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How to pass assign optimized weights to a pipeline object?

Newbie here looking for some guidance.

I want to be able to take a subset of the results of a pipeline object like this:

results = run_pipeline(pipe, start_date='2015-11-01', end_date='2015-11-25')  
ranks = results.rank().mean(axis=1).order()  
seclist = ranks.tail(15).index

..and pass the sid data to a method that assigns optimized weights (e.g. OLMAR, Markowitz optimization, etc.), following which it would pass the sid and weights data to target_percent or target_percent_value.

Could anyone possibly post a simple algo or some kind of example of this? I've been trying different things but nothing seems to work.
I would really appreciate it.