EMApproximationScheme_inl.h

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#pragma once
 
#include <agrum/BN/learning/paramUtils/EMApproximationScheme.h>
 
namespace gum {
 
  namespace learning {
 
 
    INLINE EMApproximationScheme::EMApproximationScheme(bool verbosity) :
        ApproximationScheme(verbosity) {
      ApproximationScheme::enableMinEpsilonRate();
      ApproximationScheme::disableEpsilon();
    }
 
    INLINE void EMApproximationScheme::setEpsilon(double eps) {
      if (eps <= 0) GUM_ERROR(OutOfBounds, "EM's min diff epsilon value must be strictly positive")
      ApproximationScheme::setEpsilon(eps);
      ApproximationScheme::disableMinEpsilonRate();
    }
 
    INLINE void EMApproximationScheme::setMinDiffEpsilon(double eps) { setEpsilon(eps); }
 
    INLINE void EMApproximationScheme::setMinEpsilonRate(double rate) {
      if (rate <= 0.0)
        GUM_ERROR(OutOfBounds, "EM's min log-likelihood evolution rate must be strictly positive")
      ApproximationScheme::setMinEpsilonRate(rate);
      ApproximationScheme::disableEpsilon();
    }
 
  }   // namespace learning
 
}   // namespace gum