From 80f3bea22f7a6bec26bf57234bd74a81b675dd4a Mon Sep 17 00:00:00 2001
From: Shin <Tom.Cernik@gmail.com>
Date: Tue, 6 Sep 2016 00:00:08 +0200
Subject: [PATCH] Logical problem set min param

---
 include/NeuralNetwork/ProblemSets/Logical.h | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/include/NeuralNetwork/ProblemSets/Logical.h b/include/NeuralNetwork/ProblemSets/Logical.h
index b826310..969ea12 100644
--- a/include/NeuralNetwork/ProblemSets/Logical.h
+++ b/include/NeuralNetwork/ProblemSets/Logical.h
@@ -6,12 +6,12 @@ namespace NeuralNetwork {
 	namespace ProblemSets {
 		typedef std::pair<std::vector<float>, std::vector<float>> TrainingPattern;
 
-		std::vector<TrainingPattern> And() {
-			return {{{0,1},{0}},{{1,0},{0}},{{1,1},{1}},{{0,0},{0}}};
+		std::vector<TrainingPattern> And(float min = 0.0) {
+			return {{{min,1},{min}},{{1,min},{min}},{{1,1},{1}},{{min,min},{min}}};
 		}
 
-		std::vector<TrainingPattern> Or() {
-			return {{{0,1},{1}},{{1,0},{1}},{{1,1},{1}},{{0,0},{0}}};
+		std::vector<TrainingPattern> Or(float min = 0.0) {
+			return {{{min,1},{1}},{{1,min},{1}},{{1,1},{1}},{{min,min},{min}}};
 		}
 
 		std::vector<TrainingPattern> Xor(float min = 0.0) {