It's a search/optimization problem. I have an existing complex model (multiple neural nets) and I need to find the right combination of inputs to achieve certain target outputs. It seems like GA would be the easiest approach for this.
I'll take a look at the old Watchmaker code and maybe try to improve on it. Thanks for the help. -Jason On Sat, Aug 11, 2012 at 6:20 PM, Ted Dunning <[email protected]> wrote: > The Watchmaker implementation was not very scalable and there was no > perceptible user demand for it. There was also nobody who was maintaining > it. > > So we nuked it. > > There is still a limited evolutionary algorithm that is part of the > AdaptiveLogisticRegression. It is likely to be pretty good on problems > that involve the optimization of functions of continuous variables. > > What sort of GA do you need? > > On Sat, Aug 11, 2012 at 6:37 AM, Jason Thomas <[email protected] > >wrote: > > > I noticed Watchmaker support was removed. Could someone tell me if this > > was because genetic algorithms in general aren't in line with Mahout > goals > > or was there a problem specifically with the Watchmaker > > integration/implementation? I need scalable GA and I'm trying to figure > > out how to proceed. > > > > Thanks, > > Jason > > >
