a b/conf/experiment/feature_overlap_sensitivity.yaml 

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# Configuration file for the data dimensionality sensitivity experiment





  
  

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# ==============================================================================





  
  

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# Defaults





  
  

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defaults:





  
  

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  - _self_





  
  

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  # Simulation settings





  
  

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  - /simulator: ty_simulator #ty_simulator





  
  

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  # Model parametrization





  
  

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  - /models@EconML_CausalForestDML: EconML_CausalForestDML





  
  

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  - /models@EconML_DML: EconML_DML





  
  

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  - /models@EconML_DMLOrthoForest: EconML_DMLOrthoForest





  
  

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  - /models@EconML_DRLearner: EconML_DRLearner





  
  

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  - /models@EconML_DROrthoForest: EconML_DROrthoForest





  
  

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  - /models@EconML_ForestDRLearner: EconML_ForestDRLearner





  
  

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  - /models@EconML_LinearDML: EconML_LinearDML





  
  

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  - /models@EconML_LinearDRLearner: EconML_LinearDRLearner





  
  

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  - /models@EconML_SparseLinearDML: EconML_SparseLinearDML





  
  

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  - /models@EconML_SparseLinearDRLearner: EconML_SparseLinearDRLearner #EconML_SparseLinearDRLearner





  
  

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  - /models@EconML_SLearner_Lasso: EconML_SLearner_Lasso





  
  

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  - /models@EconML_TLearner_Lasso: EconML_TLearner_Lasso





  
  

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  - /models@EconML_XLearner_Lasso: EconML_XLearner_Lasso





  
  

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  - /models@Torch_SLearner: Torch_SLearner





  
  

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  - /models@Torch_TLearner: Torch_TLearner





  
  

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  - /models@Torch_XLearner: Torch_XLearner





  
  

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  - /models@Torch_DRLearner: Torch_DRLearner





  
  

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  - /models@Torch_RLearner: Torch_RLearner





  
  

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  - /models@Torch_TARNet: Torch_TARNet





  
  

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  - /models@Torch_DragonNet: Torch_DragonNet





  
  

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  - /models@Torch_ULearner: Torch_ULearner





  
  

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  - /models@Torch_RALearner: Torch_RALearner





  
  

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  - /models@Torch_PWLearner: Torch_PWLearner





  
  

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  - /models@Torch_FlexTENet: Torch_FlexTENet





  
  

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  - /models@Torch_CRFNet_0_01: Torch_CRFNet_0_01





  
  

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  - /models@Torch_CRFNet_0_001: Torch_CRFNet_0_001





  
  

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  - /models@Torch_CRFNet_0_0001: Torch_CRFNet_0_0001





  
  

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  - /models@Torch_ActionNet: Torch_ActionNet





  
  

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  - /models@DiffPOLearner: DiffPOLearner





  
  

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# EXPERIMENT AND DATA





  
  

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# ==============================================================================





  
  

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experiment_name: "feature_overlap_sensitivity"





  
  

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# ==============================================================================





  
  

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# EXPERIMENTAL KNOB





  
  

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# ==============================================================================





  
  

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# Cohort sizes to be tested





  
  

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propensity_scales: [0,0.5,1,1.5,2.0,2.5,3,4] #[25,32,40,47,55]





  
  

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feature_type_overlaps: ["sel_pred", "sel_prog", "sel_none"] # [0.3,0.6,0.9]





  
  

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treatment_feature_overlaps: [False, True]





  
  

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# ==============================================================================





  
  

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