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 <p...@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 <vaghawan...@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 <vaghawan...@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 <vaghawan...@gmail.com> w
>> rote:
>>
>>> 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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