From eeb44fff3b21a0abc3a28ecf80df8ea214338f2a Mon Sep 17 00:00:00 2001
From: vnik <vnik@yandex-team.ru>
Date: Thu, 10 Feb 2022 16:50:11 +0300
Subject: Restoring authorship annotation for <vnik@yandex-team.ru>. Commit 2
of 2.
---
library/cpp/linear_regression/linear_regression.cpp | 18 +++++++++---------
1 file changed, 9 insertions(+), 9 deletions(-)
(limited to 'library/cpp/linear_regression/linear_regression.cpp')
diff --git a/library/cpp/linear_regression/linear_regression.cpp b/library/cpp/linear_regression/linear_regression.cpp
index e19c4a8736..150f9d214e 100644
--- a/library/cpp/linear_regression/linear_regression.cpp
+++ b/library/cpp/linear_regression/linear_regression.cpp
@@ -41,8 +41,8 @@ bool TFastLinearRegressionSolver::Add(const TVector<double>& features, const dou
*olsVectorElement += weightedGoal;
SumSquaredGoals += goal * goal * weight;
-
- return true;
+
+ return true;
}
bool TLinearRegressionSolver::Add(const TVector<double>& features, const double goal, const double weight) {
@@ -59,7 +59,7 @@ bool TLinearRegressionSolver::Add(const TVector<double>& features, const double
SumWeights += weight;
if (!SumWeights.Get()) {
- return false;
+ return false;
}
for (size_t featureNumber = 0; featureNumber < featuresCount; ++featureNumber) {
@@ -109,8 +109,8 @@ bool TLinearRegressionSolver::Add(const TVector<double>& features, const double
const double oldGoalsMean = GoalsMean;
GoalsMean += weight * (goal - GoalsMean) / SumWeights.Get();
GoalsDeviation += weight * (goal - oldGoalsMean) * (goal - GoalsMean);
-
- return true;
+
+ return true;
}
TLinearModel TFastLinearRegressionSolver::Solve() const {
@@ -147,10 +147,10 @@ double TLinearRegressionSolver::SumSquaredErrors() const {
return ::SumSquaredErrors(LinearizedOLSMatrix, OLSVector, coefficients, GoalsDeviation);
}
-bool TSLRSolver::Add(const double feature, const double goal, const double weight) {
+bool TSLRSolver::Add(const double feature, const double goal, const double weight) {
SumWeights += weight;
if (!SumWeights.Get()) {
- return false;
+ return false;
}
const double weightedFeatureDiff = weight * (feature - FeaturesMean);
@@ -163,8 +163,8 @@ bool TSLRSolver::Add(const double feature, const double goal, const double weigh
GoalsDeviation += weightedGoalDiff * (goal - GoalsMean);
Covariation += weightedFeatureDiff * (goal - GoalsMean);
-
- return true;
+
+ return true;
}
bool TSLRSolver::Add(const double* featuresBegin,
--
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