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Update slurm templates
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@@ -7,5 +7,5 @@
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#SBATCH --job-name="<model>-<score>-<date>"
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#SBATCH --job-name="<model>-<score>-<date>"
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#SBATCH --mail-user=ricardo.montanana@alu.uclm.es # email address
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#SBATCH --mail-user=ricardo.montanana@alu.uclm.es # email address
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#SBATCH --mail-type=END
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#SBATCH --mail-type=END
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#SBATCH -w nodo-7-33
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#SBATCH -w nodo-7-3[2-3]
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# LOAD MODULES, INSERT CODE, AND RUN YOUR PROGRAMS HERE
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# LOAD MODULES, INSERT CODE, AND RUN YOUR PROGRAMS HERE
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# Experiments to do:
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# Experiments to do:
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# Bagging
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# Bagging
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# Random Forest
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# Random Forest
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# Odte
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# Odte
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# Random Forest
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# Random Forest
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ODTE&ODTE Random Forest rbf-best&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"rbf\", \"splitter\": \"best\", \"max_features\": \"sqrt\"}"}
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#ODTE_accuracy_slurm_0202_1.sh, ODTE&ODTE Random Forest rbf-best&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"rbf\", \"splitter\": \"best\", \"max_features\": \"sqrt\"}"}
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ODTE&ODTE Random Forest linear-best&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"linear\", \"splitter\": \"best\", \"max_features\": \"sqrt\"}"}
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#ODTE_accuracy_slurm_0202_2.sh, ODTE&ODTE Random Forest linear-best&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"linear\", \"splitter\": \"best\", \"max_features\": \"sqrt\"}"}
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ODTE&ODTE Random Forest rbf-random&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"rbf\", \"splitter\": \"random\", \"max_features\": \"sqrt\"}"}
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#ODTE_accuracy_slurm_0202_3.sh, ODTE&ODTE Random Forest rbf-random&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"rbf\", \"splitter\": \"random\", \"max_features\": \"sqrt\"}"}
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ODTE&ODTE Random Forest linear-random&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"linear\", \"splitter\": \"random\", \"max_features\": \"sqrt\"}"}
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#ODTE_accuracy_slurm_0202_4.sh, ODTE&ODTE Random Forest linear-random&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"linear\", \"splitter\": \"random\", \"max_features\": \"sqrt\"}"}
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ODTE&ODTE Random Forest rbf-trandom&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"rbf\", \"splitter\": \"trandom\", \"max_features\": \"sqrt\"}"}
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#ODTE_accuracy_slurm_0202_5.sh, ODTE&ODTE Random Forest rbf-trandom&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"rbf\", \"splitter\": \"trandom\", \"max_features\": \"sqrt\"}"}
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ODTE&ODTE Random Forest linear-trandom&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"linear\", \"splitter\": \"trandom\", \"max_features\": \"sqrt\"}"}
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#ODTE_accuracy_slurm_0202_6.sh, ODTE&ODTE Random Forest linear-trandom&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"linear\", \"splitter\": \"trandom\", \"max_features\": \"sqrt\"}"}
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cd <folder>
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cd <folder>
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python src/main.py -m <model> -s <score> --title "<title>" -p '<parameters>'
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python src/main.py -q 1 -m <model> -s <score> --title "<title>" -p '<parameters>'
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