You can start an interactive scikit-learn session on the login nodes by loading the corresponding modules and starting the Python interpreter.
[leonhard@euler04 ~]$ module load new gcc/4.8.2 python/3.6.0 Autoloading openblas/0.2.13_seq and sqlite/3.15.0 [leonhard@euler04 ~]$ python Python 3.6.0 (default, Feb 10 2017, 09:00:08) [GCC 4.8.2] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import sklearn >>> sklearn.__version__ '0.18.1' >>>
Please note that you should use interactive sessions only for very short test that do not use a lot of CPU capacity. You have to submit all other computations as a batch job.