gpflow.expectations.squared_exponentials#
Functions#
gpflow.expectations.squared_exponentials.square_distance#
- gpflow.expectations.squared_exponentials.square_distance(X, X2)[source]#
Returns ||X - X2ᵀ||² Due to the implementation and floating-point imprecision, the result may actually be very slightly negative for entries very close to each other.
This function can deal with leading dimensions in X and X2. In the sample case, where X and X2 are both 2 dimensional, for example, X is [N, D] and X2 is [M, D], then a tensor of shape [N, M] is returned. If X is [N1, S1, D] and X2 is [N2, S2, D] then the output will be [N1, S1, N2, S2].
- Parameters
X (
Tensor) –X2 (
Optional[Tensor]) –
- Return type
Tensor