Gaussian Discriminant Analysis – base for LDA and QDA
Notes
Available conditional attributes:
(Conditional attributes enabled by default suffixed with +)
Initialize a GDA classifier.
Parameters : | prior :
enable_ca : None or list of str
disable_ca : None or list of str
auto_train : bool
force_train : bool
space: str, optional :
postproc : Node instance, optional
descr : str
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Co-variances per class, but “vars” is taken ;)
Means of features per class
Number of samples per class - used by derived classes
Class probabilities
Labels classifier was trained on