Forgot to add the more recent training material:
https://databricks-training.s3.amazonaws.com/index.html
On Fri, Feb 6, 2015 at 12:12 PM, Burak Yavuz wrote:
> Hi Luca,
>
> You can tackle this using RowMatrix (spark-shell example):
> ```
> import org.apache.spark.mllib.linalg.distributed.RowMatri
Hi Luca,
You can tackle this using RowMatrix (spark-shell example):
```
import org.apache.spark.mllib.linalg.distributed.RowMatrix
import org.apache.spark.mllib.random._
// sc is the spark context, numPartitions is the number of partitions you
want the RDD to be in
val data: RDD[Vector] = RandomR
Hi all,
this is my first email with this mailing list and I hope that I am not
doing anything wrong.
I am currently trying to define a distributed matrix with n rows and k
columns where each element is randomly sampled by a uniform distribution.
How can I do that?
It would be also nice if you can
