class_docstr: Linear mixing of the latent GPs to form the output.
class_docstr_tok: ["Linear","mixing","of","the","latent","GPs","to","form","the","output","."]
docstr: The underlying kernels in the multioutput kernel
docstr_tok: ["The","underlying","kernels","in","the","multioutput","kernel"]
code: def latent_kernels(self) -> Tuple[Kernel, ...]:
      """The underlying kernels in the multioutput kernel"""
      return tuple(self.kernels)
  
imports: import abc
  from typing import Optional, Sequence, Tuple
  import tensorflow
  from check_shapes import check_shape
  from check_shapes import check_shapes, inherit_check_shapes
  from ...base import Parameter, TensorType
  from ..base import Combination, Kernel
label_desc: Use image node_id 3 for calling the LinearCoregionalization obj's underlying member method code with example usage: obj.latent_kernels() and returns: tuple