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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< zoq>
SagarUdasiGitter: Hello and welcome, you are not too late :) Let us know if there is anything that you feel needs clarification.
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< GauravKumarGitte>
Hello Everyone, I am Gaurav Kumar, a Sophomore in Electronics and Communication at SVNIT, Surat. I am a bit new to ml/dl and have worked with basic algorithms and tried their implementation from scratch in python. I went through project submissions for GSoC 2020 and they feel like the ones I want to do myself. So, I'll start with the env setup today and will try to understand the source code and structures.
< GauravKumarGitte>
Hopefully, I can learn greatly and be an active part of your community.
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< pranav-mscGitter>
hello everyone,My name is Pranav Kotgire and i am from IIIT Gwalior.
< pranav-mscGitter>
(edited) ... IIIT Gwalior. => ... IIIT Gwalior.And i have been in ml/dl since 6 months,i know all the maths and the theoretical knowledge and a decent knowledge about different neural network architecture.I am also having decent knowledge of regression,classification problem,etc.After completing some courses and by clearing my concepts by making some projects.Now i am really fascinated for open source
< pranav-mscGitter>
contributions and i am completely new for contributions .Very grateful to be here and ready to work on issues and start contributing.
< pranav-mscGitter>
hello everyone,My name is Pranav Kotgire and i am fcomputer science student from IIIT Gwalior.And i have been in ml/dl since 6 months,i know all the maths and the theoretical knowledge and a decent knowledge about different neural network architecture.I am also having decent knowledge of regression,classification problem,etc.After completing some courses and by clearing my concepts by making some projects.Now i
< pranav-mscGitter>
am really fascinated for open source contributions and i am completely new for contributions .Very grateful to be here and ready to work on issues and start contributing.
< pranav-mscGitter>
(edited) ... am fcomputer science ... => ... am a computer science ...
< AyushSingh[m]>
You can then build mlpack from source. After it, I would suggest going through good first issues so that you guys can start contributing.
< shrit[m]>
Do you have an idea how to do that? otherwise, I am looking to specify the build for a specific branch, I am still not sure how to do it
< ABHINAVANAND[m]>
Hi, I am Abhinav from India. I am a 4th year undergrad pursuing Mathematics and Computing from IIT Guwahati. I am interested in applying for Gsoc in mlpack. I have been contributing for the past month. I have gone through the ideas page and found the idea of Implementation of ANN modules very interesting.
< rcurtin[m]1>
shrit just let me know which packages you need on which build host and I can install them 👍
< shrit[m]>
@ryan thanks, all the packages are here for aarch64 sudo apt-get install -y --allow-unauthenticated xz-utils g++ gcc-arm-linux-gnueabi g++-arm-linux-gnueabi gfortran-arm-linux-gnueabi qemu-system-arm
< shrit[m]>
I think this will cover arm32 and arm64
< shrit[m]>
Considering the nodes, I think the best is to have on all nodes, otherwise I do not have any particular choice
< rcurtin[m]1>
maybe can you restrict the build to just one for now? I'll install the packages on 'master'
< shrit[m]>
Of course, I just do not want to bother you in the next week to install the next one, the more important are the aarch64 for now.
< shrit[m]>
many thanks
< zoq>
shrit[m]: Installed everything on polar and restricted the "aarch64" job to run only on polar for now.
< zoq>
shrit[m]: The option is called "Restrict where this project can be run" in the job config.
< shrit[m]>
Thanks I can see the modifications
< shrit[m]>
I have started a build let us see if everything goes fine
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< shrit[m]>
@zoq thanks it seems that mlpack is compiling perfectly on jenkins. However, I forget to include docker in my list of deps to install, would it be possible to added rapidly? sorry for bothering you
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< RyanStoutGitter[>
quick question. I was looking at the KFN/aKFN classes. (I'm guessing there isn't, but is there a way to get a point furthest from more than one query point?). So for example, give it 5 points and find the point that is furthest (summed distance to each) from those 5 points? Thanks!
< RyanStoutGitter[>
or is there a good way to implement it building on mlpack