[REDMINE1D-742] [RM-9196] [reliability] implement the alternative scikitlearn histogram gradiant boosting/random forest reliability Created: 11/Sep/24 Updated: 13/Jun/25 Resolved: 13/Jun/25 |
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| Status: | Done |
| Project: | 1D Redmine |
| Component/s: | None |
| Affects Version/s: | None |
| Fix Version/s: | None |
| Type: | Task | Priority: | Normal |
| Reporter: | Redmine-Jira Migtation | Assignee: | Redmine-Jira Migtation |
| Resolution: | Done | Votes: | 0 |
| Labels: | None | ||
| Remaining Estimate: | Not Specified | ||
| Time Spent: | Not Specified | ||
| Original Estimate: | Not Specified | ||
| Description |
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Created on 2024-09-10 10:23:08 by Didier Vibert. % Done: 100 include the code of random forest reliab in the amazed lib with a new param to chose between the two methods (usual MLDL and new random forest one) MR pylibamzed: https://gitlab.lam.fr/CPF/cpf-redshift/-/merge_requests/702 |
| Comments |
| Comment by Redmine-Jira Migtation [ 13/Jun/25 ] |
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Comment by Didier Vibert on 2024-11-15 15:55:48: As you said, it is based on python object serialization either with @pickle@ which is part of python standard library or @joblib@ which seems to be part of scipy. Thus both are available in the Euclid environment. |
| Comment by Redmine-Jira Migtation [ 13/Jun/25 ] |
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Comment by Jean-charles Meunier on 2025-01-13 16:25:50: |
| Comment by Redmine-Jira Migtation [ 13/Jun/25 ] |
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Comment by Jean-charles Meunier on 2025-05-26 16:17:20: and |
| Comment by Redmine-Jira Migtation [ 13/Jun/25 ] |
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Comment by Pierre-yves Chabaud on 2025-06-03 11:41:47: |