Likelihood vs Probability

L(theta) vs Pr(y | x ; theta )

Consider likelihood and probability as a function of “theta” ( parameters ) and a function of y, x, and theta.

Consider a test set, given the test set, is constant, Pr will be a function of “theta” only — This is the likelihood

L(theta) ~ Pr(y|x; theta) when data is fixed.