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22 lines
498 B
Python
22 lines
498 B
Python
# Copyright (c) 2015, Zhenwen Dai
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# Licensed under the BSD 3-clause license (see LICENSE.txt)
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import abc
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import numpy as np
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class Evaluation(object):
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__metaclass__ = abc.ABCMeta
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@abc.abstractmethod
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def evaluate(self, gt, pred):
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"""Compute a scalar for access the performance"""
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return None
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class RMSE(Evaluation):
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"Rooted Mean Square Error"
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name = "RMSE"
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def evaluate(self, gt, pred):
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return np.sqrt(np.square(gt - pred).astype(float).mean())
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