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front handling is a package for working with structured representations of parameters that can be used inside objective functions or in approximate inference algorithms um and bridging between the kind of flat vector of numbers representation that generic optimizes things like that once and a structured representation such as a name tuple or a dictionary that is most convenient to write in chapter function in terms of so in this example im going to use a gp library abstract gps optim which is a generic optimization tool and ill just find some training data im going to randomly pick some initial parameters that im going to want to optimize and an objective function as far as so you dont really need to do anything about gps here the important things are ive taken my vector parameters theta ive pulled out all the elements and used them in various places in my objective function ive done things like transform them to be positive because i need them to be positive in my case and the