From c9577c89e55578f83035976b5556a96f4ca2ef61 Mon Sep 17 00:00:00 2001 From: Charly Lamothe <charly.lamothe@univ-amu.fr> Date: Fri, 13 Mar 2020 11:53:00 +0100 Subject: [PATCH] Update run_stage5 scripts --- run_stage5_experiments.sh | 14 -------------- scripts/run_stage5_experiments.sh | 12 ++++++------ 2 files changed, 6 insertions(+), 20 deletions(-) delete mode 100755 run_stage5_experiments.sh diff --git a/run_stage5_experiments.sh b/run_stage5_experiments.sh deleted file mode 100755 index a28cdf0..0000000 --- a/run_stage5_experiments.sh +++ /dev/null @@ -1,14 +0,0 @@ -#!/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 diff --git a/scripts/run_stage5_experiments.sh b/scripts/run_stage5_experiments.sh index a16dcbf..4bd3711 100755 --- a/scripts/run_stage5_experiments.sh +++ b/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 -- GitLab