Restoring authorship annotation for <alex-sh@yandex-team.ru>. Commit 1 of 2.

1 files changed, 52 insertions, 52 deletions

diff --git a/library/cpp/linear_regression/unimodal.h b/library/cpp/linear_regression/unimodal.h
index e11b1118f6..2cb3c531df 100644
--- a/library/cpp/linear_regression/unimodal.h
+++ b/library/cpp/linear_regression/unimodal.h
@@ -1,59 +1,59 @@
-#pragma once
-
-#include "linear_regression.h"
-
-struct TGreedyParams {
-    double LowerBound = 0;
-    double UpperBound = 0;
-    size_t StepsCount = 0;
-
-    double Point(const size_t step) const;
-};
-
-struct TOptimizationParams {
-    TGreedyParams ModeParams;
-    TGreedyParams NormalizerParams;
-
-    double OptimizationShrinkage = 1e-2;
-    double RegressionShrinkage = 1e-5;
-
-    size_t IterationsCount = 1000;
-
+#pragma once 
+ 
+#include "linear_regression.h" 
+ 
+struct TGreedyParams { 
+    double LowerBound = 0; 
+    double UpperBound = 0; 
+    size_t StepsCount = 0; 
+ 
+    double Point(const size_t step) const; 
+}; 
+ 
+struct TOptimizationParams { 
+    TGreedyParams ModeParams; 
+    TGreedyParams NormalizerParams; 
+ 
+    double OptimizationShrinkage = 1e-2; 
+    double RegressionShrinkage = 1e-5; 
+ 
+    size_t IterationsCount = 1000; 
+ 
     TOptimizationParams() = default;
-
+ 
     static TOptimizationParams Default(const TVector<double>& values) {
-        TOptimizationParams optimizationParams;
-
-        optimizationParams.ModeParams.LowerBound = 0;
-        optimizationParams.ModeParams.UpperBound = values.size();
-        optimizationParams.ModeParams.StepsCount = values.size() + 1;
-
-        optimizationParams.NormalizerParams.LowerBound = 0.5;
-        optimizationParams.NormalizerParams.UpperBound = values.size() * 2;
-        optimizationParams.NormalizerParams.StepsCount = values.size() * 2 + 1;
-
-        return optimizationParams;
-    }
-
+        TOptimizationParams optimizationParams; 
+ 
+        optimizationParams.ModeParams.LowerBound = 0; 
+        optimizationParams.ModeParams.UpperBound = values.size(); 
+        optimizationParams.ModeParams.StepsCount = values.size() + 1; 
+ 
+        optimizationParams.NormalizerParams.LowerBound = 0.5; 
+        optimizationParams.NormalizerParams.UpperBound = values.size() * 2; 
+        optimizationParams.NormalizerParams.StepsCount = values.size() * 2 + 1; 
+ 
+        return optimizationParams; 
+    } 
+ 
     static TOptimizationParams Default(const TVector<double>& values, const TVector<double>& arguments) {
-        Y_ASSERT(values.size() == arguments.size());
-
-        TOptimizationParams optimizationParams;
-
-        optimizationParams.ModeParams.LowerBound = *MinElement(arguments.begin(), arguments.end());
-        optimizationParams.ModeParams.UpperBound = *MaxElement(arguments.begin(), arguments.end());
-        optimizationParams.ModeParams.StepsCount = arguments.size() + 1;
-
-        optimizationParams.NormalizerParams.UpperBound = optimizationParams.ModeParams.UpperBound - optimizationParams.ModeParams.LowerBound;
-        optimizationParams.NormalizerParams.StepsCount = arguments.size() * 2 + 1;
-        optimizationParams.NormalizerParams.LowerBound = optimizationParams.NormalizerParams.UpperBound / optimizationParams.NormalizerParams.StepsCount;
-
-        return optimizationParams;
-    }
-};
-
+        Y_ASSERT(values.size() == arguments.size()); 
+ 
+        TOptimizationParams optimizationParams; 
+ 
+        optimizationParams.ModeParams.LowerBound = *MinElement(arguments.begin(), arguments.end()); 
+        optimizationParams.ModeParams.UpperBound = *MaxElement(arguments.begin(), arguments.end()); 
+        optimizationParams.ModeParams.StepsCount = arguments.size() + 1; 
+ 
+        optimizationParams.NormalizerParams.UpperBound = optimizationParams.ModeParams.UpperBound - optimizationParams.ModeParams.LowerBound; 
+        optimizationParams.NormalizerParams.StepsCount = arguments.size() * 2 + 1; 
+        optimizationParams.NormalizerParams.LowerBound = optimizationParams.NormalizerParams.UpperBound / optimizationParams.NormalizerParams.StepsCount; 
+ 
+        return optimizationParams; 
+    } 
+}; 
+ 
 double MakeUnimodal(TVector<double>& values, const TOptimizationParams& optimizationParams);
 double MakeUnimodal(TVector<double>& values);
-
+ 
 double MakeUnimodal(TVector<double>& values, const TVector<double>& arguments, const TOptimizationParams& optimizationParams);
 double MakeUnimodal(TVector<double>& values, const TVector<double>& arguments);