View source: R/mxPenaltyFunctions.R
Ridge regression regularization
1 2 3 4 5 6 7 8 | mxRegularizeRidge(
what,
name,
lambda = 0,
lambda.step = 0.01,
lambda.max = 0.4,
lambda.min = NA
)
|
what |
A list of parameters to regularize |
name |
Name of the regularizer object |
lambda |
strength of the penalty to be applied at start (default 0) |
lambda.step |
lambda step during penalty search (default 0.01) |
lambda.max |
when to end the lambda search (default 0.4) |
lambda.min |
minimum lambda value (default lambda) |
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