warm_start on new data set, keep population but update scores

Hi all,

I am using TPOT to build pipelines that will generalise across several data sets. I would like to use the 'warm_start' parameter to re-initialise with the same best pipelines in my population but re-score them. Currently warm_start would look to see if the pipeline has been evaluated and use the past score (relating to the old data set).

I am not sure where would be best to make the change; perhaps a parameter in fit such that if warm_start is set we would go and re-evaluate current best population and ignore clear past pipeline scores? If anyone could point me in the direction of where I could make a change, or a better way to do this that would be awesome.

Thanks!

Drew