Hello guys: I have a problem in loading recommend model. I have 2 models,
one is good(able to get recommend result) and another is not working. I checked
these 2 models, both are MatrixFactorizationModel object. But in the metadata,
one is a PipelineModel and another is a MatrixFactorizationModel. Is below
exception caused by this?
here are my stack trace:Exception in thread "main"
org.json4s.package$MappingException: Did not find value which can be converted
into java.lang.String
at org.json4s.reflect.package$.fail(package.scala:96)
at org.json4s.Extraction$.convert(Extraction.scala:554)
at org.json4s.Extraction$.extract(Extraction.scala:331)
at org.json4s.Extraction$.extract(Extraction.scala:42)
at
org.json4s.ExtractableJsonAstNode.extract(ExtractableJsonAstNode.scala:21)
at
org.apache.spark.mllib.util.Loader$.loadMetadata(modelSaveLoad.scala:131)
at
org.apache.spark.mllib.recommendation.MatrixFactorizationModel$.load(MatrixFactorizationModel.scala:330)
at
org.brave.spark.ml.RecommandForMultiUsers$.main(RecommandForMultiUsers.scala:55)
at
org.brave.spark.ml.RecommandForMultiUsers.main(RecommandForMultiUsers.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at
org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at
org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)The attached files are my codes, FYI. RecommandForMultiUsers.scala:55 is :val model = MatrixFactorizationModel.load(sc, modelpath) -------------------------------- Thanks&Best regards! San.Luo
codes to generate the bad model.scala
Description: Binary data
codes to generate the good model.scala
Description: Binary data
codes to load the model and generate the recommend result.scala
Description: Binary data
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