aboutsummaryrefslogtreecommitdiffstats
path: root/library/cpp/linear_regression/linear_model.h
diff options
context:
space:
mode:
authorAnton Samokhvalov <pg83@yandex.ru>2022-02-10 16:45:15 +0300
committerDaniil Cherednik <dcherednik@yandex-team.ru>2022-02-10 16:45:15 +0300
commit72cb13b4aff9bc9cf22e49251bc8fd143f82538f (patch)
treeda2c34829458c7d4e74bdfbdf85dff449e9e7fb8 /library/cpp/linear_regression/linear_model.h
parent778e51ba091dc39e7b7fcab2b9cf4dbedfb6f2b5 (diff)
downloadydb-72cb13b4aff9bc9cf22e49251bc8fd143f82538f.tar.gz
Restoring authorship annotation for Anton Samokhvalov <pg83@yandex.ru>. Commit 1 of 2.
Diffstat (limited to 'library/cpp/linear_regression/linear_model.h')
-rw-r--r--library/cpp/linear_regression/linear_model.h62
1 files changed, 31 insertions, 31 deletions
diff --git a/library/cpp/linear_regression/linear_model.h b/library/cpp/linear_regression/linear_model.h
index 8bb050cff7..551bfe36dc 100644
--- a/library/cpp/linear_regression/linear_model.h
+++ b/library/cpp/linear_regression/linear_model.h
@@ -8,35 +8,35 @@
#include <utility>
class TLinearModel {
-private:
- TVector<double> Coefficients;
- double Intercept;
-
-public:
- Y_SAVELOAD_DEFINE(Coefficients, Intercept);
-
- TLinearModel(TVector<double>&& coefficients, const double intercept)
- : Coefficients(std::move(coefficients))
- , Intercept(intercept)
- {
- }
-
- explicit TLinearModel(size_t featuresCount = 0)
- : Coefficients(featuresCount)
- , Intercept(0.)
- {
- }
-
- const TVector<double>& GetCoefficients() const {
- return Coefficients;
- }
-
- double GetIntercept() const {
- return Intercept;
- }
-
- template <typename T>
- double Prediction(const TVector<T>& features) const {
- return InnerProduct(Coefficients, features, Intercept);
- }
+private:
+ TVector<double> Coefficients;
+ double Intercept;
+
+public:
+ Y_SAVELOAD_DEFINE(Coefficients, Intercept);
+
+ TLinearModel(TVector<double>&& coefficients, const double intercept)
+ : Coefficients(std::move(coefficients))
+ , Intercept(intercept)
+ {
+ }
+
+ explicit TLinearModel(size_t featuresCount = 0)
+ : Coefficients(featuresCount)
+ , Intercept(0.)
+ {
+ }
+
+ const TVector<double>& GetCoefficients() const {
+ return Coefficients;
+ }
+
+ double GetIntercept() const {
+ return Intercept;
+ }
+
+ template <typename T>
+ double Prediction(const TVector<T>& features) const {
+ return InnerProduct(Coefficients, features, Intercept);
+ }
};