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From Ravi Kiran <>
Subject Re: Terminology in event creation API
Date Wed, 12 Apr 2017 15:53:28 GMT
@Pat, I am using classification template. In this context, what is meaning
of above terminology.

On 12-Apr-2017 9:17 PM, "Pat Ferrel" <> wrote:

> Actually each Template has different “event” interpretation. @Vaghawan is
> giving the interpretation of a recommender. Other Templates will use the
> event fields in different ways so we should backup to that a Template is
> and does and what the rest of PIO does.
>  - Template: code that implements some AI/Machine Learning algorithm. An
> instance of a Template with accompanying engine.json is called and Engine.
> Each engine uses event made of the same JSON bits but interprets them in a
> way needed for the algorithm
>  - EventServer: a saver of datasets, called “apps” in PIO terminology. The
> stream of events is stored, on per “app” with an appName and app ID. These
> are input into PIO Engines
> The model created by an Engine is not part of the storage or naming
> conventions of PIO, each Engine stores them in different ways and formats.
> Event fields have different meaning and can convey a wide variety of data
> but each time you look at how to form events you should start with Template
> documentation. Event Recommenders are different, for instance the ALS
> recommenders require $set events to define items to be recommended, but the
> Universal Recommender does not, it finds them from what users interact with
> (buy, view, like, etc)
> So @Ravi if you can tell us what Template you are using we can be more
> specific.
> On Apr 12, 2017, at 5:03 AM, Vaghawan Ojha <> wrote:
> Hi,
> 1. event: event means the name of your event, forsay "buy", "view" ,
> "rate", "like". (It's not a model name)
> 2. entityType is always user, since the event corresponds to a user's
> event.
> 3. EntityId correspond to a user ID.
> 4. properties can vary, for example I might pass a category id of a
> particular purchase event, or something like that.
> A basic event would look something like this:
> {"entityId":"User1","entityType":"user","event":"
> buy","targetEntityType":"item","targetEntityId":"Product1"}
> {"entityId":"User2","entityType":"user","event":"
> buy","targetEntityType":"item","targetEntityId":"Product2"}
> {"entityId":"User3","entityType":"user","event":"
> view","targetEntityType":"item","targetEntityId":"Product5"}
> I hope this helps
> On Wed, Apr 12, 2017 at 5:42 PM, Ravi Kiran <> wrote:
>> Hi,
>> I am getting started with prediction IO. I need clarification about
>> prediction IO event creation api terminology. I want someone to verify if
>> my understanding of terminology is correct.
>> As per terminology here
>> <>,
>> 1) Does 'event' mean model name?
>> 2) 'entityType' is analogous to table name. Can I consider entityType is
>> like name of dataset (features and dependent variable data set)
>> 3) 'entityId' is like row number of data set
>> 4) attributes in 'properties' mean features (or variables)
>> I want someone to confirm if my above assumptions are correct?

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