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Add Average potential outcome model #250
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| _check_is_propensity | ||
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| class DoubleMLAPO(LinearScoreMixin, DoubleML): |
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Base classes have conflicting values for attribute '_score_element_names': [Property _score_element_names](1) and [Property _score_element_names](2).
| _check_score(self.score, valid_scores, allow_callable=False) | ||
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| # set stratication for resampling | ||
| self._strata = self._dml_data.d |
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Assignment overwrites attribute _strata, which was previously defined in superclass [DoubleML](1).
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| ml_g_is_classifier = self._check_learner(ml_g, 'ml_g', regressor=True, classifier=True) | ||
| _ = self._check_learner(ml_m, 'ml_m', regressor=False, classifier=True) | ||
| self._learner = {'ml_g': ml_g, 'ml_m': ml_m} |
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Assignment overwrites attribute _learner, which was previously defined in superclass [DoubleML](1).
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Average Potential Outcomes
Adding
DoubleMLAPOto estimate (weighted) average potential outcomesfor some treatment value$D=a$ .
Further adding
DoubleMLAPOSto simultaneously compute multiple discrete average potential outcomes and effects.New DGP
New dgp
make_irm_data_discrete_treatements.Additional updates
Add optional
treatment_namesandsummarytoDoubleMLFramework.Reference to Issues or PRs
First step to implement #245
Comments
DoubleMLAPOsupports:DoubleMLAPOSsupports:PR Checklist
Please fill out this PR checklist (see our contributing guidelines for details).