src/classify/normmatch.cpp
static double NormEvidenceOf(double NormAdj) {
  NormAdj /= classify_norm_adj_midpoint;

  if (classify_norm_adj_curl == 3) {
    NormAdj = NormAdj * NormAdj * NormAdj;
  } else if (classify_norm_adj_curl == 2) {
    NormAdj = NormAdj * NormAdj;
  } else {
    NormAdj = pow(NormAdj, classify_norm_adj_curl);
  }
  return (1.0 / (1.0 + NormAdj));
}
/**
 * @name NormEvidenceOf
 *
 * Return the new type of evidence number corresponding to this
 * normalization adjustment.  The equation that represents the transform is:
 *       1 / (1 + (NormAdj / midpoint) ^ curl)
 */
@name NormEvidenceOf
Return the new type of evidence number corresponding to this
normalization adjustment.  The equation that represents the transform is:
1 / (1 + (NormAdj / midpoint) ^ curl)
@name NormEvidenceOf Return the new type of evidence number corresponding to this normalization adjustment . The equation that represents the transform is : 1 / ( 1 + ( NormAdj / midpoint ) ^ curl )
static double NormEvidenceOf(double NormAdj) {
  NormAdj /= classify_norm_adj_midpoint;
  if (classify_norm_adj_curl == 3) {
    NormAdj = NormAdj * NormAdj * NormAdj;
  } else if (classify_norm_adj_curl == 2) {
    NormAdj = NormAdj * NormAdj;
  } else {
    NormAdj = pow(NormAdj, classify_norm_adj_curl);
  }
  return (1.0 / (1.0 + NormAdj));
}
static double NormEvidenceOf ( double NormAdj ) { NormAdj /= classify_norm_adj_midpoint ; if ( classify_norm_adj_curl == 3 ) { NormAdj = NormAdj * NormAdj * NormAdj ; } else if ( classify_norm_adj_curl == 2 ) { NormAdj = NormAdj * NormAdj ; } else { NormAdj = pow ( NormAdj , classify_norm_adj_curl ) ; } return ( 1.0 / ( 1.0 + NormAdj ) ) ; }
@name NormEvidenceOf
 Return the new type of evidence number corresponding to this
 normalization adjustment.
@name NormEvidenceOf Return the new type of evidence number corresponding to this normalization adjustment .