Pallavi Pannu

@weixuanfu Can we access all the intermediate pipelines that are completed without having the fit function to complete all the pipelines fully and then access using the evaluated_individuals_ on tpot...

@weixuanfu Thanks for the reply. But if we keep interrupting it will take too much time to complete. can you suggest any other workaround for this ?

> You could use a loop of fitting TPOT object with warm_start=True and generation=1 and save `evaluated_individuals_` Python dictionary every generation/loop. @weixuanfu Thank you.

@weixuanfu is this the right way ? In generation1 i am getting only 7 pipelines , but it should generate 8. population_size+generations*offspring_size = 4 + 4 = 8. Please Clarify....

> Hmm, it is not right. Please put `tp=TPOTClassifier...` outside loop and `random_state=0` means no random_state in TPOT (I think we need change this in the future). > > I...