internal function that implements the class construction with explicit list of parameters
ncls - number of class labels
nftr - number of features
nval - number of values per each feature (assuming nominal - discrete finite-valued - features)
cpriors - prior probability distribution over class labels
eqss - equivalent sample sizes for each class (by deafult, each class was seen at least once)
ppriors - prior estimates of the probabilities P(f|C) (used for Bayesian parameter estimation
with equivalent sample size method)
Determine whether the input and output buffers are the expected
object type (String[]) and that they have enough slots to hold
the required input and output variables.
Determine whether the input and output buffers are the expected
object type (String[]) and that they have enough slots to hold
the required input and output variables.