This Class represents a MaxEnt model objects and hosts all the information related to the model.
Slots
results
matrix. The result that usually MaxEnt provide as a csv file.
reg
numeric. The value of the regularization multiplier used to train the model.
fc
character. The feature class combination used to train the model.
iter
numeric. The number of iterations used to train the model.
extra_args
character. Extra arguments used to run MaxEnt.
lambdas
vector. The lambdas parameters of the model.
coeff
data.frame. The lambda coefficients of the model.
formula
formula. The formula used to make prediction.
lpn
numeric. Linear Predictor Normalizer.
dn
numeric. Density Normalizer.
entropy
numeric. The entropy value.
min_max
data.frame. The minimum and maximum values of the continuous variables, used for clamping.