New results

scripts/run_compute_results.sh

-seeds='1 2 3'
-for dataset in boston iris diabetes digits linnerud wine breast_cancer olivetti_faces 20newsgroups_vectorized lfw_pairs california_housing diamonds
+for dataset in breast_cancer diabetes diamonds california_housing boston steel-plates digits iris kin8nm olivetti_faces wine
 do
-    python code/compute_results.py --stage=4 --experiment_ids 1 2 3 --dataset_name=$dataset --models_dir=models/$dataset/stage4
+    python code/compute_results.py --stage=4 --experiment_ids 1 2 3 --dataset_name=$dataset --models_dir=models/$dataset/stage5
 done

scripts/run_stage5_experiments.sh

@@ -3,8 +3,8 @@ core_number=5
 walltime=1:00
 seeds='1 2 3 4 5 6 7'
 
-for dataset in breast_cancer diabetes diamonds california_housing boston linnerud steel-plates
-#for dataset in digits iris kin8nm kr-vs-kp lfw_pairs olivetti_faces wine
+#for dataset in breast_cancer diabetes diamonds california_housing boston linnerud steel-plates
+for dataset in digits iris kin8nm kr-vs-kp lfw_pairs olivetti_faces wine
 do
     oarsub -p "(gpu is null)" -l /core=$core_number,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=none --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=1 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
     oarsub -p "(gpu is null)" -l /core=$core_number,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=random --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=2 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"