Mercurial > pylearn

annotate doc/v2_planning/dataset.py @ 1174:fe6c25eb1e37

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merge
author pascanur
date Fri, 17 Sep 2010 16:13:58 -0400
parents 9686c0d9689d
children
rev   line source
1157
9686c0d9689d Quick implementation of the Dataset Api we propose.
Arnaud Bergeron <abergeron@gmail.com>
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1 class DataColumn(object):
9686c0d9689d Quick implementation of the Dataset Api we propose.
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2 def __init__(self, loader, **metadata):
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3 self.loader = loader
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4 self.batch_size = 0
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5 self.modulo = None
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6 self.metadata = metadata
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7
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8 def __getitem__(self, idx):
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9 if isinstance(idx, slice):
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10 return self.loader.getitem(idx.start, idx.stop)
9686c0d9689d Quick implementation of the Dataset Api we propose.
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11 else:
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12 return self.loader.getitem(idx, idx+1)
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13
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14 def group(size, modulo):
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15 self.batch_size = size
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16 self.module = modulo
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17
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18 def __iter__(self):
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19 return DsetIter(self, self.size, self.modulo)
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20
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21 def get_sub_datacolumn(self, i, j):
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22 return DataColumn(DsetLoader(self, i, j), **self.metadata)
9686c0d9689d Quick implementation of the Dataset Api we propose.
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23
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24 def length(self):
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25 return self.loader.length()
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26
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27 class DsetIter(object):
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28 def __init__(self, dset, size, modulo):
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29 self.dset = dset
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30 self.size = size
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31 self.modulo = modulo
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32 self.pos = 0
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33
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34 def __iter__(self):
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35 return self
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36
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37 def next(self):
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38 res = self.dset[self.pos*self.size:(self.pos+self.size)*self.size]
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39 if len(res) == 0:
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40 raise StopIteration
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41 if len(res) != self.size:
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42 if modulo == True:
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43 return res
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44 if modulo == False:
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45 raise StopIteration
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46
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47 class DsetLoader(object):
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48 def __init__(self, dset, start, stop):
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49 self.dset = dset
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50 self.start = start
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51 self.stop = stop
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52 if self.start is None:
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53 self.start = 0
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54 if self.stop is None:
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55 self.stop = self.dset.length()
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56
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57 def getitem(self, i, j):
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58 if self.stop is None:
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59 return self.dset[self.start+i:self.start+j]
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60 else:
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61 return self.dset[min(self.start+i, self.stop):
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62 min(self.start+j, self.stop)]
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63
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64 def length(self):
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65 if self.stop is None:
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66 return None
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67 else:
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68 return self.stop - self.start
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69
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70 class Dataset(object):
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71 def __init__(self, cols):
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72 self.cols = cols
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73
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74 def get_sub_dataset(self, start, stop):
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75 return Dataset([c.get_sub_datacolumn(start, stop) for c in self.cols])
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76
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77 # we could have the __getitem__ interface and the iterator interface also