/// <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)
{
//Get PMML Evaluator instance
PMMLEvaluator evaluator = new PMMLEvaluatorFactory().
GetPMMLEvaluatorInstance(pmmlPath);
string[] predictedCategories = null;
//Predict the value for each record using the PMML Evaluator instance
for (int i = 0; i < inputTable.RowCount; i++)
{
var iris = GetDataObject(inputTable, i);
//Get result
PredictedResult predictedResult = evaluator.GetResult(iris, null);
if (i == 0)
{
//Get the predicted propability fields
predictedCategories = predictedResult.GetPredictedCategories();
//Initialize the output table
InitializeTable(inputTable.RowCount, predictedResult.PredictedField, predictedCategories);
}
//Add predicted value
outputTable[i, 0] = predictedResult.PredictedValue;
}
return(outputTable);
}
/// <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)
{
Stream pmmlStream = new FileStream(pmmlPath, FileMode.Open, FileAccess.Read);
//Get PMML Evaluator instance
PMMLEvaluator evaluator = new PMMLEvaluatorFactory().
GetPMMLEvaluatorInstance(pmmlStream);
string[] predictedCategories = null;
//Predict the value for each record using the PMML Evaluator instance
for (int i = 0; i < inputTable.RowCount; i++)
{
var audit = GetDataObject(inputTable, i);
//Get result
PredictedResult predictedResult = evaluator.GetResult(audit, null);
if (i == 0)
{
//Get the predicted propability fields
predictedCategories = predictedResult.GetPredictedCategories();
//Initialize the output table
InitializeTable(inputTable.RowCount, predictedResult.PredictedField, predictedCategories);
}
//Add predicted value
outputTable[i, 0] = predictedResult.PredictedValue;
for (int j = 1; j <= predictedCategories.Length; j++)
{
outputTable[i, j] = predictedResult.GetPredictedProbability(predictedCategories[j - 1]);
}
}
return(outputTable);
}
/// <summary>
/// Predicts the results for given PMML and CSV file and serialize the results in a CSV file
/// </summary>
public Syncfusion.PMML.Table PredictResult(string[] input, string pmmlPath)
{
//Get PMML Evaluator instance
PMMLEvaluator evaluator = new PMMLEvaluatorFactory().
GetPMMLEvaluatorInstance(pmmlPath);
string[] predictedCategories = null;
int i = 0;
foreach (string s in input)
{
string[] words = s.Split(' ');
var record = new
{
field_0 = words[0],
field_1 = words[1],
field_2 = words[2]
};
PredictedResult predictedResult = evaluator.GetResult(record, null);
if (i == 0)
{
//Get the predicted propability fields
predictedCategories = predictedResult.GetPredictedCategories();
//Initialize the output table
InitializeTable(input.Length, predictedCategories);
}
//Add predicted value
outputTable[i, 0] = predictedResult.PredictedValue;
i++;
}
return(outputTable);
}
/// <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);
//Gets the start index of page selected
int startIndex = sfDataPager.PageIndex * sfDataPager.PageSize;
//Predict the value for each record using the PMML Evaluator instance
for (int i = 0; i < inputTable.RowCount; i++)
{
//Get input values as dictionary object
Dictionary <string, object> iris = inputTable.ColumnNames.ToDictionary(column => column, column
=> inputTable[i, column]);
//Get result
PredictedResult predictedResult = evaluator.GetResult(iris, null);
//Add predicted value
outputTable[i, 0] = predictedResult.PredictedValue;
for (int j = 1; j <= predictedResult.GetPredictedCategories().Length; j++)
{
outputTable[i, j] = predictedResult.GetPredictedProbability(predictedResult.GetPredictedCategories()[j - 1]);
}
//Adds predicted species result to the collection for visualization
if (!predictedSpeciesCollection.ContainsKey((startIndex + i + 1).ToString()))
{
iris.Add("predictedSpecies", predictedResult.PredictedValue);
iris.Add("species_Setosa", predictedResult.GetPredictedProbability(predictedResult.GetPredictedCategories()[0]));
iris.Add("species_Versicolor", predictedResult.GetPredictedProbability(predictedResult.GetPredictedCategories()[1]));
iris.Add("species_Virginica", predictedResult.GetPredictedProbability(predictedResult.GetPredictedCategories()[2]));
predictedSpeciesCollection.Add((startIndex + i + 1).ToString(), iris);
}
}
// 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(string[] input, string pmmlPath)
{
//Get PMML Evaluator instance
PMMLEvaluator evaluator = new PMMLEvaluatorFactory().
GetPMMLEvaluatorInstance(pmmlPath);
string[] predictedCategories = null;
int i = 0;
foreach (string s in input)
{
string[] predictedandInput = s.Split(',');
string[] inputField = predictedandInput[1].Split(' ');
var record = new
{
field_0 = inputField[0],
field_1 = inputField[1],
field_2 = inputField[2],
field_3 = inputField[3],
field_4 = inputField[4],
field_5 = inputField[5],
field_6 = inputField[6],
field_7 = inputField[7]
};
PredictedResult predictedResult = evaluator.GetResult(record, null);
if (i == 0)
{
//Get the predicted propability fields
predictedCategories = predictedResult.GetPredictedCategories();
//Initialize the output table
InitializeTable(input.Length, predictedCategories);
}
//Add predicted value
outputTable[i, 0] = predictedResult.PredictedDoubleValue;
i++;
}
return(outputTable);
}