Comments (5)
And it is similar for integral_approx_estimator
.
from causaldiscoverytoolbox.
Hi Abel,
This sign is a choice made by design of the package. All pairwise algorithms output a float value between -1 and 1. 1 indicates the causal direction (1st variable causes the 2nd) whereas -1 indicates anticausal direction. The float value is often used to specify the confidence of the algorithm in its prediction.
I do understand your confusion however. I should add a warning/note in the docs.
Thanks for the feedback !
Best,
Diviyan
from causaldiscoverytoolbox.
Hi Diviyan,
Thanks for the reply!
Maybe I did not make myself clear enough. I was aware of sign of return value of pairwise algorithms in this package from your documentation.
Actually, I meant that the return value of IGCI method contradicts the above. That is, given the current implementation, positive return value means anticausal direction (2nd variable causes the 1st).
Best,
Abel
from causaldiscoverytoolbox.
Whoops, you're right, I'll fix that asap
from causaldiscoverytoolbox.
It should be done, I'll be closing this issue. Don't hesitate to reopen it if the issue remains.
Thanks again for the feedback !
from causaldiscoverytoolbox.
Related Issues (20)
- SID and SHD do not get the same results as the author of SID HOT 3
- SID error HOT 1
- Is it possible to insert prior knowledge before the causal graph creation? HOT 3
- [BUG] CGNN (Causal Graph Generation) + Usage of multiprocessing with pytorch HOT 1
- R Package (k)pcalg/RCIT is not available. RCIT has to be installed from https://github.com/Diviyan-Kalainathan/RCIT HOT 6
- [BUG] cdt.data.load_dataset('sachs') + one of the returned objects, 'target', is inconsistent with the paper(Sachs,etc 2005) HOT 1
- [fileNotFoundError: [Errno 2]] cdt.causality.graph.LiNGAM + No such file or directory: 'C:\\anaconda\\lib\\site-packages\\cdt\\utils\\R_templates\\test_import.R' HOT 1
- GIES targets and target.index parameter needs to be exposed HOT 2
- [BUG] orient_graph removes some of the edges
- [Question] What does the causal score in the pairwise model really indicate?
- ImportError: R Package (k)pcalg/RCIT is not available. HOT 3
- [BUG] CGNN run() Wrong way to calculate the score HOT 1
- FloatingPointError: The system is too ill-conditioned for this solver. The system is too ill-conditioned for this solver HOT 1
- Help! HOT 1
- Can PC algorithm be used for causal discovery under mixed types of data๏ผ
- ImportError: R Package pcalg is not available
- [BUG] autoset_settings() fails with MIG GPU
- CCDr algorithm execution error
- CCDr Algorithm + estimate.dag in R Script, Error in weights HOT 3
- CGNN running time is too long
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
๐ 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. ๐๐๐
-
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 โค๏ธ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from causaldiscoverytoolbox.