Hi, It is configured to 127.0.0.1
Link encap:Local Loopback inet addr:127.0.0.1 Mask:255.0.0.0 Regards, Sravya From: Gustavo Frederico [mailto:[email protected]] Sent: Friday, November 4, 2016 6:25 PM To: [email protected] Subject: Re: Not able to access engine after successful deployment The 0.0.0.0 IP looks a bit odd. How is your loopback network interface configured? Check with ifconfig. On Fri, Nov 4, 2016 at 8:51 AM, Guruju, Lakshmi Sravya <[email protected]<mailto:[email protected]>> wrote: Hi, I have setup predictionIo successfully on a linux VM. Event server is running at http://localhost:7070. I am using elasticseacrh as data storage and it is up and running at http://localhost:9200 But when I am trying to deploy Recommendation engine, deployment was successful but I am not able to access it at localhost. You can see the below trace after successful deployment. [WARN] [WorkflowUtils$] Non-empty parameters supplied to org.template.recommendation.Preparator, but its constructor does not accept any arguments. Stubbing with empty parameters. [WARN] [WorkflowUtils$] Non-empty parameters supplied to org.template.recommendation.Serving, but its constructor does not accept any arguments. Stubbing with empty parameters. [INFO] [Remoting] Starting remoting [INFO] [Remoting] Remoting started; listening on addresses :[akka.tcp://[email protected]:40932<http://[email protected]:40932>] [WARN] [MetricsSystem] Using default name DAGScheduler for source because spark.app.id<http://spark.app.id> is not set. [INFO] [Engine] Using persisted model [INFO] [Engine] Custom-persisted model detected for algorithm org.template.recommendation.ALSAlgorithm [WARN] [ALSModel] User factor does not have a partitioner. Prediction on individual records could be slow. [WARN] [ALSModel] User factor is not cached. Prediction could be slow. [WARN] [ALSModel] Product factor does not have a partitioner. Prediction on individual records could be slow. [WARN] [ALSModel] Product factor is not cached. Prediction could be slow. [INFO] [MasterActor] Undeploying any existing engine instance at http://0.0.0.0:8000 [WARN] [MasterActor] Nothing at http://0.0.0.0:8000 [INFO] [HttpListener] Bound to /0.0.0.0:8000<http://0.0.0.0:8000> [INFO] [MasterActor] Engine is deployed and running. Engine API is live at http://0.0.0.0:8000. $ curl -i -X GET "http://localhost:8000"; curl: (7) Failed to connect to localhost port 8000: Connection refused I have also tried with different ports but nothing worked. Could someone please help me resolve these. Regards, Sravya
