Ejemplo n.º 1
0
 public void Create(RevealedVectorSet trainingSet, GroupCache groupCache)
 {
     do
     {
         Initialize();
     } while (!UpdateClassifierUnits(trainingSet.Accepted, trainingSet, groupCache));
 }
Ejemplo n.º 2
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        public IDictionary <BigInteger, string> RevealSuspiciousElements(
            ICollection <BigInteger> actuallyAcceptedVectors,
            IList <SuspiciousNode> suspiciousNodes,
            EncodingResult encodingResult, RevealedVectorSet trainingSet)
        {
            var additionalAcceptedVector2GroupPath = new Dictionary <BigInteger, string>();

            foreach (var t in suspiciousNodes)
            {
                if (actuallyAcceptedVectors.Contains(t.Vector))
                {
                    additionalAcceptedVector2GroupPath.Add(t.Vector, t.GroupKey);
                    trainingSet.Accepted.Add(t.Vector, t.GroupKey);
                }
                else
                {
                    trainingSet.Rejected.Add(t.Vector, t.GroupKey);
                }
            }

            Console.WriteLine(
                "Accepted: " + trainingSet.AcceptedCount + " + "
                + additionalAcceptedVector2GroupPath.Count
                + " / " + encodingResult.IdealVectorSet.AcceptedCount);
            Console.WriteLine(
                "Rejected: " + trainingSet.RejectedCount + " + "
                + (suspiciousNodes.Count - additionalAcceptedVector2GroupPath.Count)
                + " / " + encodingResult.IdealVectorSet.RejectedCount);

            return(additionalAcceptedVector2GroupPath);
        }
Ejemplo n.º 3
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        public EncodingResult() {
            _vector2Node = new Dictionary<BigInteger, CstNode>();
            Vector2Count = new Dictionary<BigInteger, int>();

            IdealVectorSet = new RevealedVectorSet();
            SeedVectorSet = new RevealedVectorSet();
        }
Ejemplo n.º 4
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 private UpdateResult UpdateAcceptingClassifierUnits(
     IDictionary <BigInteger, string> additionalAcceptedSet, RevealedVectorSet trainingSet,
     GroupCache groupCache)
 {
     if (additionalAcceptedSet.Count == 0)
     {
         var rejectedGroupInfo = FindWronglyAcceptedGroupInfo(trainingSet, groupCache);
         if (rejectedGroupInfo != null)
         {
             return(new UpdateResult {
                 Rejected = rejectedGroupInfo,
                 Accepted = null,
             });
         }
         return(null);
     }
     foreach (var vectorAndGroupPath in additionalAcceptedSet)
     {
         var vector     = vectorAndGroupPath.Key;
         var groupIndex = groupCache.GetGroupIndex(vector);
         Units[groupIndex].Accepting &= vector;
         var rejectedGroupInfo = FindWronglyAcceptedGroupInfo(trainingSet, groupCache);
         if (rejectedGroupInfo != null)
         {
             return(new UpdateResult {
                 Rejected = rejectedGroupInfo,
                 Accepted = new GroupInfo {
                     Index = groupIndex, Path = vectorAndGroupPath.Value
                 },
             });
         }
     }
     return(null);
 }
Ejemplo n.º 5
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        public EncodingResult()
        {
            _vector2Node = new Dictionary <BigInteger, CstNode>();
            Vector2Count = new Dictionary <BigInteger, int>();

            IdealVectorSet = new RevealedVectorSet();
            SeedVectorSet  = new RevealedVectorSet();
        }
Ejemplo n.º 6
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        public bool Update(
            IDictionary <BigInteger, string> additionalAcceptedSet, RevealedVectorSet trainingSet,
            GroupCache groupCache)
        {
            var originalClassifierUnit = Units.Select(c => c.Clone()).ToImmutableList();

