new_contents: from sklearn.tree import tree
  from sklearn.datasets import load_iris
  
  from onl.nok.sklearn.Porter import port
  
  iris = load_iris()
  clf = tree.DecisionTreeClassifier()
  clf.fit(iris.data, iris.target)
  
  # Cheese!
  
  print(port(clf, language='js'))
  
  """
  var predict = function(atts) {
      if (atts.length != 4) { return -1; };
      var classes = new Array(3);
  
      if (atts[2] <= 2.4500000476837158) {
          classes[0] = 50;
          classes[1] = 0;
          classes[2] = 0;
      } else {
          if (atts[3] <= 1.75) {
              if (atts[2] <= 4.9499998092651367) {
                  if (atts[3] <= 1.6500000953674316) {
                      classes[0] = 0;
                      classes[1] = 47;
                      classes[2] = 0;
                  } else {
                      classes[0] = 0;
                      classes[1] = 0;
                      classes[2] = 1;
                  }
              } else {
                  if (atts[3] <= 1.5499999523162842) {
                      classes[0] = 0;
                      classes[1] = 0;
                      classes[2] = 3;
                  } else {
                      if (atts[0] <= 6.9499998092651367) {
                          classes[0] = 0;
                          classes[1] = 2;
                          classes[2] = 0;
                      } else {
                          classes[0] = 0;
                          classes[1] = 0;
                          classes[2] = 1;
                      }
                  }
              }
          } else {
              if (atts[2] <= 4.8500003814697266) {
                  if (atts[1] <= 3.0999999046325684) {
                      classes[0] = 0;
                      classes[1] = 0;
                      classes[2] = 2;
                  } else {
                      classes[0] = 0;
                      classes[1] = 1;
                      classes[2] = 0;
                  }
              } else {
                  classes[0] = 0;
                  classes[1] = 0;
                  classes[2] = 43;
              }
          }
      }
  
      var class_idx = 0, class_val = classes[0];
      for (var i = 1; i < 3; i++) {
          if (classes[i] > class_val) {
              class_idx = i;
              class_val = classes[i];
          }
      }
      return class_idx;
  };
  """
subject: add js example