Add final MNAR imputation project. - #2576
Open
elisawege wants to merge 1 commit into
Open
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This pull request adds the final artifacts for the MNAR imputation project.
The project includes:
Core Idea:
A rebalanced MICE-like imputation approach for MNAR data, using target-region weighting and similarity-based weighting.
How to run:
cd mnar_project
Diabetes Dataset
python3 src/run_all_experiments.py --input-path data/processed/diabetes_sample.csv
AQ dataset:
python3 src/run_all_experiments.py --input-path data/processed/AQ_clean.csv
Main result:
Compared with standard MICE, the rebalanced approach substantially reduces MNAR-related bias. The final prototype was translated into DML/SystemDS.