Merge branch 'master' of gitlab.physik.uni-muenchen.de:Nikolai.Hartmann/KerasROOTClassification

* 'master' of gitlab.physik.uni-muenchen.de:Nikolai.Hartmann/KerasROOTClassification:
  turn back on division by mean weight
  make total weight more consistent
  option to evaluate before activation
  python3 compatibility
  model plotting and alternative significance plot
  Improve loading from dir

browse.py

@@ -9,11 +9,11 @@ from KerasROOTClassification import *
 logging.basicConfig()
 logging.getLogger("KerasROOTClassification").setLevel(logging.INFO)
 
-c = ClassificationProject(sys.argv[1])
+c = load_from_dir(sys.argv[1])
 
 cs = []
 cs.append(c)
 
 if len(sys.argv) > 2:
     for project_name in sys.argv[2:]:
-        cs.append(ClassificationProject(project_name))
+        cs.append(load_from_dir(project_name))

utils.py

@@ -156,3 +156,10 @@ class WeightedRobustScaler(RobustScaler):
             return X
         else:
             return super(WeightedRobustScaler, self).transform(X)
+
+
+def poisson_asimov_significance(s, ds, b, db):
+    "see `<http://www.pp.rhul.ac.uk/~cowan/stat/medsig/medsigNote.pdf>`_)"
+    db = np.sqrt(db**2+ds**2)
+    return np.sqrt(2*((s+b)*np.log(((s+b)*(b+db**2))/(b**2+(s+b)*db**2))-(b**2)/(db**2)*np.log(1+(db**2*s)/(b*(b+db**2)))))
+