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","."]
code: def __init__(
      self,
      kernels: Sequence[Kernel],
      W: TensorType,
      name: Optional[str] = None,
  ):
      Combination.__init__(self, kernels=kernels, name=name)
      self.W = Parameter(W)
  
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 1 to create a new LinearCoregionalization object from inherited base classes: IndependentLatent, Combination with example: obj = LinearCoregionalization(kernels, W, name)