Trains and test prediction models
Usage
traintest(
y_train,
X_train,
y_test = NULL,
X_test = NULL,
family,
alpha,
method = c("glm.separate", "glm.transfer", "sparselink", "glm.common"),
alpha.init,
type
)Arguments
- y_train
target of training samples: vector of length n
- X_train
features of training samples: n x p matrix
- y_test
target of testing samples: vector of length m
- X_test
features of testing samples m x p matrix
- family
character "gaussian" or "binomial"
- alpha
elastic net mixing paramter
- method
character vector
- alpha.init
elastic net mixing parameter for initial regressions
- type
character