            if (!UpdateClassifierUnits(additionalAcceptedSet, trainingSet, groupCache))
            {
                Create(trainingSet, groupCache);
            }
            return(!Units.SequenceEqual(originalClassifierUnit));
        }
Ejemplo n.º 7
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 private GroupInfo FindWronglyAcceptedGroupInfo(
     RevealedVectorSet trainingSet, GroupCache groupCache)
 {
     foreach (var featureAndGroupPath in trainingSet.Rejected)
     {
         var feature    = featureAndGroupPath.Key;
         var groupPath  = featureAndGroupPath.Value;
         var groupIndex = groupCache.GetGroupIndex(feature);
         var accepted   = IsAccepted(feature, groupIndex) && !IsRejected(feature, groupIndex);
         if (accepted)
         {
             return(new GroupInfo {
                 Index = groupIndex, Path = groupPath
             });
         }
     }
     return(null);
 }
Ejemplo n.º 8
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        private bool UpdateClassifierUnits(
            IDictionary <BigInteger, string> additionalAcceptedSet, RevealedVectorSet trainingSet,
            GroupCache groupCache)
        {
            UpdateRejectingClassifierUnits(additionalAcceptedSet.Keys, groupCache);
            var result = UpdateAcceptingClassifierUnits(additionalAcceptedSet, trainingSet,
                                                        groupCache);

            if (result == null)
            {
                return(true);
            }
            var count   = GroupPaths.Count;
            var updated = false;

            if (result.Accepted != null &&
                result.Accepted.Path != GroupPaths[result.Accepted.Index])
            {
                updated |= AddNewGroup(result.Accepted);
            }
            if (result.Rejected.Path != GroupPaths[result.Rejected.Index])
            {
                updated |= AddNewGroup(result.Rejected);
            }
            if (updated)
            {
                groupCache.UpdateGroupCache(this);
            }
            // ReSharper disable once PossibleUnintendedReferenceComparison
            if (GroupPaths.Count == count &&
                additionalAcceptedSet == trainingSet.Accepted)
            {
                throw new Exception("Fail to learn rules");
            }
            Console.WriteLine("Failed to create Classifier units.");
            Console.WriteLine("Groups: " + GroupPaths.Count + " (" + count + ")");
            return(false);
        }
Ejemplo n.º 9
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 public void WriteResult(StreamWriter writer, RevealedVectorSet trainingSet = null)
 {
     if (writer == null)
     {
         return;
     }
     trainingSet = trainingSet ?? new RevealedVectorSet();
     writer.Write(IdealAcceptedVector2GroupPath.Concat(IdealRejectedVector2GroupPath)
                  .Sum(f => Vector2Count[f.Key]));
     writer.Write(",");
     writer.Write(trainingSet.Accepted.Concat(trainingSet.Rejected)
                  .Sum(f => Vector2Count[f.Key]));
     writer.Write(",");
     writer.Write(IdealVectorSet.Count);
     writer.Write(",");
     writer.Write(trainingSet.Count);
     writer.Write(",");
     writer.Write(SeedNodeCount);
     writer.Write(",");
     writer.Write(SeedVectorCount);
     writer.Write(",");
     writer.Write(SeedAcceptedNodeCount);
     writer.Write(",");
 }
Ejemplo n.º 10
0
 private bool UpdateClassifierUnits(
         IDictionary<BigInteger, string> additionalAcceptedSet, RevealedVectorSet trainingSet,
         GroupCache groupCache) {
     UpdateRejectingClassifierUnits(additionalAcceptedSet.Keys, groupCache);
     var result = UpdateAcceptingClassifierUnits(additionalAcceptedSet, trainingSet,
             groupCache);
     if (result == null) {
         return true;
     }
     var count = GroupPaths.Count;
     var updated = false;
     if (result.Accepted != null
         && result.Accepted.Path != GroupPaths[result.Accepted.Index]) {
         updated |= AddNewGroup(result.Accepted);
     }
     if (result.Rejected.Path != GroupPaths[result.Rejected.Index]) {
         updated |= AddNewGroup(result.Rejected);
     }
     if (updated) {
         groupCache.UpdateGroupCache(this);
     }
     // ReSharper disable once PossibleUnintendedReferenceComparison
     if (GroupPaths.Count == count
         && additionalAcceptedSet == trainingSet.Accepted) {
         throw new Exception("Fail to learn rules");
     }
     Console.WriteLine("Failed to create Classifier units.");
     Console.WriteLine("Groups: " + GroupPaths.Count + " (" + count + ")");
     return false;
 }
Ejemplo n.º 11
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 public void Create(RevealedVectorSet trainingSet, GroupCache groupCache) {
     do {
         Initialize();
     } while (!UpdateClassifierUnits(trainingSet.Accepted, trainingSet, groupCache));
 }
Ejemplo n.º 12
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 public bool Update(
         IDictionary<BigInteger, string> additionalAcceptedSet, RevealedVectorSet trainingSet,
         GroupCache groupCache) {
     var originalClassifierUnit = Units.Select(c => c.Clone()).ToImmutableList();
     if (!UpdateClassifierUnits(additionalAcceptedSet, trainingSet, groupCache)) {
         Create(trainingSet, groupCache);
     }
     return !Units.SequenceEqual(originalClassifierUnit);
 }
Ejemplo n.º 13
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        public ClassificationResult Classify(
            int count, Classifier classifier, GroupCache groupCache,
            EncodingResult encodingResult,
            RevealedVectorSet trainingSet = null)
        {
            trainingSet = trainingSet ?? new RevealedVectorSet();
            var correctlyAccepted            = 0;
            var correctlyRejected            = 0;
            var wronglyAccepted              = 0;
            var wronglyRejected              = 0;
            var correctlyRejectedInRejecting = 0;
            var wronglyRejectedInRejecting   = 0;
            var rejectAccept = new List <List <SuspiciousNode> >();
            var rejectReject = new List <List <SuspiciousNode> >();
            var acceptAccept = new List <List <SuspiciousNode> >();
            var acceptReject = new List <List <SuspiciousNode> >();

