facebookresearch/balance
The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.
PythonGPL-2.0
Issues
- 1
[FEATURE] Add a warning message to Balance when trying to run very large/imbalanced weights
#84 opened by talgalili - 0
- 11
[BUG] marginal distribution with rake
#80 opened by EmanueleCeglia - 1
- 18
[BUG] method = 'rake' return AttributeError
#73 opened by geniusjenny - 0
- 0
- 1
[BUG] rake doesn't support trimming - but also doesn't indicate it to the user
#69 opened by talgalili - 3
- 2
[FEATURE] Migrate from glmnet_python to sklearn
#30 opened by SarigT - 0
[FEATURE] check (raise warning) if features are provided that lead to all equal weights
#65 opened by talgalili - 0
[FEATURE] Update the printout of adjusted.summary() to include aspects of covars, weights and outcome
#58 opened by talgalili - 0
[FEATURE] Update the printout of an adjusted object to include information about the correction used.
#57 opened by talgalili - 0
[FEATURE] Move from patsy to formulaic
#56 opened by talgalili - 0
- 1
- 0
- 0
[FEATURE] add kl divergence metrics to covars()
#50 opened by talgalili - 0
- 0
- 3
- 6
[BUG] libgfortran.so.3: cannot open shared object file when running sample_with_target.adjust(max_de=None)
#33 opened by geniusjenny - 6
- 20
Incompatible with Python 3.11
#19 opened by tomwagstaff-opml - 8
- 8
- 1
Can't use `method = ipw` in Windows
#26 opened by tomwagstaff-opml - 2
Migrate license from GPL2 to MIT
#16 opened by talgalili - 2
Page edit not working
#12 opened by denvash