Batch-Running Recommenders

The functions in lenskit.batch enable you to generate many recommendations or predictions at the same time, useful for evaluations and experiments.

The batch functions can parallelize over users with the optional n_jobs parameter, or the LK_NUM_PROCS environment variable.

Note

Scripts calling the batch recommendation or prediction facilites must be protected; that is, they should not directly perform their work when run, but should define functions and call a main function when run as a script, with a block like this at the end of the file:

def main():
    # do the actual work

if __name__ == '__main__':
    main()

If you are using the batch functions from a Jupyter notebook, you should be fine - the Jupyter programs are appropriately protected.