Hi Dimple,
take a look to existing transformers:
https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/ml/feature/OneHotEncoder.scala
https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/ml/feature/Tokenizer.scala
https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/ml/feature/HashingTF.scala
(*it's for spark-1.4)

The idea is just to implement class that extends Transformer withHasInputColwithHasOutputCol (if your transformer 1:1 column transformer) and has

deftransform(dataset: DataFrame):DataFrame

method.

Thanks,
Peter
On 2015-06-02 20:19, dimple wrote:
Hi,
I would like to embed my own transformer in the Spark.ml Pipleline but do
not see an example of it. Can someone share an example of which
classes/interfaces I need to extend/implement in order to do so. Thanks.

Dimple



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