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https://issues.apache.org/jira/browse/DATAFU-21?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14108701#comment-14108701
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Matthew Hayes commented on DATAFU-21:
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I can view the RB now, thanks :)
Okay I see. Do you think it would be useful to also generate a plot where the
x-axis is the weight and the y-axis is the percentage of time the item with
that weight is selected? Would this help comparing the two sampling methods?
Something else that may help is to bucket the weights, given that they are
randomly generated (I'm assuming).
[~mengxr], do you have any suggestions on evaluation?
> Probability weighted sampling without reservoir
> -----------------------------------------------
>
> Key: DATAFU-21
> URL: https://issues.apache.org/jira/browse/DATAFU-21
> Project: DataFu
> Issue Type: New Feature
> Environment: Mac OS, Linux
> Reporter: jian wang
> Assignee: jian wang
> Attachments: DATAFU-21.patch
>
>
> This issue is used to track investigation on finding a weighted sampler
> without using internal reservoir.
> At present, the SimpleRandomSample has implemented a good
> acceptance-rejection sampling algo on probability random sampling. The
> weighted sampler could utilize the simple random sample with slight
> modification.
> One slight modification is: the present simple random sample generates a
> uniform random number lies between (0, 1) as the random variable to accept or
> reject an item. The weighted sample may generate this random variable based
> on the item's weight and this random number still lies between (0, 1) and
> each item's random variable remain independent between each other.
> Need further think and experiment the correctness of this solution and how to
> implement it in an effective way.
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