Description Usage Arguments Details Value
Defines an L2 regularizer with optional feature-feature penalties and translation coefficients
1 |
l2 |
coefficient for the L2-norm penalty |
P |
p-by-p feature association penalty matrix |
m |
p-by-1 vector of translation coefficients |
The L2 regularizer term is define by
R2(w) = \frac{λ_2}{2} (w-m)^T P (w-m)
A regularizer definition that can be combined with a model definition using + operator
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