Update Main#144
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merge brainiac into dev
environment setup for ALPS.
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
construction of Q_prior and Q_conditional
- gst_small model is now broken, need to check why the internal/external theta doesn't match with other ST models...
-> Bug arose in numpy/cupy 2.4
-> Bug arose in numpy/cupy 2.4
- added saving option for precision matrices
- Implemented memory improvement in the selected inversion using scipy.sparse-like solver
…ties This PR address the addition of new statistical capabilities to DALIA. Most of them related to post-processing steps (i.e. after the optimization), but also contains new statistical models, new solver capabilities, and new statistical modeling capabilities. Detailed comments: - This PR makes a fundamental structural difference in the way the internal and external scales for the hyper-parameters are handled. In more details, the Model() classes have getters and setters that automatically (implictly) perform the conversion. - This PR also adds some integration testing. These integration tests are not exhaustive of DALIA's modelign capabilities but should catch major failures n code modification. Notes : - This PR is huge (71 commits) and summarize several completely parallel developments (new stats model, new modeling capa, performances, testing, etc). Hence, I use a `Merge` instead of `Rebase` to keep track of changes coming from this huge diff.
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