            for (int i = 0; i < classifier.GroupCount; i++)
            {
                rejectAccept.Add(new List <SuspiciousNode>());
                rejectReject.Add(new List <SuspiciousNode>());
                acceptAccept.Add(new List <SuspiciousNode>());
                acceptReject.Add(new List <SuspiciousNode>());
            }

            var wrongNodeCount          = 0;
            var wronglyRejectedFeatures = new List <BigInteger>();
            var wronglyAcceptedFeatures = new List <BigInteger>();

            foreach (var vectorAndGroupPath in encodingResult.IdealVectorSet.Accepted)
            {
                var vector     = vectorAndGroupPath.Key;
                var groupPath  = vectorAndGroupPath.Value;
                var groupIndex = groupCache.GetGroupIndex(vector);
                var rejected   = classifier.IsRejected(vector, groupIndex);
                var accepted   = classifier.IsAccepted(vector, groupIndex);
                if (!trainingSet.Accepted.ContainsKey(vector) &&
                    !trainingSet.Rejected.ContainsKey(vector))
                {
                    var target = new SuspiciousNode {
                        Vector   = vector,
                        GroupKey = groupPath,
                        Used     = false,
                    };
                    if (accepted)
                    {
                        if (!rejected)
                        {
                            acceptAccept[groupIndex].Add(target);
                        }
                        else
                        {
                            acceptReject[groupIndex].Add(target);
                        }
                    }
                    else
                    {
                        if (!rejected)
                        {
                            rejectAccept[groupIndex].Add(target);
                        }
                        else
                        {
                            rejectReject[groupIndex].Add(target);
                        }
                    }
                }
                if (!accepted)
                {
                    wronglyRejected++;
                    wrongNodeCount += encodingResult.Vector2Count[vector];
                    wronglyRejectedFeatures.Add(vector);
                }
                else if (!rejected)
                {
                    correctlyAccepted++;
                }
                else
                {
                    wronglyRejectedInRejecting++;
                    wrongNodeCount += encodingResult.Vector2Count[vector];
                    wronglyRejectedFeatures.Add(vector);
                }
            }

