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<Aakash-kaushikAa> Awesome, I will be active for this period so i can be of help.
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<NabanitaDash[m]> so, I can run examples/ notebooks in mlpack binder but i was trying to setup it up locally. I used xeus-cling and setup my C++14 kernel in jupyter notebook but I am facing ``file not found`` errors.
<NabanitaDash[m]> ```
<NabanitaDash[m]> #include </home/naba/dev/mlpack/src/mlpack/core.hpp>
<NabanitaDash[m]> * ```
<NabanitaDash[m]> #include <mlpack/methods/logistic_regression/logistic_regression.hpp>
<NabanitaDash[m]> I am specifically asking about cpp jupyter notebooks not othe rbindings
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<zoq[m]> <NabanitaDash[m]> "so, I can run examples/ notebook..." <- Did you use https://github.com/mlpack/examples/blob/master/scripts/jupyter-conda-setup.sh to set up the local environment?
<NabanitaDash[m]> nope, thanks!
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<zoq[m]> Let me know if you run into any problem, but this is what David put together and also used to set up a local environment based on conda.
<zoq[m]> That reminds me can someone approve - https://github.com/mlpack/examples/pull/190 so we can use binder again that would be great.
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<NabanitaDash[m]> alright!
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<AnoushkaJha[m]> Hello everyone!
<AnoushkaJha[m]> I came across the organization while browsing through GSoC'22 Organizations' List and was really intrigued by the proposed project ideas.
<AnoushkaJha[m]> As a backdrop, I have a fair experience in using C++ and eager to learn anything new that can help me contribute to this organization.
<AnoushkaJha[m]> My name is Anoushka Jha and I am extremely excited to be a part of this community.
<AnoushkaJha[m]> Any ideas on how to get started would be really appreciated ! (Downloading MLpack was the first step I took)
<zoq[m]> Hello Anoushka Jha glad you like the ideas. Not sure you have seen it already but we have a "Getting Involved" section on the community page (https://www.mlpack.org/community.html) and we also have a dedicated GSoC page (https://www.mlpack.org/gsoc.html), that should help you get started.
<AnoushkaJha[m]> Ohkay zoq,I had checked the first one out .Will see the second one too.Thanks✨
<EshaanAgarwal[m]> Hi ! When i was trying to run lstm_electricity_prediction file of example repository. I got the following error
<EshaanAgarwal[m]> * following error Command - make Error : undefined reference to `typeinfo for boost::archive::archive_exception'
<NabanitaDash[m]> have you built mlpack with boost?
<NabanitaDash[m]> which version of boost are you using?
<EshaanAgarwal[m]> NabanitaDash[m]: i did . Let me check the version.
<EshaanAgarwal[m]> NabanitaDash[m]: 1.71.0
<NabanitaDash[m]> So, that is fine
<NabanitaDash[m]> have you included serialization and other boost components?
<NabanitaDash[m]> is the mlpack built successful?
<EshaanAgarwal[m]> <EshaanAgarwal[m]> "Hi ! When i was trying to run..." <- on quick googling , it mentioned that i must include boost serialisation library in make file corresponding to lstm_electricity_prediction
<EshaanAgarwal[m]> NabanitaDash[m]: yes it is ! i guess. 😅
<NabanitaDash[m]> Have you installed the following libraries such as ``libboost-math-dev libboost-test-dev libboost-serialization-dev``
<EshaanAgarwal[m]> NabanitaDash[m]: Yup ! I checked this just now.
<NabanitaDash[m]> yesterday, i ran the example and it worked fine for me.
<EshaanAgarwal[m]> <EshaanAgarwal[m]> "Hi ! When i was trying to run..." <- Ok ! I just changed :
<EshaanAgarwal[m]> Line no 9 of "examples/lstm_electricity_consumption/Makefile" to LIBS_NAME := armadillo mlpack boost_serialization and now it works.
<zoq[m]> > Line no 9 of "examples/lstm_electricity_consumption/Makefile" to LIBS_NAME := armadillo mlpack boost_serialization and now it works.
<zoq[m]> > <@eshaanagarwal:matrix.org> Ok ! I just changed :
<zoq[m]> Yeah, so if you use the latest master branch instead of the latest stable version, you don't need to link against `boost_serialization` anymore. It was replaced with cereal, which is header only.
<EshaanAgarwal[m]> zoq[m]: Ok ! Correct me if i am wrong but we run examples from the stable version right ? if not then what commands should i use to run it in the desired way ?
<NabanitaDash[m]> you can run each file separately by creating an instance and running that instance
<zoq[m]> So, the conda package which we use for binder, is not the latest stable version but a version which packages the master branch.
<zoq[m]> The CI system also builds the master branch: https://github.com/mlpack/examples/blob/master/.ci/linux-steps.yaml
<zoq[m]> has all the steps
<zoq[m]> However since the API didn't change you can build against the master branch and the latest stable version.
<EshaanAgarwal[m]> <zoq[m]> "So, the conda package which we..." <- Thank you very much ! It's working.
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