Can you show me where on the AML site it says to store models in HDFS, it
should not say that? I think that may be from the PIO site so you should
ignore it.
Can you share your pio-env? You need to go through the whole workflow from
pio build, pio train, to pio deploy using a template from the same
directory and with the same engine.json and pio-env and I suspect something
is wrong in pio-env.
From: Anuj Kumar <anuj.ku...@timesinternet.in> <anuj.ku...@timesinternet.in>
Date: June 19, 2018 at 1:28:11 AM
To: p...@occamsmachete.com <p...@occamsmachete.com> <p...@occamsmachete.com>
Cc: user@predictionio.apache.org <user@predictionio.apache.org>
<user@predictionio.apache.org>, actionml-u...@googlegroups.com
<actionml-u...@googlegroups.com> <actionml-u...@googlegroups.com>
Subject: Re: java.util.NoSuchElementException: head of empty list when
running train
Tried with basic engine.json mentioned at UL site examples. Seems to work
but got stuck at "pio deploy" throwing following error
[ERROR] [OneForOneStrategy] Failed to invert: [B@35c7052
before that "pio train" was successful but gave following error. I suspect
because of this reason "pio deploy" is not working. Please help
[ERROR] [HDFSModels] File /models/pio_modelAWQXIr4APcDlNQi8DwVj could only
be replicated to 0 nodes instead of minReplication (=1). There are 0
datanode(s) running and no node(s) are excluded in this operation.
at
org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:1726)
at
org.apache.hadoop.hdfs.server.namenode.FSDirWriteFileOp.chooseTargetForNewBlock(FSDirWriteFileOp.java:265)
at
org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:2565)
at
org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:829)
at
org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:510)
at
org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
at
org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:447)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:989)
at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:850)
at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:793)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1840)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2489)
On Tue, Jun 19, 2018 at 10:45 AM Anuj Kumar <anuj.ku...@timesinternet.in>
wrote:
> Sure, here it is.
>
> {
>
> "comment":" This config file uses default settings for all but the
> required values see README.md for docs",
>
> "id": "default",
>
> "description": "Default settings",
>
> "engineFactory": "com.actionml.RecommendationEngine",
>
> "datasource": {
>
> "params" : {
>
> "name": "sample-handmad",
>
> "appName": "np",
>
> "eventNames": ["read", "search", "view", "category-pref"],
>
> "minEventsPerUser": 1,
>
> "eventWindow": {
>
> "duration": "300 days",
>
> "removeDuplicates": true,
>
> "compressProperties": true
>
> }
>
> }
>
> },
>
> "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",
>
> "spark.executor.memory": "4g",
>
> "spark.executor.cores": "2",
>
> "spark.task.cpus": "2",
>
> "spark.default.parallelism": "16",
>
> "es.index.auto.create": "true"
>
> },
>
> "algorithms": [
>
> {
>
> "comment": "simplest setup where all values are default, popularity
> based backfill, must add eventsNames",
>
> "name": "ur",
>
> "params": {
>
> "appName": "np",
>
> "indexName": "np",
>
> "typeName": "items",
>
> "blacklistEvents": [],
>
> "comment": "must have data for the first event or the model will
> not build, other events are optional",
>
> "indicators": [
>
> {
>
> "name": "read"
>
> },{
>
> "name": "search",
>
> "maxCorrelatorsPerItem": 5
>
> },{
>
> "name": "category-pref",
>
> "maxCorrelatorsPerItem": 50
>
> },{
>
> "name": "view",
>
> "maxCorrelatorsPerItem": 50
>
> }
>
> ],
>
> "expireDateName": "itemExpiry",
>
> "dateName": "date",
>
> "num": 5
>
> }
>
> }
>
> ]
>
> }
>
>
> On Mon, Jun 18, 2018 at 8:55 PM Pat Ferrel <p...@occamsmachete.com> wrote:
>
>> This sounds like some missing required config in engine.json. Can you
>> share the file?
>>
>>
>> From: Anuj Kumar <anuj.ku...@timesinternet.in>
>> <anuj.ku...@timesinternet.in>
>> Reply: user@predictionio.apache.org <user@predictionio.apache.org>
>> <user@predictionio.apache.org>
>> Date: June 18, 2018 at 5:05:22 AM
>> To: user@predictionio.apache.org <user@predictionio.apache.org>
>> <user@predictionio.apache.org>
>> Subject: java.util.NoSuchElementException: head of empty list when
>> running train
>>
>> Getting this while running "pio train". Please help
>>
>> Exception in thread "main" java.util.NoSuchElementException: head of
>> empty list
>>
>> at scala.collection.immutable.Nil$.head(List.scala:420)
>>
>> at scala.collection.immutable.Nil$.head(List.scala:417)
>>
>> at
>> org.apache.mahout.math.cf.SimilarityAnalysis$.crossOccurrenceDownsampled(SimilarityAnalysis.scala:177)
>>
>> at com.actionml.URAlgorithm.calcAll(URAlgorithm.scala:343)
>>
>> at com.actionml.URAlgorithm.train(URAlgorithm.scala:295)
>>
>> at com.actionml.URAlgorithm.train(URAlgorithm.scala:180)
>>
>> at
>> org.apache.predictionio.controller.P2LAlgorithm.trainBase(P2LAlgorithm.scala:49)
>>
>> at
>> org.apache.predictionio.controller.Engine$$anonfun$18.apply(Engine.scala:690)
>>
>> at
>> org.apache.predictionio.controller.Engine$$anonfun$18.apply(Engine.scala:690)
>>
>> at
>> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
>>
>> at
>> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
>>
>> at scala.collection.immutable.List.foreach(List.scala:381)
>>
>> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
>>
>> at scala.collection.immutable.List.map(List.scala:285)
>>
>> at org.apache.predictionio.controller.Engine$.train(Engine.scala:690)
>>
>> at org.apache.predictionio.controller.Engine.train(Engine.scala:176)
>>
>> at
>> org.apache.predictionio.workflow.CoreWorkflow$.runTrain(CoreWorkflow.scala:67)
>>
>> at
>> org.apache.predictionio.workflow.CreateWorkflow$.main(CreateWorkflow.scala:251)
>>
>> at
>> org.apache.predictionio.workflow.CreateWorkflow.main(CreateWorkflow.scala)
>>
>> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>>
>> at
>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>>
>> at
>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>>
>> at java.lang.reflect.Method.invoke(Method.java:498)
>>
>> at
>> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:743)
>>
>> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:187)
>>
>> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:212)
>>
>> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:126)
>>
>> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
>>
>>
>> --
>> -
>> Best,
>> Anuj Kumar
>>
>>
>
> --
> -
> Best,
> Anuj Kumar
>
--
-
Best,
Anuj Kumar
