Update run_stage5 scripts

run_stage5_experiments.sh

-#!/bin/bash
-core_number=1
-walltime=5:00
-seeds='1 2 3'
-
-for dataset in kin8nm kr-vs-kp spambase steel-plates diabetes diamonds boston california_housing
-do
-    #oarsub -p "(gpu is null)" -l /core=5,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=none --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=1 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
-    #oarsub -p "(gpu is null)" -l /core=5,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=random --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=2 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
-    #oarsub -p "(gpu is null)" -l /core=5,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=omp --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=3 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
-    oarsub -p "(gpu is null)" -l /core=50,walltime=5:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=similarity --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=4 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
-    #oarsub -p "(gpu is null)" -l /core=50,walltime=5:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=kmeans --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=5 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
-    #oarsub -p "(gpu is null)" -l /core=50,walltime=5:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=ensemble --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=6 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
-done

scripts/run_stage5_experiments.sh

@@ -7,10 +7,10 @@ seeds='1 2 3 4 5'
 
 for dataset in kin8nm kr-vs-kp spambase steel-plates diabetes diamonds boston california_housing
 do
-    oarsub -p "(gpu is null)" -l /core=$core_number,walltime=$walltime "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=none --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=1 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
-    oarsub -p "(gpu is null)" -l /core=$core_number,walltime=$walltime "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=random --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=2 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
-    oarsub -p "(gpu is null)" -l /core=$core_number,walltime=$walltime "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=omp --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=3 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
-    oarsub -p "(gpu is null)" -l /core=$core_number_sota,walltime=$walltime_sota "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=similarity --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=4 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
-    oarsub -p "(gpu is null)" -l /core=$core_number_sota,walltime=$walltime_sota "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=kmeans --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=5 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
-    oarsub -p "(gpu is null)" -l /core=$core_number_sota,walltime=$walltime_sota "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=ensemble --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=6 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
+    oarsub -p "(gpu is null)" -l /core=$core_number,walltime=$walltime "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=none --extracted_forest_size_stop=1.0 --extracted_forest_size_samples=30 --experiment_id=1 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
+    oarsub -p "(gpu is null)" -l /core=$core_number,walltime=$walltime "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=random --extracted_forest_size_stop=1.0 --extracted_forest_size_samples=30 --experiment_id=2 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
+    oarsub -p "(gpu is null)" -l /core=$core_number,walltime=$walltime "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=omp --extracted_forest_size_stop=1.0 --extracted_forest_size_samples=30 --experiment_id=3 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
+    oarsub -p "(gpu is null)" -l /core=$core_number_sota,walltime=$walltime_sota "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=similarity --extracted_forest_size_stop=1.0 --extracted_forest_size_samples=30 --experiment_id=4 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
+    oarsub -p "(gpu is null)" -l /core=$core_number_sota,walltime=$walltime_sota "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=kmeans --extracted_forest_size_stop=1.0 --extracted_forest_size_samples=30 --experiment_id=5 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
+    oarsub -p "(gpu is null)" -l /core=$core_number_sota,walltime=$walltime_sota "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=ensemble --extracted_forest_size_stop=1.0 --extracted_forest_size_samples=30 --experiment_id=6 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
 done