

def combine_kernels(self, kernels):
    (dim1, dim2) = kernels[0].size
    mixed = matrix(0.0, (dim1, kernels))
    for i in range(self.num_kernels):
        mixed += (self.dm[i] * kernels[i])
    return mixed

dataset/ETHPy150Open nicococo/tilitools/mkl.py MKLWrapper.combine_kernels/VarMisuse@34/43 `dim2`->`kernels`