Re: Fwd: machine learning API, common models

2016-05-30 Thread Simone Robutti
ike > > > > > > semantics that can be executed on Spark/Flink/H2O. > > > > > > > > > > > > @Kam: the document u point out is old and outdated, the most > > > up-to-date > > > > > > reference to the Samsara

Re: Fwd: machine learning API, common models

2016-05-27 Thread Kam Kasravi
; > > :) ) > > > > > > > > > > We added Flink DataSet API in the recent Mahout 0.12.0 release > (April > > > 11, > > > > > 2016) and has been called out in my talk at ApacheBigData in > > Vancouver > > > > last >

Re: Fwd: machine learning API, common models

2016-05-22 Thread Henry Saputra
Flink DataSet API in the recent Mahout 0.12.0 release (April > > 11, > > > > 2016) and has been called out in my talk at ApacheBigData in > Vancouver > > > last > > > > week. > > > > > > > > The Mahout community would definitely be inter

Re: Fwd: machine learning API, common models

2016-05-21 Thread Simone Robutti
sharing notes. > > > > > > IMHO, the focus should be first on building a good linalg foundations > > > before embarking on building algos and pipelines. Adding @dlyubimov to > > this. > > > > > > > > > > > > -- Forwarded message --

Re: Fwd: machine learning API, common models

2016-05-20 Thread Frances Perry
> > > > The Mahout community would definitely be interested in being involved > > with > > > this and sharing notes. > > > > > > IMHO, the focus should be first on building a good linalg foundations > > > before embarking on building algos and pipelines. Adding @dlyubimov t

Re: Fwd: machine learning API, common models

2016-05-20 Thread Henry Saputra
ilding a good linalg foundations > > before embarking on building algos and pipelines. Adding @dlyubimov to > this. > > > > > > > > -- Forwarded message -- > > From: Simone Robutti > > Date: Tue, May 17, 2016 at 9:48 AM > > Subjec

Re: Fwd: machine learning API, common models

2016-05-19 Thread Jianfeng Qian
; this and sharing notes. > > IMHO, the focus should be first on building a good linalg foundations > before embarking on building algos and pipelines. Adding @dlyubimov to this. > > > > -- Forwarded message -- > From: Simone Robutti > Date: Tue, May 17

RE: machine learning API, common models

2016-05-17 Thread Kavulya, Soila P
Simone Robutti > Date: Tue, May 17, 2016 at 9:48 AM > Subject: Fwd: machine learning API, common models > To: Suneel Marthi > > > > -- Forwarded message ------ > From: Kavulya, Soila P > Date: 2016-05-17 1:53 GMT+02:00 > Subject: RE: machine learning API,

Re: machine learning API, common models

2016-05-17 Thread Tyler Akidau
com.INVALID] > Sent: Friday, May 13, 2016 6:34 PM > To: dev@beam.incubator.apache.org > Subject: Re: machine learning API, common models > > Hi Kam & Soila, > > Thanks a lot for writing this up. I ran the doc past some of the folks > who've been doing ML work here a

Re: machine learning API, common models

2016-05-17 Thread Suneel Marthi
nvolved with > this and sharing notes. > > IMHO, the focus should be first on building a good linalg foundations > before embarking on building algos and pipelines. Adding @dlyubimov to this. > > > > -- Forwarded message -- > From: Simone Robutti > Date

Fwd: machine learning API, common models

2016-05-17 Thread Suneel Marthi
bject: Fwd: machine learning API, common models To: Suneel Marthi -- Forwarded message -- From: Kavulya, Soila P Date: 2016-05-17 1:53 GMT+02:00 Subject: RE: machine learning API, common models To: "dev@beam.incubator.apache.org" Thanks Simone, You have raised a val

RE: machine learning API, common models

2016-05-16 Thread Kavulya, Soila P
descent. Soila -Original Message- From: Kam Kasravi [mailto:kamkasr...@gmail.com] Sent: Monday, May 16, 2016 8:22 AM To: dev@beam.incubator.apache.org Subject: Re: machine learning API, common models Thanks Simone - yes I had read your concerns on dev and I think they're well founded. T

Re: machine learning API, common models

2016-05-16 Thread Kam Kasravi
pipelines at present. > > > > Could you point me to the updated runner API? > > > > Soila > > > > -Original Message- > > From: Tyler Akidau [mailto:taki...@google.com.INVALID] > > Sent: Friday, May 13, 2016 6:34 PM > > To: dev@beam.incubator

Re: machine learning API, common models

2016-05-16 Thread Simone Robutti
google.com.INVALID] > Sent: Friday, May 13, 2016 6:34 PM > To: dev@beam.incubator.apache.org > Subject: Re: machine learning API, common models > > Hi Kam & Soila, > > Thanks a lot for writing this up. I ran the doc past some of the folks > who've been doing ML work here

RE: machine learning API, common models

2016-05-13 Thread Kavulya, Soila P
] Sent: Friday, May 13, 2016 6:34 PM To: dev@beam.incubator.apache.org Subject: Re: machine learning API, common models Hi Kam & Soila, Thanks a lot for writing this up. I ran the doc past some of the folks who've been doing ML work here at Google, and they were generally happy with the dis

Re: machine learning API, common models

2016-05-13 Thread Tyler Akidau
Hi Kam & Soila, Thanks a lot for writing this up. I ran the doc past some of the folks who've been doing ML work here at Google, and they were generally happy with the distillation of common methods in the doc. I'd be curious to hear what folks on the Flink- and Spark- runner sides think. To me,

Re: machine learning API, common models

2016-05-13 Thread Kam Kasravi
Hi Tyler - my bad. Comments should be enabled now. On Fri, May 13, 2016 at 10:45 AM, Tyler Akidau wrote: > Thanks a lot, Kam. Can you please enable comment access on the doc? I seem > to have view access only. > > -Tyler > > On Fri, May 13, 2016 at 9:54 AM Kam Kasravi wrote: > > > Hi > > > > A

Re: machine learning API, common models

2016-05-13 Thread Tyler Akidau
Thanks a lot, Kam. Can you please enable comment access on the doc? I seem to have view access only. -Tyler On Fri, May 13, 2016 at 9:54 AM Kam Kasravi wrote: > Hi > > A number of readers have made comments on this topic recently. We have > created a document that does some analysis of common M

machine learning API, common models

2016-05-13 Thread Kam Kasravi
Hi A number of readers have made comments on this topic recently. We have created a document that does some analysis of common ML models and related APIs. We hope this can drive an approach that will result in an API, compatibility matrix and involvement from the same groups that are implementing