private SymbolicDataAnalysisVariableFrequencyAnalyzer(SymbolicDataAnalysisVariableFrequencyAnalyzer original, Cloner cloner)
: base(original, cloner)
{
}
public override IOperation Apply()
{
ItemArray <ISymbolicExpressionTree> expressions = SymbolicExpressionTreeParameter.ActualValue;
ResultCollection results = ResultCollection;
DataTable datatable;
if (VariableFrequenciesParameter.ActualValue == null)
{
datatable = new DataTable("Variable frequencies", "Relative frequency of variable references aggregated over the whole population.");
datatable.VisualProperties.XAxisTitle = "Generation";
datatable.VisualProperties.YAxisTitle = "Relative Variable Frequency";
VariableFrequenciesParameter.ActualValue = datatable;
results.Add(new Result("Variable frequencies", "Relative frequency of variable references aggregated over the whole population.", datatable));
results.Add(new Result("Variable impacts", "The relative variable relevance calculated as the average relative variable frequency over the whole run.", new DoubleMatrix()));
}
datatable = VariableFrequenciesParameter.ActualValue;
// all rows must have the same number of values so we can just take the first
int numberOfValues = datatable.Rows.Select(r => r.Values.Count).DefaultIfEmpty().First();
foreach (var pair in SymbolicDataAnalysisVariableFrequencyAnalyzer.CalculateVariableFrequencies(expressions, AggregateLaggedVariables.Value))
{
if (!datatable.Rows.ContainsKey(pair.Key))
{
// initialize a new row for the variable and pad with zeros
DataRow row = new DataRow(pair.Key, "", Enumerable.Repeat(0.0, numberOfValues));
row.VisualProperties.StartIndexZero = true;
datatable.Rows.Add(row);
}
datatable.Rows[pair.Key].Values.Add(Math.Round(pair.Value, 3));
}
// add a zero for each data row that was not modified in the previous loop
foreach (var row in datatable.Rows.Where(r => r.Values.Count != numberOfValues + 1))
{
row.Values.Add(0.0);
}
// update variable impacts matrix
var orderedImpacts = (from row in datatable.Rows
select new { Name = row.Name, Impact = Math.Round(datatable.Rows[row.Name].Values.Average(), 3) })
.OrderByDescending(p => p.Impact)
.ToList();
var impacts = new DoubleMatrix();
var matrix = impacts as IStringConvertibleMatrix;
matrix.Rows = orderedImpacts.Count;
matrix.RowNames = orderedImpacts.Select(x => x.Name);
matrix.Columns = 1;
matrix.ColumnNames = new string[] { "Relative variable relevance" };
int i = 0;
foreach (var p in orderedImpacts)
{
matrix.SetValue(p.Impact.ToString(), i++, 0);
}
VariableImpactsParameter.ActualValue = impacts;
results["Variable impacts"].Value = impacts;
return(base.Apply());
}
private SymbolicDataAnalysisVariableFrequencyAnalyzer(SymbolicDataAnalysisVariableFrequencyAnalyzer original, Cloner cloner)
: base(original, cloner) {
}
