No result for Movielens 100K Worked Example #23
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I have also an another question if possible: why seldon use both zookeeper and etcd while things are possible relying only on just etcd? Thank you in advance for your answer. |
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Can you rerun the ml100k job: cd kubernetes/conf/examples/ml100k And provide the logs? Regards zookeeper and etcd. We only use zookeeper in Seldon. Etcd is part of Kubernetes. |
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I'm not getting the official tutorial output either . I'm running Kubernetes locally via MiniKube . job "ml100k-import" created` `$kubectl get jobs -l name=ml100k-import NAME DESIRED SUCCESSFUL AGE Than when i run
This is it all : `$ bin/seldon-cli api --client-name ml100k --endpoint /js/recommendations --item 50 --limit 4 File "/opt/conda/lib/python2.7/site-packages/setuptools-18.5-py2.7.egg/pkg_resources/init.py", line 742, in run_script File "/opt/conda/lib/python2.7/site-packages/setuptools-18.5-py2.7.egg/pkg_resources/init.py", line 1667, in run_script When i run $Kubectl get pods i notice $kubectl describe pod seldon-server-553220162-23o53 12m 6s 48 {default-scheduler } Warning FailedScheduling pod (seldon-server-553220162-23o53) failed to fit in any node Knowing that i run `Name: minikubevm OutOfDisk False Tue, 02 Aug 2016 18:13:33 +0900 Tue, 02 Aug 2016 15:43:49 +0900 KubeletHasSufficientDisk kubelet has sufficient disk space available default influxdb-grafana-xl5ec 0 (0%) 0 (0%) 0 (0%) 0 (0%) 5m (0%) 0 (0%) 3642Mi (62%) 0 (0%) So does that mean i can't run this demo on Minikube ? |
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It does look like a memory issue. Can you try increasing e.g. |
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Yes , it worked with 10GB memory allocation . I got the desired output after executing but when i wanted to go through it step by step and reached the step to setup the schema using JSON:
Same error even though the file does exist under the seldon-server/docker/examples/ml100k directory , i retried with writing the whole path in the command but still same error msg that No such file or directory ! ? Same error with the following steps , but instead its "Invalid file[items.csv]" My machine is a MAC OSX ELCAPITAN , 16GB memory, so to "ensure we have a namesever for external DNS (seems to be required for local Docker running of Kubernetes)" I also tried Here's the whole log for the JSON schema: `connecting to zookeeper-1:2181,zookeeper-2:2181,zookeeper-3:2181 [SUCCEEDED] File "/opt/conda/bin/seldon-cli", line 4, in I can't spot a problem somewhere else ? `$kubectl get services --all-namespaces default kafka-service 10.0.0.87 9092/TCP 6h Same error with the Movie Lens 10M demo also . Thank you in advance . |
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I think this is because you are trying to run a command in the seldon-control container and it does not have access to the local files on your system. One way would be to move the required files to a location that seldon-control can access such as the /seldon-data if you are running with hostPath. We should make this clearer in the documentation. |
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I'm running commands from my terminal as an admin not from seldon-control container bash terminal .
I'm sorry i didn't get the last line , when i create /seldon-data directory on my minikube vm it tells me File already exists . I get that seldon-data is a volume shared between seldon-server container and seldon-control container : conf seldon-server me$ kubectl exec seldon-control ls /seldon-data conf Also the users.csv is empty when created ? so i edited it to Thank you in advance . |
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The main thing is you need to create the files in /seldon-data where seldon-control can see them. Create a folder /seldon-data/ml100k. cat <(echo 'id,title,release,url') <(cat ml-100k/u.item.utf8 | awk -F '|' '{printf("%d,"%s","%s","%s"\n",$1,$2,$3,$5)}') > /seldon-data/ml100k/items.csv and: seldon-cli attr --action apply --client-name ml100k --json /seldon-data/ml100k/attrs.json You can then run MF and setup algs as described. seldon-cli import --action actions --client-name ml100k --file-path /seldon-data/ml100k/actions.csv |
I am trying to run ml100k example. All things are all right but when I tape
seldon-cli api --client-name ml100k --endpoint /js/recommendations --item 50 --limit 4and get this resultwhich is different from what is mentioned in the tutorial.
Could you help me please?
Nadia
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