Restoring authorship annotation for <[email protected]>. Commit 1 of 2.

1 files changed, 66 insertions, 66 deletions

diff --git a/library/cpp/linear_regression/welford.h b/library/cpp/linear_regression/welford.h
index ee865d66937..32c30f0a9a2 100644
--- a/library/cpp/linear_regression/welford.h
+++ b/library/cpp/linear_regression/welford.h
@@ -1,77 +1,77 @@
-#pragma once
-
+#pragma once 
+ 
 #include <library/cpp/accurate_accumulate/accurate_accumulate.h>
-
-#include <util/ysaveload.h>
-
-// accurately computes (w_1 * x_1 + w_2 * x_2 + ... + w_n * x_n) / (w_1 + w_2 + ... + w_n)
-class TMeanCalculator {
-private:
-    double Mean = 0.;
-    TKahanAccumulator<double> SumWeights;
-
-public:
+ 
+#include <util/ysaveload.h> 
+ 
+// accurately computes (w_1 * x_1 + w_2 * x_2 + ... + w_n * x_n) / (w_1 + w_2 + ... + w_n) 
+class TMeanCalculator { 
+private: 
+    double Mean = 0.; 
+    TKahanAccumulator<double> SumWeights; 
+
+public: 
     Y_SAVELOAD_DEFINE(Mean, SumWeights);
-
-    void Multiply(const double value);
-    void Add(const double value, const double weight = 1.);
-    void Remove(const double value, const double weight = 1.);
-    double GetMean() const;
-    double GetSumWeights() const;
+ 
+    void Multiply(const double value); 
+    void Add(const double value, const double weight = 1.); 
+    void Remove(const double value, const double weight = 1.); 
+    double GetMean() const; 
+    double GetSumWeights() const; 
     void Reset();
-
+ 
     bool operator<(const TMeanCalculator& other) const {
-        return Mean < other.Mean;
-    }
-
+        return Mean < other.Mean; 
+    } 
+ 
     bool operator>(const TMeanCalculator& other) const {
-        return Mean > other.Mean;
-    }
-};
-
-// accurately computes (w_1 * x_1 * y_1 + w_2 * x_2 * y_2 + ... + w_n * x_n * y_n) / (w_1 + w_2 + ... + w_n)
-class TCovariationCalculator {
-private:
-    double Covariation = 0.;
-
-    double FirstValueMean = 0.;
-    double SecondValueMean = 0.;
-
-    TKahanAccumulator<double> SumWeights;
-
-public:
+        return Mean > other.Mean; 
+    } 
+}; 
+ 
+// accurately computes (w_1 * x_1 * y_1 + w_2 * x_2 * y_2 + ... + w_n * x_n * y_n) / (w_1 + w_2 + ... + w_n) 
+class TCovariationCalculator { 
+private: 
+    double Covariation = 0.; 
+ 
+    double FirstValueMean = 0.; 
+    double SecondValueMean = 0.; 
+ 
+    TKahanAccumulator<double> SumWeights; 
+
+public: 
     Y_SAVELOAD_DEFINE(Covariation, FirstValueMean, SecondValueMean, SumWeights);
-
-    void Add(const double firstValue, const double secondValue, const double weight = 1.);
-    void Remove(const double firstValue, const double secondValue, const double weight = 1.);
-
-    double GetFirstValueMean() const;
-    double GetSecondValueMean() const;
-
-    double GetCovariation() const;
-
-    double GetSumWeights() const;
+ 
+    void Add(const double firstValue, const double secondValue, const double weight = 1.); 
+    void Remove(const double firstValue, const double secondValue, const double weight = 1.); 
+ 
+    double GetFirstValueMean() const; 
+    double GetSecondValueMean() const; 
+ 
+    double GetCovariation() const; 
+ 
+    double GetSumWeights() const; 
 
     void Reset();
-};
-
-// accurately computes (w_1 * x_1 * x_1 + w_2 * x_2 * x_2 + ... + w_n * x_n * x_n) / (w_1 + w_2 + ... + w_n)
-class TDeviationCalculator {
-private:
-    double Deviation = 0.;
-    TMeanCalculator MeanCalculator;
-
-public:
+}; 
+ 
+// accurately computes (w_1 * x_1 * x_1 + w_2 * x_2 * x_2 + ... + w_n * x_n * x_n) / (w_1 + w_2 + ... + w_n) 
+class TDeviationCalculator { 
+private: 
+    double Deviation = 0.; 
+    TMeanCalculator MeanCalculator; 
+
+public: 
     Y_SAVELOAD_DEFINE(Deviation, MeanCalculator);
-
-    void Add(const double value, const double weight = 1.);
-    void Remove(const double value, const double weight = 1.);
-
-    double GetMean() const;
-    double GetDeviation() const;
-    double GetStdDev() const;
-
-    double GetSumWeights() const;
+ 
+    void Add(const double value, const double weight = 1.); 
+    void Remove(const double value, const double weight = 1.); 
+ 
+    double GetMean() const; 
+    double GetDeviation() const; 
+    double GetStdDev() const; 
+ 
+    double GetSumWeights() const; 
 
     void Reset();
-};
+};