mihirparadkar

It looks like the only issue is with defining variables in a list starting with an empty list and `append`-ing. Would you agree with this description of the issue, and...

https://github.com/madeleineudell/LowRankModels.jl has implementations of several multivariate loss functions for ordinal and categorical variables (OvALoss, BvSLoss, etc.). Those implementations should probably be moved over here since they're more versatile than only...

I'd like to start implementing the multi-category loss functions like MultinomialLoss, Multiclass SVM, and One-vs-all, but I'm not sure what the convention should be or how they play with LabelEncodings...

I've started writing code to do this for arbitrary margin losses, but I think the loop for explicit summation is necessary. I don't think the clever tricks in OrdinalHingeLoss generalize...

I opened the PR, but even with ~5 levels, the OrdinalMarginLoss(HingeLoss(), 5) is 6 times slower than an ordinary MarginLoss when applied to an array. I think loop unrolling using...

Hi! I want to first clarify the intent of the question. Let's say `A` is a matrix (or DataFrame/sparse matrix) of `m` rows by `n` columns. The GLRM (assuming real-valued...

Is it possible for the package to use TensorOperations' @tensor when possible? It seems like the difference between @tensor and @einsum is that @einsum allows pairs of indices on the...

@nkovela1

Hi @sayantanghosh The torch