/// <summary>
/// Load Node from XmlNode
/// </summary>
/// <param name="node"></param>
/// <returns></returns>
public static RuleSet loadFromXmlNode(XmlNode node)
{
RuleSet root = new RuleSet(new TruePredicate());
if (node.Attributes["id"] != null)
root.id = node.Attributes["id"].Value;
if (node.Attributes["defaultScore"] != null)
root.fdefaultscore = node.Attributes["defaultScore"].Value;
if (node.Attributes["recordCount"] != null)
root.recordCount = Convert.ToDecimal(node.Attributes["recordCount"].Value, CultureInfo.InvariantCulture);
root.ruleSelectionMethods = new List<RuleSelectionMethod>();
root.scoreDistributions = new List<ScoreDistribution>();
foreach(XmlNode item in node.ChildNodes)
{
if ("extension".Equals(item.Name.ToLowerInvariant()))
{
// TODO : implement extension
//root.Nodes.Add(Node.loadFromXmlNode(item));
}
else if ("ruleselectionmethod".Equals(item.Name.ToLowerInvariant()))
{
root.RuleSelectionMethods.Add(RuleSelectionMethod.loadFromXmlNode(item));
}
else if ("scoredistribution".Equals(item.Name.ToLowerInvariant()))
{
root.ScoreDistributions.Add(ScoreDistribution.loadFromXmlNode(item));
}
else if ("simplerule".Equals(item.Name.ToLowerInvariant()))
{
root.Rules.Add(SimpleRule.loadFromXmlNode(item));
}
else
throw new NotImplementedException();
}
return root;
}
/// <summary>
/// Scoring with rule set model
/// </summary>
/// <param name="root">Parent node</param>
/// <param name="criterionStr">Criterion</param>
/// <param name="dict">Values</param>
/// <param name="res" >Result to return</param>
/// <returns></returns>
public static ScoreResult Evaluate(RuleSet root, String criterionStr,
Dictionary<string, object> dict, ScoreResult res)
{
// HACK
res.Value = root.fdefaultscore;
res.Confidence = 1.0M;
// Both the ordering of keys and values is significant
OrderedDictionary/*<String, SimpleRule>*/ firedRules = new OrderedDictionary();//<String, SimpleRule>
// Test childs
foreach(Rule rule in root.Rules)
{
collectFiredRules(firedRules, rule, dict);
if (firedRules.Count > 0)
foreach (String key in firedRules.Keys) {
res.Value = key;
res.Confidence = 1.0M; //((SimpleRule)firedRules(key))..
return res;
}
}
// For now we return the first
/*foreach (String key in firedRules.Keys) {
res.Value = key;
res.Confidence = 1.0M; //((SimpleRule)firedRules(key))..
return res;
}*/
// Test childs
/*foreach(Rule rule in root.Rules)
{
PredicateResult resRule = rule.Evaluate(dict);
if (resRule == PredicateResult.True)
{
//res.Nodes.Add(child);
res.Value = rule.Score;
foreach(ScoreDistribution sco in rule.ScoreDistributions)
{
if (sco.Value.Equals(rule.Score))
{
if (sco.Confidence != null)
res.Confidence = Decimal.Parse(sco.Confidence, NumberStyles.Any, CultureInfo.InvariantCulture);
}
}
return Evaluate(child, missingvalueStr, noTrueChildStr, dict, res);
}
if (resRule == PredicateResult.Unknown)
throw new NotImplementedException();*/
/*else if (childPredicate == PredicateResult.Unknown)
{
// Unknow value lead to act with missingvalueStr
switch(missingvalueStr)
{
case MissingValueStrategy.LastPrediction:
return res;
case MissingValueStrategy.NullPrediction:
res.Value = null;
return res;
case MissingValueStrategy.WeightedConfidence:
Dictionary<string, decimal> conf = CalculateConfidence(root, dict);
string max_conf = null;
foreach(string key in conf.Keys)
{
if (max_conf == null)
max_conf = key;
if (conf[key] > conf[max_conf])
max_conf = key;
}
res.Value = max_conf;
res.Confidence = conf[max_conf];
return res;
case MissingValueStrategy.AggregateNodes:
return res;
default:
throw new NotImplementedException();
}
}
}*/
// All child nodes are false
/*if (root.Nodes.Count > 0)
if (noTrueChildStr == NoTrueChildStrategy.ReturnNullPrediction)
{
res.Value = null;
}*/
return res;
}