### Navigation

- index
- modules |
- modules |
- SciPy v0.9 Reference Guide (DRAFT) »

# scipy.maxentropy.bigmodel.expectations

`bigmodel.``expectations`()

  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().

### Navigation

- index
- modules |
- modules |
- SciPy v0.9 Reference Guide (DRAFT) »