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/
< chopper_inbound[> Hey zoq, I tried to vectorize the inputs (`input` is of type `arma::mat` and each column in it a flattened view of individual inputs of matrix type) but in the calculation of `Forward` function, the details about individual matrix dimension is required. Then I tried to add argument for input dimensions in the constructor but again it doesn't look quite promising :( I am working on #2375
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< jenkins-mlpack2> Yippee, build fixed!
< jenkins-mlpack2> Project docker mlpack nightly build build #695: FIXED in 7 hr 24 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/695/
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< jeffin143[m]> zoq (@freenode_zoq:matrix.org): Hi zoq :
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< jeffin143[m]> Zoq : I thought it again about the ml models which is like decision tree or linear regression , we never plot the intermediate accuracy , we always plot it for Ann since it is learned over time so it is ok if we don't have it for dt or lr , for getting accuracy
< jeffin143[m]> BUT YES, we should definitely do it for kfoldcv to print the intermediate accuracy so that we come to know that it how it has grown
< rcurtin> the dealgood build system has gone down, I'm working with support to get it back online (this one is run by Georgia Tech), but, because of the coronavirus, they don't go to the server room very often
< rcurtin> I've removed dealgood from the nightly git checkout jobs on ci.mlpack.org for now
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< jeffin143[m]> Kumar Arnav: hi, there is one hot encoding which you can use to preprocess categorical
< jeffin143[m]> Data
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< jeffin143[m]> Also you can optionally map them, using NormaliseLabels
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< KumarArnav[m]> jeffin143: Thanks, could you also suggest something for oversampling or undersampling. Also, how can we achive sklearn pipeline type functionality in mlpack.
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< rcurtin> oh wow, I completely forgot about the video chat
< rcurtin> too heads-down in what I was working on today
< rcurtin> luckily I remembered 5 minutes beforehand :)
< shrit[m]> @rcurtin seems there is a password to connect to the video chat
< rcurtin> right, check the email I just sent :)
< rcurtin> it was suggested that I add it for security
< rcurtin> it's just the name of the library :)
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< GauravSinghGitte> Hi, @zoq kindly have a look at [#193](https://github.com/mlpack/ensmallen/pull/193) if you get a chance. Thanks.
< zoq> GauravSinghGitte: Ahh, yes, will take a look right now.
< jeffin143[m]> Zoq: how should I specific no of epoch I want to run my model ???
< jeffin143[m]> Specify*
< zoq> jeffin143[m]: For training?
< jeffin143[m]> Yes
< zoq> jeffin143[m]: optimizer.MaxIterations() = numberOfEpochs; should work, maybe include the BatchSize as well.
< rcurtin> I think maybe it needs to be numberOfEpochs * trainingData.n_cols (or similar)
< rcurtin> since the maximum iterations doesn't refer to epochs
< rcurtin> (maybe I misunderstood the context, I haven't been following the conversation :))
< zoq> no, you are right
< jeffin143[m]> Isn't it maxiteration/cols ??
< jeffin143[m]> Sry net issue , didn't see rcurtin message
< HimanshuPathakGi> Hey rcurtin in Windows build we use static linking(.lib) of libraries or dyanmic linking(.dll) or both.
< HimanshuPathakGi> *dynamic
< rcurtin> I would imagine it would be better to use static linking, but I'm not sure what it currently does in Azure Pipelines
< rcurtin> probably imitating what's going on there is best? I think that's in `.ci/windows-steps.yaml` (or a file named like that)
< rcurtin> but the conda environment is different...
< HimanshuPathakGi> Right now it appears to use both and create confusion that's why causing erro I think
< HimanshuPathakGi> *error
< HimanshuPathakGi> In conda build
< rcurtin> ahhh, yeah, that could be part of the problem
< rcurtin> honestly I still haven't had a chance to take a look at it; I'm not up to date with what the current errors are
< HimanshuPathakGi> No worries Right now it is failing with multiple errors I will share if I got any intuition over this :)
< rcurtin> :)
< rcurtin> someday we will get it to work... :)
< jeffin143[m]> New GCC version released : https://gcc.gnu.org/gcc-10/porting_to.html
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< HimanshuPathakGi> rcutin I was able to find the problem. So problem is that we want to build mlpack with Release build type but the confguration of Visual Studio is set for Debug build type. I don't know How to change setting Visual Studio configuration in conda forge. Do you have any clue??