Hi guys, Yes, in my opinion genetic algorithms developed by Turik perfectly fit our ML component as a separate package. Look, *ML* is a building block on top of Ignite distributed storage and compute grid. Same is true about GA grid. So, why don’t we merge GA into ML?
Nikita, Yuri and the rest of ML folks please chime in. — Denis > On Nov 2, 2017, at 5:02 PM, techbysample <tu...@netmille.com> wrote: > > Dmitriy, > > Hello. Unfortunately, I am not sure that I fully understand your comments: > > "..Is my understanding correct that GA Grid is a vertical component for > genetic algorithms? So far Ignite has been a horizontal product without any > vertical functionality. I personally would like to keep it this way.." > > Would you please clarify? > > I simply view GA Grid as a software component that implements a distributive > Genetic Algorithm (GA). > GA Grid relies on Apache Ignite's major features: advanced clustering, > compute grid, data grid, etc. > > Here is a diagram of how GA Grid relates to other components within Ignite: > > <http://apache-ignite-developers.2346864.n4.nabble.com/file/t375/GAIgniteComps.png> > > > Based my earlier discussion with Denis M., I assumed GA Grid could be added > to the collection of ML algorithms within ML Grid, since GA's are a type of > 'Machine Learning" algorithms. > > If it is determined that GA Grid would not fit into Apache Ignite > architecturally, I would consider including > it as separate Apache project. > > Denis, would you please add your feedback as well? > > Please advise. > > Best, > Turik > > > > > -- > Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/
