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  • rvasav26
  • Opened 
    19 days ago
  • #252

This issue concerns porting code from https://github.com/cajchristian/PCovC to scikit-matter. Currently, list of tasks is given here: https://github.com/cajchristian/PCovC/issues.
  • rosecers
  • Opened 
    on Apr 9
  • #243

While working on #236, I noticed that scikit-learn version 1.6.0 introduces some breaking API changes for us. I limit the version for now but somebody with deeper insight in scikit-matter should try resolve ...
dependencies
  • PicoCentauri
  • Opened 
    on Jan 28
  • #237

I had a notebook in the atomistic-cookbook that does from skmatter.sample_selection import DirectionalConvexHull And this command is failing with the error: Traceback (most recent call last): File ...
  • DavideTisi
  • 4
  • Opened 
    on Jan 19
  • #235

Small fix needed to make sure the docstring renders correctly https://scikit-matter.readthedocs.io/en/latest/references/clustering.html
  • rosecers
  • Opened 
    on Oct 16, 2024
  • #233

The new ase release break some example notebooks. The ase dependency comes from one roy dataset (see https://github.com/scikit-learn-contrib/scikit-matter/blob/bc76938d481fe41a7279b5d79ce07ae6671924e5/src/skmatter/datasets/_base.py#L121) ...
dependencies
good first issue
  • agoscinski
  • 2
  • Opened 
    on Jun 12, 2024
  • #231

This is a revive of the draft PR https://github.com/scikit-learn-contrib/scikit-matter/pull/86 (please look into it for further information) because I think it is worth to look into this more given that ...
enhancement
low-priority
  • agoscinski
  • 1
  • Opened 
    on Aug 24, 2023
  • #216

Hello when I replaced the code snippets in PR https://github.com/scikit-learn-contrib/scikit-matter/pull/201 I used sphinx doctest to have them in the docs/src, but in PR https://github.com/scikit-learn-contrib/scikit-matter/pull/202 ...
  • agoscinski
  • 1
  • Opened 
    on Aug 14, 2023
  • #208

Detected by @PicoCentauri Problem import numpy as np from skmatter.feature_selection import FPS np.random.seed(0) n_samples = 10 n_features = 15 X = np.random.rand(n_samples , n_features ) X[:, 3] = ...
bug
  • agoscinski
  • Opened 
    on Aug 8, 2023
  • #206

I m going through a lot of the estimators to run the check_estimators for scikit-learn-contrib, and am noticing the we don t validate X and y matrices consistently in every function. We should circle back ...
enhancement
good first issue
help wanted
  • rosecers
  • 2
  • Opened 
    on May 17, 2023
  • #195
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