// Methods
public override double ExecuteCommand()
{
int instanceName_i = 0;
int gold_i = 1;
featureToFeatureId = new TextIdMapper();
classToClassId = new TextIdMapper();
var instanceNameToId = new TextIdMapper();
TextIdMapper[] headerToHeaderIds = new TextIdMapper[] { instanceNameToId, classToClassId };
FeatureVectorFile vectorFile = new FeatureVectorFile(path: vector_file, noOfHeaderColumns: 2, featureDelimiter: ' ', isSortRequired: false);
// Read the boundaries:
int[] sentenceLengths = ReadBoundaryFile(boundary_file);
// Read the classifier model:
classifier = MaxEntPOSClassifier.LoadModel(model_file, classToClassId, featureToFeatureId);
// Read the vectors:
var testVectors = vectorFile.LoadFromSVMLight(featureToFeatureId, headerToHeaderIds, FeatureType.Continuous);
// Get the output ready for display.
int[] goldClassIds = vectorFile.Headers[gold_i];
int[] instanceNameIds = vectorFile.Headers[instanceName_i];
string[] instanceNames = instanceNameToId.GetValues(instanceNameIds);
// Generate sys_output:
ConfusionMatrix confusionMatrix;
File.WriteAllText(sys_output, GenerateSysOutput(instanceNames, testVectors, sentenceLengths, out confusionMatrix, gold_i));
return(confusionMatrix.CalculateAccuracy());
}
// Methods
public override double ExecuteCommand()
{
FeatureVectorFile vectorFile = new FeatureVectorFile(path: vector_file, noOfHeaderColumns: 1, featureDelimiter: ':', isSortRequired: false);
// Initialize the text-to-Id mappers:
featureToFeatureId = new TextIdMapper();
int instanceName_i = 0;
int gold_i = 1;
classToClassId = new TextIdMapper();
var instanceNameToInstanceNameId = new TextIdMapper();
TextIdMapper[] headerToHeaderIds = new TextIdMapper[]
{
instanceNameToInstanceNameId
, classToClassId
};
// Read the boundaries:
int[] sentenceLengths = ReadBoundaryFile(boundary_file);
// Read the classifier model:
classifier = MaxEntPOSClassifier.LoadModel(model_file, classToClassId, featureToFeatureId);
// Read the vectors:
var testVectors = vectorFile.LoadFromSVMLight(featureToFeatureId, headerToHeaderIds, FeatureType.Continuous);
int[] instanceNameIds = vectorFile.Headers[instanceName_i];
int[] goldClasses = vectorFile.Headers[gold_i];
// TODO: Neaten this up a little.
string[] instanceNames = new string[instanceNameIds.Length];
for (int i = 0; i < instanceNameIds.Length; i++)
{
int instanceNameId = instanceNameIds[i];
instanceNames[i] = headerToHeaderIds[instanceName_i][i];
}
// Generate sys_output:
var confusionMatrix = GenerateSysOutput(sys_output, instanceNames, testVectors, sentenceLengths, gold_i);
return(confusionMatrix.CalculateAccuracy());
}