Comments (2)
We handled imputers in our catalog and experiments for CARLA by removing these samples. Our datasets were, luckily big enough.
I think most of our recourse methods cannot handle missing data, such that imputers have to be dealt with before.
At the moment we don't have a best practice strategy to handle them, maybe I would start with techniques mentioned in https://medium.com/fintechexplained/what-are-imputers-in-data-science-b72f8308322b
from carla.
Thanks @Philoso-Fish , I actually handled them particularly at the Data object. As well exposing the 'fitted' methods for later usage, such getting counterfactuals for later inferences. It worked here but I'm still struggling to generalize it as an skeleton or something like that.
Thanks also for the reference. I'll follow it and growth a little bit, unfortunately not as much as our current real dataset / business problem. :-)
Btw, congratulations for CARLA initiative of benchmarking recourse methods.
from carla.
Related Issues (20)
- Discrepancy in counterfactual indexing for CLUE generator HOT 12
- Wachter et al. Couterfactuals HOT 6
- Update pip install carla-recourse HOT 1
- Give error message when a recourse method used with wrong backend.
- CCHVAE's support for categorical features HOT 5
- Import fails with `protobuf>3.20.x` HOT 8
- `test_cfmodel.py` cause segmentation fault on MacOS HOT 1
- max_iter in growing_spheres_search HOT 3
- immutable features for adult dataset HOT 2
- Add encoding_method functionality HOT 4
- Small errors with new REViSE, CCHVAE, and CRUD code HOT 5
- Update experimental_setup.yaml
- Update Quickstart in the README HOT 1
- Delete carla/recourse_methods/catalog/focus/tree_model.py
- Update CCHVAE hyperpamaters in notebooks/how_to_use_carla
- Update benchmarking example HOT 1
- Custom loss function
- How to Provide Constraints on Counterfactual Generation
- Running FACE with no immutable features
- Negative `lambda` in Wachter method?
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from carla.