def _apply_in_objects(self, hypInArray):
        Lm = len(self.model.meanfunc.hyp)
        Lc = len(self.model.covfunc.hyp)
        hypInList = hypInArray.tolist()
        self.model.meanfunc.hyp  = hypInList[:Lm]
        self.model.covfunc.hyp   = hypInList[Lm:(Lm+Lc)]
        self.model.likfunc.hyp   = hypInList[(Lm+Lc):]
Apply the values in the input array to hyparameters of model.
dataset/ETHPy150Open marionmari/pyGPs/pyGPs/Core/opt.py/Optimizer._apply_in_objects