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Spark 7998 freq item api #6919
Spark 7998 freq item api #6919
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ok to test |
Test build #35377 has finished for PR 6919 at commit
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Test build #35396 has finished for PR 6919 at commit
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So, I'm wondering if the Scala-specific method actually needs to re-implement, or if it would be cleaner to just call mutable.copyToArray and pass it to the agnostic function. Any thoughts @rxin? |
@davies any review comments? |
ping @rxin |
ping @rxin ? |
Sorry need some time to think about this. |
No problem -- just wanted to make sure it was on your radar. On Wed, Jul 8, 2015 at 12:55 AM, Reynold Xin notifications@github.com
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@dwmclary do you mind closing this pull request? Discussed with Xiangrui Meng and Burak Yavuz offline. We are not going to change the API, but just update the documentation to explain more clearly the schema and how to get the frequent values out. |
Closed. On Wed, Aug 5, 2015 at 12:49 PM, Reynold Xin notifications@github.com
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Here's "a better frequent item API" which provides a DataFrame with each ArrayBuffer expanded into a column. There's surely some improvement that could be done here, but I think this is in the spirit of what the JIRA was asking for.