            foreach (var vectorAndGroupPath in encodingResult.IdealVectorSet.Rejected)
            {
                var vector     = vectorAndGroupPath.Key;
                var groupPath  = vectorAndGroupPath.Value;
                var groupIndex = groupCache.GetGroupIndex(vector);
                var rejected   = classifier.IsRejected(vector, groupIndex);
                var accepted   = classifier.IsAccepted(vector, groupIndex);
                if (!trainingSet.Accepted.ContainsKey(vector) &&
                    !trainingSet.Rejected.ContainsKey(vector))
                {
                    var target = new SuspiciousNode {
                        Vector   = vector,
                        GroupKey = groupPath,
                        Used     = false,
                    };
                    if (accepted)
                    {
                        if (!rejected)
                        {
                            acceptAccept[groupIndex].Add(target);
                        }
                        else
                        {
                            acceptReject[groupIndex].Add(target);
                        }
                    }
                    else
                    {
                        if (!rejected)
                        {
                            rejectAccept[groupIndex].Add(target);
                        }
                        else
                        {
                            rejectReject[groupIndex].Add(target);
                        }
                    }
                }
                if (!accepted)
                {
                    correctlyRejected++;
                }
                else if (!rejected)
                {
                    wronglyAccepted++;
                    wrongNodeCount += encodingResult.Vector2Count[vector];
                    wronglyAcceptedFeatures.Add(vector);
                }
                else
                {
                    correctlyRejectedInRejecting++;
                }
            }
            Console.WriteLine("done");
            Console.WriteLine(
                "WA: " + wronglyAccepted + ", WR: " + wronglyRejected + "/"
                + wronglyRejectedInRejecting + ", CA: "
                + correctlyAccepted + ", CR: " + correctlyRejected + "/"
                + correctlyRejectedInRejecting);
            Console.WriteLine(
                "TR: "
                + trainingSet.Count + ", AF: "
                + String.Join(", ", classifier.CountAcceptingFeatures())
                + ", RF: "
                + String.Join(", ", classifier.CountRejectingFeatures()));
            var wrongFeatureCount = wronglyAccepted + wronglyRejected
                                    + wronglyRejectedInRejecting;

            var selector = new SuspiciousNodeSelector(classifier.AcceptingFeatureBitMask,
                                                      classifier.RejectingFeatureBitMask);
            var suspiciousNodes = selector.SelectSuspiciousNodes(count, classifier, acceptAccept,
                                                                 acceptReject, rejectAccept, rejectReject);

            return(new ClassificationResult(suspiciousNodes, wronglyAcceptedFeatures,
                                            wronglyRejectedFeatures,
                                            wrongFeatureCount, wrongNodeCount, encodingResult));
        }
Ejemplo n.º 14
0
        public IDictionary<BigInteger, string> RevealSuspiciousElements(
                ICollection<BigInteger> actuallyAcceptedVectors,
                IList<SuspiciousNode> suspiciousNodes,
                EncodingResult encodingResult, RevealedVectorSet trainingSet) {
            var additionalAcceptedVector2GroupPath = new Dictionary<BigInteger, string>();
            foreach (var t in suspiciousNodes) {
                if (actuallyAcceptedVectors.Contains(t.Vector)) {
                    additionalAcceptedVector2GroupPath.Add(t.Vector, t.GroupKey);
                    trainingSet.Accepted.Add(t.Vector, t.GroupKey);
                } else {
                    trainingSet.Rejected.Add(t.Vector, t.GroupKey);
                }
            }

            Console.WriteLine(
                    "Accepted: " + trainingSet.AcceptedCount + " + "
                    + additionalAcceptedVector2GroupPath.Count
                    + " / " + encodingResult.IdealVectorSet.AcceptedCount);
            Console.WriteLine(
                    "Rejected: " + trainingSet.RejectedCount + " + "
                    + (suspiciousNodes.Count - additionalAcceptedVector2GroupPath.Count)
                    + " / " + encodingResult.IdealVectorSet.RejectedCount);

