Seonglae ChoGDA
GDA is commonly used for data classification when the data can be approximated with a normal distribution
object is to predict posterior density by the Bayes Theorem
phi is parameter for prior
- class prior is Bernoulli
- class conditional distribution is Normal
estimate mean, covariance becuz continuous
special case of MoG
