It's the case for the only example that was mentioned in this thread with sufficient level of details so as to permit concrete statements: it's the SOFM implementation (in package "o.a.c.m.ml.neuralnet.sofm"). The shared structure is the "Network" instance.
Can the KohonenTrainingTask be decomposed further so tasks gets the data it needs (Not the whole Network instance), performs the work, and returns an instance that can then be applied to the Network?
Cheers, - Ole --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org For additional commands, e-mail: dev-h...@commons.apache.org
