Actually, the virtue here is that it allows alternative frameworks. Some of those alternatives are things we could use.
So MR2.0 isn't interesting per se in a machine learning context, but the flexibility it offers is very interesting. On Mon, Sep 5, 2011 at 4:13 AM, Sean Owen <[email protected]> wrote: > I am not so interesting in MR 2.0 -- nothing wrong > with it just not something better conceptually for machine learning. >
