/// <summary>
/// Creates DFRSimilarity from the three components.
/// <para/>
/// Note that <c>null</c> values are not allowed:
/// if you want no normalization or after-effect, instead pass
/// <see cref="Normalization.NoNormalization"/> or <see cref="AfterEffect.NoAfterEffect"/> respectively. </summary>
/// <param name="basicModel"> Basic model of information content </param>
/// <param name="afterEffect"> First normalization of information gain </param>
/// <param name="normalization"> Second (length) normalization </param>
public DFRSimilarity(BasicModel basicModel, AfterEffect afterEffect, Normalization normalization)
{
if (basicModel == null || afterEffect == null || normalization == null)
{
throw new NullReferenceException("null parameters not allowed.");
}
this.m_basicModel = basicModel;
this.m_afterEffect = afterEffect;
this.m_normalization = normalization;
}
/// <summary>
/// Creates IBSimilarity from the three components.
/// <para/>
/// Note that <c>null</c> values are not allowed:
/// if you want no normalization, instead pass
/// <see cref="Normalization.NoNormalization"/>. </summary>
/// <param name="distribution"> probabilistic distribution modeling term occurrence </param>
/// <param name="lambda"> distribution's λ<sub>w</sub> parameter </param>
/// <param name="normalization"> term frequency normalization </param>
public IBSimilarity(Distribution distribution, Lambda lambda, Normalization normalization)
{
this.m_distribution = distribution;
this.m_lambda = lambda;
this.m_normalization = normalization;
}