chi2_inl.h

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namespace gum {

  // sets the conditioning nodes (useful for computing degrees of freedom)
  INLINE void
     Chi2::setConditioningNodes(const std::vector< Idx >& db_conditioning_ids) {
    __conditioning_size = 1;
    for (Idx i = 0; i < db_conditioning_ids.size(); ++i) {
      __conditioning_size *= __modalities[db_conditioning_ids[i]];
    }
  }

  // returns the number of degrees of freedom
  INLINE Size Chi2::degreesOfFreedom(const std::pair< Idx, Idx >& pair) {
    return degreesOfFreedom(pair.first, pair.second);
  }

  // returns the number of degrees of freedom
  INLINE Size Chi2::degreesOfFreedom(Idx var1, Idx var2) {
    return (__conditioning_size * (__modalities[var1] - 1)
            * (__modalities[var2] - 1));
  }

  // computes the critical value according to the number of degrees of freedom
  ALWAYS_INLINE double Chi2::criticalValue(const std::pair< Idx, Idx >& pair) {
    return criticalValue(pair.first, pair.second);
  }

  // computes the critical value according to the number of degrees of freedom
  ALWAYS_INLINE double Chi2::criticalValue(Idx var1, Idx var2) {
    Size DF = degreesOfFreedom(var1, var2);

    // try to see if the threshold is not already in cache
    try {
      return __critical_values[DF];
    } catch (const Exception&) {
      // here we have to compute the threshold of the chi2
      // we use Gary Perlman's algorithm
      double value = __criticalValue(__confidence_proba, DF);
      __critical_values.insert(DF, value);
      return value;
    }
  }

  // modifies the confidence proba
  INLINE void Chi2::setConfidenceProba(double new_proba) {
    // if we did not change the confidence proba, do nothing
    if (__confidence_proba == new_proba) return;

    __confidence_proba = new_proba;

    // remove the currently stored critical values
    __critical_values.clear();
  }

} /* namespace gum */