def __init__(self, model, processes=None, thinning=<NUM_LIT:100>, nproj=None,<EOL>seed=None):
super(OptGPSampler, self).__init__(model, thinning, seed=seed)<EOL>self.generate_fva_warmup()<EOL>if processes is None:<EOL><INDENT>self.processes = CONFIGURATION.processes<EOL><DEDENT>else:<EOL><INDENT>self.processes = processes<EOL><DEDENT>self.center = shared_np_array((len(model.variables), ),<EOL>self.warmup.mean(axis=<NUM_LIT:0>))<EOL>
Initialize a new OptGPSampler.