Yes, the training algorithm uses a hardwired "k". It can be seen in the _fit
method, which samples once, then updates the parameters.
Setting number of Gibbs steps for BernoulliRBM
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07-07-2023 - |
Question
I want to use BernoulliRBM
implementation in scikit-learn
for Restricted Boltzmann Machines, but I can’t find anywhere a way or a parameter to set the number of Gibbs steps k for the PCD sampling. Should I assume that k=1
and can't be modified?
Solution
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