rcurtin_irc changed the topic of #mlpack to: mlpack: a scalable machine learning library (https://www.mlpack.org/) -- channel logs: https://libera.irclog.whitequark.org/mlpack -- NOTE: messages sent here might not be seen by bridged users on matrix, gitter, or slack
<ShubhamAgrawal[7> <heisenbuugGopiMT> "> <@heisenbuug-5a298898d73408ce4..." <- Have you seen it?
<ShubhamAgrawal[7> Is there any way to see if we are in training mode or evaluation mode during forward pass in a specific layer?
NabanitaDash[m] has joined #mlpack
<NabanitaDash[m]> Ah, I see. thank you! So, as I said I was trying the python-binding , I get an error:... (full message at https://libera.ems.host/_matrix/media/r0/download/libera.chat/f9bbdbff1b490b74fe0a954a37b9db310e4ff37e)
<NabanitaDash[m]> * Ah, I see. thank you! So, as I said I was trying the python-binding , I get an error:... (full message at https://libera.ems.host/_matrix/media/r0/download/libera.chat/6b54f920afbdf8193d9ec840ddee7b654ee0f37e)
<zoq[m]1> <ShubhamAgrawal[7> "Is there any way to see if we..." <- Yes, you can check the dropout layer for an example - https://github.com/mlpack/mlpack/blob/802b6826b26f65abdf8436e22f94d503066ff908/src/mlpack/methods/ann/layer/dropout_impl.hpp#L88
<zoq[m]1> <AshvithShetty[m]> "I've tried finding some of..." <- Nothing special about the build flags something like g++ test.cpp -lmlpack -larmadillo should work just fine