Yuhan Lin
Yuhan Lin
Has anybody gotten RLS to work on vim with no_std? I use coc.nvim with https://github.com/neoclide/coc-rls with the above settings and it still tells me that it can't build core.
Does the 1.0 backcompat guarantees apply to the generated PAC crates as well as svd2rust itself? If so, do we only care about backcompat for ARM PACs or for all...
In [`impl_dataset.rs`](https://github.com/rust-ml/linfa/blob/master/src/dataset/impl_dataset.rs#L454) we already have bootstrap aggregation code that produces sub-samples from a dataset. We just need a generalized way of fitting classifiers over the subsamples. We have the trait...
The work for that PR for ensemble learning ended up in #66 which didn't pan out for some reason. The current work is in #229.
I also ran the tests with BLAS backend and `white_small` passes, but `explained_variance_diag` still fails.
Is it possible to make functions like `coordinate_descent`, `duality_gap`, `variance_params`, and `compute_intercept` generic across 1D and 2D arrays? That way we won't need 2 sets of similar helper functions to...
Making `variance_params` and `compute_intercept` generic would be great.
Work continued in #238
This is only viable for algorithms where `Fit` and `FitWith` use the same algorithm, which isn't always the cases. Also some stats like cost aren't available even on estimated objects....
Putting debug info inside models (estimated or completed) is great for debugging purposes, but the Python ML libraries also print debug info in between fitting iterations, which is incredibly useful...