update_rda_high_dim: Helper function to update tuning parameters for the HDRDA...
In topepo/sparsediscrim: Sparse and Regularized Discriminant Analysis
Description
Usage
Arguments
Value
Description
This function updates some of the quantities in the HDRDA classifier based on
updated values of lambda and gamma. The update can greatly
expedite cross-validation to examine a large grid of values for lambda
and gamma.
Usage
1
update_rda_high_dim(obj, lambda = 1, gamma = 0)
Arguments
obj
a rda_high_dim object
lambda
a numeric value between 0 and 1, inclusively
gamma
a numeric value (nonnegative)
Value
a rda_high_dim object with updated estimates
topepo/sparsediscrim documentation built on Dec. 23, 2021, 11:59 a.m.
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Description Usage Arguments Value
Description
This function updates some of the quantities in the HDRDA classifier based on
updated values of lambda and gamma. The update can greatly
expedite cross-validation to examine a large grid of values for lambda
and gamma.
Usage
1 | update_rda_high_dim(obj, lambda = 1, gamma = 0)
|
Arguments
obj |
a |
lambda |
a numeric value between 0 and 1, inclusively |
gamma |
a numeric value (nonnegative) |
Value
a rda_high_dim object with updated estimates
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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