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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< travis-ci>
saksham189/mlpack#32 (br - a26e58d : Saksham Bansal): The build is still failing.
< soonmok>
but the example code train model with the partition of the whole data (15 binaries, 3 continuous), and this model predict 3 continuous attributes with the classification value
< soonmok>
I think this model should use 21 attributes and predicts only classification value.
< soonmok>
I'm trying to run this code "DigitRecognizer.cpp". In this code, it import "mlpack/core/optimizers" but there is no optimizer in mlpack core directory. where can i find this ?
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< travis-ci>
saksham189/mlpack#34 (br - d77010d : Saksham Bansal): The build was fixed.
< rcurtin>
it should be pretty easy to adapt that code just for your use by switching the include file names
< rcurtin>
for thyroid_train.csv, I think that the dataset used there has the last three columns one-hot encoded, so taking the labels works okay there
< rcurtin>
zoq: do you know more about thyroid_train.csv? the copy in src/mlpack/tests/data/ doesn't have one-hot encoded labels, so maybe we should change it (or change the tutorial code)?
< rcurtin>
also, I think that the mlpack-bot is working for marking stale issues... but since I updated all the labels just a day or two ago, that counts as activity, so nothing will be marked as stale for a while
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< zoq>
rcurtin: Do I remove the unanswered label or will the bot do that for me?
< zoq>
rcurtin: soonmok: We should use another dataset.
< rcurtin>
zoq: hmm, I'm not sure on this one. we could have the bot remove 'unanswered' as soon as some response is given
< rcurtin>
but it might remove the 'unanswered' tag too early
< zoq>
Okay, so I guess one from the contribution team will remove the label.
< rcurtin>
yeah. let's see how the labels work as time goes on
< rcurtin>
my thought was, "I'll try to get something working first, instead of trying to get the labels perfect the first time"
< rcurtin>
so, I figure, as time goes on, we'll realize that some labels are more or less useful and we can adapt them as we go to come to a better solution
< zoq>
ah, that sounds like a good idea
< rcurtin>
I think I am basically done with the initial version of mlpack-bot
< rcurtin>
so now I can prepare to start debugging it for the next N years ;)
< zoq>
:)
< rcurtin>
uh-oh
< rcurtin>
well there's the first bug to debug :)
< zoq>
:)
< zoq>
at least we know that the bot can merge something :)
< rcurtin>
I wasn't planning on having the bot do the merging, since it might accidentally merge something where more discussion was wanted
< rcurtin>
just the approving
< rcurtin>
I had to give it permissions to the repository so its approvals would show up as though it was part of the members of the repository
< rcurtin>
but I think the likelihood of a bug where it modifies the code is very very small :)
< rcurtin>
ok... now it checks to see if it already approved...
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< na_>
Hi.
< zoq>
na_: Hello there!
< rcurtin>
na_: you must be ja_ from earlier :)
< rcurtin>
feel free to leave questions here if nobody is here; someone will answer eventually and then you can check the log at http://www.mlpack.org/irc/
< na_>
Okay, sure. Thanks!'
< na_>
I got my doubt clarified through my friend, though
< na_>
Thanks, again!
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< rcurtin>
na_: great!
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