public EvaluationResult <OutputType> Evaluate(ExampleSelection exampleSelection,
EvaluationResult <OutputType> result)
{
if (exampleSelection is RandomSelection)
{
// randomize list of examples
LearningData.Examples.Shuffle();
}
else if (exampleSelection is ChronologicalSelection)
{
// input path of example cut off after last slash and remove .log then sort by that.
LearningData.Examples.Sort((ex1, ex2) => GetBuildIdFromPath(ex1.InputPath).CompareTo(GetBuildIdFromPath(ex2.InputPath)));
}
else if (exampleSelection is ManualSelection)
{
// take examples in list they are defined in file (so sequence they have in the LearningData already)
}
for (int exampleCount = 1; exampleCount <= exampleSelection.LearningStepCount; exampleCount++)
{
SessionData <ExampleData <OutputType> > currentLearningData = new SessionData <ExampleData <OutputType> >();
currentLearningData.Examples = LearningData.Examples.GetRange(0, Math.Min(exampleCount, LearningData.Examples.Count));
if (exampleSelection.IncludeAllInputs)
{
currentLearningData.InputPaths = LearningData.InputPaths;
}
List <ExampleData <OutputType> > testSamples = LearningData.Examples.GetRange(exampleCount, Math.Min(exampleSelection.TestCount, LearningData.Examples.Count - exampleCount));
List <AnalysisResult <OutputType> > testResults = new List <AnalysisResult <OutputType> >();
foreach (ExampleData <OutputType> testSample in testSamples)
{
var analysisResult = ApplyToFileWithLearningData(Config.SAMPLE_DIRECTORY + testSample.InputPath, currentLearningData, new AnalysisResult <OutputType>(), false);
analysisResult.DesiredOutput = testSample.Output;
analysisResult.TestCategory = testSample.Category;
// Console.WriteLine(ConsoleOutput.PrintAnalysisResult(analysisResult, 0, true));
testResults.Add(analysisResult);
}
result.Results.Add(currentLearningData, testResults);
}
return(result);
}
public static EvaluationResult <OutputType> Evaluate <OutputType>(string programName, ExampleSelection exampleSelection)
{
var result = new EvaluationResult <OutputType>();
result.ExampleSelection = exampleSelection;
result.ProgramName = programName;
if (typeof(OutputType) == typeof(string))
{
var program = AnalysisProgram <RegionAnalysisSession, string> .LoadAnalysisProgram(programName);
return((EvaluationResult <OutputType>)(object) program.Evaluate(exampleSelection, (EvaluationResult <string>)(object) result));
}
if (typeof(OutputType) == typeof(string[]))
{
var program = AnalysisProgram <SequenceAnalysisSession, string[]> .LoadAnalysisProgram(programName);
return((EvaluationResult <OutputType>)(object) program.Evaluate(exampleSelection, (EvaluationResult <string[]>)(object) result));
}
return(result);
}
