Comments (2)
We're currently working on other developments but if you could point us to a manuscript on this -- as well as confirmation that the MAE satisfies the loss function properties outlined in, e.g., Dudoit and van der Laan (2005) -- we can get it on the to-do list. A PR would also be welcome, and we'd be happy to help in that process.
from sl3.
Hi @kartechbabu and @nhejazi, I believe the MAE identifies the conditional median of the outcome, given covariates.
@kartechbabu, could you please give us a little detail about your problem in terms of what you are trying to learn from your data? If you know the underlying prediction function that you're trying to estimate with SL, that would be really helpful for us to make sure the MAE is appropriate. If you're not sure, then we can help you get there based on the description of your problem.
from sl3.
Related Issues (20)
- Add count/nonnegative outcome variable type to sl3 and poisson family supporting learner properties HOT 2
- formula argument for learner clashes with formula argument of the internal learning routine (e.g. GAM) HOT 2
- documentation improvements
- Allowed argument for earth not being passed appropriately HOT 1
- Error : No newoffset provided for prediction, yet offset used in fit of glmnet HOT 1
- R 4.0 dependency (stringsAsFactors) HOT 3
- Devel install error HOT 4
- When loading the sl3 package, this error gets reported... HOT 7
- Predicting from `Lrnr_sl` HOT 3
- Example for `Lrnr_cv_selector` is not working HOT 3
- Delayed learner fit does not yield same result as regular fit when `Lrnr_randomForest` is used HOT 1
- `Lrnr_cv` predictions broken HOT 2
- Stratify folds by sparse outcome - question HOT 3
- Using sl3 fits in tmle3 HOT 2
- Lrnr_glmnet bug HOT 1
- sl3 CV split with rare events HOT 1
- sl3 presentation on website currently returns 404 error HOT 1
- chain_fold not defined for Lrnr_base
- installation problem HOT 5
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 sl3.