Some new results

scripts/run_compute_results.sh

-for dataset in california_housing
+for dataset in breast_cancer diabetes diamonds boston steel-plates kr-vs-kp digits iris kin8nm olivetti_faces wine spambase
+#for dataset in california_housing
 #for dataset in breast_cancer diabetes diamonds california_housing boston linnerud steel-plates kr-vs-kp digits iris kin8nm olivetti_faces wine spambase
 do
     python code/compute_results.py --stage=4 --experiment_ids 1 2 3 --dataset_name=$dataset --models_dir=models/$dataset/stage4

scripts/run_stage4_experiments.sh

@@ -3,12 +3,12 @@ core_number=5
 walltime=1:00
 seeds='1 2 3 4 5'
 
-for dataset in california_housing
+#for dataset in california_housing
 #for dataset in kin8nm
 #for dataset in gamma
-#for dataset in breast_cancer diabetes diamonds california_housing boston linnerud steel-plates kr-vs-kp digits iris kin8nm lfw_pairs linnerud olivetti_faces wine spambase gamma
+for dataset in breast_cancer diabetes diamonds boston steel-plates kr-vs-kp digits iris kin8nm olivetti_faces wine spambase 
 do
     oarsub -p "(gpu is null)" -n "$dataset base" -l /core=1,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=none --save_experiment_configuration 4 none_with_params --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=1 --models_dir=models/$dataset/stage4 --subsets_used train+dev,train+dev --overwrite"
-    #oarsub -p "(gpu is null)" -n "$dataset random" -l /core=$core_number,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=random --save_experiment_configuration 4 random_with_params --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=2 --models_dir=models/$dataset/stage4 --subsets_used train+dev,train+dev --overwrite"
-    #oarsub -p "(gpu is null)" -n "$dataset omp" -l /core=$core_number,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=omp --save_experiment_configuration 4 omp_with_params --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=3 --models_dir=models/$dataset/stage4 --subsets_used train+dev,train+dev --overwrite"
+    oarsub -p "(gpu is null)" -n "$dataset random" -l /core=$core_number,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=random --save_experiment_configuration 4 random_with_params --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=2 --models_dir=models/$dataset/stage4 --subsets_used train+dev,train+dev --overwrite"
+    oarsub -p "(gpu is null)" -n "$dataset omp" -l /core=$core_number,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=omp --save_experiment_configuration 4 omp_with_params --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=3 --models_dir=models/$dataset/stage4 --subsets_used train+dev,train+dev --overwrite"
 done