New client that much better??
In the old days, i remember that each protien we folded had varying attributes. 1) speed 2) best rmsd.
so it was nothing to see a protien pass having as little as half the RMSD of the last one.
is this the same randomization we are seing now? an rmsd of 4.89? that's low by ver 1 standards. is it because the new method is that much better?
Kileran
Re: Giving Up Too Quickly
Quote:
Originally posted by Ned
Mikus said:
...snip
One meaningful statistic which argues against you is that 7 of the top 10 current best RMS of A values were found at generation 250.... To me that would suggest that 250 generations is TOO EARLY TO QUIT.... Now the project should examine the results of those runs and determine how many minima/ maxima were encountered in the process of getting there and determine a CRITERIA for WHEN TO QUIT versus terminating the run at a fixed number. (Just my $0.02 worth!)
Ned
The Generation number in the top ten is how many generations have been completed in the run that output that RMS, not the generation that the low RMS came from. You can use this to see if there is any hope of improvement of a particular number. If you click on the View Details link and scroll down quite a ways you can see the RMS vs generation graph.
Re: Re: Giving Up Too Quickly
Quote:
Originally posted by Welnic
The Generation number in the top ten is how many generations have been completed in the run that output that RMS, not the generation that the low RMS came from. You can use this to see if there is any hope of improvement of a particular number. If you click on the View Details link and scroll down quite a ways you can see the RMS vs generation graph.
Right. I feel it would be much more meaningful for the top ten listing to indicate the specific generation when the low RMS was found.
Then one would __not__ have to go through extra steps (ten times !!) to gauge the worth of always doing 250 generations.
mikus
p.s. I think comparing the dfGUI charts of time_per_generation and RMS_per_generation is instructive.