linfa
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rust-ml
A Rust machine learning framework.
An attempt to add target names per #70. Not really sure what to do with lines 83-98 in iter.rs. Any guidance there would be appreciated. Line 83 was just added...
According to [these results](https://github.com/rust-ml/linfa/issues/228#issuecomment-1304608470), all ICA benchmarks are noticibly faster with BLAS than without, though this is less severe at higher sample sizes. We should profile the non-BLAS benchmark runs...
The `iai_fit_transform_tf_idf`, `iai_zca_bench`, and `iai_cholesky_bench` benchmarks take noticeably more cycles with non-BLAS builds compared to BLAS builds. This is especially bad for `iai_fit_transform_tf_idf`, which takes around 6 times as long...
It might be useful to have named samples for debugging and exploring the data, e.g. identifying outliers. Comments: - I have my doubts with the method `sample_names` (and `feature_names`) returning...
Does anybody have this weird error with rust-analyzer that does not recognize linfa types?  This happens with linfa `0.7`, rust 1.78 and latest vscode. No issues with any other...
The current release, `linfa 0.7` relies on `ndarray-linalg 0.15` which pulls `intel-mkl-src 0.7`, the download feature of which does not work anymore (see https://github.com/rust-math/intel-mkl-src/issues/103). As stated in [this comment](https://github.com/rust-math/intel-mkl-src/issues/114#issuecomment-2111903024) downstream...
linfa-reduction-0.7.0 Pca without the method of 'components' and 'mean', but the github source code have the two methods. **Here is the code download from the crates.io by vscode.**  **Here...
Memory is limited and using swap is painfully slow to fit massive amounts of data. There is discussion of incremental fitting in https://github.com/rust-ml/linfa/issues/8 years ago but I cannot find incremental_fit...
