SVM in classification.
SVM in classification.Try to find the hyperplane
as
minimize
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(where
if
, else
)
(in fact, we use a kernel instead of a dot product)
The
coefficients are given in C_ when you call the constructor. If this one is NULL, then the value given by the "C" option is used for all
. (The size of C_ must be data->n_real_examples)
Options:
"C" real trade off between the weight decay and the error [100] "cache size" real cache size (in Mo) [50]
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