/// <summary>
/// Gets predicted result of input values as observable collection
/// </summary>
/// <param name="inputTable">current page input values</param>
/// <param name="pageSize">page size</param>
/// <returns>observable collection of predicted results</returns>
private ObservableCollection <BusinessObject> PredictResult(Table inputTable, int pageSize)
{
//Get PMML Evaluator instance
PMMLEvaluator evaluator = new PMMLEvaluatorFactory().GetPMMLEvaluatorInstance(viewModel.GetPMMLPath(pmmlPath));
//Initialize the output table
InitializeTable(inputTable.RowCount);
//Predict the recommendations, exclusiveRecommendations and ruleAssociations for each transactions using the PMML Evaluator instance
for (int i = 0; i < inputTable.RowCount; i++)
{
// Groups list of items for each 'transaction ID' as collection
List <string> input = inputTable[i, 1].ToString().Replace("{", "").Replace("}", "").Split(new char[] { ',' }).ToList();
//Get result
PredictedResult predictedResult = evaluator.GetResult(input, null);
//Get recommended items with their confidences and here it is added to collection for visualization
if (!recommendedItemCollection.ContainsKey(inputTable[i, 0].ToString()))
{
recommendedItemCollection.Add(inputTable[i, 0].ToString(), ((AssociationModelResult)predictedResult).GetConfidences(RecommendationType.Recommendation));
}
// Binds recommended items array in the following format to display it in the grid
outputTable[i, 0] = "[" + string.Join(",", predictedResult.GetRecommendations()) + "]";
outputTable[i, 1] = "[" + string.Join(",", predictedResult.GetExclusiveRecommendations()) + "]";
outputTable[i, 2] = "[" + string.Join(",", predictedResult.GetRuleAssociations()) + "]";
}
// Merges the selected page inputs and their output values
var result = viewModel.MergeTable(inputTable, outputTable, inputDataTable);
return(result);
}
/// <summary>
/// Predicts the results for given PMML and CSV file and serialize the results in a CSV file
/// </summary>
public Table PredictResult(Table inputTable, string pmmlPath)
{
string[] recommendations = null;
string[] exclusiveRecommendations = null;
string[] ruleAssociations = null;
List <string> input = null;
int index = 0;
//Get PMML Evaluator instance
PMMLEvaluator evaluator = new PMMLEvaluatorFactory().
GetPMMLEvaluatorInstance(pmmlPath);
for (int i = 0; i < inputTable.ColumnNames.Length; i++)
{
if (inputTable.ColumnNames[i].ToLower() == "items")
{
index = i;
}
}
//Predict the recommendations, exclusiveRecommendations and ruleAssociations for each transactions using the PMML Evaluator instance
for (int i = 0; i < inputTable.RowCount; i++)
{
input = inputTable[i, index].ToString().Replace("{", "").Replace("}", "").Split(new char[] { ',' }).ToList();
//Get result
PredictedResult predictedResult = evaluator.GetResult(input, null);
recommendations = predictedResult.GetRecommendations();
exclusiveRecommendations = predictedResult.GetExclusiveRecommendations();
ruleAssociations = predictedResult.GetRuleAssociations();
if (i == 0)
{
InitializeTable(inputTable.RowCount);
}
outputTable[i, 0] = "[" + string.Join(",", recommendations) + "]";
outputTable[i, 1] = "[" + string.Join(",", exclusiveRecommendations) + "]";
outputTable[i, 2] = "[" + string.Join(",", ruleAssociations) + "]";
}
return(outputTable);
}