add the regression benchmark

benchmarks/regression/evaluation.py

@@ -0,0 +1,21 @@
+# Copyright (c) 2015, Zhenwen Dai
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+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'
+    
+    def evaluate(self, gt, pred):
+        return np.sqrt(np.square(gt-pred).astype(np.float).mean())
+