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Describe the feature you want to propose or implement
I think it might be a good choice to rework
ipw_normalization
trimming_rule
trimming_threshold
The goals would be to generalize reweighting schemes and other adjustments.
If possible this should include the in_sample_normalization option of the doubleml.did module.
Further this should include an option to calibrate, see Algorithm 5 Calibration Strategies.
Propose a possible solution or implementation
Include several functions in utils._propensity_score