I am trying to use the "mars" function from "mda" package and cannot figure out
how to specify the response weights "wp" parameter. I have tried a vector of
size = num_observations as well as num_levels of my response, but in both
cases, the function fails with some error about invalid array l
I want to create natural cubic spline on my predictors and fit them to a linear
model. The DF and Degree of all the splines are the same. I noticed that I
can setup the lm() formula as y~ns(x1, df=5) + ns(x2, df=5).
My problem is that I have a huge number of predictors (hundreds). ns however
I am using SVM in R via package e1071 package. Is it possible to obtain
probabilities of the classification for the test set based on distances from
the classification planes? This seems possible in Linear Discriminant Analysis
(via lda function in MASS package) through the posterior probabil
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