scripts/run_compute_results.sh

-for dataset in diamonds california_housing boston iris diabetes digits linnerud wine breast_cancer olivetti_faces 20newsgroups_vectorized lfw_pairs
+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=1 --experiment_ids 1 2 3 4 5 6 --dataset_name=$dataset --models_dir=models/$dataset/stage1
-    python code/compute_results.py --stage=2 --experiment_ids 1 2 3 4 --dataset_name=$dataset --models_dir=models/$dataset/stage2
-    python code/compute_results.py --stage=3 --experiment_ids 1 2 3 --dataset_name=$dataset --models_dir=models/$dataset/stage3
     python code/compute_results.py --stage=4 --experiment_ids 1 2 3 --dataset_name=$dataset --models_dir=models/$dataset/stage4
 done

scripts/run_stage4_experiments.sh

 #!/bin/bash
-core_number=5
+core_number=14
 walltime=1:00
-seeds='1 2 3'
+seeds='1 2 3 4 5 6 7'
 
-for dataset in diamonds california_housing boston iris diabetes digits linnerud wine breast_cancer olivetti_faces 20newsgroups_vectorized lfw_pairs
+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
 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 $seeds --extraction_strategy=none --save_experiment_configuration 4 none_with_params --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=1 --models_dir=models/$dataset/stage4 --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 $seeds --extraction_strategy=random --save_experiment_configuration 4 random_with_params --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=2 --models_dir=models/$dataset/stage4 --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 $seeds --extraction_strategy=omp --save_experiment_configuration 4 omp_with_params --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=3 --models_dir=models/$dataset/stage4 --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 $seeds --extraction_strategy=none --save_experiment_configuration 4 none_with_params --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=1 --models_dir=models/$dataset/stage4 --subsets_used train+dev,train+dev"
+    oarsub -p "(gpu is null)" -l /core=$core_number,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=random --save_experiment_configuration 4 random_with_params --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=2 --models_dir=models/$dataset/stage4 --subsets_used train+dev,train+dev"
+    oarsub -p "(gpu is null)" -l /core=$core_number,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=omp --save_experiment_configuration 4 omp_with_params --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=3 --models_dir=models/$dataset/stage4 --subsets_used train+dev,train+dev"
 done

scripts/run_stage5_experiments.sh

+#!/bin/bash
+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 kr-vs-kp digits iris kin8nm lfw_pairs linnerud olivetti_faces wine
+# for dataset in breast_cancer kr-vs-kp steel-plates
+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"
+    oarsub -p "(gpu is null)" -l /core=$core_number,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=omp --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=3 --models_dir=models/$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 $seeds --extraction_strategy=similarity --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=4 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
+done