Estimates the feature expectations E_p[f(X)] under the current model p = p_theta using the given sample feature matrix. If self.staticsample is True, uses the current feature matrix self.sampleF. If self.staticsample is False or self.matrixtrials is > 1, draw one or more sample feature matrices F afresh using the generator function supplied to sampleFgen().

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