select_svm_bin: Function to cross validate binary model
In AKLLaursen/svmfortopic: Package providing all data and programs used in the topic XXX by Andreas Keller Leth Laursen
Description
Function to cross validate binary model
Usage
1
2
3
select_svm_bin(input_frame, kernel = "linear", min.lag = 7,
cost = 10^seq(-2, 1, 0.1), max.polynomial = 4, gamma = 10^seq(-6, 1,
0.5), coef0 = -10^seq(-1, 1, 0.1), cachesize = 500, cores = 8L)
AKLLaursen/svmfortopic documentation built on May 5, 2019, 11:30 a.m.
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Description
Function to cross validate binary model
Usage
1 2 3 | select_svm_bin(input_frame, kernel = "linear", min.lag = 7,
cost = 10^seq(-2, 1, 0.1), max.polynomial = 4, gamma = 10^seq(-6, 1,
0.5), coef0 = -10^seq(-1, 1, 0.1), cachesize = 500, cores = 8L)
|
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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