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import numpy as np |
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class Meter(object): |
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"""Meters provide a way to keep track of important statistics in an online manner. |
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This class is abstract, but provides a standard interface for all meters to follow. |
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""" |
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def reset(self): |
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"""Reset the meter to default settings.""" |
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pass |
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def add(self, value): |
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"""Log a new value to the meter |
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Args: |
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value: Next result to include. |
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""" |
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pass |
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def value(self): |
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"""Get the value of the meter in the current state.""" |
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pass |
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class AverageValueMeter(Meter): |
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def __init__(self): |
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super(AverageValueMeter, self).__init__() |
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self.reset() |
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self.val = 0 |
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def add(self, value, n=1): |
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self.val = value |
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self.sum += value |
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self.var += value * value |
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self.n += n |
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if self.n == 0: |
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self.mean, self.std = np.nan, np.nan |
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elif self.n == 1: |
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self.mean = 0.0 + self.sum |
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self.std = np.inf |
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self.mean_old = self.mean |
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self.m_s = 0.0 |
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else: |
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self.mean = self.mean_old + (value - n * self.mean_old) / float(self.n) |
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self.m_s += (value - self.mean_old) * (value - self.mean) |
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self.mean_old = self.mean |
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self.std = np.sqrt(self.m_s / (self.n - 1.0)) |
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def value(self): |
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return self.mean, self.std |
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def reset(self): |
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self.n = 0 |
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self.sum = 0.0 |
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self.var = 0.0 |
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self.val = 0.0 |
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self.mean = np.nan |
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self.mean_old = 0.0 |
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self.m_s = 0.0 |
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self.std = np.nan |
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