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From Pat Ferrel <>
Subject Re: UR PredictionIO quickstart
Date Thu, 11 May 2017 01:03:19 GMT
The first thing you’ll run into is storage in-memory for all user and item ids. 20,000 products
that have sold and 42,500 users who have bought. This might fit in a 16g memory machine but
also might require 32g. The number of sales is not a big factor. You may even be able to connect
it to your sales channel, site or app. Sounds like the load will be low to start.

On May 10, 2017, at 1:21 PM, Dennis Honders <> wrote:

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
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 < <>>
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
> On May 10, 2017, at 10:45 AM, Dennis Honders < <>>
> 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 < <>>:
> Yes unless you have large-ish data. We also have and AWS AMI all set up here:
<>. 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 < <>>
> Is the quickstart for PredictionIO 0.11.0 suitable enough for a very basic setup or is
the single machine ( <>)
setup a minimal requirement?

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