replace np.float by float

benchmarks/regression/evaluation.py

@@ -4,18 +4,19 @@
 import abc
 import numpy as np
 
+
 class Evaluation(object):
     __metaclass__ = abc.ABCMeta
-    
+
     @abc.abstractmethod
     def evaluate(self, gt, pred):
         """Compute a scalar for access the performance"""
         return None
 
+
 class RMSE(Evaluation):
     "Rooted Mean Square Error"
-    name = 'RMSE'
-    
+    name = "RMSE"
+
     def evaluate(self, gt, pred):
-        return np.sqrt(np.square(gt-pred).astype(np.float).mean())
-    
+        return np.sqrt(np.square(gt - pred).astype(float).mean())