Different dropout rate between training and testing?

[elwell67]

Any suggestions on how to implement the stochastic predictor with a different dropout rate than that which was used in training? I have tried to modify the layer attributes (.rate), but this does not change the output of the stochastic predictor function (built on the keras backend function).