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
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>>>>
>>>
>>>
>>> --
>>> - 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

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