Hi Gabriel, > I wanted to know how you are able to find >> the Y vector which is the expected output of the regression for the >> input data? Am I understanding correctly?
You have to run the code with x_1,x_2,...,x_n and measure the y values for those input values. Best, Patrick On 22/02/18 05:41 PM, Gabriel Laberge wrote: > Hi, > I understand but what I meant is that to train a logistic regression > you need data that is made of a X matrix which represents the input > data. Lets say we have 'm' examples. We also need a Y vector which > represent the expected outputs for each of the 'm' training example. > The training process is simply fitting the weights of the regression > so the output of the regression is almost always outputs the right Y > when you give an input X. I wanted to know how you are able to find > the Y vector which is the expected output of the regression for the > input data? Am I understanding correctly? > > Zahra Khatami <z.khatam...@gmail.com> a écrit : > >> Gabriel, >> >> I am not sure if I understand your concern correctly. The optimal >> parameters ( chunk size, preferching distance or policies) shouldn’t be >> found before training data. They are found for each of the hpx loops at >> runtime based on the loop static and dynamic parameters. That’s a main goal >> of this research. The candidates of these optimal parameters are chosen >> when training model. Then the optimal one will be selected between them at >> runtime, which may be different for each loop with different parameters. >> >> Thanks, >> Zahra, >> >> On Tue, Feb 20, 2018 at 7:51 AM Gabriel Laberge <gabriel.labe...@polymtl.ca> >> wrote: >> >>> Hi, >>> I had a questions on the way data was generated in order to train the >>> logistics regressions models talked about in [0] >>> https://arxiv.org/pdf/1711.01519.pdf >>> For each of the training examples, the optimal execution >>> policies,chunk sizes and prefetching distance had to be found before >>> the training process in order to have good data. I wonder if the >>> optimal parameters for the training examples were found by trial and >>> error or if there is another technique. >>> Thank you.. >>> >>> >>> >>> _______________________________________________ >>> hpx-users mailing list >>> hpx-users@stellar.cct.lsu.edu >>> https://mail.cct.lsu.edu/mailman/listinfo/hpx-users >>> >> -- >> Best Regards, Zahra Khatami | PhD Student Center for Computation & >> Technology (CCT) School of Electrical Engineering & Computer Science >> Louisiana State University 2027 Digital Media Center (DMC) Baton Rouge, LA >> 70803 > > > > _______________________________________________ > hpx-users mailing list > hpx-users@stellar.cct.lsu.edu > https://mail.cct.lsu.edu/mailman/listinfo/hpx-users > _______________________________________________ hpx-users mailing list hpx-users@stellar.cct.lsu.edu https://mail.cct.lsu.edu/mailman/listinfo/hpx-users
