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From Vaghawan Ojha <vaghawan...@gmail.com>
Subject Re: Empty result even though there are events
Date Wed, 05 Apr 2017 03:13:14 GMT
Hi,

Yes, I couldn't use different appName. Even when I changed the appName in
engine.json and did pio build, the app name in pio app list still reamins
the same. Something to do with the pio itself, I guess.

Thank you very much for your support.

On Mon, Apr 3, 2017 at 6:58 PM, Pat Ferrel <pat@occamsmachete.com> wrote:

> I am unclear. What is the problem? You can’t use different datasets
> (different appNames)?
>
> What is the output of `pio app list`
>
>
> On Apr 2, 2017, at 9:06 PM, Vaghawan Ojha <vaghawan781@gmail.com> wrote:
>
> Hi,
>
> Thank you, I did the changes. But whenever I changed the appname and did
> pio build its Ok, but while training it says invalid appname for any other
> app name. I'm missing something, however when I left the appname as
> handmade, it works.
>
> Now the data and recommendation are all working. Thank you very much, I
> used engine.json.minimum. I will be testing other features, like cart
> recommendation. Here's my engine.json
>
> {
>   "comment":" This config file uses default settings for all but the
> required values see README.md for docs",
>   "id": "default",
>   "description": "Default settings",
>   "engineFactory": "org.template.RecommendationEngine",
>   "datasource": {
>     "params" : {
>       "name": "sample-handmade-data.txt",
>       "appName": "handmade",
>       "eventNames": ["purchase", "view"]
>     }
>   },
>   "sparkConf": {
>     "spark.serializer": "org.apache.spark.serializer.KryoSerializer",
>     "spark.kryo.registrator": "org.apache.mahout.sparkbindings.io.
> MahoutKryoRegistrator",
>     "spark.kryo.referenceTracking": "false",
>     "spark.kryoserializer.buffer.mb": "300",
>     "spark.kryoserializer.buffer": "300m",
>     "es.index.auto.create": "true"
>   },
>   "algorithms": [
>     {
>       "comment": "simplest setup where all values are default, popularity
> based backfill, must add eventsNames",
>       "name": "ur",
>       "params": {
>         "appName": "handmade",
>         "indexName": "urindex",
>         "typeName": "items",
>         "comment": "must have data for the first event or the model will
> not build, other events are optional",
>         "eventNames": ["purchase", "view"]
>       }
>     }
>   ]
> }
>
> I was very curious, what does this means: "name":
> "sample-handmade-data.txt",
> Thanks
>
>
> On Sat, Apr 1, 2017 at 1:29 AM, Pat Ferrel <pat@occamsmachete.com> wrote:
>
>> You have active date range filters and no dates in your data. This is
>> because you are using the engine.json from the integration test, which uses
>> that config.
>>
>> Start form engine.json.minimum and set the appName for your data and the
>> eventNames you will use.
>>
>>
>> On Mar 31, 2017, at 12:52 AM, Vaghawan Ojha <vaghawan781@gmail.com>
>> wrote:
>>
>> More info: I don't have the secondary event like "View" in my data, I
>> just don't collect the view event, since I'm using old purchased history of
>> the user.
>>
>> With integration test data everything is Ok, but with my real data, it's
>> not.  All the data looks like this with varying item_id and user_id. There
>> is no view events.
>>
>> {"entityId":"00068116","entityType":"user","event":"purchase
>> ","targetEntityType":"item","targetEntityId":"BM8941"}
>> {"entityId":"00068116","entityType":"user","event":"purchase
>> ","targetEntityType":"item","targetEntityId":"BM8920"}
>> {"entityId":"00088894","entityType":"user","event":"purchase
>> ","targetEntityType":"item","targetEntityId":"BM66336"}
>> {"entityId":"00097710","entityType":"user","event":"purchase
>> ","targetEntityType":"item","targetEntityId":"BM42110"}
>> {"entityId":"00097710","entityType":"user","event":"purchase
>> ","targetEntityType":"item","targetEntityId":"BM61833"}
>> {"entityId":"00097710","entityType":"user","event":"purchase
>> ","targetEntityType":"item","targetEntityId":"BM65826"}
>> {"entityId":"00097710","entityType":"user","event":"purchase
>> ","targetEntityType":"item","targetEntityId":"BM40182"}
>> {"entityId":"00097710","entityType":"user","event":"purchase
>> ","targetEntityType":"item","targetEntityId":"BM5001"}
>>
>> Is my data wrong? I am able to successfully  train and deploy the engine.
>>
>> On Fri, Mar 31, 2017 at 11:40 AM, Vaghawan Ojha <vaghawan781@gmail.com> w
>> rote:
>>
>>> I've 50000 transection data for experiment. I don't  think it's the data
>>> because with the same data I could get recommendation using Recommendation
>>> template.
>>>
>>> On Fri, Mar 31, 2017 at 11:29 AM, Vaghawan Ojha <vaghawan781@gmail.com>
>>> wrote:
>>>
>>>> Hi,
>>>>
>>>> I imported the bulk data using pio import --appid (id) --input
>>>>  data.json . The import was successful, then I build and trained and
>>>> deployed the UR, but when I query the server, it always returns a empty
>>>> json {"itemScores":[]} .
>>>>
>>>>
>>>> I think,  I must be missing something in the config, here is my
>>>> engine.json
>>>>
>>>> {
>>>>   "comment":" This config file uses default settings for all but the
>>>> required values see README.md for docs",
>>>>   "id": "default",
>>>>   "description": "Default settings",
>>>>   "engineFactory": "org.template.RecommendationEngine",
>>>>   "datasource": {
>>>>     "params" : {
>>>>       "name": "sample-handmade-data.txt",
>>>>       "appName": "handmade",
>>>>       "eventNames": ["purchase", "view"]
>>>>     }
>>>>   },
>>>>   "sparkConf": {
>>>>     "spark.serializer": "org.apache.spark.serializer.KryoSerializer",
>>>>     "spark.kryo.registrator": "org.apache.mahout.sparkbindings.io
>>>> .MahoutKryoRegistrator",
>>>>     "spark.kryo.referenceTracking": "false",
>>>>     "spark.kryoserializer.buffer": "300m",
>>>>     "es.index.auto.create": "true"
>>>>   },
>>>>   "algorithms": [
>>>>     {
>>>>       "comment": "simplest setup where all values are default,
>>>> popularity based backfill, must add eventsNames",
>>>>       "name": "ur",
>>>>       "params": {
>>>>         "appName": "handmade",
>>>>         "indexName": "urindex",
>>>>         "typeName": "items",
>>>>         "comment": "must have data for the first event or the model
>>>> will not build, other events are optional",
>>>>         "indicators": [
>>>>           {
>>>>             "name": "purchase"
>>>>           },{
>>>>             "name": "view",
>>>>             "maxCorrelatorsPerItem": 50
>>>>           }
>>>>         ],
>>>>         "availableDateName": "available",
>>>>         "expireDateName": "expires",
>>>>         "dateName": "date",
>>>>         "num": 4
>>>>       }
>>>>     }
>>>>   ]
>>>> }
>>>>
>>>> is the data supposed to come from the sample-handmade-data.txt? I'm not
>>>> sure this is weird. My json data import and trains correctly without an
>>>> error. And example integration runs fine.
>>>>
>>>
>>>
>>
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