Functional runs from nsga_exp.py, however, extremely slow due to limited parallelization

setup.sh

@@ -10,3 +10,27 @@ mount -t nfs -o vers=3,proto=tcp 192.168.2.69:/mnt/user/ml_datasets0 /mnt/data
 WORK_DIR=/mnt/data
 mkdir -p /mnt/data/cache       # ensure directory exists
 export OPENML_CACHE_DIR=/mnt/data/cache
+
+
+apt install python3-venv
+
+python3 -m venv <environment_name>
+
+source <environment_name/bin/activate
+
+pip install -r requirements.txt
+
+chmod -R 750 /root/automl_datasets
+
+
+adduser mlly
+passwd mlly
+# mlly
+chown -R mlly:mlly /mnt/data
+chmod -R 750 /mnt/data
+
+su - mlly
+
+sudo usermod -aG wheel mlly
+
+sudo chmod -R u+rwx /mnt/data/automl_datasets/nsga/