Re: Ability to offer initial coefficients in ml.LogisticRegression

2015-11-02 Thread YiZhi Liu
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 1:3

Re: Spark Implementation of XGBoost

2015-10-26 Thread YiZhi Liu
t;>> Meihua >>> >>> ----- >>> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >>> For additional commands, e-mail: user-h...@spark.apache.org >>> > >

Re: Ability to offer initial coefficients in ml.LogisticRegression

2015-10-22 Thread YiZhi Liu
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 &l

Re: Ability to offer initial coefficients in ml.LogisticRegression

2015-10-22 Thread YiZhi Liu
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.Logi

Ability to offer initial coefficients in ml.LogisticRegression

2015-10-20 Thread YiZhi Liu
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

Re: What is the difference between ml.classification.LogisticRegression and mllib.classification.LogisticRegressionWithLBFGS

2015-10-12 Thread YiZhi Liu
any problem. Thank you! 2015-10-08 1:15 GMT+08:00 Joseph Bradley <jos...@databricks.com>: > Hi YiZhi Liu, > > The spark.ml classes are part of the higher-level "Pipelines" API, which > works with DataFrames. When creating this API, we decided to separate it > from t

What is the difference between ml.classification.LogisticRegression and mllib.classification.LogisticRegressionWithLBFGS

2015-10-07 Thread YiZhi Liu
? Instead, it uses breeze.optimize.LBFGS and re-implements most of the procedures in mllib.optimization.{LBFGS,OWLQN}. Thank you. Best, -- Yizhi Liu Senior Software Engineer / Data Mining www.mvad.com, Shanghai, China