seriesClassification: check against one label

RapidAPI/RapidAPI/main.cpp

@@ -241,7 +241,11 @@ int main(int argc, const char * argv[]) {
     assert(myDTW.run(seriesTwo) == "second series");
     //std::cout << myDTW.getCosts()[0] << std::endl;
     //std::cout << myDTW.getCosts()[1] << std::endl;
-    
+
+    //testing match against single label
+    assert(myDTW.run(seriesOne, "second series") == 19.325403217417502);
+   
+    //Training set stats
     assert(myDTW.getMaxLength() == 5);
     assert(myDTW.getMinLength() == 4);
     assert(myDTW.getMaxLength("first series") == 5);

src/seriesClassification.cpp

@@ -83,6 +83,23 @@ std::string seriesClassification<T>::run(const std::vector<std::vector<T>> &inpu
     return allTrainingSeries[closestSeries].label;
 };
 
+template<typename T>
+T seriesClassification<T>::run(const std::vector<std::vector<T>> &inputSeries, std::string label) {
+    int closestSeries = 0;
+    allCosts.clear();
+    T lowestCost = std::numeric_limits<T>::max();
+    for (int i = 0; i < allTrainingSeries.size(); ++i) {
+        if (allTrainingSeries[i].label == label) {
+            T currentCost = fastDTW<T>::getCost(inputSeries, allTrainingSeries[i].input, SEARCH_RADIUS);
+            allCosts.push_back(currentCost);
+            if (currentCost < lowestCost) {
+                lowestCost = currentCost;
+                closestSeries = i;
+            }
+        }
+    }
+    return lowestCost;
+};
 
 template<typename T>
 std::vector<T> seriesClassification<T>::getCosts() {

src/seriesClassification.h

@@ -24,7 +24,10 @@ public:
     
     bool train(const std::vector<trainingSeries<T> > &seriesSet);
     void reset();
+    
     std::string run(const std::vector<std::vector<T>> &inputSeries);
+    T run(const std::vector<std::vector<T>> &inputSeries, std::string label);
+    
     std::vector<T> getCosts();
     
     int getMinLength();