PredictionIO - Erreur lors de la formation du clusterage kmean

Question

J'ai suivi les instructions ci-dessous pour m'entraîner et déployer KMean clustering.

Mais je suis erreur avec le train pio:

 [WARN] [Template$] template.json does not exist. Template metadata will not be available. (This is safe to ignore if you are not working on a template.) 
     [INFO] [Runner$] Submission command: /home/lavalamp/PredictionIO/vendors/spark-1.4.1/bin/spark-submit --class io.prediction.workflow.CreateWorkflow --jars file:/home/lavalamp/PredictionIO/MyKmeans/target/scala-2.10/template-scala-parallel-vanilla_2.10-0.1-SNAPSHOT.jar,file:/home/lavalamp/PredictionIO/MyKmeans/target/scala-2.10/template-scala-parallel-vanilla-assembly-0.1-SNAPSHOT-deps.jar --files file:/home/lavalamp/PredictionIO/conf/log4j.properties --driver-class-path /home/lavalamp/PredictionIO/conf file:/home/lavalamp/PredictionIO/lib/pio-assembly-0.9.4.jar --engine-id gYCE4NX4ODPQkryp9Jq9by3OEXxa4fxQ --engine-version b972fa8f340c142fb6dffbebc6d276b3bb32eeda --engine-variant file:/home/lavalamp/PredictionIO/MyKmeans/engine.json --verbosity 0 --json-extractor Both 
     --env PIO_ENV_LOADED=1,PIO_STORAGE_SOURCES_MYSQL_PASSWORD=123456,PIO_STORAGE_REPOSITORIES_METADATA_NAME=pio_meta,PIO_FS_BASEDIR=/home/lavalamp/.pio_store,PIO_STORAGE_SOURCES_MYSQL_URL=jdbc:mysql://192.168.1.73/pio,PIO_HOME=/home/lavalamp/PredictionIO, 
     PIO_FS_ENGINESDIR=/home/lavalamp/.pio_store/engines,PIO_STORAGE_SOURCES_MYSQL_TYPE=jdbc,PIO_STORAGE_REPOSITORIES_METADATA_SOURCE=MYSQL,PIO_STORAGE_REPOSITORIES_MODELDATA_SOURCE=MYSQL, 
     PIO_STORAGE_REPOSITORIES_EVENTDATA_NAME=pio_event,PIO_STORAGE_SOURCES_MYSQL_USERNAME=root,PIO_FS_TMPDIR=/home/lavalamp/.pio_store/tmp, 
     PIO_STORAGE_REPOSITORIES_MODELDATA_NAME=pio_model,PIO_STORAGE_REPOSITORIES_EVENTDATA_SOURCE=MYSQL, 
     PIO_CONF_DIR=/home/lavalamp/PredictionIO/conf 


     Exception in thread "main" java.lang.ClassCastException: com.biglabs.VanillaEngine$ cannot be cast to io.prediction.controller.EngineFactory 

at io.prediction.workflow.WorkflowUtils$.getEngine(WorkflowUtils.scala:69) 
at io.prediction.workflow.CreateWorkflow$.liftedTree1$1(CreateWorkflow.scala:193) 
at io.prediction.workflow.CreateWorkflow$.main(CreateWorkflow.scala:192) 
at io.prediction.workflow.CreateWorkflow.main(CreateWorkflow.scala) 
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 org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:665) 
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:170) 
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:193) 
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:112) 
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) 

Quelqu'un peut-il me aider avec ce problème?

Answer 1

essayer cette solution, https://github.com/singsanj/KMeans-parallel-template

espère que cela résoudre vos problèmes. N'oubliez pas de mettre à jour les scripts/loadData.py avec votre clé d'accès à l'application nouvellement créée et engine.json avec votre appId.

si vous avez encore des problèmes .. heureux de résoudre.