            return additionalAcceptedVector2GroupPath;
        }
Ejemplo n.º 15
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 public void WriteResult(StreamWriter writer, RevealedVectorSet trainingSet = null) {
     if (writer == null) {
         return;
     }
     trainingSet = trainingSet ?? new RevealedVectorSet();
     writer.Write(IdealAcceptedVector2GroupPath.Concat(IdealRejectedVector2GroupPath)
             .Sum(f => Vector2Count[f.Key]));
     writer.Write(",");
     writer.Write(trainingSet.Accepted.Concat(trainingSet.Rejected)
             .Sum(f => Vector2Count[f.Key]));
     writer.Write(",");
     writer.Write(IdealVectorSet.Count);
     writer.Write(",");
     writer.Write(trainingSet.Count);
     writer.Write(",");
     writer.Write(SeedNodeCount);
     writer.Write(",");
     writer.Write(SeedVectorCount);
     writer.Write(",");
     writer.Write(SeedAcceptedNodeCount);
     writer.Write(",");
 }
Ejemplo n.º 16
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 private UpdateResult UpdateAcceptingClassifierUnits(
         IDictionary<BigInteger, string> additionalAcceptedSet, RevealedVectorSet trainingSet,
         GroupCache groupCache) {
     if (additionalAcceptedSet.Count == 0) {
         var rejectedGroupInfo = FindWronglyAcceptedGroupInfo(trainingSet, groupCache);
         if (rejectedGroupInfo != null) {
             return new UpdateResult {
                 Rejected = rejectedGroupInfo,
                 Accepted = null,
             };
         }
         return null;
     }
     foreach (var vectorAndGroupPath in additionalAcceptedSet) {
         var vector = vectorAndGroupPath.Key;
         var groupIndex = groupCache.GetGroupIndex(vector);
         Units[groupIndex].Accepting &= vector;
         var rejectedGroupInfo = FindWronglyAcceptedGroupInfo(trainingSet, groupCache);
         if (rejectedGroupInfo != null) {
             return new UpdateResult {
                 Rejected = rejectedGroupInfo,
                 Accepted = new GroupInfo {
                     Index = groupIndex, Path = vectorAndGroupPath.Value
                 },
             };
         }
     }
     return null;
 }
Ejemplo n.º 17
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 private GroupInfo FindWronglyAcceptedGroupInfo(
         RevealedVectorSet trainingSet, GroupCache groupCache) {
     foreach (var featureAndGroupPath in trainingSet.Rejected) {
         var feature = featureAndGroupPath.Key;
         var groupPath = featureAndGroupPath.Value;
         var groupIndex = groupCache.GetGroupIndex(feature);
         var accepted = IsAccepted(feature, groupIndex) && !IsRejected(feature, groupIndex);
         if (accepted) {
             return new GroupInfo { Index = groupIndex, Path = groupPath };
         }
     }
     return null;
 }
Ejemplo n.º 18
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        public ClassificationResult Classify(
                int count, Classifier classifier, GroupCache groupCache,
                EncodingResult encodingResult,
                RevealedVectorSet trainingSet = null) {
            trainingSet = trainingSet ?? new RevealedVectorSet();
            var correctlyAccepted = 0;
            var correctlyRejected = 0;
            var wronglyAccepted = 0;
            var wronglyRejected = 0;
            var correctlyRejectedInRejecting = 0;
            var wronglyRejectedInRejecting = 0;
            var rejectAccept = new List<List<SuspiciousNode>>();
            var rejectReject = new List<List<SuspiciousNode>>();
            var acceptAccept = new List<List<SuspiciousNode>>();
            var acceptReject = new List<List<SuspiciousNode>>();
            for (int i = 0; i < classifier.GroupCount; i++) {
                rejectAccept.Add(new List<SuspiciousNode>());
                rejectReject.Add(new List<SuspiciousNode>());
                acceptAccept.Add(new List<SuspiciousNode>());
                acceptReject.Add(new List<SuspiciousNode>());
            }

