [Ping timeout: 240 seconds]
EL-SHREIFGitter[ has quit [Ping timeout: 240 seconds]
robotcatorGitter has quit [Ping timeout: 244 seconds]
KhizirSiddiquiGi has quit [Ping timeout: 244 seconds]
RoHitRushilGitte has quit [Ping timeout: 240 seconds]
birm[m] has joined #mlpack
chopper_inbound[ has quit [Ping timeout: 244 seconds]
geek-2002Gitter[ has joined #mlpack
himanshu_pathak[ has quit [Ping timeout: 244 seconds]
RishabhGoel[m] has quit [Ping timeout: 244 seconds]
PratikPriyadarsa has joined #mlpack
EL-SHREIFGitter[ has joined #mlpack
Valliappan_CAGit has joined #mlpack
kartikdutt18Gitt has quit [Ping timeout: 240 seconds]
ShikharJaiswalGi has quit [Ping timeout: 244 seconds]
AryamanBhagatGit has quit [Ping timeout: 244 seconds]
walragatver[m] has quit [Ping timeout: 240 seconds]
RudraPatil[m] has quit [Ping timeout: 244 seconds]
robotcatorGitter has joined #mlpack
siddhant2001Gitt has quit [Ping timeout: 244 seconds]
PulkitgeraGitter has quit [Ping timeout: 244 seconds]
abernauer[m] has quit [Ping timeout: 244 seconds]
KritikaGuptaGitt has quit [Ping timeout: 240 seconds]
KhizirSiddiquiGi has joined #mlpack
RoHitRushilGitte has joined #mlpack
TaapasAgrawalGit has quit [Ping timeout: 244 seconds]
PulkitgeraGitter has joined #mlpack
siddhant2001Gitt has joined #mlpack
chopper_inbound[ has joined #mlpack
RishabhGoel[m] has joined #mlpack
kartikdutt18Gitt has joined #mlpack
yashwants19[m] has quit [Ping timeout: 240 seconds]
MostafaNabiehGit has quit [Ping timeout: 244 seconds]
RakeshBhugraGitt has quit [Ping timeout: 240 seconds]
ShikharJaiswalGi has joined #mlpack
techsunny[m] has quit [Ping timeout: 244 seconds]
abernauer[m] has joined #mlpack
KumarArnav[m] has quit [Ping timeout: 244 seconds]
PranavReddyP16Gi has quit [Ping timeout: 244 seconds]
jonpsy[m] has quit [Ping timeout: 240 seconds]
ZanHuang[m] has quit [Ping timeout: 244 seconds]
AakashkaushikGit has quit [Ping timeout: 240 seconds]
KritikaGuptaGitt has joined #mlpack
aadarsh-asthanaG has quit [Ping timeout: 244 seconds]
TaapasAgrawalGit has joined #mlpack
AryamanBhagatGit has joined #mlpack
abernauer[m] has quit [Ping timeout: 244 seconds]
TanayMehtaGitter has quit [Ping timeout: 244 seconds]
Param-29Gitter[m has quit [Ping timeout: 244 seconds]
kunal12298Gitter has quit [Ping timeout: 240 seconds]
MostafaNabiehGit has joined #mlpack
KumarArnav[m] has joined #mlpack
techsunny[m] has joined #mlpack
RakeshBhugraGitt has joined #mlpack
ZanHuang[m] has joined #mlpack
AbdullahKhilji[m has quit [Ping timeout: 240 seconds]
PranavReddyP16Gi has joined #mlpack
PulkitgeraGitter has quit [Ping timeout: 244 seconds]
walragatver[m] has joined #mlpack
aadarsh-asthanaG has joined #mlpack
yashwants19[m] has joined #mlpack
himanshu_pathak[ has joined #mlpack
abernauer[m] has joined #mlpack
TanayMehtaGitter has joined #mlpack
RudraPatil[m] has joined #mlpack
kunal12298Gitter has joined #mlpack
AbdullahKhilji[m has joined #mlpack
jonpsy[m] has joined #mlpack
Param-29Gitter[m has joined #mlpack
PulkitgeraGitter has joined #mlpack
AakashkaushikGit has joined #mlpack
govg has joined #mlpack
govg has quit [Ping timeout: 240 seconds]
govg has joined #mlpack
ImQ009 has joined #mlpack
RajatVerma has joined #mlpack
< RajatVerma>
Hi, I'm Rajat. I know raw c++ (Competitive Programming) and now want to dig into Machine learning. I read many introductory articles in geeksForgeeks about what is ML, difference b/w ML and AI, what is data, information, supervised and unsupervised learning.
< RajatVerma>
Now, How should I start with ML ?
< RajatVerma>
Any course recommendations with ML in c++, and I use codeBlocks as my Main IDE
< RajatVerma>
But I also got running Visual studio (not VSC) for c++ development environment.
< zoq>
RajatVerma: I heard some good things about the coursera course from Andrew Ng.
< zoq>
RajatVerma: I also liked - "Machine Learning Engineering" by Andriy Burkov.
< RajatVerma>
The course from Andrew Ng, is it native in c++ ? No one really had an FAQ about that in his course page...?
< zoq>
RajatVerma: No, Python, but it's not about the language it's about the ML.
< RajatVerma>
More like theory based ? Like a kickStart >
< RajatVerma>
?
< zoq>
RajatVerma: Yeah, it covers a bunch of fundamental ML topics.
