Add missing include

SqLoss/LinearModel.h

@@ -1,30 +1,34 @@
 /** Linear model class
     Author: Severin Gsponer ([email protected])
-    The model consist of is represented as vector of tupels from the step_size and the corresponding ngram
+    The model consist of is represented as vector of tupels from the step_size
+and the corresponding ngram
 **/
 
 #ifndef LINEARMODEL_H
 #define LINEARMODEL_H
 
-#include <vector>
-#include <tuple>
-#include <iostream>
-#include <fstream>
-#include <string>
-#include <map>
-#include "unistd.h"
-#include <cstring>
 #include "common.h"
 #include "darts.h"
-#include <memory>
 #include "mmap.h"
+#include "unistd.h"
+#include <cmath>
+#include <cstring>
+#include <fstream>
+#include <iostream>
+#include <map>
+#include <memory>
+#include <string>
+#include <tuple>
+#include <vector>
 
-namespace LinearModel{
-class LinearModel{
- public:
-    LinearModel():da(new Darts::DoubleArray){};
-    LinearModel(std::vector<std::tuple<double, std::string>> fullList):fullList(fullList){};
-    LinearModel(std::string filename, double threshold):da(new Darts::DoubleArray){
+namespace LinearModel {
+class LinearModel {
+  public:
+    LinearModel() : da(new Darts::DoubleArray){};
+    LinearModel(std::vector<std::tuple<double, std::string>> fullList) :
+        fullList(fullList){};
+    LinearModel(std::string filename, double threshold) :
+        da(new Darts::DoubleArray) {
         open(filename, threshold);
     };
 
@@ -33,25 +37,25 @@ class LinearModel{
     void print_model(std::string outfile_name);
     void save_as_binary(std::string outfile_name);
     void build_tree(double multiplyValue = 1);
-    friend bool operator== (const LinearModel &c1, const LinearModel &c2);
+    friend bool operator==(const LinearModel &c1, const LinearModel &c2);
     std::shared_ptr<Darts::DoubleArray> da;
 
-    bool open (std::string file, double threshold);
+    bool open(std::string file, double threshold);
     double get_bias() const;
     void set_bias(double bias);
-    std::vector <double> weights;
+    std::vector<double> weights;
     void normalize_weights();
     long double intercept = 0.0;
- private:
-    double bias = 0.0;
+
+  private:
+    double bias    = 0.0;
     double l1_norm = 0.0;
     double l2_norm = 0.0;
-    std::vector <std::pair<const char *, double> > rules;
+    std::vector<std::pair<const char *, double>> rules;
     std::vector<std::tuple<double, std::string>> fullList;
-
 };
 
-    std::vector<std::tuple<double, std::string>> parse_model(std::string file);
-};
+std::vector<std::tuple<double, std::string>> parse_model(std::string file);
+}; // namespace LinearModel
 
 #endif