private bool ComputeValue(AbstractQuantifierSetting setting, out double value)
{
OneDimensionalContingencyTable tableA = new OneDimensionalContingencyTable(setting.firstContingencyTableRows);
tableA.StartColumnBound = CategoryRangeFrom;
tableA.EndColumnBound = CategoryRangeTo;
OneDimensionalContingencyTable tableB = new OneDimensionalContingencyTable(setting.secondContingencyTableRows);
tableB.StartColumnBound = CategoryRangeFrom;
tableB.EndColumnBound = CategoryRangeTo;
if (ContingencyTable.IsOperationModeOverQuantifierValues(OperationMode))
{
double valueA;
bool resultA = tableA.AnyValue(Relation, Treshold, Units, setting.allObjectsCount, out valueA);
double valueB;
bool resultB = tableB.AnyValue(Relation, Treshold, Units, setting.allObjectsCount, out valueB);
value = OneDimensionalContingencyTable.Combine(valueA, valueB, OperationMode);
if (resultA && resultB)
return true;
else
return false;
}
else
{
OneDimensionalContingencyTable combinedTable =
ContingencyTable.Combine<OneDimensionalContingencyTable>(tableA, tableB, OperationMode);
return combinedTable.AnyValue(Relation, Treshold, Units, setting.allObjectsCount, out value);
}
}
/// <summary>
/// Implementation of Active element "CF hypothesis"
/// </summary>
/// <param name="index">index of data source in data sources tab </param>
/// <returns>Returns XML string with all occurences of Active element type "CF hypothesis" from data source with given index</returns>
public static string getList(int index)
{
string resultString = ""; // result XML string
// loading DTD to resultString
try { resultString = XMLHelper.loadDTD(); }
catch (Exception e)
{
#if (LADENI)
MessageBox.Show("error while loading DTD: " + e.Message);
#endif
return resultString;
}
// root element
resultString += "<active_list>";
string PropName = "Hypotheses"; // name of property which contain a list of hypotheses
// searching all boxes CF-task
IBoxModule[] TaskBoxes = BoxesHelper.ListBoxesWithID(CFEsourcesTab.Sources[index] as CFEsource, "LISpMinerTasks.CFTask");
// processing of each box - searching all CF-hypotheses
string ErrStr = ""; // error report
string matrix_name = "unknown"; // analyzed data matrix name
string db_name="unknown"; // analyzed database name
string task_name = "unknown"; // task name - given by user name of box FFTTast
#region Loop - processing of each CF-Tasku from array TaskBoxes
foreach (IBoxModule box in TaskBoxes)
{
try
{
// searching data source name (database)
IBoxModule[] db_names = BoxesHelper.ListAncestBoxesWithID(box, "DataMiningCommon.Database");
if (db_names.GetLength(0) != 1) // searched more than one data source or neither one
throw new System.Exception("found " + db_names.GetLength(0).ToString() + " databases");
db_name = (db_names[0].GetPropertyOther("DatabaseName") as StringT).stringValue;
// searching data matrix name
IBoxModule[] matrix_names = BoxesHelper.ListAncestBoxesWithID(box, "DataMiningCommon.DataMatrix");
if (matrix_names.GetLength(0) != 1) // searched more than one data source or neither one
throw new System.Exception("found " + matrix_names.GetLength(0).ToString() + " data matrixes");
matrix_name = (matrix_names[0].GetPropertyOther("Name") as StringT).stringValue;
// searching task name
task_name = box.UserName;
// searching the list of all hypotheses in this task
HypothesesT HypT = box.GetPropertyOther(PropName) as HypothesesT;
HypothesisStruct[] HypList = HypT.hypothesesValue.Clone() as HypothesisStruct[];
// records for storing the results
Rec_hyp_cf rHyp = new Rec_hyp_cf(); // CF hypothesis
Rec_ti_attribute rAnt = new Rec_ti_attribute(); // Antecedent (Attributes)
