Description Usage Arguments Details Examples
Generate SAS DATA step code to predict the values of a bagged Multivariate Adaptive Regression Splines (MARS) model from the caret package.
1 | bagEarth2sas(fit, name = "prediction", drop = TRUE)
|
fit |
a bagged MARS model trained by |
name |
the name of the variable in which to store the prediction |
drop |
whether to drop the variables for the individual trees |
This function supports regression and binary classification (when
earth
is called with glm=list(family=binomial)
.
This function supports only numeric variables, so any factors must first be
converted to numeric variables (as train
normally does).
In the case of binary classification, the predicted values are probabilities (not log-odds).
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