rerun sim

Author: SvenKlaassen

results/plm/lplr_ate_config.yml

@@ -0,0 +1,57 @@
+simulation_parameters:
+  repetitions: 500
+  max_runtime: 19800
+  random_seed: 42
+  n_jobs: -2
+dgp_parameters:
+  theta:
+  - 0.5
+  n_obs:
+  - 500
+  dim_x:
+  - 20
+  balanced_r0:
+  - false
+learner_definitions:
+  lasso: &id001
+    name: LassoCV
+  logistic: &id002
+    name: Logistic
+  rf: &id003
+    name: RF Regr.
+    params:
+      n_estimators: 100
+      max_features: sqrt
+  rf-class: &id004
+    name: RF Clas.
+    params:
+      n_estimators: 100
+      max_features: sqrt
+  lgbm: &id005
+    name: LGBM Regr.
+    params:
+      n_estimators: 500
+      learning_rate: 0.01
+  lgbm-class: &id006
+    name: LGBM Clas.
+    params:
+      n_estimators: 500
+      learning_rate: 0.01
+dml_parameters:
+  learners:
+  - ml_m: *id001
+    ml_M: *id002
+    ml_t: *id001
+  - ml_m: *id003
+    ml_M: *id004
+    ml_t: *id003
+  - ml_m: *id005
+    ml_M: *id006
+    ml_t: *id005
+  score:
+  - nuisance_space
+  - instrument
+confidence_parameters:
+  level:
+  - 0.95
+  - 0.9

results/plm/lplr_ate_coverage.csv

@@ -0,0 +1,13 @@
+Learner m,Learner M,Learner t,Score,level,Coverage,CI Length,Bias,repetition
+LGBM Regr.,LGBM Clas.,LGBM Regr.,instrument,0.9,0.67,2.1390099112235337,0.7733541625882442,500
+LGBM Regr.,LGBM Clas.,LGBM Regr.,instrument,0.95,0.764,2.5487875151191384,0.7733541625882442,500
+LGBM Regr.,LGBM Clas.,LGBM Regr.,nuisance_space,0.9,0.984,1.9277279638621336,0.2466245115241902,500
+LGBM Regr.,LGBM Clas.,LGBM Regr.,nuisance_space,0.95,0.99,2.297029546734241,0.2466245115241902,500
+LassoCV,Logistic,LassoCV,instrument,0.9,0.86,1.0931286705325178,0.298255530442962,500
+LassoCV,Logistic,LassoCV,instrument,0.95,0.918,1.3025431501055353,0.298255530442962,500
+LassoCV,Logistic,LassoCV,nuisance_space,0.9,0.868,0.9404185531245673,0.24057237828123884,500
+LassoCV,Logistic,LassoCV,nuisance_space,0.95,0.912,1.1205778218293696,0.24057237828123884,500
+RF Regr.,RF Clas.,RF Regr.,instrument,0.9,0.62,1.046850766016744,0.45835891474591894,500
+RF Regr.,RF Clas.,RF Regr.,instrument,0.95,0.724,1.247399625694183,0.45835891474591894,500
+RF Regr.,RF Clas.,RF Regr.,nuisance_space,0.9,0.954,1.0685671491162505,0.19701203032568387,500
+RF Regr.,RF Clas.,RF Regr.,nuisance_space,0.95,0.972,1.273276292196352,0.19701203032568387,500

results/plm/lplr_ate_metadata.csv

@@ -0,0 +1,2 @@
+DoubleML Version,Script,Date,Total Runtime (minutes),Python Version,Config File
+0.11.dev0,LPLRATECoverageSimulation,2025-11-14 12:30,16.61991152763367,3.12.9,scripts/plm/lplr_ate_config.yml

scripts/plm/lplr_ate_config.yml

@@ -1,7 +1,7 @@
 # Simulation parameters for LPLR ATE Coverage
 
 simulation_parameters:
-  repetitions: 1000
+  repetitions: 500
   max_runtime: 19800 # 5.5 hours in seconds
   random_seed: 42
   n_jobs: -2