Rec_ti_cedent rCon = new Rec_ti_cedent(); // condition
#region Loop - processing of each hypotheses jedne krabicky CFTask
// Loop over all hypotheses
for (int i = 0; i < HypList.GetLength(0); i++)
{
#region element hyp_cf
rHyp.id = "hypcf" + box.ProjectIdentifier.ToString() + "_" + i.ToString();
rHyp.db_name = db_name;
rHyp.matrix_name = matrix_name;
rHyp.task_name = task_name;
rHyp.attributes = "attr" + rHyp.id;
rHyp.condition = "con" + rHyp.id;
OneDimensionalContingencyTable CT = new OneDimensionalContingencyTable(HypList[i].quantifierSetting.firstContingencyTableRows); // Contingency Table
rHyp.Tab = HypList[i].quantifierSetting.firstContingencyTableRows[0];
// values of quantifiers
try
{
rHyp.sum = CT.SumOfValues.ToString();
rHyp.min = CT.MinValue.ToString();
rHyp.max = CT.MaxValue.ToString();
rHyp.v = CT.VariationRatio.ToString();
rHyp.nom_var = CT.NominalVariation.ToString();
rHyp.dor_var = CT.DiscreteOrdinaryVariation.ToString();
rHyp.avg_a = CT.ArithmeticAverage.ToString();
rHyp.avg_g = CT.GeometricAverage.ToString();
rHyp.var = CT.Variance.ToString();
rHyp.st_dev = CT.StandardDeviation.ToString();
rHyp.skew = CT.Skewness.ToString();
rHyp.asym = CT.Asymentry.ToString();
}
catch (System.Exception e) // !!There are some errors in Ferda quantifier values! !
{
ErrStr += "Box ProjectIdentifier=" + box.ProjectIdentifier.ToString() + ": chyba pri vypoctu kvantifikatoru: " + e.Message + "\n";
}
#endregion
#region element ti_attribute Attributes (Antecedent)
rAnt.id = rHyp.attributes;
rAnt.type = "Attributes";
rAnt.quant = ""; // deleting previous value
// category
List<Rec_ti_category> Cat_a = new List<Rec_ti_category>();
foreach (LiteralStruct lit in HypList[i].literals)
{
if (lit.cedentType == CedentEnum.Antecedent)
{
rAnt.quant += lit.literalName;
foreach (string s in lit.categoriesNames)
{
Rec_ti_category C = new Rec_ti_category();
C.value = s;
Cat_a.Add(C);
}
}
}
#endregion
#region element ti_cedent (Condition)
int litCounter = 0; // counter of literals of this cedent
rCon.id = "con" + rHyp.id;
rCon.type = "Condition";
// literals
List<Rec_ti_literal> Lit_c = new List<Rec_ti_literal>();
foreach (BooleanLiteralStruct lit in HypList[i].booleanLiterals)
{
if (lit.cedentType == CedentEnum.Condition)
{
Rec_ti_literal l = new Rec_ti_literal();
l.id = "tiLit" + rHyp.id + "_" + litCounter.ToString();
litCounter++;
if (lit.negation)
l.quant = "¬";
l.quant += lit.literalName;
int counter = 0;
foreach (string s in lit.categoriesNames)
{
if (counter > 0)
l.value += ",";
l.value += s;
counter++;
}
Lit_c.Add(l);
}
}
#endregion
#region Generating of one hypotheses to XML string
string oneHypString = "";
// generating hypotheses to XML
oneHypString += rHyp.ToXML();
// generating Attributes (Antecedent) to XML
oneHypString += rAnt.ToXML(Cat_a);
// generating Condition to XML
oneHypString += rCon.ToXML(Lit_c);
resultString += oneHypString;
#endregion
}
#endregion
}
catch (System.Exception e)
{
ErrStr += "Box ProjectIdentifier=" + box.ProjectIdentifier.ToString() + ": " + e.Message + "\n";
}
}
#endregion
// root element
resultString += "</active_list>";
#if (LADENI)
// generating of error message:
if (!String.IsNullOrEmpty(ErrStr)) // LADICI
MessageBox.Show("Pri nacitani CF hypotheses doslo k chybam:\n" + ErrStr, "Chyba", MessageBoxButtons.OK, MessageBoxIcon.Error);
// LADICI - Kody - storing output to file "XMLsd4fthypExample.xml" in directory
XMLHelper.saveXMLexample(resultString, "../XML/XMLcfhypExample.xml");
#endif
return resultString;
}
/// <summary>
/// Gets the value of the quantifier above specified <c>setting</c>.
