make bins orthogonal in get_bin_centered_hist

toolkit.py

@@ -808,7 +808,7 @@ class ClassificationProject(object):
         if "weights" in np_kwargs:
             errors = []
             for left, right in zip(bins, bins[1:]):
-                indices = np.where((x >= left) & (x <= right))[0]
+                indices = np.where((x >= left) & (x < right))[0]
                 sumw2 = np.sum(np_kwargs["weights"][indices]**2)
                 content = np.sum(np_kwargs["weights"][indices])
                 errors.append(math.sqrt(sumw2)/content)
@@ -1085,7 +1085,7 @@ if __name__ == "__main__":
                               #optimizer_opts=dict(lr=100., decay=1e-6, momentum=0.9),
                                 earlystopping_opts=dict(monitor='val_loss',
                                                         min_delta=0, patience=2, verbose=0, mode='auto'),
-                              selection="lep1Pt<5000", # cut out a few very weird outliers
+                              selection="1",
                               branches = ["met", "mt"],
                               weight_expr = "eventWeight*genWeight",
                               identifiers = ["DatasetNumber", "EventNumber"],