I am reading the book now, and will refer to you if I have any questions then. Thanks.
On Fri, Apr 22, 2011 at 6:16 AM, Ted Dunning <ted.dunn...@gmail.com> wrote: > The trainlogistic command is (as Stanley says) only a simple example. > > You will need to write a program something like TrainNewsGroups for your > modelers to use. > > I agree that the API oriented code in Mahout is not what those users need. > I was, however, what my users needed. > > It would be great if you would like to contribute a good command line for > the more advanced SGD classifier training > API. > > On Tue, Apr 19, 2011 at 10:51 PM, Stanley Xu <wenhao...@gmail.com> wrote: > >> Hi Xiaobo, >> >> You could check the chapter 13-16 from <Mahout In Action>, it provided all >> the parameters the command line tool of 'mahout trainlogistic' could use. >> But the trainlogistic command is still only a simple example. If you wanted >> to use that in a production environment, you still have to write the feature >> encode code by yourself. The code you need to write is pretty easy, just >> parse the input and put that in a Vector and let the LR train the data. >> >> Best wishes, >> Stanley Xu >> >> >> >> >> On Tue, Apr 19, 2011 at 9:09 PM, XiaoboGu <guxiaobo1...@gmail.com> wrote: >> >>> Hi, >>> >>> Thanks for your reply, after some reading of the wiki pages, I think what >>> I want is a Logistic Regression command-line, since the target users of >>> Mahout are data analysts, who can't write Java code, a command line is more >>> convenient. Some specific questions are : >>> 1. What format should we apply when preparing data for logistic >>> regression, can we use csv, and should we put the value for the target >>> variable as the first column in every row the csv file. >>> 2. What options can we support to the command line if there is one. >>> 3. How can interpret the results. >>> >>> Because Logistic Regression is the working horse of credit scoring in >>> industry, I think it will make Mahout friends of more analysts if LR support >>> is smooth. >>> >>> Regards, >>> >>> Xiaobo Gu >>> >>> From: Ted Dunning [mailto:ted.dunn...@gmail.com] >>> Sent: Wednesday, April 13, 2011 1:02 AM >>> To: user@mahout.apache.org >>> Cc: Xiaobo Gu >>> Subject: Re: Is any more detailed documentation aout the sgd logistic >>> regression example. >>> >>> Can you be more specific about what you have and what you want? >>> >>> The book Mahout in Action provides quite a lot of details with sample code >>> for a server farm. >>> >>> The TrainNewsGroups example provides code that you can copy. >>> >>> Do you have these resources? Do you want more? Did you want more theory? >>> >>> On Tue, Apr 12, 2011 at 9:11 AM, Xiaobo Gu <guxiaobo1...@gmail.com> >>> wrote: >>> Hi, >>> Documents about sgd logistic regression itself are welcome too. >>> Regards, >>> >>> Xiaobo Gu >>> >>> >>> >> >
