def build(self):
        data = self.load()
        if data is None:
            self.rebuild()
            self.save()
    
    # override this...
Derivative of the covariance with respect to the parameters.
dataset/ETHPy150Open CountZer0/PipelineConstructionSet/python/maya/site-packages/pymel-1.0.3/pymel/internal/startup.py/SubItemCache.build--crossover with--dataset/ETHPy150Open SheffieldML/GPy/GPy/kern/src/todo/gibbs.py/Gibbs._param_grad_helper