Easy way to drop these reals? #235
Replies: 3 comments 4 replies
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Hey Wes - I was thinking maybe you could add those same flow obs to the ctrl file twice and the second set of them could be inequality obs with huge weight so that when the condition is violated, it would give you a huge phi, so that they would be dropped as bad. but if the condition is satisfied (like flow > -2 in your plot), then these obs wouldnt have any influence. Does that sound reasonable? |
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Makes sense, but I think I am failing at the implementation for some reason. In my control file I have:
And I am getting:
Why would my max phi still be version: 5.1.24 |
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I updated my pestpp version, but I am still not making sense of it. Using default for ies_bad_phi_sigma. It looks like my "flow" tag is picking up less_flow and flow obsgp. But I though all reals with any contribution from "less_flow" would have been thrown out? Some pertinent bits. version: 5.2.0 ies_bad_phi: 1e+30 --- pre-drop initial phi summary --- ...bad_phi_sigma 1e+300 and mean 1.9465e+75 yields bad phi threshold of inf --- dropping realizations as bad: 133 --- --- adjusting weights using phi factors in file balance_phi_groups.csv --- --- pre-weight-adjustment initial phi summary --- group mean std min max percent std --- checking phi factors in file balance_phi_groups.csv --- ...using mean residuals for reweighting --- initial phi summary --- |
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Hi, I am getting a few realizations that give exceptionally low values but the obs is not tagged as prior data conflict since technically the obs dist fall within the bounds of the prior. I have ies_bad_phi_sigma=3, but phi for the entire realization does not meet the requirement to drop out. Parameter upgrades seem to just be moving those far away realizations closer, for an iteration or two and then not much actions. I assume these are not ideal for the empirical jco :).
I am considering dropping any realizations where outliers like this occur for any obs. Any concerns or thoughts? Any clever approaches others have used?
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