Mercurial > pylearn

annotate datasets/shapeset1.py @ 509:6fe692b93b69

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added shapeset1
author James Bergstra <bergstrj@iro.umontreal.ca>
date Thu, 30 Oct 2008 11:27:04 -0400
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509
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James Bergstra <bergstrj@iro.umontreal.ca>
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1 """
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James Bergstra <bergstrj@iro.umontreal.ca>
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2 Routines to load/access Shapeset1
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James Bergstra <bergstrj@iro.umontreal.ca>
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3 """
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James Bergstra <bergstrj@iro.umontreal.ca>
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4
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James Bergstra <bergstrj@iro.umontreal.ca>
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5 from __future__ import absolute_import
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6
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James Bergstra <bergstrj@iro.umontreal.ca>
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7 import os
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James Bergstra <bergstrj@iro.umontreal.ca>
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8 import numpy
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9
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James Bergstra <bergstrj@iro.umontreal.ca>
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10 from ..amat import AMat
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James Bergstra <bergstrj@iro.umontreal.ca>
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11 from .config import data_root
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12
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James Bergstra <bergstrj@iro.umontreal.ca>
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13 def _head(path, n):
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14 dat = AMat(path=path, head=n)
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15
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James Bergstra <bergstrj@iro.umontreal.ca>
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16 try:
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James Bergstra <bergstrj@iro.umontreal.ca>
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17 assert dat.input.shape[0] == n
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James Bergstra <bergstrj@iro.umontreal.ca>
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18 assert dat.target.shape[0] == n
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James Bergstra <bergstrj@iro.umontreal.ca>
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19 except Exception , e:
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James Bergstra <bergstrj@iro.umontreal.ca>
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20 raise Exception("failed to read %i lines from file %s" % (n, path))
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21
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22 return dat.input, numpy.asarray(dat.target, dtype='int64').reshape(dat.target.shape[0])
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23
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24
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25 def head_train(n=10000):
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26 """Load the first Shapeset1 training examples.
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27
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28 Returns two matrices: x, y. x has N rows of 1024 columns. Each row of x represents the
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James Bergstra <bergstrj@iro.umontreal.ca>
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29 32x32 grey-scale pixels in raster order. y is a vector of N integers. Each element y[i]
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James Bergstra <bergstrj@iro.umontreal.ca>
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30 is the label of the i'th row of x.
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31
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James Bergstra <bergstrj@iro.umontreal.ca>
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32 """
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33 path = os.path.join(data_root(), 'shapeset1','shapeset1_1cspo_2_3.10000.train.shape.amat')
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James Bergstra <bergstrj@iro.umontreal.ca>
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34 return _head(path, n)
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35
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36 def head_valid(n=5000):
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37 """Load the first Shapeset1 validation examples.
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James Bergstra <bergstrj@iro.umontreal.ca>
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38
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James Bergstra <bergstrj@iro.umontreal.ca>
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39 Returns two matrices: x, y. x has N rows of 1024 columns. Each row of x represents the
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James Bergstra <bergstrj@iro.umontreal.ca>
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40 32x32 grey-scale pixels in raster order. y is a vector of N integers. Each element y[i]
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James Bergstra <bergstrj@iro.umontreal.ca>
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41 is the label of the i'th row of x.
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James Bergstra <bergstrj@iro.umontreal.ca>
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42
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James Bergstra <bergstrj@iro.umontreal.ca>
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43 """
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44 path = os.path.join(data_root(), 'shapeset1','shapeset1_1cspo_2_3.5000.valid.shape.amat')
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James Bergstra <bergstrj@iro.umontreal.ca>
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45 return _head(path, n)
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46
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47 def head_test(n=5000):
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48 """Load the first Shapeset1 testing examples.
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James Bergstra <bergstrj@iro.umontreal.ca>
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49
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50 Returns two matrices: x, y. x has N rows of 1024 columns. Each row of x represents the
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James Bergstra <bergstrj@iro.umontreal.ca>
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51 32x32 grey-scale pixels in raster order. y is a vector of N integers. Each element y[i]
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James Bergstra <bergstrj@iro.umontreal.ca>
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52 is the label of the i'th row of x.
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James Bergstra <bergstrj@iro.umontreal.ca>
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53
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James Bergstra <bergstrj@iro.umontreal.ca>
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54 """
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55 path = os.path.join(data_root(), 'shapeset1','shapeset1_1cspo_2_3.5000.test.shape.amat')
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James Bergstra <bergstrj@iro.umontreal.ca>
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56 return _head(path, n)
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James Bergstra <bergstrj@iro.umontreal.ca>
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57
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58 def train_valid_test(ntrain=10000, nvalid=5000, ntest=5000):
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59 return head_train(n=ntrain), head_valid(n=nvalid), head_test(n=ntest)
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60
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61