/// </summary>
/// <param name="setting">The setting.</param>
/// <param name="__current">The __current.</param>
/// <returns></returns>
public override double Value(AbstractQuantifierSetting setting, Ice.Current __current)
{
try
{
OneDimensionalContingencyTable tableA = new OneDimensionalContingencyTable(setting.firstContingencyTableRows);
OneDimensionalContingencyTable tableB = new OneDimensionalContingencyTable(setting.secondContingencyTableRows);
if (!useNumericValues)
{
return OneDimensionalContingencyTable.Value<OneDimensionalContingencyTable>(
valueFunctionDelegate,
tableA,
tableB,
OperationMode,
UnitsEnum.AbsoluteNumber,
0);
}
else
{
if (
setting.numericValues == null
|| setting.firstContingencyTableRows[0] == null //this should never happend
|| setting.numericValues.Length != setting.firstContingencyTableRows[0].Length
)
return 0;
tableA.NumericValues = setting.numericValues;
tableB.NumericValues = setting.numericValues;
return ContingencyTable.Value<OneDimensionalContingencyTable>(
valueFunctionDelegate,
tableA,
tableB,
OperationMode,
UnitsEnum.AbsoluteNumber,
0);
}
}
catch (Exception e)
{
return 0;
}
}
/// <summary>
/// Gets the value of the quantifier above specified <c>setting</c>.
/// </summary>
/// <param name="setting">The setting.</param>
/// <param name="__current">The __current.</param>
/// <returns></returns>
public override double Value(AbstractQuantifierSetting setting, Ice.Current __current)
{
try
{
OneDimensionalContingencyTable tableA = new OneDimensionalContingencyTable(setting.firstContingencyTableRows);
tableA.StartColumnBound = CategoryRangeFrom;
tableA.EndColumnBound = CategoryRangeTo;
OneDimensionalContingencyTable tableB = new OneDimensionalContingencyTable(setting.secondContingencyTableRows);
tableB.StartColumnBound = CategoryRangeFrom;
tableB.EndColumnBound = CategoryRangeTo;
return ContingencyTable.Value<OneDimensionalContingencyTable>(
valueFunctionDelegate,
tableA,
tableB,
OperationMode,
Units,
setting.allObjectsCount);
}
catch (Exception e)
{
return 0;
}
}
/// <summary>
/// Gets the value of the quantifier above specified <c>setting</c>.
/// </summary>
/// <param name="setting">The setting.</param>
/// <param name="__current">The __current.</param>
/// <returns></returns>
public override double Value(AbstractQuantifierSetting setting, Ice.Current __current)
{
OneDimensionalContingencyTable table = new OneDimensionalContingencyTable(setting.firstContingencyTableRows);
table.StartColumnBound = CategoryRangeFrom;
table.EndColumnBound = CategoryRangeTo;
return OneDimensionalContingencyTable.Value<OneDimensionalContingencyTable>(
valueFunctionDelegate,
table,
Units,
setting.allObjectsCount);
}
public static double GetVariationRatio(OneDimensionalContingencyTable table)
{
return table.VariationRatio;
}
public static double GetStandardDeviation(OneDimensionalContingencyTable table)
{
return table.StandardDeviation;
}
public static double GetSkewness(OneDimensionalContingencyTable table)
{
return table.Skewness;
}
public static double GetNominalVariation(OneDimensionalContingencyTable table)
{
return table.NominalVariation;
}
public static double GetGeometricAverage(OneDimensionalContingencyTable table)
{
return table.GeometricAverage;
}
public static double GetDiscreteOrdinaryVariation(OneDimensionalContingencyTable table)
{
return table.DiscreteOrdinaryVariation;
}
public static double GetAsymentry(OneDimensionalContingencyTable table)
{
return table.Asymentry;
}
public static double GetArithmeticAverage(OneDimensionalContingencyTable table)
{
return table.ArithmeticAverage;
}