rc.gpf.mean_functions§

Mean functions for gpf - i.e. Gaussian prior predictions.

Classes§

MOMeanFunction

Mean functions for MOGPR. Basically a wrapper for a Sequence of gpflow.mean_functions.MeanFunctions, one for each output_dim.

Module Contents§

class MOMeanFunction(output_dim, mean_functions=Zero())§

Bases: gpflow.mean_functions.MeanFunction

Inheritance diagram of rc.gpf.mean_functions.MOMeanFunction

Mean functions for MOGPR. Basically a wrapper for a Sequence of gpflow.mean_functions.MeanFunctions, one for each output_dim. These functions constitute the prior mean predictions f(x) in the absence of any training data.

Parameters:

  • output_dim (int)

  • mean_functions (Union[MOMeanFunction, gpflow.mean_functions.MeanFunction, Sequence[gpflow.mean_functions.MeanFunction]])

property output_dim§

Also known as L.

property functions§

The sequence of functions defining this MOMeanFunction.

__call__(X)§

Given N samples in X, returns an output_dim * N vector of flatten(functions(X)).