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# scipy.maxentropy.conditionalmodel.fit

`conditionalmodel.``fit`(algorithm='CG')

  Fits the conditional maximum entropy model subject to the constraints

  > sum_{w, x} p_tilde(w) p(x | w) f_i(w, x) = k_i

  for i=1,...,m, where k_i is the empirical expectation
    k_i = sum_{w, x} p_tilde(w, x) f_i(w, x).

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