Mercurial > pylearn

annotate statscollector.py @ 67:810a8e3c85e1

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fixed horrible memory leak from crossentropy...
author bergstra@is23.m
date Fri, 18 Apr 2008 03:35:58 -0400
parents 2cd82666b9a7
children f62a03c9d485
rev   line source
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2cd82666b9a7 Added statscollector and started writing dataset and learner.
bengioy@esprit.iro.umontreal.ca
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1
2cd82666b9a7 Added statscollector and started writing dataset and learner.
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2 from numpy import *
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3
2cd82666b9a7 Added statscollector and started writing dataset and learner.
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4 class StatsCollector(object):
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5 """A StatsCollector object is used to record performance statistics during training
2cd82666b9a7 Added statscollector and started writing dataset and learner.
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6 or testing of a learner. It can be configured to measure different things and
2cd82666b9a7 Added statscollector and started writing dataset and learner.
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7 accumulate the appropriate statistics. From these statistics it can be interrogated
2cd82666b9a7 Added statscollector and started writing dataset and learner.
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8 to obtain performance measures of interest (such as maxima, minima, mean, standard
2cd82666b9a7 Added statscollector and started writing dataset and learner.
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9 deviation, standard error, etc.). Optionally, the observations can be weighted
2cd82666b9a7 Added statscollector and started writing dataset and learner.
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10 (yielded weighted mean, weighted variance, etc., where applicable). The statistics
2cd82666b9a7 Added statscollector and started writing dataset and learner.
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11 that are desired can be specified among a list supported by the StatsCollector
2cd82666b9a7 Added statscollector and started writing dataset and learner.
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12 class or subclass. When some statistics are requested, others become automatically
2cd82666b9a7 Added statscollector and started writing dataset and learner.
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13 available (e.g., sum or mean)."""
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2cd82666b9a7 Added statscollector and started writing dataset and learner.
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15 default_statistics = [mean,standard_deviation,min,max]
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16
2cd82666b9a7 Added statscollector and started writing dataset and learner.
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17 __init__(self,n_quantities_observed, statistics=default_statistics):
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18 self.n_quantities_observed=n_quantities_observed
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19
2cd82666b9a7 Added statscollector and started writing dataset and learner.
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20 clear(self):
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21 raise NotImplementedError
2cd82666b9a7 Added statscollector and started writing dataset and learner.
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22
2cd82666b9a7 Added statscollector and started writing dataset and learner.
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23 update(self,observations):
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24 """The observations is a numpy vector of length n_quantities_observed. Some
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25 entries can be 'missing' (with a NaN entry) and will not be counted in the
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26 statistics."""
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27 raise NotImplementedError
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28
2cd82666b9a7 Added statscollector and started writing dataset and learner.
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29 __getattr__(self, statistic)
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30 """Return a particular statistic, which may be inferred from the collected statistics.
2cd82666b9a7 Added statscollector and started writing dataset and learner.
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31 The argument is a string naming that statistic."""
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