/**
* Creates a {@code IndicatorLogLinearFactor} over {@code variables}, parameterized by {@code
* features}. The returned factor is sparse, and assignments with a 0 weight in {@code
* initialWeights} will be assigned 0 weight in all constructed factors.
*
* @param vars
* @param features
*/
public IndicatorLogLinearFactor(VariableNumMap variables, DiscreteFactor initialWeights) {
super(variables);
this.initialWeights = Preconditions.checkNotNull(initialWeights);
List<Assignment> assignments = initialWeights.getNonzeroAssignments();
DiscreteVariable featureNameDictionary =
new DiscreteVariable("indicator features", assignments);
this.featureVars = VariableNumMap.singleton(0, "features", featureNameDictionary);
}
