What language are you using? For Java, you might convert the dataframe to
an rdd using something like this:
df
.toJavaRDD()
.map(row -> (SparseVector)row.getAs(row.fieldIndex("columnName")));
On Tue, Nov 15, 2016 at 1:06 PM, Russell Jurney <russell.jur...@gmail.com>
wrote:
> I have two dataframes with common feature vectors and I need to get the
> cosine similarity of one against the other. It looks like this is possible
> in the RDD based API, mllib, but not in ml.
>
> So, how do I convert my sparse dataframe vectors into something spark
> mllib can use? I've searched, but haven't found anything.
>
> Thanks!
> --
> Russell Jurney twitter.com/rjurney russell.jur...@gmail.com relato.io
>
--
Asher Krim
Senior Software Engineer
