anyone ?
I know that there isn't much experience yet with Couchbase connector
On Tue, Dec 1, 2015 at 4:12 PM, Eyal Sharon wrote:
> Hi ,
>
> I am still having problems with Couchbase connector . Consider the
> following code fragment which aims to create a Json document t
Hi ,
I am still having problems with Couchbase connector . Consider the
following code fragment which aims to create a Json document to send to
Couch
*val muCache = { val values =
JsonArray.from(mu.toArray.map(_.toString)) val content =
JsonObject.create().put("feature_mean",
values).put("
'
>
> You might want to have a look at these too:
> -
> http://stackoverflow.com/questions/23821576/efficient-conversion-of-java-util-listjava-lang-double-to-scala-listdouble
> - https://docs.oracle.com/javase/7/docs/api/java/lang/Double.html
> - http://www.scala-lang.org/api/c
Hi ,
I have problem with inferring what are the types bug here
I have this code fragment . it parse Json to Array[Double]
*val muCouch = { val e = input.filter( _.id=="mu")(0).content() val
b = e.getArray("feature_mean") for (i <- 0 to e.getInt("features") )
yield b.getDouble(i)}.toArra
sion-used-to-compile-a-class-file
>>
>> On Thu, Nov 26, 2015 at 8:55 AM, Eyal Sharon wrote:
>>
>>> Hi ,
>>> Great , that gave some directions. But can you elaborate more? or share
>>> some post
>>> I am currently running JDK 7 , and my Couchbas
untime.
>
> When building, target JDK 1.7
>
> There're plenty of posts on the web for dealing with such error.
>
> Cheers
>
> On Thu, Nov 26, 2015 at 7:31 AM, Eyal Sharon wrote:
>
>> Hi,
>>
>> I am trying to set a connection to Couchbase. I am at th
Hi,
I am trying to set a connection to Couchbase. I am at the very beginning,
and I got stuck on this exception
Exception in thread "main" java.lang.UnsupportedClassVersionError:
com/couchbase/spark/StoreMode : Unsupported major.minor version 52.0
Here is the simple code fragment
val sc =
Hi All,
I'm running a streaming application, the application should send an
output to an external source
This piece of code send the Dstream to graphite.
streamDataRow.foreachRDD { rdd =>
rdd.foreachPartition { partitionOfRecords =>
val graphite = new GraphiteClient(new InetSocketAddress
Hi ,
I have been trying to apply an Anomaly Detection model using Spark MLib.
I am using this library
org.apache.spark.mllib.stat.distribution.MultivariateGaussian
As an input, I give the model a mean vector and a Covariance matrix,
assuming my features have Covariance , hence the covariane