Add stage5 experiments script

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