            var wrongNodeCount = 0;
            var wronglyRejectedFeatures = new List<BigInteger>();
            var wronglyAcceptedFeatures = new List<BigInteger>();
            foreach (var vectorAndGroupPath in encodingResult.IdealVectorSet.Accepted) {
                var vector = vectorAndGroupPath.Key;
                var groupPath = vectorAndGroupPath.Value;
                var groupIndex = groupCache.GetGroupIndex(vector);
                var rejected = classifier.IsRejected(vector, groupIndex);
                var accepted = classifier.IsAccepted(vector, groupIndex);
                if (!trainingSet.Accepted.ContainsKey(vector)
                    && !trainingSet.Rejected.ContainsKey(vector)) {
                    var target = new SuspiciousNode {
                        Vector = vector,
                        GroupKey = groupPath,
                        Used = false,
                    };
                    if (accepted) {
                        if (!rejected) {
                            acceptAccept[groupIndex].Add(target);
                        } else {
                            acceptReject[groupIndex].Add(target);
                        }
                    } else {
                        if (!rejected) {
                            rejectAccept[groupIndex].Add(target);
                        } else {
                            rejectReject[groupIndex].Add(target);
                        }
                    }
                }
                if (!accepted) {
                    wronglyRejected++;
                    wrongNodeCount += encodingResult.Vector2Count[vector];
                    wronglyRejectedFeatures.Add(vector);
                } else if (!rejected) {
                    correctlyAccepted++;
                } else {
                    wronglyRejectedInRejecting++;
                    wrongNodeCount += encodingResult.Vector2Count[vector];
                    wronglyRejectedFeatures.Add(vector);
                }
            }

            foreach (var vectorAndGroupPath in encodingResult.IdealVectorSet.Rejected) {
                var vector = vectorAndGroupPath.Key;
                var groupPath = vectorAndGroupPath.Value;
                var groupIndex = groupCache.GetGroupIndex(vector);
                var rejected = classifier.IsRejected(vector, groupIndex);
                var accepted = classifier.IsAccepted(vector, groupIndex);
                if (!trainingSet.Accepted.ContainsKey(vector)
                    && !trainingSet.Rejected.ContainsKey(vector)) {
                    var target = new SuspiciousNode {
                        Vector = vector,
                        GroupKey = groupPath,
                        Used = false,
                    };
                    if (accepted) {
                        if (!rejected) {
                            acceptAccept[groupIndex].Add(target);
                        } else {
                            acceptReject[groupIndex].Add(target);
                        }
                    } else {
                        if (!rejected) {
                            rejectAccept[groupIndex].Add(target);
                        } else {
                            rejectReject[groupIndex].Add(target);
                        }
                    }
                }
                if (!accepted) {
                    correctlyRejected++;
                } else if (!rejected) {
                    wronglyAccepted++;
                    wrongNodeCount += encodingResult.Vector2Count[vector];
                    wronglyAcceptedFeatures.Add(vector);
                } else {
                    correctlyRejectedInRejecting++;
                }
            }
            Console.WriteLine("done");
            Console.WriteLine(
                    "WA: " + wronglyAccepted + ", WR: " + wronglyRejected + "/"
                    + wronglyRejectedInRejecting + ", CA: "
                    + correctlyAccepted + ", CR: " + correctlyRejected + "/"
                    + correctlyRejectedInRejecting);
            Console.WriteLine(
                    "TR: "
                    + trainingSet.Count + ", AF: "
                    + String.Join(", ", classifier.CountAcceptingFeatures())
                    + ", RF: "
                    + String.Join(", ", classifier.CountRejectingFeatures()));
            var wrongFeatureCount = wronglyAccepted + wronglyRejected
                                    + wronglyRejectedInRejecting;

            var selector = new SuspiciousNodeSelector(classifier.AcceptingFeatureBitMask,
                    classifier.RejectingFeatureBitMask);
            var suspiciousNodes = selector.SelectSuspiciousNodes(count, classifier, acceptAccept,
                    acceptReject, rejectAccept, rejectReject);

            return new ClassificationResult(suspiciousNodes, wronglyAcceptedFeatures,
                    wronglyRejectedFeatures,
                    wrongFeatureCount, wrongNodeCount, encodingResult);
        }