Update ALS o16n notebook with fixed conda env #1176
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loomlike
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anargyri,
gramhagen,
miguelgfierro and
yueguoguo
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Check out this pull request on Review Jupyter notebook visual diffs & provide feedback on notebooks. Powered by ReviewNB |
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hey Jun, let's discuss this internally |
miguelgfierro
approved these changes
Sep 21, 2020
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Description
Update ALS o16n notebook to address #1171 #1158 #900
Now the service script does:
if the app request top 10, it uses the cached result from CosmosDB. If the app request more than top 10 movies, (e.g. top 20), then it uses the deployed model to do recommendation real time by calling model.recommendForAllUsers(20).
Run time of CosmosDB lookup vs realtime recommendation was: 0.05 sec vs 3.93 sec.
Related Issues
#1171 #1158 #900
Checklist:
stagingand notmaster.