GitHub user brkyvz opened a pull request:
https://github.com/apache/spark/pull/5799
[SPARK-7242][SQL][MLLIB] Frequent items for DataFrames
Finding frequent items with possibly false positives, using the algorithm
described in `http://www.cs.umd.edu/~samir/498/karp.pdf`.
public API under:
```
df.stat.freqItems(cols: Array[String], support: Double = 0.001): DataFrame
```
The output is a local DataFrame having the input column names with
`-freqItems` appended to it. This is a single pass algorithm that may return
false positives, but no false negatives.
cc @mengxr @rxin
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/brkyvz/spark freq-items
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/5799.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #5799
----
commit 3d82168544a29e7e1ae1326ab933db7e78a72dcc
Author: Burak Yavuz <[email protected]>
Date: 2015-04-29T23:07:48Z
made base implementation
implemented frequent items
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