problem sets: chess sets

include/NeuralNetwork/ProblemSets/Chess.h

@@ -0,0 +1,29 @@
+#pragma once
+
+#include <vector>
+#include <random>
+
+namespace NeuralNetwork {
+	namespace ProblemSets {
+		typedef std::pair<std::vector<float>, std::vector<float>> TrainingPattern;
+
+		std::vector<TrainingPattern> Chess3X3(float min, std::size_t patterns) {
+			std::vector<TrainingPattern> ret;
+			std::mt19937 _generator(rand());
+			std::uniform_real_distribution<> _distribution(min,1);
+			float step = (1.0-min)/3.0;
+			for(std::size_t i=0;i<patterns;i++) {
+				float x=_distribution(_generator);
+				float y=_distribution(_generator);
+				int classX= (static_cast<int>((x-min)/step) + static_cast<int>((y-min)/step)) % 2;
+				if(classX == 0) {
+					ret.push_back({{x,y},{min}});
+				} else {
+					ret.push_back({{x,y},{1.0}});
+				}
+			}
+			return ret;
+		}
+
+	}
+}