You would need to do the data mining and machine learning as either a side task processed a little bit at a time with each page request or you would need a URL whose only purpose in being requested is to allow your algorithm to process to for a bit and then you would need to have a client that just keeps hitting that URL to keep your algorithm processing.
You are also strictly limited to Python code removing which remove any possibility of doing low level optimization for CPU intensive routines. On Oct 4, 11:46 am, Carlos Hellín <[EMAIL PROTECTED]> wrote: > I'm building a lifestreaming app that will involve pulling down lots > of feeds for lots of users, and performing data-mining, and machine > learning algorithms on the results. > It's a good idea to use GAE or has many limitations? for example: lack > of cron jobs is a nuisance or for CPU intensive apps I don't know if > it's good. --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Google App Engine" group. To post to this group, send email to google-appengine@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/google-appengine?hl=en -~----------~----~----~----~------~----~------~--~---