Hi Subash,

how is findOutliers implemented?

It might be that you mix-up local and cluster computation. All DataSets are
processed in the cluster. Please note the following:
- ExecutionEnvironment.fromCollection() transforms a client local
connection into a DataSet by serializing it and sending it to the cluster.
- DataSet.collect() transforms a DataSet into a collection and ships it
back to the client.

So, does findOutliers operate on the cluster or on the local client, i.e.,
does it work with DataSet and send the result back as a collection or does
it first collect the results as collection and operate on these?

Best, Fabian

2016-02-10 12:13 GMT+01:00 subash basnet <yasub...@gmail.com>:

> Hello Stefano,
>
> Yeah the type casting worked, thank you. But not able to print the Dataset
> to the file.
>
> The default below code which writes the KMeans points along with their
> centroid numbers to the file works fine:
>                 // feed new centroids back into next iteration
> DataSet<Centroid> finalCentroids = loop.closeWith(newCentroids);
> DataSet<Tuple2<Integer, Point>> clusteredPoints = points
> // assign points to final clusters
> .map(new SelectNearestCenter()).withBroadcastSet(finalCentroids,
> "centroids");
>               if (fileOutput) {
> clusteredPoints.writeAsCsv(outputPath, "\n", " ");
> // since file sinks are lazy, we trigger the execution explicitly
> env.execute("KMeans Example");
> }
>
> But my modified code below to find outlier:
> // feed new centroids back into next iteration
> DataSet<Centroid> finalCentroids = loop.closeWith(newCentroids);
> DataSet<Tuple2<Integer, Point>> clusteredPoints = points
> // assign points to final clusters
> .map(new SelectNearestCenter()).withBroadcastSet(finalCentroids,
> "centroids");
>                *DataSet<Tuple3> fElements =
> env.fromCollection(findOutliers(clusteredPoints, finalCentroids));*
>                if (fileOutput) {
> *fElements.writeAsCsv(outputPath, "\n", " ");*
> // since file sinks are lazy, we trigger the execution explicitly
> env.execute("KMeans Example");
> }
>
> It's not writing to the file, the *result *folder does not get created
> inside kmeans folder where my centers, points file are located. I am only
> able to print it to the console via *fElements.print();*
>
> Does it have something to do with *env.exectue("")*, which must be set
> somewhere in the previous case but not in my case.
>
>
>
> Best Regards,
> Subash Basnet
>
>
> On Tue, Feb 9, 2016 at 6:29 PM, Stefano Baghino <
> stefano.bagh...@radicalbit.io> wrote:
>
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>> for Automatic Cleanup! (stefano.bagh...@radicalbit.io) Add cleanup rule
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>>
>> Assuming your EnvironmentContext is named `env` Simply call:
>>
>> DataSet<Tuple3<Integer, Point, Boolean>> fElements = env.*fromCollection*
>> (finalElements);
>>
>> Does this help?
>>
>> On Tue, Feb 9, 2016 at 6:06 PM, subash basnet <yasub...@gmail.com> wrote:
>>
>>> Hello all,
>>>
>>> I have performed a modification in KMeans code to detect outliers. I
>>> have printed the output in the console but I am not able to write it to the
>>> file using the given 'writeAsCsv' method.
>>> The problem is I generate a list of tuples.
>>> My List is:
>>> List<Tuple3> finalElements = new ArrayList<Tuple3>();
>>> Following is the datatype of the elements added to the list:
>>> Tuple3<Integer, Point, Boolean> newElement = new Tuple3<Integer, Point,
>>> Boolean>();
>>> finalElements.add(newElement);
>>> Now I am stuck on how to convert this 'finalElements' to
>>> DataSet<Tuple3<Integer, Point, Boolean>> fElements,
>>> so that I could use
>>> fElements.writeAsCsv(outputPath, "\n"," ");
>>>
>>> Best Regards,
>>> Subash Basnet
>>>
>>
>>
>>
>> --
>> BR,
>> Stefano Baghino
>>
>> Software Engineer @ Radicalbit
>>
>>
>

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