The short answer is there is none and highly unlikely to be inside of Spark MLlib any time in the near future.
The best bets are to look at other DL libraries - for JVM there is Deeplearning4J and BigDL (there are others but these seem to be the most comprehensive I have come across) - that run on Spark. Also there are various flavours of TensorFlow / Caffe on Spark. And of course the libs such as Torch, Keras, Tensorflow, MXNet, Caffe etc. Some of them have Java or Scala APIs and some form of Spark integration out there in the community (in varying states of development). Integrations with Spark are a bit patchy currently but include the "XOnSpark" flavours mentioned above and TensorFrames (again, there may be others). On Thu, 23 Feb 2017 at 14:23 n1kt0 <nikita.balysc...@googlemail.com> wrote: > Hi, > can anyone tell me what the current status about RNNs in Spark is? > > > > -- > View this message in context: > http://apache-spark-developers-list.1001551.n3.nabble.com/Implementation-of-RNN-LSTM-in-Spark-tp14866p21060.html > Sent from the Apache Spark Developers List mailing list archive at > Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > >
