Hi, Here is a link that might help - https://databricks.com/blog/2016/01/25/deep-learning-with-spark-and-tensorflow.html
Thanks Pooja From: Nick Pentreath [mailto:nick.pentre...@gmail.com] Sent: Wednesday, February 24, 2016 1:11 AM To: user@spark.apache.org Subject: Re: About Tensor Factorization in Spark Not that I'm aware of - it would be a great addition as a Spark package! On Wed, 24 Feb 2016 at 06:33 Li Jiajia <jiaji...@gatech.edu<mailto:jiaji...@gatech.edu>> wrote: Thanks Nick. I found this one. This library is focusing on a particular application I guess, seems only implemented one tensor factorization algorithm by far, and only for three dimensional tensors. Are there Spark powered libraries supporting general tensors and the algorithms? Best regards! Jiajia Li ------------------------------------------ E-mail: jiaji...@gatech.edu<mailto:jiaji...@gatech.edu> Tel: +1 (404)9404603 Computational Science & Engineering Georgia Institute of Technology On Feb 23, 2016, at 11:12 PM, Nick Pentreath <nick.pentre...@gmail.com<mailto:nick.pentre...@gmail.com>> wrote: There is this library that I've come across - https://github.com/FurongHuang/SpectralLDA-TensorSpark On Wed, 24 Feb 2016 at 05:50, Li Jiajia <jiaji...@gatech.edu<mailto:jiaji...@gatech.edu>> wrote: Hi, I wonder if there are tensor algorithms or tensor data structures supported by Spark MLlib or GraphX. In a Spark intro slide, tensor factorization is mentioned as one of the algorithms in GraphX, but I didn't find it in the guide. If not, do you plan to implement them in the future? I’m new to Spark, please give some detailed explanation if possible. Thanks in advance. Best regards! Jiajia Li ------------------------------------------ E-mail: jiaji...@gatech.edu<mailto:jiaji...@gatech.edu> Tel: +1 (404)9404603 Computational Science & Engineering Georgia Institute of Technology ______________________________________________________________________________ The Boston Consulting Group, Inc. This e-mail message may contain confidential and/or privileged information. If you are not an addressee or otherwise authorized to receive this message, you should not use, copy, disclose or take any action based on this e-mail or any information contained in the message. If you have received this material in error, please advise the sender immediately by reply e-mail and delete this message. Thank you.
