Re: About Tensor Factorization in Spark

2016-02-24 Thread Li Jiajia
25/deep-learning-with-spark-and-tensorflow.html> > > Thanks > Pooja > > From: Nick Pentreath [mailto:nick.pentre...@gmail.com > <mailto:nick.pentre...@gmail.com>] > Sent: Wednesday, February 24, 2016 1:11 AM > To: user@spark.apache.org <mailto:user@spark.apache.org

RE: About Tensor Factorization in Spark

2016-02-24 Thread Chadha Pooja
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

Re: About Tensor Factorization in Spark

2016-02-24 Thread Li Jiajia
I see. Thanks very much, Nick! I’m thinking to take this as my class project. :-) Best regards! Jiajia Li -- E-mail: jiaji...@gatech.edu Tel: +1 (404)9404603 Computational Science & Engineering Georgia Institute of Technology > On Feb 24, 2016, at 1:10 AM

Re: About Tensor Factorization in Spark

2016-02-23 Thread Nick Pentreath
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 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

Re: About Tensor Factorization in Spark

2016-02-23 Thread Li Jiajia
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! J

Re: About Tensor Factorization in Spark

2016-02-23 Thread Nick Pentreath
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 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 > fac