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authorDaniel Baumann <daniel.baumann@progress-linux.org>2023-05-08 16:27:08 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2023-05-08 16:27:08 +0000
commit81581f9719bc56f01d5aa08952671d65fda9867a (patch)
tree0f5c6b6138bf169c23c9d24b1fc0a3521385cb18 /ml/KMeans.h
parentReleasing debian version 1.38.1-1. (diff)
downloadnetdata-81581f9719bc56f01d5aa08952671d65fda9867a.tar.xz
netdata-81581f9719bc56f01d5aa08952671d65fda9867a.zip
Merging upstream version 1.39.0.
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to '')
-rw-r--r--ml/KMeans.h41
1 files changed, 0 insertions, 41 deletions
diff --git a/ml/KMeans.h b/ml/KMeans.h
deleted file mode 100644
index 0398eeb8..00000000
--- a/ml/KMeans.h
+++ /dev/null
@@ -1,41 +0,0 @@
-// SPDX-License-Identifier: GPL-3.0-or-later
-
-#ifndef KMEANS_H
-#define KMEANS_H
-
-#include <atomic>
-#include <vector>
-#include <limits>
-#include <mutex>
-
-#include "SamplesBuffer.h"
-#include "json/single_include/nlohmann/json.hpp"
-
-class KMeans {
-public:
- KMeans(size_t NumClusters = 2) : NumClusters(NumClusters) {
- MinDist = std::numeric_limits<CalculatedNumber>::max();
- MaxDist = std::numeric_limits<CalculatedNumber>::min();
- };
-
- void train(const std::vector<DSample> &Samples, size_t MaxIterations);
- CalculatedNumber anomalyScore(const DSample &Sample) const;
-
- void toJson(nlohmann::json &J) const {
- J = nlohmann::json{
- {"CCs", ClusterCenters},
- {"MinDist", MinDist},
- {"MaxDist", MaxDist}
- };
- }
-
-private:
- size_t NumClusters;
-
- std::vector<DSample> ClusterCenters;
-
- CalculatedNumber MinDist;
- CalculatedNumber MaxDist;
-};
-
-#endif /* KMEANS_H */