def gradients_Z_expectations(self, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, variational_posterior,
                                psi0=None, psi1=None, psi2=None):
        return self.psicomp.psiDerivativecomputations(self, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, variational_posterior)[1]
Test Isolation Forest performs well
dataset/ETHPy150Open SheffieldML/GPy/GPy/kern/src/kern.py/Kern.gradients_Z_expectations--crossover with--dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/ensemble/tests/test_iforest.py/test_iforest_performance