BayesianQDA
BayesianQDA
A model type for constructing a Bayesian quadratic discriminant analysis, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.
From MLJ, the type can be imported using
BayesianQDA = @load BayesianQDA pkg=MLJScikitLearnInterface
Do model = BayesianQDA()
to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in BayesianQDA(priors=...)
.
Hyper-parameters
priors = nothing
reg_param = 0.0
store_covariance = false
tol = 0.0001