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https://issues.apache.org/jira/browse/PIO-105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16091221#comment-16091221
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ASF GitHub Bot commented on PIO-105:
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Github user takezoe commented on the issue:
https://github.com/apache/incubator-predictionio/pull/412
@mars These changes should work as same as original code completely, but
difference of code appearance might cause confusion. So these kind of changes
might have to be done at once (in an another pull request).
I think it's a reasonable decision that even if you don't apply these
changes in this pull request. 👍
> Batch Predictions
> -----------------
>
> Key: PIO-105
> URL: https://issues.apache.org/jira/browse/PIO-105
> Project: PredictionIO
> Issue Type: New Feature
> Components: Core
> Reporter: Mars Hall
> Assignee: Mars Hall
>
> Implement a new {{pio batchpredict}} command to enable massive, fast, batch
> predictions from a trained model. Read a multi-object JSON file as the input
> format, with one query object per line. Similarly, write results to a
> multi-object JSON file, with one prediction result + its original query per
> line.
> Currently getting bulk predictions from PredictionIO is possible with either:
> * a {{pio eval}} script, which will always train a fresh, unvalidated model
> before getting predictions
> * a custom script that hits the {{queries.json}} HTTP API, which is a serious
> bottleneck when requesting hundreds-of-thousands or millions of predictions
> Neither of these existing bulk-prediction hacks are adequate for the reasons
> mentioned.
> It's time for this use-case to be a firstclass command :D
> Pull request https://github.com/apache/incubator-predictionio/pull/412
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