[DOC] putting my thoughts together

Author: Leguark

docs/dev_logs/2025_May.md

@@ -5,7 +5,7 @@
   - [ ] Keep extracting code into modules and functions 
   - [ ] Posterior analysis for gempy 
 - [ ] Investigate speed
-- [ ] Investigate segmentation function
+- [x] Investigate segmentation function
   https://chatgpt.com/share/68172f53-4f7c-8000-8f42-205a033ed899
 - [ ] Create a robust api to make sure we do not mess up assigning priors to gempy parameters
 - [ ] do we need to use index_put or just normal indexing?
@@ -26,11 +26,12 @@
 - [x] GemPy posterior visualization
 - [x] Add proper thickness likelihood
 - [x] Segmentation function 
+- [ ] @Look-Bellow What would I want to have to do StonePark example as flowless as possible? 
 - [ ] Speed: Blocked by having a model that is not too big.
   - [ ] Time test for torch CPU
   - [ ] Time test for keops CPU
   - [ ] Time test for keops GPU
-  - [ ] Options and config presets
+  - [ ] Options and config presets                                                  
 
 ### Possible Design:
 - Geological Model
@@ -47,8 +48,10 @@
   - This would be useful to be able to visualize whatever the likelihood function represents independent of the probabilistic model.
   - 
 ### What would I want to have to do StonePark example as flowless as possible? 
-- A way to save the model already with the correct **nugget effects** instead of having to "load nuggets"
-- Easy pykeops setting 
-- Likelihood function plug and play
-- Some sort of pre-analysis if the model looks good. Maybe some metrics about how long it takes to run the model. 
-- Some sort of easy set-up for having a reduced number of priors
+1. A way to save the model already with the correct **nugget effects** instead of having to "load nuggets" (TODO in gempy)
+2. Likelihood function plug and play
+3. Some sort of pre-analysis if the model looks good. Maybe some metrics about how long it takes to run the model. 
+   1. Condition number
+   2. Acceptance rate of the posterior
+4. Easy pykeops setting using .env
+5. Some sort of easy set-up for having a reduced number of priors