Warning:  Due to planned infrastructure maintenance, the EBRAINS Wiki and EBRAINS Support system will be unavailable for up to three days starting Monday, 14 July. During this period, both services will be inaccessible, and any emails sent to the support address will not be received.

Attention: The EBRAINS Chat will down on Thursday, the 10th of July 2025 starting from 18.00pm CEST (my timezone) for up to 1 hour. 

Warning: The EBRAINS Drive, EBRAINS Bucket and EBRAINS Lab will down today, Wednesday, the 9th of July 2025 starting from 19:30 CEST (my timezone) for up to 1 hour.


Changes for page BluePyOpt

Last modified by abonard on 2025/06/13 16:05
From version 47.1
edited by abonard
on 2025/06/13 16:05
Change comment: There is no comment for this version
To version 15.1
edited by abonard
on 2025/04/10 15:11
Change comment: There is no comment for this version

Summary

Details

Page properties
Content
... ... @@ -9,4 +9,9 @@
9 9  **Level**: beginner(%%) **Type**: interactive tutorial
10 10  
11 11  This notebook will explain how to set up an optimisation of simple single compartmental cell with two free parameters that need to be optimised. As this optimisation is for example purpose only, no real experimental data is used in this notebook.
12 +=== [[Optimisation using the CMA evolutionary strategy>>https://github.com/BlueBrain/BluePyOpt/blob/master/examples/cma_strategy/cma.ipynb||rel=" noopener noreferrer" target="_blank"]] ===
12 12  
14 +**Level**: beginner(%%) **Type**: interactive tutorial
15 +
16 +This notebook will explain how to optimise a model using the covariance matrix adaptation (CMA) optimisation strategy. BluePyOpt includes two flavors of CMA: a single objective one and a hybrid single/multi objective one.
17 +