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
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<Ashutosh-codesAs> @zoq I have seen all this. Yes , These docs are very much helpful to me. But I am still confused on which issue should i start with to contribute?
<Ashutosh-codesAs> @zoq Thanks for your response. Can you please guide me which issue should I start to contribute and some references related to that issue. Any help would be very beneficial.
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<NabanitaDash[m]> What is the alternative in mlpack for `torch.flatten()`. `flatten_t_swish()` might not work.
<NabanitaDash[m]> I was writing an alexnet model for testing the adapative mean pool layer's copy and move constructor.
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<ShubhamAgrawal[4> multiple definition of `mlpack::math::erfinverse(double)'
<ShubhamAgrawal[4> I am getting this error but I defined it only in one place
<ShubhamAgrawal[4> ```
<rcurtin[m]> Shubham Agrawal if you have the function implementation in a header file and it is not templated, you'll need to mark the function `inline`
<ShubhamAgrawal[4> Oh
<ShubhamAgrawal[4> Can anyone tell me general pipeline overview of binding of any language?
<ShubhamAgrawal[4> I am thinking of doing MATLAB binding
<ShubhamAgrawal[4> But I am unable to understand the binding pipeline