Resultfs for california

experiments/california_housing/stage4/none_with_params.json

@@ -17,9 +17,7 @@
         2,
         3,
         4,
-        5,
-        6,
-        7
+        5
     ],
     "subsets_used": "train+dev,train+dev",
     "normalize_weights": false,
@@ -31,7 +29,7 @@
     ],
     "job_number": -1,
     "extraction_strategy": "none",
-    "overwrite": false,
+    "overwrite": true,
     "extracted_forest_size": [
         33,
         67,

experiments/california_housing/stage4/omp_with_params.json

@@ -17,9 +17,7 @@
         2,
         3,
         4,
-        5,
-        6,
-        7
+        5
     ],
     "subsets_used": "train+dev,train+dev",
     "normalize_weights": false,
@@ -31,7 +29,7 @@
     ],
     "job_number": -1,
     "extraction_strategy": "omp",
-    "overwrite": false,
+    "overwrite": true,
     "extracted_forest_size": [
         33,
         67,

experiments/california_housing/stage4/random_with_params.json

@@ -17,9 +17,7 @@
         2,
         3,
         4,
-        5,
-        6,
-        7
+        5
     ],
     "subsets_used": "train+dev,train+dev",
     "normalize_weights": false,
@@ -31,7 +29,7 @@
     ],
     "job_number": -1,
     "extraction_strategy": "random",
-    "overwrite": false,
+    "overwrite": true,
     "extracted_forest_size": [
         33,
         67,

scripts/run_stage4_experiments.sh

 #!/bin/bash
-core_number=14
+core_number=5
 walltime=1:00
-seeds='1 2 3 4 5 6 7'
+seeds='1 2 3 4 5'
 
 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)" -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"
+    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"
 done