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annotate pylearn/datasets/MNIST.py @ 795:f30bb746f279

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put in comment a fct call all that seam to don't be used and conflict with numpy and python name.
author Frederic Bastien <bastienf@iro.umontreal.ca>
date Wed, 15 Jul 2009 13:19:56 -0400
parents 951272679910
children f4729745bb58
rev   line source
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1 """
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2 Various routines to load/access MNIST data.
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3 """
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4 from __future__ import absolute_import
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5
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6 import os
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7 import numpy
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8
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9 from ..io.pmat import PMat
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10 from .config import data_root # config
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11 from .dataset import Dataset
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13 def head(n=10, path=None):
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14 """Load the first MNIST examples.
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15
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16 Returns two matrices: x, y. x has N rows of 784 columns. Each row of x represents the
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17 28x28 grey-scale pixels in raster order. y is a vector of N integers. Each element y[i]
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18 is the label of the i'th row of x.
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19
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20 """
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21 path = os.path.join(data_root(), 'mnist','mnist_all.pmat') if path is None else path
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22
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23 dat = PMat(fname=path)
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25 rows=dat.getRows(0,n)
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27 return rows[:,0:-1], numpy.asarray(rows[:,-1], dtype='int64')
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30 #What is the purpose of this fct?
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31 #If still usefull, rename it as it conflict with the python an numpy nake all.
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32 #def all(path=None):
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33 # return head(n=None, path=path)
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34
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35 def train_valid_test(ntrain=50000, nvalid=10000, ntest=10000, path=None):
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36 all_x, all_targ = head(ntrain+nvalid+ntest, path=path)
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37
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38 rval = Dataset()
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39
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40 rval.train = Dataset.Obj(x=all_x[0:ntrain],
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41 y=all_targ[0:ntrain])
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42 rval.valid = Dataset.Obj(x=all_x[ntrain:ntrain+nvalid],
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43 y=all_targ[ntrain:ntrain+nvalid])
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44 rval.test = Dataset.Obj(x=all_x[ntrain+nvalid:ntrain+nvalid+ntest],
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45 y=all_targ[ntrain+nvalid:ntrain+nvalid+ntest])
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47 rval.n_classes = 10
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48 rval.img_shape = (28,28)
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49 return rval
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51
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52 def full():
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53 return train_valid_test()
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54
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55 #usefull for test, keep it
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56 def first_10():
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57 return train_valid_test(ntrain=10, nvalid=10, ntest=10)
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58
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59 #usefull for test, keep it
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60 def first_100():
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61 return train_valid_test(ntrain=100, nvalid=100, ntest=100)
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62
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63 def first_1k():
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64 return train_valid_test(ntrain=1000, nvalid=200, ntest=200)
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65
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66 def first_10k():
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67 return train_valid_test(ntrain=10000, nvalid=2000, ntest=2000)
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68
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69 #old method from factory idea days... delete when ready -JB20090119
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70 def mnist_factory(variant="", ntrain=None, nvalid=None, ntest=None):
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71 if variant=="":
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72 return full()
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73 elif variant=="1k":
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74 return first_1k()
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75 elif variant=="10k":
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76 return first_10k()
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77 elif variant=="custom":
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78 return train_valid_test(ntrain=ntrain, nvalid=nvalid, ntest=ntest)
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79 else:
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80 raise Exception('Unknown MNIST variant', variant)