BayesianLDA
BayesianLDAA model type for constructing a Bayesian linear discriminant analysis, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.
From MLJ, the type can be imported using
BayesianLDA = @load BayesianLDA pkg=MLJScikitLearnInterfaceDo model = BayesianLDA() to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in BayesianLDA(solver=...).
Hyper-parameters
solver = svdshrinkage = nothingpriors = nothingn_components = nothingstore_covariance = falsetol = 0.0001covariance_estimator = nothing