Release 0.2.0 (2023-01-19) · facebookresearch/balance

cli improvements:
- Add an option to set weight_trimming_mean_ratio = None for no trimming.
- Add an option to set transformations to be None (i.e. no transformations).
Add an option to adapt the title in:
- stats_and_plots.weighted_comparison_plots.plot_bar
- stats_and_plots.weighted_comparison_plots.plot_hist_kde

Fix (and simplify) balanceDF.plot to organize the order of groups (now unadjusted/self is left, adjusted/self center, and target is on the right)
Fix plotly functions to use the red color for self when only compared to target (since in that case it is likely unadjusted): balance.stats_and_plots.weighted_comparisons_plots.plotly_plot_qq and balance.stats_and_plots.weighted_comparisons_plots.plotly_plot_bar
Fix seaborn_plot_dist: output None by default (instead of axis object). Added a return_Axes argument to control this behavior.
Fix some test_cbps tests that were failing due to non-exact matches (we made the test less sensitive)

New blog section, with the post: Bringing "balance" to your data
New tutorial:
- quickstart_cbps - like the quickstart tutorial, but shows how to use the CBPS algorithm and compares the results to IPW (logistic regression with LASSO).
- balance_transformations_and_formulas - This tutorial showcases ways in which transformations, formulas and penalty can be included in your pre-processing of the covariates
  before adjusting for them.
API docs:
- New: highlighting on codeblocks
- a bunch of text fixes.
Update README.md
- logo
- with contributors
- typo fixes (props to @zbraiterman and @luca-martial).
Added section about "Releasing a new version" to CONTRIBUTING.md
- Available under "Docs/Contributing" section of website

Misc

Added automated Github Action package builds & deployment to PyPi on release.
- See release.yml