History of changes to: Distributed methods for large scale regression
Date Action Change(s) User
Feb. 13, 2024, 4:20 p.m. Created 43 [{"model": "core.projectfund", "pk": 63405, "fields": {"project": 11609, "organisation": 2, "amount": 0, "start_date": "2018-04-16", "end_date": "2018-12-04", "raw_data": 179673}}]
Jan. 30, 2024, 4:24 p.m. Created 43 [{"model": "core.projectfund", "pk": 56243, "fields": {"project": 11609, "organisation": 2, "amount": 0, "start_date": "2018-04-16", "end_date": "2018-12-04", "raw_data": 156556}}]
Jan. 2, 2024, 4:15 p.m. Created 43 [{"model": "core.projectfund", "pk": 49056, "fields": {"project": 11609, "organisation": 2, "amount": 0, "start_date": "2018-04-16", "end_date": "2018-12-04", "raw_data": 134655}}]
Dec. 5, 2023, 4:24 p.m. Created 43 [{"model": "core.projectfund", "pk": 41809, "fields": {"project": 11609, "organisation": 2, "amount": 0, "start_date": "2018-04-15", "end_date": "2018-12-04", "raw_data": 102582}}]
Nov. 27, 2023, 2:14 p.m. Added 35 {"external_links": []}
Nov. 21, 2023, 4:38 p.m. Created 43 [{"model": "core.projectfund", "pk": 34515, "fields": {"project": 11609, "organisation": 2, "amount": 0, "start_date": "2018-04-15", "end_date": "2018-12-04", "raw_data": 62273}}]
Nov. 21, 2023, 4:38 p.m. Created 41 [{"model": "core.projectorganisation", "pk": 100690, "fields": {"project": 11609, "organisation": 13147, "role": "LEAD_ORG"}}]
Nov. 21, 2023, 4:38 p.m. Created 40 [{"model": "core.projectperson", "pk": 63426, "fields": {"project": 11609, "person": 16723, "role": "SUPER_PER"}}]
Nov. 20, 2023, 2:04 p.m. Updated 35 {"title": ["", "Distributed methods for large scale regression"], "description": ["", "\nAutomatically collected data in environmental modelling, energy management and medicine may involve very large data volumes while also requiring richly parameterized models for adequate analysis and prediction. If n is data set size and p the number of model coefficients, this project aims to find O(np) computational methods for estimating penalized regression models, which are susceptible to parallelization in cluster computing environments. The major challenge is to do this in a way that adequately estimates hyper-parameters alongside regression coefficients, and the project will investigate the feasibility of doing this using stochastic log determinant or log trace estimators in the context of marginal likelihood or similar criteria.\n\n"], "extra_text": ["", "\n\n\n\n"], "status": ["", "Closed"]}
Nov. 20, 2023, 2:04 p.m. Added 35 {"external_links": [47438]}
Nov. 20, 2023, 2:04 p.m. Created 35 [{"model": "core.project", "pk": 11609, "fields": {"owner": null, "is_locked": false, "coped_id": "40d4cadf-3e40-42b2-921f-d09bcff2ef49", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 62256, "created": "2023-11-20T13:43:26.669Z", "modified": "2023-11-20T13:43:26.669Z", "external_links": []}}]