Hi,
I have used GLM.dml to create a model using some sample data. It returns to
me the matrix of Beta, B.
Now I want to use this matrix of Beta on a new set of data points and
generate predicted value of the dependent variable/observation.
When I checked GLMpredict, I could see that one can pass feature vector
for the new data set and also the matrix of beta.
But I could not see any way to get the predicted value of the dependent
variable/observation. The output parameter only supports matrix of
predicted means/probabilities.
Is there a way one can get the predicted value of the dependent
variable/observation from GLMpredict ?
Regards,
Sourav
