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From Holden Karau <hol...@pigscanfly.ca>
Subject Re: Ability to offer initial coefficients in ml.LogisticRegression
Date Tue, 03 Nov 2015 08:25:55 GMT
Thats correct :)

On Mon, Nov 2, 2015 at 8:04 PM, YiZhi Liu <javelinjs@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 <holden@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 <dbtsai@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 <javelinjs@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 <javelinjs@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 <dbtsai@dbtsai.com>:
> >> >>> There is a JIRA for this. I know Holden is interested in this.
> >> >>>
> >> >>>
> >> >>> On Thursday, October 22, 2015, YiZhi Liu <javelinjs@gmail.com>
> wrote:
> >> >>>>
> >> >>>> Would someone mind giving some hint?
> >> >>>>
> >> >>>> 2015-10-20 15:34 GMT+08:00 YiZhi Liu <javelinjs@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-unsubscribe@spark.apache.org
> >> >>>> For additional commands, e-mail: dev-help@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

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