Mercurial > pylearn
comparison dataset.py @ 310:ebccfd05ccd5
dataset.subset implemented
| author | Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca> |
|---|---|
| date | Wed, 11 Jun 2008 11:43:54 -0400 |
| parents | 923de30457f0 |
| children | 009ce84e9f52 |
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| 309:923de30457f0 | 310:ebccfd05ccd5 |
|---|---|
| 504 return example | 504 return example |
| 505 | 505 |
| 506 # what in the world is i? | 506 # what in the world is i? |
| 507 raise TypeError(i, type(i)) | 507 raise TypeError(i, type(i)) |
| 508 | 508 |
| 509 | |
| 510 """ | |
| 511 Enables the call dataset.subset[a:b:c] that will return a DataSet | |
| 512 around the examples returned by __getitem__(slice(a,b,c)) | |
| 513 | |
| 514 @SEE DataSet.__getsubset(self) | |
| 515 """ | |
| 516 subset = property(lambda s : s.__getsubset(),doc="returns a subset as a DataSet") | |
| 517 | |
| 518 | |
| 519 def __getsubset(self) : | |
| 520 """ | |
| 521 Enables the call data.subset[a:b:c], returns a DataSet. | |
| 522 Default implementation is a simple wrap around __getitem__() using MinibatchDataSet. | |
| 523 | |
| 524 @RETURN DataSet | |
| 525 @SEE DataSet.subset = property(lambda s : s.__getsubset()) | |
| 526 """ | |
| 527 _self = self | |
| 528 class GetSliceReturnsDataSet(object) : | |
| 529 def __getitem__(self,slice) : | |
| 530 return MinibatchDataSet(_self.__getitem__(slice)) | |
| 531 return GetSliceReturnsDataSet() | |
| 532 | |
| 533 | |
| 534 | |
| 509 def valuesHStack(self,fieldnames,fieldvalues): | 535 def valuesHStack(self,fieldnames,fieldvalues): |
| 510 """ | 536 """ |
| 511 Return a value that corresponds to concatenating (horizontally) several field values. | 537 Return a value that corresponds to concatenating (horizontally) several field values. |
| 512 This can be useful to merge some fields. The implementation of this operation is likely | 538 This can be useful to merge some fields. The implementation of this operation is likely |
| 513 to involve a copy of the original values. When the values are numpy arrays, the | 539 to involve a copy of the original values. When the values are numpy arrays, the |