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Luc Giffon
bolsonaro
Commits
b2d16a25
Commit
b2d16a25
authored
5 years ago
by
Léo Bouscarrat
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Update script5 for full everything
parent
7885ac63
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1 merge request
!15
Resolve "Adding new datasets"
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scripts/run_stage5_experiments.sh
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scripts/run_stage5_experiments.sh
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b2d16a25
#!/bin/bash
core_number
=
5
walltime
=
1:00
seeds
=
'1 2 3'
seeds
=
'1 2 3
4 5 6 7
'
for
dataset
in
diabetes
#
diamonds california_housing boston linnerud
for
dataset
in
breast_cancer
diabetes diamonds california_housing boston linnerud
digits iris kin8nm kr-vs-kp lfw_pairs olivetti_faces steel-plates wine
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 --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
=
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
=
$core_number
,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
=
$core_number
,walltime
=
1:00
"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
=
$core_number
,walltime
=
1:00
"conda activate test_env && python code/train.py --dataset_name=
$dataset
--seeds
$seeds
--extraction_strategy=none --extracted_forest_size_stop=
1
--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
=
1:00
"conda activate test_env && python code/train.py --dataset_name=
$dataset
--seeds
$seeds
--extraction_strategy=random --extracted_forest_size_stop=
1
--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
=
1:00
"conda activate test_env && python code/train.py --dataset_name=
$dataset
--seeds
$seeds
--extraction_strategy=omp --extracted_forest_size_stop=
1
--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
,walltime
=
1:00
"conda activate test_env && python code/train.py --dataset_name=
$dataset
--seeds
$seeds
--extraction_strategy=similarity --extracted_forest_size_stop=
1
--extracted_forest_size_samples=30 --experiment_id=4 --models_dir=models/
$dataset
/stage5 --subsets_used train+dev,train+dev"
done
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