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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< jenkins-mlpack2> Project docker mlpack nightly build build #610: STILL UNSTABLE in 3 hr 1 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/610/
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< metahost> zoq: Marcus, will I also add docs for the optimiser to illustrate using it with multiple single objective functions (ArbitraryFunctionType).
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< Bhavya2> While contributing to mlpack, is an install from source necessary? Or is it okay if we use the normal package manager and install libmlpack-dev?
< zoq> Bhavya2: If you like to contribute something at some point, you should build it from source.
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< tejasvi[m]> freenode_gitter_kartikdutt18[m]: I've added tests for #2127 (padding support for pooling layers)
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