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.jurney@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!
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Asher Krim
Senior Software Engineer