Results for California

experiments/california_housing/stage4/none_with_params.json

@@ -31,6 +31,7 @@
     ],
     "job_number": -1,
     "extraction_strategy": "none",
+    "overwrite": false,
     "extracted_forest_size": [
         33,
         67,

experiments/california_housing/stage4/omp_with_params.json

@@ -31,6 +31,7 @@
     ],
     "job_number": -1,
     "extraction_strategy": "omp",
+    "overwrite": false,
     "extracted_forest_size": [
         33,
         67,

experiments/california_housing/stage4/random_with_params.json

@@ -31,6 +31,7 @@
     ],
     "job_number": -1,
     "extraction_strategy": "random",
+    "overwrite": false,
     "extracted_forest_size": [
         33,
         67,

scripts/run_stage4_experiments.sh

@@ -8,7 +8,7 @@ for dataset in california_housing
 #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 $seeds --extraction_strategy=none --save_experiment_configuration 4 none_with_params --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=1 --models_dir=models/$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"
+    oarsub -p "(gpu is null)" -n "$dataset base" -l /core=$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)" -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"
+    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"
 done