s has a method <cite>train()</cite> with argument <cite>pre_trained</cite>, which determines whether to train the framework again or load the latest optimal model. However, there are additional arguments to the <cite>train()</cite> method:n”,
“n”,
“1. The first arugment determines whether the constraint to be preserved is unary or monotonicn”,
“2. The second arugment provides the list of constraint variable names: [[Effect, Cause_1,..,Cause_n]]. In the case of a unary constraint, there would be 