bernard-ng
9338d6eab8
feat: implement unified configuration loading and logging setup across entry points
2025-08-06 22:17:02 +02:00
bernard-ng
d7aa24a935
refactor: reorganize project structure and enhance model verbosity
2025-08-06 21:57:10 +02:00
ad8db43748
Add analysis and map of categories of dominant first names, surnames and middle names by province with GeoPandas ( #7 )
2025-08-06 08:37:36 +02:00
80496feb99
Added full name analysis with grouping by first name, last name and postname by region, gender and former provinces. Extraction via identified_name, co-occurrence heatmaps, filtering of simple cases only, and restructuring of regional mappings, co-occurrence, and heatmaps by first name, last name and middle name. ( #6 )
2025-08-05 21:15:06 +02:00
bernard-ng
f4689faf80
refactoring: add initial pipeline configuration and model classes
2025-08-04 16:12:25 +02:00
bernard-ng
19c66fd0ee
fix: dataype
2025-07-25 10:42:02 +02:00
bernard-ng
14fc302b28
fix: eda with latest dataset
2025-07-24 19:57:51 +02:00
bernard-ng
cbe3b0ecf2
feat: fix annotated datatype
2025-07-24 17:17:52 +02:00
bernard-ng
9f410ca674
refactor: fix logging
2025-07-24 14:27:54 +02:00
bernard-ng
326b854615
refactor: fix logging
2025-07-24 14:18:16 +02:00
bernard-ng
5e5e07c601
refactor: prompt engineering
2025-07-24 14:14:03 +02:00
bernard-ng
72c7007404
refactor: prompt engineering
2025-07-24 13:28:59 +02:00
bernard-ng
2b63c37f4e
refactor: optimization, no need to annotate entire dataset
2025-07-24 13:16:47 +02:00
bernard-ng
e2536c1899
refactor: include province and annotation pipeline
2025-07-24 12:53:51 +02:00
da7b09dab3
mapping of regions (educational provinces) into the current political provinces, then into 11 large former provinces to facilitate distribution ( #5 )
2025-07-23 23:41:30 +02:00
bernard-ng
eacbb94a48
experiment: using LLM for initial annotation
2025-07-18 22:49:45 +02:00
bernard-ng
78355eb1d1
feat: add analysis exploration
2025-07-18 09:33:57 +02:00
1aed22016a
Add functionality to display top middle names and surnames by region and sex with flexible filtering; ( #4 )
...
Implement region-based limiting for cleaner, more focused data views and visualizations
2025-07-03 11:47:23 +02:00
bernard-ng
efd97911d3
feat: create evaluation dataset
2025-07-03 10:16:52 +02:00
bernard-ng
0888d94596
feat: balanced dataset loading
2025-06-30 01:32:10 +02:00
bernard-ng
eb139ee09a
fix: artifacts saving and dataset loading
2025-06-24 21:49:03 +02:00
bernard-ng
fb95c72ab7
fix: lstm model
2025-06-24 09:40:42 +02:00
d8980ec328
Firstnames treatment ( #3 )
...
* feat: name processing added, first name/last name/post name extraction and display of top 10 first names
* [FIX] Fix path in __init__.py and modify name analysis
* [ENH] Group first names by gender, by region, by region and gender and then group first names common to both sexes by region
* Update requirements.txt
---------
Co-authored-by: Bernard Ngandu <31113941+bernard-ng@users.noreply.github.com >
2025-06-23 15:37:48 +02:00
bernard-ng
88bb2f207e
docs: add gender inference instructions
2025-06-21 10:53:02 +02:00
bernard-ng
25f1df46d8
feat: improve inference for logreg model
2025-06-21 10:35:48 +02:00
bernard-ng
a46a5f7924
feat: improve inference for logreg model
2025-06-21 10:34:26 +02:00
bernard-ng
33d096f8ff
fix: dataset path
2025-06-20 16:48:03 +02:00
bernard-ng
b20f96a450
fix: dependencies
2025-06-20 16:45:54 +02:00
c829cac51c
Add exploratory data analysis ( #1 )
...
* feat: name processing added, first name/last name/post name extraction and display of top 10 first names
* [FIX] Fix path in __init__.py and modify name analysis
---------
Co-authored-by: Bernard Ngandu <31113941+bernard-ng@users.noreply.github.com >
2025-06-20 16:41:06 +02:00
bernard-ng
1d58e3ccc4
feat: add gender base models architectures
2025-06-20 16:38:48 +02:00
bernard-ng
f454ba7938
Initial commit
2025-06-19 18:45:11 +02:00
bernard-ng
Amaury Cansa