Dear Ryan,
Thank you very much for your help. I am using the modified version now and
it scales much better.
Best regards,
Anisa Llaveshi
On Fri, Aug 24, 2018 at 4:09 AM Ryan Curtin wrote:
> On Thu, Aug 23, 2018 at 03:06:48PM +0200, Anisa Llaveshi wrote:
> > Dear Ryan,
> >
> > Thank you for
On Thu, Aug 23, 2018 at 03:06:48PM +0200, Anisa Llaveshi wrote:
> Dear Ryan,
>
> Thank you for your quick response. I double checked and I am afraid that is
> not the case. The matrix that I am providing as input to the model is a 1xN
> matrix. I explicitly check the number of rows (1) and the
Dear Ryan,
Thank you for your quick response. I double checked and I am afraid that is
not the case. The matrix that I am providing as input to the model is a 1xN
matrix. I explicitly check the number of rows (1) and the number of columns
(N) of the matrix. The model would not even allow that
On Mon, Aug 20, 2018 at 10:52:15AM +0200, Anisa Llaveshi wrote:
> Greetings,
>
> I have recently started using mlpack for a C++ application and I came
> across a problem that I haven't been able to solve. I am using Linear
> Regression to learn the parameters of a linear model. My training data
Greetings,
I have recently started using mlpack for a C++ application and I came
across a problem that I haven't been able to solve. I am using Linear
Regression to learn the parameters of a linear model. My training data is a
vector of 1-dimensional points. It consists of a vector of type double