< RajatVerma>
There is also this 108 video series under name "Machine learning by Andrew Ng"
< RajatVerma>
I mean, You sure that I won't face issues due to lack of python knowledge. I'll enroll like right now then.
< zoq>
RajatVerma: Not sure, I guess you can checkout the first part and see if you like it or not.
< techsunny[m]>
<RajatVerma "There is also this 108 video ser"> It doesn't require python skills the course under name"Machine learning by Andrew Ng" is using octave and mathlab as ita tools for machine learning
< techsunny[m]>
I'd recommend that you choose something that interests you and familiarize yourself with the community.first get an brief idea that what's Machine learning all about i think it would be better for you. All the best🙂
< RajatVerma>
techsunny[m] I've been doing the same for past week or so. After college ours mainly. But I really want to get going, get started with coding and stuff....then I landed on MlPack's github page where there were many open issues and guess what, It requires c++. That's why I'm here
< RajatVerma>
hours*
< techsunny[m]>
<RajatVerma "techsunny I've been doing the sa"> So u already have prior knowledge of machine learning and its implementation?
< RajatVerma>
Nope. they didn't teach to actual code...but the thinking behind it I suppose.
< RajatVerma>
Have you been to mlpack's github page ? in the issues section ?
< techsunny[m]>
Alright mate well i will recommend you either to get an idea about ml or built it and start reaching good first issue on mlpack GitHub page
< techsunny[m]>
<RajatVerma "Have you been to mlpack's github"> Yes
< RajatVerma>
Yeah, what sort of background I should have to patch my "Good first issue" ?
< RajatVerma>
I know c++, And rough idea about ML.
< zoq>
RajatVerma: Depends on the issue, some of the issues require very little ML knowledge and are more on the C++ side.
< techsunny[m]>
Look as u can't explore the whole code of mlpack so i recommend you first get some prior knowledge of metaprogramming and templates and c++
< zoq>
RajatVerma: Some are more heavy on the ML side.
< RajatVerma>
Yes yes, metaprogramming was also mention in mlpack community's page
< techsunny[m]>
After that as per the problem you may learn
< RajatVerma>
which IDE works best with mlpack ?
< RajatVerma>
Codeblocks or Visual studio ?
< zoq>
RajatVerma: Haven't used any of the two, but I would go with the one you are most comfortable with.
< techsunny[m]>
<RajatVerma "Codeblocks or Visual studio ?"> Vs code would be better option acc to me
< RajatVerma>
OKAY, so here is the crux. get familiar with metaprogramming and templates, then I guess build mlpack and make some basic programs and then head over to solve bugs.
< techsunny[m]>
<RajatVerma "OKAY, so here is the crux. get f"> Yup
< RajatVerma>
Thank you so much ! I'll be back if I face any error, or when I'll push my first issue patch.
< RajatVerma>
;)
say4n has joined #mlpack
< say4n>
Weird, riot.im automatically left the channel on my behalf because of inactivity. :(
RajatVerma has quit [Ping timeout: 258 seconds]
RajatVerma has joined #mlpack
< Eddie-XiaoGitter>
Itz really weird! When inside a #pragma omp parallel for loop, the Adam optimizer must widen MSE from the second loop, while the first trained result is normal. Does Ensmallen support multithread?
< Eddie-XiaoGitter>
@matrixbot
RajatVerma has quit [Ping timeout: 244 seconds]
< Eddie-XiaoGitter>
Or ens::Adam optimizer and RNN<MeanSquaredError<>, HeInitialization> model should be manually released / reset?
< Eddie-XiaoGitter>
The thing is that still happens even after setting the thread number to just 1, and only running OK after commenting the "#pragma omp parallel for num_threads(iThreadNum)", weird.
RajatVerma has joined #mlpack
RajatVerma has quit [Ping timeout: 240 seconds]
< Eddie-XiaoGitter>
But I worked out a solution, divide all the loops into N batches, and each batch only execute exactly the thread numbers parallelly. And this problem can be solved.
< rcurtin>
RajatVerma: thanks for pointing that out! I forgot to do that as part of the deployment process
< rcurtin>
give me a little while, I'll ping when I fix it
< RajatVerma>
OKAY!
petris has joined #mlpack
petris has quit [Quit: Bye bye.]
petris has joined #mlpack
< shrit[m]>
rcurtin: where can I found the `mlpack_export.hpp` file?
< rcurtin>
isn't that auto-generated by CMake? it has been a very long time since I have seen that filename...
< shrit[m]>
I found that in CMake, but I never found that in reality
< rcurtin>
looks like it's generated in `src/mlpack/CMakeLists.txt`
< rcurtin>
but it will only show up in your build directory, under build/src/mlpack/
< shrit[m]>
Yes, but it is installed?
< rcurtin>
oh, hm, I would hope that it gets installed but I'm not sure
< rcurtin>
if you're finding that it doesn't get installed, want to add an install() command for it in CMake and submit a patch? :-D
petris has quit [Quit: Bye bye.]
< shrit[m]>
Actually it does
< rcurtin>
ahh, good
< shrit[m]>
We are safe,
petris has joined #mlpack
< rcurtin>
:)
petris has quit [Quit: Bye bye.]
< RajatVerma>
can anyone guide me how to build mlpack in windows, or can link me to a tutorial. I've been to getting started page, github. I already have cmake ready and running (Earlier I compiled a software called blender, that's why))