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authorVlad Yaroslavlev <vladon@vladon.com>2022-02-10 16:46:23 +0300
committerDaniil Cherednik <dcherednik@yandex-team.ru>2022-02-10 16:46:23 +0300
commit706b83ed7de5a473436620367af31fc0ceecde07 (patch)
tree103305d30dec77e8f6367753367f59b3cd68f9f1 /library/cpp/linear_regression/unimodal.cpp
parent918e8a1574070d0ec733f0b76cfad8f8892ad2e5 (diff)
downloadydb-706b83ed7de5a473436620367af31fc0ceecde07.tar.gz
Restoring authorship annotation for Vlad Yaroslavlev <vladon@vladon.com>. Commit 1 of 2.
Diffstat (limited to 'library/cpp/linear_regression/unimodal.cpp')
-rw-r--r--library/cpp/linear_regression/unimodal.cpp14
1 files changed, 7 insertions, 7 deletions
diff --git a/library/cpp/linear_regression/unimodal.cpp b/library/cpp/linear_regression/unimodal.cpp
index 729011012a..bbca9e9463 100644
--- a/library/cpp/linear_regression/unimodal.cpp
+++ b/library/cpp/linear_regression/unimodal.cpp
@@ -22,7 +22,7 @@ namespace {
double SSE = 0.;
- TOptimizationState(const TVector<double>& values) {
+ TOptimizationState(const TVector<double>& values) {
SSE = InnerProduct(values, values);
}
@@ -44,7 +44,7 @@ double TGreedyParams::Point(const size_t step) const {
return LowerBound * (1 - alpha) + UpperBound * alpha;
}
-double MakeUnimodal(TVector<double>& values, const TOptimizationParams& optimizationParams) {
+double MakeUnimodal(TVector<double>& values, const TOptimizationParams& optimizationParams) {
TOptimizationState state(values);
TOptimizationState bestState = state;
@@ -80,19 +80,19 @@ double MakeUnimodal(TVector<double>& values, const TOptimizationParams& optimiza
return determination;
}
-double MakeUnimodal(TVector<double>& values) {
+double MakeUnimodal(TVector<double>& values) {
return MakeUnimodal(values, TOptimizationParams::Default(values));
}
-double MakeUnimodal(TVector<double>& values, const TVector<double>& arguments, const TOptimizationParams& optimizationParams) {
+double MakeUnimodal(TVector<double>& values, const TVector<double>& arguments, const TOptimizationParams& optimizationParams) {
Y_ASSERT(values.size() == arguments.size());
- TMap<double, double> mapping;
+ TMap<double, double> mapping;
for (size_t i = 0; i < values.size(); ++i) {
mapping[arguments[i]] = values[i];
}
- TVector<double> preparedValues;
+ TVector<double> preparedValues;
preparedValues.reserve(mapping.size());
for (auto&& argWithValue : mapping) {
@@ -113,6 +113,6 @@ double MakeUnimodal(TVector<double>& values, const TVector<double>& arguments, c
return result;
}
-double MakeUnimodal(TVector<double>& values, const TVector<double>& arguments) {
+double MakeUnimodal(TVector<double>& values, const TVector<double>& arguments) {
return MakeUnimodal(values, arguments, TOptimizationParams::Default(values, arguments));
}