Most popular items

[michaltrmac]

Hi,

how can I setup seldon-server to recommend most popular items?
I try to set it with "cluster-by-dimension" model, but it always faild on model train action with java.lang.ClassNotFoundException: com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException

Thanks
mt.

[ukclivecox]

Hi,

Can you tell us the command you are using to train the model?

[michaltrmac]

Hi,

i edit part of seldon.con file to look like this:

        "cluster-by-dimension": {
            "config": {
                "inputPath": "%SELDON_MODELS%",
                "outputPath": "%SELDON_MODELS%",
                "activate":true,
                "startDay" : 1,
                "days" : 1,
                "activate" : true,
                "jdbc" : "jdbc:mysql://mysql:3306/client?user=root&characterEncoding=utf8",
                "minActionsPerUser" : 0,
                "delta" : 0.1,
                "minClusterSize" : 200
            },
            "training": {
                "job_info": {
                    "cmd": "%SPARK_HOME%/bin/spark-submit",
                    "cmd_args": [
                        "--class",
                        "io.seldon.spark.cluster.ClusterUsersByDimension",
                        "--master",
                        "spark://spark-master:7077",
                        "--driver-memory",
                        "8g",
                        "--executor-memory",
                        "8g",
                        "--total-executor-cores",
                        "12",
                        "%SELDON_SPARK_HOME%/seldon-spark-%SELDON_VERSION%-jar-with-dependencies.jar",
                        "--client",
                        "%CLIENT_NAME%",
                        "--zookeeper",
                        "%ZK_HOSTS%"
                    ]
                },
                "job_type": "spark"
            }
        },

then i run

seldon-cli client --action processactions --client-name test2 --input-date-string 20161214

after that

seldon-cli model --action add --client-name test2 --model-name cluster-by-dimension --startDay 17149 --days 30

with output:

connecting to zookeeper-1:2181,zookeeper-2:2181 [SUCCEEDED]
Model [cluster-by-dimension] already added
adding config  startDay : 17149
adding config  days : 30
Writing data to file[/seldon-data/conf/zkroot/all_clients/test2/offline/cluster-by-dimension/_data_]
updated zk node[/all_clients/test2/offline/cluster-by-dimension]

and finally I run:

seldon-cli model --action train --client-name test2 --model-name cluster-by-dimension

Part of train output:

log4j:WARN No appenders could be found for logger (org.apache.curator.retry.ExponentialBackoffRetry).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
Confguration from zookeeper -> {"activate":true,"days":30,"delta":0.1,"inputPath":"/seldon-data/seldon-models","jdbc":"jdbc:mysql://mysql:3306/client?user=root&password=mypass&characterEncoding=utf8","minActionsPerUser":0,"minClusterSize":200,"outputPath":"/seldon-data$
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
16/12/15 09:54:44 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/12/15 09:54:45 INFO Slf4jLogger: Slf4jLogger started
16/12/15 09:54:45 INFO Remoting: Starting remoting
16/12/15 09:54:45 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriver@192.168.37.186:37775]
16/12/15 09:54:46 WARN MetricsSystem: Using default name DAGScheduler for source because spark.app.id is not set.
ClusterConfig(test2,/seldon-data/seldon-models,/seldon-data/seldon-models,17149,30,,,false,zookeeper-1:2181,zookeeper-2:2181,true,jdbc:mysql://mysql:3306/client?user=root&password=mypass&characterEncoding=utf8,0,0.1,200)
16/12/15 09:54:50 WARN ThrowableSerializationWrapper: Task exception could not be deserialized
java.lang.ClassNotFoundException: com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException
        at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
        at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
        at java.security.AccessController.doPrivileged(Native Method)
        at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
        at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
        at java.lang.Class.forName0(Native Method)
        at java.lang.Class.forName(Class.java:278)
        at org.apache.spark.serializer.JavaDeserializationStream$$anon$1.resolveClass(JavaSerializer.scala:67)
        at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1620)
        at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1521)
        at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1779)
        at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1353)
        at java.io.ObjectInputStream.readObject(ObjectInputStream.java:373)
        at org.apache.spark.ThrowableSerializationWrapper.readObject(TaskEndReason.scala:167)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:606)
        at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1058)
        at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1907)
        at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1806)
        at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1353)
        at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2016)
        at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1940)
        at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1806)
        at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1353)
        at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2016)
        at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1940)
        at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1806)
        at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1353)
        at java.io.ObjectInputStream.readObject(ObjectInputStream.java:373)
        at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:72)
        at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:98)
        at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$2.apply$mcV$sp(TaskResultGetter.scala:108)
        at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$2.apply(TaskResultGetter.scala:105)
        at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$2.apply(TaskResultGetter.scala:105)
        at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1699)
        at org.apache.spark.scheduler.TaskResultGetter$$anon$3.run(TaskResultGetter.scala:105)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        at java.lang.Thread.run(Thread.java:745)
16/12/15 09:54:50 ERROR TaskResultGetter: Could not deserialize TaskEndReason: ClassNotFound with classloader org.apache.spark.util.MutableURLClassLoader@51bc1897

Maybe I'm missing some settings or something, but the seldon docs is pretty confusing and there is not much about "most popular recommender".

I also found this file https://github.com/SeldonIO/seldon-server/blob/d1ec05a6f59b152eca438f1e67e2dc73a3879483/offline-jobs/spark/src/main/scala/io/seldon/spark/recommend/MostPopularJob.scala
but don't know how to use it.

Thanks
m.

[seldondev]

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