Results 13 issues of Jin Zhu

fix future bug from the update of Matrix

Matrix 1.4-2 will formally deprecate 187 coercion methods. More precisely, coercions of the form ```r as(object, Class) ``` where * 'object' inherits from the virtual class Matrix, is a traditional...

A [Wikipedia](https://www.wikipedia.org/) page for `abess` about: - algorithm - theory - new research results about `abess`

documentation
enhancement

It would be interesting to use `skscope` to address the clustering problem. Reference: - Lashkari, D., & Golland, P. (2007). Convex clustering with exemplar-based models. Advances in neural information processing...

documentation
enhancement
good first issue

It seems that the primal-dual active set (PDAS) algorithm is also a (potentially) powerful algorithm for sparsity optimization. It would helpfully enrich our support solvers if it is implemented. Reference:...

enhancement
good first issue

@chenpnn I find that the file `[utilities.py](https://app.codecov.io/gh/abess-team/skscope/commit/e7031f68f26eed1fd5301b2c511ca1936dbda380/blob/skscope/utilities.py)` is not well covered by python testing. @bbayukari Shall we our test also cover this utility file?

enhancement

Support a new algorithm "Newton Hard-Thresholding Pursuit". See literature: https://spiral.imperial.ac.uk/bitstream/10044/1/89243/4/19-026.pdf

enhancement
good first issue

Related literature about Fast Iterative Shrinkage-Thresholding Algorithm (FISTA): https://www.ceremade.dauphine.fr/~carlier/FISTA

enhancement
good first issue

Can our website cooperates with two following useful tool for conducting the examples in gallery: - [binder](https://mybinder.org/) - [JupyterLite](https://jupyterlite.readthedocs.io/en/stable/) Just like the website for `scikit-learn` https://scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html#sphx-glr-auto-examples-miscellaneous-plot-kernel-approximation-py

documentation
enhancement

It would be interesting to implement sparse regression models listed here: vector generalized linear and additive models

documentation
enhancement