65000 orders. 100.000 items. Not many items per order. 80.000 products. Only 20.000 are sold at least once. 85.000 customers. Half of the customers have bought at least one product according to this trainingsdata. 1500 categories. 150 manufactures.
Currently a maximum of 5 properties for the products and customers. What setup do you recommend? > Op 10 mei 2017 om 20:44 heeft Pat Ferrel <p...@occamsmachete.com> het > volgende geschreven: > > Probably, how many users and items? > > It will certainly work on a single machine, you may have to pick a less than > minimal instance type. We recommend R3 instances and you can upgrade in place > if you start out too small. > > > On May 10, 2017, at 10:45 AM, Dennis Honders <dennishond...@gmail.com> wrote: > > Okay, thanks for the answer. Will also take a look at the update next week. > > In my case I have like 65000 orders and the complete dataset is about 700.000 > records. > For confirmation, this is considered a small dataset, and small enough for > experimenting (Not using it in production) with the UR? > > 2017-05-10 19:13 GMT+02:00 Pat Ferrel <p...@occamsmachete.com>: >> Yes unless you have large-ish data. We also have and AWS AMI all set up >> here: http://actionml.com/docs/awssetupguide. Both should be fine for >> experimentation but will be too small for big-data. >> >> BTW all are being updated to the UR V0.6.0 and PIO 0.11.0 by next week >> though the current version work fine. >> >> >> On May 10, 2017, at 8:35 AM, Dennis Honders <dennishond...@gmail.com> wrote: >> >> Is the quickstart for PredictionIO 0.11.0 suitable enough for a very basic >> setup or is the single machine (http://actionml.com/docs/single_machine) >> setup a minimal requirement? >> > >
