From 2f1afc368ecccedc74445f340eab5d878543a751 Mon Sep 17 00:00:00 2001
From: lisyarus <lisyarus@gmail.com>
Date: Thu, 20 Jan 2022 14:19:10 +0300
Subject: [PATCH] Rename evaluate -> apply

---
 libs/ml/include/psemek/ml/neural_net/evaluator.hpp | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/libs/ml/include/psemek/ml/neural_net/evaluator.hpp b/libs/ml/include/psemek/ml/neural_net/evaluator.hpp
index 82aafb51..6143f7a1 100644
--- a/libs/ml/include/psemek/ml/neural_net/evaluator.hpp
+++ b/libs/ml/include/psemek/ml/neural_net/evaluator.hpp
@@ -18,7 +18,7 @@ namespace psemek::ml
 	template <typename T>
 	struct neural_net_evaluator
 	{
-		std::vector<T> evaluate(neural_net<T> const & nn, std::vector<T> input) const;
+		std::vector<T> apply(neural_net<T> const & nn, std::vector<T> input) const;
 	private:
 		mutable std::vector<T> temp_;
 	};
@@ -27,7 +27,7 @@ namespace psemek::ml
 	extern template struct neural_net_evaluator<double>;
 
 	template <typename T>
-	std::vector<T> neural_net_evaluator<T>::evaluate(neural_net<T> const & nn, std::vector<T> input) const
+	std::vector<T> neural_net_evaluator<T>::apply(neural_net<T> const & nn, std::vector<T> input) const
 	{
 		auto layer_sizes = nn.layer_sizes();
 		auto weights = nn.weights().begin();