Thats correct :) On Mon, Nov 2, 2015 at 8:04 PM, YiZhi Liu <javeli...@gmail.com> wrote:
> Hi Holden, > > Yep the issue id is correct. It seems that you're waiting for > SPARK-11136 which Jayant is working on? > > Best, > Yizhi > > 2015-11-03 11:14 GMT+08:00 Holden Karau <hol...@pigscanfly.ca>: > > Hi YiZhi, > > > > I've been waiting on the shared param to go in (I think it was kmeans) > so we > > could have a common API. I think the issue is SPARK-7852 but I am on > mobile > > right now. > > > > Cheers, > > > > Holden :) > > > > > > On Monday, November 2, 2015, DB Tsai <dbt...@dbtsai.com> wrote: > >> > >> Hi YiZhi, > >> > >> Sure. I think Holden already created a JIRA for this. Please > >> coordinate with Holden, and keep me in the loop. Thanks. > >> > >> Sincerely, > >> > >> DB Tsai > >> ---------------------------------------------------------- > >> Web: https://www.dbtsai.com > >> PGP Key ID: 0xAF08DF8D > >> > >> > >> On Mon, Nov 2, 2015 at 7:32 AM, YiZhi Liu <javeli...@gmail.com> wrote: > >> > Hi Tsai, > >> > > >> > Is it proper if I create a jira and try to work on it? > >> > > >> > 2015-10-23 10:40 GMT+08:00 YiZhi Liu <javeli...@gmail.com>: > >> >> Thank you Tsai. > >> >> > >> >> Holden, would you mind posting the JIRA issue id here? I searched but > >> >> found nothing. Thanks. > >> >> > >> >> 2015-10-23 1:36 GMT+08:00 DB Tsai <dbt...@dbtsai.com>: > >> >>> There is a JIRA for this. I know Holden is interested in this. > >> >>> > >> >>> > >> >>> On Thursday, October 22, 2015, YiZhi Liu <javeli...@gmail.com> > wrote: > >> >>>> > >> >>>> Would someone mind giving some hint? > >> >>>> > >> >>>> 2015-10-20 15:34 GMT+08:00 YiZhi Liu <javeli...@gmail.com>: > >> >>>> > Hi all, > >> >>>> > > >> >>>> > I noticed that in ml.classification.LogisticRegression, users are > >> >>>> > not > >> >>>> > allowed to set initial coefficients, while it is supported in > >> >>>> > mllib.classification.LogisticRegressionWithSGD. > >> >>>> > > >> >>>> > Sometimes we know specific coefficients are close to the final > >> >>>> > optima. > >> >>>> > e.g., we usually pick yesterday's output model as init > coefficients > >> >>>> > since the data distribution between two days' training sample > >> >>>> > shouldn't change much. > >> >>>> > > >> >>>> > Is there any concern for not supporting this feature? > >> >>>> > > >> >>>> > -- > >> >>>> > Yizhi Liu > >> >>>> > Senior Software Engineer / Data Mining > >> >>>> > www.mvad.com, Shanghai, China > >> >>>> > >> >>>> > >> >>>> > >> >>>> -- > >> >>>> Yizhi Liu > >> >>>> Senior Software Engineer / Data Mining > >> >>>> www.mvad.com, Shanghai, China > >> >>>> > >> >>>> > --------------------------------------------------------------------- > >> >>>> To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org > >> >>>> For additional commands, e-mail: dev-h...@spark.apache.org > >> >>>> > >> >>> > >> >>> > >> >>> -- > >> >>> - DB > >> >>> > >> >>> Sent from my iPhone > >> >> > >> >> > >> >> > >> >> -- > >> >> Yizhi Liu > >> >> Senior Software Engineer / Data Mining > >> >> www.mvad.com, Shanghai, China > >> > > >> > > >> > > >> > -- > >> > Yizhi Liu > >> > Senior Software Engineer / Data Mining > >> > www.mvad.com, Shanghai, China > > > > > > > > -- > > Cell : 425-233-8271 > > Twitter: https://twitter.com/holdenkarau > > > > > > -- > Yizhi Liu > Senior Software Engineer / Data Mining > www.mvad.com, Shanghai, China > -- Cell : 425-233-8271 Twitter: https://twitter.com/holdenkarau
