public static void WriteFeatureStrings(
TextWriter writer, Classifier classifier, FeatureEncoder featureEncoder,
EncodingResult encodingResult = null)
{
var acceptingFeature = classifier.GetAllAcceptingFeatureStrings(featureEncoder);
var rejectingFeatures = classifier.GetAllRejectingFeatureStrings(featureEncoder);
var acceptingVectorCounts = encodingResult != null
? classifier.CountAcceptedVectorsOfEachGroup(encodingResult)
: Enumerable.Repeat(-1, acceptingFeature.Count).ToList();
var rejectingVectorCounts = encodingResult != null
? classifier.CountRejectedVectorsOfEachGroup(encodingResult)
: Enumerable.Repeat(-1, rejectingFeatures.Count).ToList();
writer.WriteLine("################ Accepting Features ################");
for (var i = 0; i < acceptingFeature.Count; i++)
{
writer.WriteLine("######## Group: " + (i + 1) + " ("
+ acceptingVectorCounts[i] + ") ########");
writer.WriteLine(Beautify(classifier.GroupPaths[i]));
if (acceptingVectorCounts[i] != 0)
{
writer.WriteLine();
foreach (var featureString in acceptingFeature[i])
{
writer.WriteLine(Beautify(featureString));
}
}
}
writer.WriteLine("################ Rejecting Features ################");
for (var i = 0; i < rejectingFeatures.Count; i++)
{
writer.WriteLine("######## Group: " + (i + 1) + " ("
+ rejectingVectorCounts[i] + ") ########");
writer.WriteLine(Beautify(classifier.GroupPaths[i]));
if (rejectingVectorCounts[i] != 0)
{
writer.WriteLine();
foreach (var featureString in rejectingFeatures[i])
{
writer.WriteLine(Beautify(featureString));
}
}
}
writer.Flush();
}
public static void WriteFeatureStrings(
TextWriter writer, Classifier classifier, FeatureEncoder featureEncoder,
EncodingResult encodingResult = null) {
var acceptingFeature = classifier.GetAllAcceptingFeatureStrings(featureEncoder);
var rejectingFeatures = classifier.GetAllRejectingFeatureStrings(featureEncoder);
var acceptingVectorCounts = encodingResult != null
? classifier.CountAcceptedVectorsOfEachGroup(encodingResult)
: Enumerable.Repeat(-1, acceptingFeature.Count).ToList();
var rejectingVectorCounts = encodingResult != null
? classifier.CountRejectedVectorsOfEachGroup(encodingResult)
: Enumerable.Repeat(-1, rejectingFeatures.Count).ToList();
writer.WriteLine("################ Accepting Features ################");
for (var i = 0; i < acceptingFeature.Count; i++) {
writer.WriteLine("######## Group: " + (i + 1) + " ("
+ acceptingVectorCounts[i] + ") ########");
writer.WriteLine(Beautify(classifier.GroupPaths[i]));
if (acceptingVectorCounts[i] != 0) {
writer.WriteLine();
foreach (var featureString in acceptingFeature[i]) {
writer.WriteLine(Beautify(featureString));
}
}
}
writer.WriteLine("################ Rejecting Features ################");
for (var i = 0; i < rejectingFeatures.Count; i++) {
writer.WriteLine("######## Group: " + (i + 1) + " ("
+ rejectingVectorCounts[i] + ") ########");
writer.WriteLine(Beautify(classifier.GroupPaths[i]));
if (rejectingVectorCounts[i] != 0) {
writer.WriteLine();
foreach (var featureString in rejectingFeatures[i]) {
writer.WriteLine(Beautify(featureString));
}
}
}
writer.Flush();
}
