doubleml-for-py
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DoubleML
DoubleML - Double Machine Learning in Python
I was trying to use DML for continuous treatment (price) and binary outcome(churn). Based on the docs, its not possible to use any of these techniques to this case. Is...
### Describe the feature you want to propose or implement Thanks for the great work! I am just using this package for heterogeneous treatment effect using instrument variables (DoubleMLPLIV). For...
### Average Potential Outcomes Adding ``DoubleMLAPO`` to estimate (weighted) average potential outcomes $$\theta_0 = \mathbb{E}[\omega(Y,D,X) \cdot Y(a)]$$ for some treatment value $D=a$. Further adding ``DoubleMLAPOS`` to simultaneously compute multiple discrete...
### Description Removing indirect dependence of ``sensitivity_plot`` on ``sensitivity_analysis`` by adding new input values ``rho``, ``level`` and ``null_hypothesis``. Moving ``sensitivity_plot``, ``sensitivity_analysis`` , ``_calc_robustness_value`` and ``_calc_sensitivity_analysis`` from ``DoubleML`` to ``DoubleMLFramework`` class....
### Describe the feature you want to propose or implement Would be nice to extend the `DoubleMLIRM` class to accommodate multiple discrete-valued treatments $w \in \mathcal{W}$, where the estimation primatives...
Enable the save use of classifiers for the PLR model (see #234) The model should accept classifiers and switch to `predict_proba()` (but only for `ml_l`).
Suggested Changes: Update the basic `DoubleMLData` class to be more flexible. Restructure the datasets module such that each generator has a seperate script. Suggestions: - Allow for [Polars](https://pola.rs/)
### Describe the feature you want to propose or implement - [ ] An abstract DoubleMLBase class, which defines certain fixed properties and methods to simplify maintainance for classes such...
### Describe the feature you want to propose or implement Add diagnostic tools for propensity scores. ### Propose a possible solution or implementation Maybe a utility function which implments the...